Browse Topic: Mirrors

Items (725)
The finite width of ultrasonic array elements results in a non-uniform angular radiation pattern of elastic waves in solids, deviating from the ideal point-source assumption commonly adopted in reverse-time migration (RTM). This angular radiation non-uniformity produces a crack tip-dominated imaging amplitude with weak crack flank representation, manifesting as a pronounced depth-dependent amplitude imbalance along vertically oriented defects. As a result, cracks may be misinterpreted as point reflectors, which compromises the reliability of characterization in ultrasonic nondestructive testing (NDT). This study proposes an ultrasonic frequency-domain reverse-time migration (FDRTM) imaging method incorporating element directivity correction. A longitudinal-wave directivity model in solids is formulated in the frequency domain and normalized at each frequency to ensure consistent scaling during multi-frequency stacking. During backward wavefield reconstruction using full matrix capture (FMC) data, the angular-dependent energy distribution associated with the receiving direction is explicitly corrected, rebalancing the angular energy distribution in the reconstructed wavefield. Defect imaging is then performed using a frequency-domain cross-correlation imaging condition, followed by stacking over frequency and normalization. Validation experiments were conducted on an artificially manufactured vertical crack in a 7075 aluminum alloy specimen. The results indicate that, relative to conventional RTM, the proposed method reduces crack tip dominance and enhances the relative visibility and continuity of crack flanks. Compared with conventional RTM, the peak imaging amplitude increases by 22.44%, and the amplitude at a depth of 6.8 mm is enhanced by 24.39%. In addition, the proposed method outperforms the total focusing method (TFM) in crack profile continuity and the relative visibility of crack flanks. The results confirm that incorporating element directivity correction into frequency-domain RTM mitigates depth-dependent amplitude imbalance and restores crack flank visibility, thereby improving the reliability of crack defect characterization in ultrasonic NDT.
Chen, Si, Zhang, Yifeng, Ma, Tengfei, Xu, Zheng, Jiang, Jiansheng, Gao, Jiaqi
Additive manufacturing (AM) processes facilitate the production of components with high geometrical complexity, presenting substantial opportunities for innovation in demanding sectors such as aerospace and biomedical engineering. A significant challenge impeding their broader application is the characteristic surface roughness of as-fabricated parts, which results from the layer-wise construction and the presence of partially melted powder particles. While electrochemical polishing (EP) represents a viable post-processing technique for achieving a smooth surface finish, a comprehensive understanding of how the non-equilibrium microstructures characteristic of AM materials interact with the EP process remains incomplete. This investigation centers on the electrochemical polishing behavior of Ti-6Al-4V alloy fabricated by direct energy deposition (DED), utilizing a sodium chloride-ethylene glycol electrolyte. The findings reveal that the material's distinct engenders anisotropic anodic dissolution. This behavior is attributed to the differential electrochemical potentials among the constituent phases and their crystallographic orientations, which consequently narrows the operational process window for effective, uniform polishing. This preferential dissolution of certain phases results in the formation of a subtle, micro-scale topographical variation that mirrors the orientation of the original columnar grain structure. Notwithstanding this microstructural influence, the EP treatment proved highly successful in refining the surface finish, substantially decreasing the average surface roughness from 0.350 μm to 0.042 μm. Concurrently, the treatment led to a significant enhancement in the alloy's corrosion resistance, attributed to an oxide layer. These findings underscore the critical necessity of accounting for microstructural characteristics when developing optimized electrochemical polishing protocols for additively manufactured components.
He, Hongxi, Wu, Chenxi, Li, Yongjun, Kang, Chengwei
This study presents the development and validation of a muddy water spray apparatus designed to simulate dust contamination on vehicle sensors for sensor cleaning system testing. It is important to have a constant and quantifiable test environment for the vehicle development process. For verifying the apparatus, muddy water, prepared by mixing standardized dust powder, salt, and water to maintain constant contamination test conditions, was sprayed onto glass specimens to evaluate equipment consistency. Deposited dust weight and thickness were measured across multiple spray cycles, with statistical analyses confirming consistent and reliable deposition. Paired t-tests indicated no significant difference between sample positions, demonstrating uniform spray distribution. The apparatus was further applied to individual infrared (IR) cameras to observe performance degradation under dry and wet contamination conditions showing statistically consistent increases in contamination levels. Application of the system in low-temperature performance testing of sensor cleaning systems on a development vehicle's rearview mirror yielded significant reductions in test time and variability compared to manual methods. These results affirm the apparatus as an effective, quantitative, and reproducible method for contamination simulation, contributing to streamlined and standardized sensor cleaning system development in the automotive industry.
Jinhyeok, Gong
In vehicle development, noise reduction is critical for ensuring passenger comfort. As electric vehicles become prevalent and engine noise is minimized, wind noise becomes more noticeable. Modulated wind noise, which causes a sense of fluctuation due to atmospheric turbulence, wind gusts, and preceding vehicle wakes, can cause significant discomfort. This noise is characterized as a high frequency sound above 1 kHz, modulated at low frequencies owing to the wind velocity and direction fluctuating at several Hz. The mechanisms behind wind noise modulation are not fully understood, and no established countermeasures have been developed. This is because wind noise perceived through the side window is primarily caused by the A-pillar vortex and door mirror wake, which coexist as complex turbulent flows around the vehicle. Therefore, identifying the source of modulated wind noise around vehicles under fluctuating wind conditions is difficult. This study aims to identify the source of the modulated wind noise and to clarify the underlying flow mechanisms. Numerical analysis (CFD) was used to simulate windy conditions, where the wind velocity and direction fluctuated at several Hz: successfully reproducing modulated wind noise around the vehicle. Using the modulation power spectrum to quantitatively evaluate the modulated wind noise, the contributions of A-pillar separation and door mirror wake to modulation power were clarified, identifying the source of the modulated wind noise around the vehicle. Additionally, vehicle shape effects were examined, such as door mirror presence and A-pillar modifications, which can suppress modulated wind noise. No significant difference in wind noise modulation power was observed with or without door mirrors, but it was found that the A-pillar shape modification contributed significantly to high frequency noise modulation power. To suppress modulated wind noise, designing an A-pillar shape that minimizes the separation flow, which intensifies owing to crosswind fluctuations, is crucial.
Tajima, Atsushi, Hirata, Takumi, Ikeda, Jun, Kamiwaki, Takahiro, Wakamatsu, Junichi, Tsubokura, Makoto
Vibration is one of the prominent factors that determine the quality & comfort level of a vehicle. Moreover, if vibration occurs in areas that are almost entirely within customer touchpoints, it could become a critical factor behind vehicle comfort and affects the brand image within the market negatively. The interior rear-view mirror (IRVM) is one of the important components inside passenger cabin, providing drivers with a clear view of the rear traffic. However, vibrations induced by engine operation, road irregularities, and aerodynamic forces can cause the IRVM to oscillate, leading to image blurriness and compromised visibility and safety. This paper investigates the underlying causes of IRVM vibration and its impact on rear visibility. Through experimental analysis we identify key factors contributing to mirror instability. The findings indicate the specific frequencies of vibration, particularly those resonating with the mirror's natural frequency, significantly exacerbating image blurriness. This paper presents the design modifications and damping solutions to mitigate these vibrations, enhancing the overall safety and driving experience. The study results provide valuable insights for automotive engineers and designers aiming to reduce IRVM vibration and enhance the driver/ passenger safety.
Khan, Aamir Naved, Saraswat, Vivek, Jha, Kartik, Singh, Hemendra, Seenivasan, Gokulram, Khan, Nafees
This paper presents a comprehensive survey and data collection study on the adaptability of Camera Monitoring Systems (CMS) for passenger vehicles. With the growing demand for enhanced safety, automation, and driver assistance technologies, Camera Monitoring Systems (CMS) has emerged as a key component in modern automotive design. This study aims to explore the current state of camera-based monitoring in passenger vehicles, focusing on their adaptability through survey data collection of various driving population and analysis. This paper evaluates the acceptance of CMS configurations in replacement to conventional rear-view mirrors through Position of Monitor, Clarity, CMS Adaptiveness to eyes, Comfort while turning, Merging into moving traffic, Monitoring Rear Traffic, while Getting Out of Car, while Overtaking, Coverage Area and Overall Acceptance. The findings offer valuable insights for manufacturers, engineers, and researchers working toward the evolution of intelligent vehicle systems.
Sinha, Ankit, Tambolkar, Sonali Ameya, Belavadi Venkataramaiah, Shamsundara, Kauffmann, Maximilian
This invention solves a significant safety issue where drivers have low visibility of the Outside Rear View Mirror (ORVM) in the case of rain, fog, dust or ice formation on the Side Door Window Glass (SDWG). Currently developed methods, such as hydrophobic finishing or films and heated window glass on the doors, provide temporary or weak results, and thus, a more successful and dependable method is demanded. In order to address this problem, we have modified the Outer Waist Seal, which includes a Glass Wiping Mechanism in it. Outer Waist Seal is a type of weather strip fixed on the bottom of the side window of a vehicle on the panel of the door. It does not allow the flow of heavy water, dust and debris into the door cavity, besides supporting the glass on the window when it is in a movement process. The stationary fixed arm of this system is coupled with a rotating arm and an attached wiper blade powered by a low-speed-high-torque motor and interfaced with the Body Control Module (BCM) of the vehicle. When activated, the rotating arm having a blade will clean or wipeout the dust, water or loose ice particles from the viewing zone or area of an ORVM on the SDWG. The design will have a fixed arm, a rotating arm with a blade, a sliding body, a variable height rib plate (VHRP), a flexible bushing, a Low Speed and High Torque (LSHT) Motor, a base plate, housing which will be attached to the door waist reinforcement panel using fasteners. This system is also successful in eliminating the water droplets, dust, and ice that result in an excellent and consistent visibility of the ORVM in different environments. This promotes confidence in the driver as well as his safety and comfort, and can be used both in passenger and commercial vehicles. The solution is a compact, efficient and robust way of introducing massive change to vehicle safety and drivability and is flexible to accommodate future technologies such as automatic activation when the rain is detected through the sensors, etc.
Neelam, Rajat, Chowdhury, Ashok, Panchal, Girish, Kumar, Saurav
Existing ICE Mid and Heavy commercial vehicles in the Indian and international market are recording a large number of mishaps due to blind spots and non-accessibility of the driver to the opposite side mirror in real-time driving. Non-driver side rear view mirror adjustment creates the need for the driver to get down and adjust the mirror manually/get support from the co-passenger. The paper proposes a solution for a Microcontroller-based compact mirror adjustment system, which will run with minimal economy and highest efficiency. This will assist drivers in aesthetically and safely monitoring of mirror to check on specific blind spots in day conditions This will reduce the prone accidents due to non-visibility by approximately 30%, ensuring enhanced road safety and driver comfort. The Indian commercial vehicle segment needs this solution to be implemented when we look at the rate of increasing demand and also accident rates.
Jambagi, Vaibhavi Vyankatesh, Gangvekar, Onkar, Bhandari, Kiran Kamlakar
This paper presents a bidirectional digital twin developed for the Fischertechnik Smart Factory Kit, enabling real-time simulation and validation of production line modifications prior to actual deployment. The digital twin integrates with a Siemens Programmable Logic Controller (PLC) to mirror real-world operations, capturing live production data and visualizing key factory parameters, such as product, process, and resource metrics within a 3D environment. Engineers can test various optimization scenarios by adjusting robot speed and path, conveyor speeds, part & process sequences, and modifying equipment layout sizes to enhance efficiency. Based on the optimization scenarios, the best-performing configurations are identified using metrics such as throughput, cycle time, and resource utilization. Once validated, these changes are directly deployed to the PLC, ensuring seamless implementation. Beyond capacity optimization, this solution enhances overall production efficiency by minimizing idle time and parts waiting time, balancing workloads, and reducing unplanned disruptions. Additionally, by virtually simulating product variations and process changes, the digital twin helps identify design simplifications, reduce product complexity, and streamline manufacturing workflows. A digital twin of the manufacturing system serves as an integrated solution, unifying capabilities such as predictive maintenance, efficiency monitoring, simulation, and analytics in real time. By bridging technology gaps and offering a comprehensive view of the entire production process, it enhances decision-making, maximizes resource utilization, and facilitates seamless technology adoption across the factory. This approach significantly reduces downtime, accelerates response times, and boosts automation, demonstrating the transformative potential of digital twins in optimizing manufacturing operations [1].
Kumar, Rahul, Singh, Randhir
Vehicle door-related accidents, especially in urban environments, pose a significant safety risk to pedestrians, infrastructure and vehicle occupants. Conventional rear view systems fails to detect obstacles in blind spots directly below the Outside Rear View Mirror (ORVM), leading to unintended collisions during door opening. This paper presents a novel vision-based obstacle detection system integrated into the ORVM assembly. It utilizes the monocular camera and a projection-based reference image technique. The system captures real-time images of the ground surface near the door and compares them with calibrated reference projections to detect deviations caused by obstacles such as pavements, potholes or curbs. Once such an obstacle is detected the vehicle user is alerted in the form of a chime.
Bhuyan, Anurag, Khandekar, Dhiraj, Jahagirdar, Shweta
Railway is a key component driving innovation and sustainability in transportation systems. Aiming at solving the problems of metal reflection, oil contamination and complex background interference in railway wheel tread defect detection, this paper will focus on the railway wheel tread defect detection method, SEN-YOLO, based on the YOLOv5s and the comparison between different generations of YOLO detection. To better adapt the model to actual detection scenarios, multi-stage dynamic data augmentation strategy combining illumination robustness optimization and motion blur simulation is designed to construct a railway wheel dataset that closely mirrors real-world conditions. In terms of model architecture, the YOLOv5s-based approach integrates the Squeeze-and-Excitation Networks (SENets) module to enhance the capture of minor defect features and employs an adaptive feature fusion strategy to mitigate background noise. To further improve detection accuracy and generalization, the YOLOv5s network structure is optimized. A multi-scale feature fusion algorithm in the backbone network improves processing of different scale defect features; Additionally, the feature enhancement module is depoyed in the neck network boosts feature expression and the ability to distinguish; Furthermore, an adaptive loss function in the head network balances detection effects. Trained on the open-source railway wheel tread defect dataset from Roboflow and tested, SEN-YOLO achieves 84.1% mAP on the custom dataset and a detection speed of 35 FPS on an RTX3070 GPU, a 12% improvement over the baseline YOLOv5s model. Comparative experiments with other mainstream object detection algorithms show that SEN-YOLO performs well with high detection accuracy and stability, meeting the practical needs of railway wheel tread defect detection.
You, Lijie, Mo, Yayelin, Tu, Jingjie, Zhou, Hang
Stoneridge displayed its vision for the future of commercial vehicle technology on the SAE COMVEC 2025 exhibit floor. The Innovation Truck showcases the Tier 1 supplier's next-generation vision and driver-assistance technologies designed to enhance driver safety and fleet optimization. Mario Gafencu, product design and evaluation specialist at Stoneridge, gave Truck & Off-Highway Engineering a tech truck walkaround at the event. The first technology Gafencu detailed was the second-generation MirrorEye camera monitor system that's designed to replace the glass mirrors on the sides of a truck.
Gehm, Ryan
In the race toward practical quantum computers and networks, photons — fundamental particles of light — hold intriguing possibilities as fast carriers of information at room temperature. Photons are typically controlled and coaxed into quantum states via waveguides on extended microchips, or through bulky devices built from lenses, mirrors, and beam splitters. The photons become entangled — enabling them to encode and process quantum information in parallel — through complex networks of these optical components. But such systems are notoriously difficult to scale up due to the large numbers and imperfections of parts required to do any meaningful computation or networking.
Efficient clearing of frost formed on automotive side window glass during cold conditions is crucial for maintaining visibility and ensuring passenger safety. Conventional systems often employ dedicated side demisters, which increase system complexity, production costs and vehicle weight. This study explores an alternative approach to defrosting side window glass by optimizing airflow from the defroster, thus eliminating the need for separate side demisters. The Study leverages optimized airflow dynamics and strategic design of defroster to direct a portion of the air towards the side glass. Computational Fluid Dynamics (CFD) simulations and actual Tests to analyze the airflow patterns, temperature gradients, and defrosting efficiency of this configuration. Results indicate that the front defroster airflow can effectively clear frost from the side windows, achieving comparable performance to conventional side demisters. Key design parameters, including defroster geometry and airflow velocity, were optimized to ensure efficient coverage of the side glass surface. The absence of dedicated side demisters reduces the overall HVAC (Heating, Ventilation, and Air Conditioning) system complexity, resulting in less costs. Furthermore, the streamlined design contributes to improved cabin aesthetics. This approach offers a practical and sustainable solution for automotive manufacturers seeking to balance functionality, efficiency, and cost-effectiveness. This paper details the methodology, design considerations, and performance evaluation of side glass defrosting using the front defroster system. The findings highlight the potential of this innovative approach to redefine current HVAC system designs, providing a safer and more cost-efficient alternative for modern vehicles.
Kushwaha, Mayank, Bhangale, Shekhar, Mittal, Sachin, Kumar, Mukesh, Umbarkar, Shriganesh
A new bioimaging device can operate with significantly lower power and in an entirely non-mechanical way. It could one day improve detecting eye and even heart conditions. The device uses a process called electrowetting to change the surface shape of a liquid to perform optical functions. By creating a device that doesn’t use scanning mirrors, the technique requires less electrical power than other devices used for OCT and bioimaging. To test the device’s ability to perform biomedical imaging, the researchers turned to zebrafish. The researchers focused on identifying where the cornea, iris, and retina was from the zebrafish. The two benchmarks that the group hoped to achieve were 10 μm in axial resolution and then around 5 μm in lateral resolution.
In the race toward practical quantum computers and networks, photons — fundamental particles of light — hold intriguing possibilities as fast carriers of information at room temperature. Photons are typically controlled and coaxed into quantum states via waveguides on extended microchips, or through bulky devices built from lenses, mirrors, and beam splitters. The photons become entangled – enabling them to encode and process quantum information in parallel – through complex networks of these optical components. But such systems are notoriously difficult to scale up due to the large numbers and imperfections of parts required to do any meaningful computation or networking.
The transportation and mobility industry trend toward electrification is rapidly evolving and in this specific scenario, wind noise aeroacoustics becomes one of the major concerns for OEMs, as new propulsion systems are notably quieter than traditional ones. There is, however, very limited references available in the literature regarding validation of computational fluid dynamics (CFD) simulations applied to the prediction of aeroacoustics contribution to the noise generated by large commercial trucks. Thus, in this work, high-fidelity CFD simulations are performed using lattice Boltzmann method (LBM), which uses very large eddy simulation (VLES) turbulence model and compared to on-road physical tests of a heavy-duty truck to validate the approach. Furthermore, the effect of realistic wind conditions is also analyzed. Two different truck configurations are considered: one with side mirror (Case A) and the other without (Case B) side mirrors. The main focus of this work is to assess the accuracy of the commercial CFD software PowerFLOW® to predict greenhouse wind noise analysis for heavy vehicles as a tool to complement or replace physical testing during the vehicle design process. From this study, we found that external microphone measurements at the passenger-side glass demonstrate strong correlation with simulation results, highlighting the importance of including a typical level of on-road free-stream turbulence to achieve accurate sound pressure level (SPL) correlations for the full frequency range available from the physical test (i.e., 100 Hz to 2000 Hz) for both configurations.
Guleria, Abhishek, Novacek, Justin, Ihi, Rafael, Fougere, Nicolas, Dasarathan, Devaraj
Sound source identification based on beamforming is widely used today as a spatial sound field visualization technology in wind tunnel experiments for vehicle development. However, the conventional beamforming technique has its inherent limitation, such as bad spatial resolution at the low frequency range, and limited system dynamic range. To improve the performance, three deconvolution methods CLEAN, CLEAN-SC and DAMAS were investigated and applied to identify wind noise sources on a production car in this paper. After analysis of vehicle exterior wind noise sources distribution, correlation analysis between identified exterior noise sources and interior noise were conducted to study their energy contribution to vehicle interior. The results show that the algorithm CLEAN-SC based on spatial source coherence shows the best capability to remove the sidelobes for the uncorrelated wind noise sources, while CLEAN and DAMAS, which are based on point spread functions have definite limitations. Considering the testing car, the main noise source of exterior is from the wheelhouse region, then follows the rearview mirror with much lower sound energy. However, noise from the mirror contributes most to the vehicle interior, while the contribution from wheelhouse region ranks the second place. In addition, windshield wipers and door handle can do perceptible contributions to vehicle interior noise at some characteristic frequency bands.
He, Yinzhi, Shen, Henghao, Wu, Yu, Zhang, Lijun, Yang, Zhigang, Blumrich, Reinhard, Wiedemann, Jochen
For years the NVH community has known that openings in the dash sheet metal, such as holes to pass wire harnesses through, creates an acoustical weak point that limits the potential noise reduction of the dash insulation system. These pass-throughs can also be a source of water leaks into the vehicle’s interior. With internal combustion engines and now electric inverter power plants generating significant high frequency sound, the need to seal this area is vital. By molding a lightweight barrier that draws through the fiber/absorber interior decoupler and dash sheet metal which mates to a secondary seal molded into an outer engine dash decoupler, the two opposing molded barriers meet in the engine compartment and compress together forming a seal around the wire harness. This male/female molded seal replaces the conventional snap in grommet and eliminates noise/water leaks. The system Sound Transmission Loss (STL) is equivalent to similarly insulated sheet metal with no holes, increasing sound intelligibility/articulation index in the automotive interior, leading to new levels of occupant comfort and ease of communication. This technology can also be used anywhere in the vehicle where a hole is created in sheet metal and a wire is passed through it (e.g. electric side view mirrors).
Check, James, Moritz, Charles
Machining metal has its challenges as many shops will attest, but machining glass is another matter – one that Dan Bukaty Jr., President of Precision Glass & Optics (PG&O) is well schooled in. Mr. Bukaty and his 35-person shop manufacture high-end precision glass optics for customers such as IMAX, Intuitive Surgical, Boeing and NASA, to name a few. The products PG&O make can range from the ordinary to the extraterrestrial, such as mirrors that it fabricated for the Hobby–Eberly Telescope to measure dark energy in outer space.
Camera-based mirror systems (CBMS) are being adopted by commercial fleets based on the potential improvements to operational efficiency through improved aerodynamics, resulting in better fuel economy, improved maneuverability, and the potential improvement for overall safety. Until CBMS are widely adopted it will be expected that drivers will be required to adapt to both conventional glass mirrors and CBMS which could have potential impact on the safety and performance of the driver when moving between vehicles with and without CBMS. To understand the potential impact to driver perception and safety, along with other human factors related to CBMS, laboratory testing was performed to understand the impact of CBMS and conventional glass mirrors. Drivers were subjected to various, nominal driving scenarios using a truck equipped with conventional glass mirrors, CBMS, and both glass mirrors and CBMS, to observe the differences in metrics such as head and eye movement, reaction time, and perception of distance. The finds from this study will serve as the baseline measurements for future research regarding off-nominal driving scenarios and hardware failures of CBMS, as well as inform potential future policy regarding CBMS for the use in commercial vehicles in lieu of conventional glass mirrors.
Siekmann, Adam, Prikhodko, Vitaly, Sujan, Vivek
This research explores the use of salt gradient solar ponds (SGSPs) as an environmentally friendly and efficient method for thermal energy storage. The study focuses on the design, construction, and performance evaluation of SGSP systems integrated with reflectors, comparing their effectiveness against conventional SGSP setups without reflectors. Both experimental and numerical methods are employed to thoroughly assess the thermal behavior and energy efficiency of these systems. The findings reveal that the SGSP with reflectors (SGSP-R) achieves significantly higher temperatures across all three zones—Upper Convective Zone (UCZ), Non-Convective Zone (NCZ), and Lower Convective Zone (LCZ)—with recorded temperatures of 40.56°C, 54.2°C, and 63.1°C, respectively. These values represent an increase of 6.33%, 11.12%, and 14.26% over the temperatures observed in the conventional SGSP (SGSP-C). Furthermore, the energy efficiency improvements in the UCZ, NCZ, and LCZ for the SGSP-R are considerable, showing increases of 39.18%, 35.46%, and 39.64%, respectively, when compared to the SGSP-C. The numerical simulations are in strong agreement with the experimental results, exhibiting minimal deviations of less than 5% in both temperature distribution and energy efficiency across all zones. This study underscores the potential of SGSPs with reflectors for enhanced thermal storage performance.
J, Vinoth Kumar
Indirect vision is a crucial function of an automotive vehicle for providing rear visibility and hence decreasing blind spots. Presently, conventional mirrors are used for indirect vision. However, camera-monitor systems (CMS) can be used on vehicles to display the driver’s rearview on a monitor mounted inside the vehicle. Present European regulations as well as Indian standards offer the possibility of replacing conventional mirrors with suitable CMS and thereby implementing new design concepts with aerodynamic advantages. As mirrors are a critical safety component for securing the driver’s indirect rear vision, the question arises whether CMS can provide an equivalent substitute for mirrors, and this is more important and critical in Indian scenarios. In the scope of this research, CMS and conventional mirrors are compared for the field of vision as per the national and international standards and assessed the acceptance of test drives (data collection) and static and dynamic tests under different external Indian road & traffic conditions. The examination of technical aspects for comparison of these two systems is prepared and presented.
Sinha, Ankit, Belavadi Venkataramaiah, Shamsundara, Tambolkar, Sonali Ameya, Kauffmann, Maximilian
Researchers at the Max Planck Institute for Extraterrestrial Physics have developed a new way to produce and shape large, high-quality mirrors that are much thinner than conventional space-telescope mirrors. The final product is even flexible enough to be rolled up and stored compactly inside a launch vehicle.
The global market for automotive LIDAR is expected to grow from $332 million in 2022 to more than $4.5 billion by 2028. That’s solid market growth, particularly given the decades-old challenges of commercializing LIDAR that would be affordable for automotive designs. We interviewed Eric Aguilar, co-founder and CEO of Omnitron Sensors, Los Angeles, CA, to learn about a new MEMS scanning mirror that could accelerate the market adoption of LIDAR.
On a cold, sunny day, you’re driving on a rural road, surrounded by snow-covered fields. In an instant, your eyes process the scene, picking out individual objects to focus on — a stop sign, a barn — while the rest of the scene blurs in the periphery. Your brain stores the focused and blurred images as a memory that can be pictured in your mind later, while sitting at your desk.
Understanding left-turn vehicle-pedestrian accident mechanisms is critical for developing accident-prevention systems. This study aims to clarify the features of driver behavior focusing on drivers’ gaze, vehicle speed, and time to collision (TTC) during left turns at intersections on left-hand traffic roads. Herein, experiments with a sedan and light-duty truck (< 7.5 tons GVW) are conducted under four conditions: no pedestrian dummy (No-P), near-side pedestrian dummy (Near-P), far-side pedestrian dummy (Far-P) and near-and-far side pedestrian dummies (NF-P). For NF-P, sedans have a significantly shorter gaze time for left-side mirrors compared with light-duty trucks. The light-duty truck’s average speed at the initial line to the intersection (L1) and pedestrian crossing line (L0) is significantly lower than the sedan’s under No-P, Near-P, and NF-P conditions, without any significant difference between any two conditions. The TTC for sedans is significantly shorter than that for trucks with near-side pedestrians (Near-P and NF-P) and far-side pedestrians in Far-P. These insights can contribute to the ongoing development of accident-prevention safety systems for left-turning maneuvers at intersections.
Matsui, Yasuhiro, Narita, Masashi, Oikawa, Shoko
In vehicle development, reducing noise is a major concern to ensure passenger comfort. As electric vehicles become more common and engine and vibration noises improve, the aerodynamic noise generated around the vehicle becomes relatively more noticeable. In particular, the fluctuating wind noise, which is affected by turbulence in the atmosphere, gusts of wind, and wake caused by the vehicle in front, can make passengers feel uncomfortable. However, the cause of the fluctuating wind noise has not been fully understood, and a solution has not yet been found. The reason for this is that fluctuating wind noise cannot be quantitatively evaluated using common noise evaluation methods such as FFT and STFT. In addition, previous studies have relied on road tests, which do not provide reproducible conditions due to changing atmospheric conditions. To address this issue, automobile manufacturers are developing devices to generate turbulence in wind tunnels. However, in wind tunnels, it is difficult to reproduce the large length-scale fluctuations of natural winds, and it could not sufficiently simulate the road conditions. In this study, we simulated the fluctuating wind that vehicles experience on the road and verified the fluctuating aerodynamic noise. We first reproduced wind noise under steady flow conditions and confirmed that the pressure fluctuation measured on the side window matched well with wind tunnel results up to 2 kHz. Furthermore, it was confirmed that using modulation power spectrum analysis, it is possible to quantitatively evaluate the fluctuating wind noise compared with FFT and STFT. From these results, we found that fluctuating wind noise is an acoustic phenomenon in which the aerodynamic noise generated around the vehicle is amplitude-modulated by fluctuations in the mainstream velocity. The technical challenge is to understand the separation flow around the A-pillar and side mirror, which generates fluctuating wind noise.
Tajima, Atsushi, Ikeda, Jun, Nakasato, Kosuke, Kamiwaki, Takahiro, Wakamatsu, Junichi, Oshima, Munehiko, Li, ChungGang, Tsubokura, Makoto
Autonomous vehicles or self-driving cars and semi-autonomous cars provide numerous driving assistance to the driver and passengers. However, with the advancements in driving technology the driver’s experiences and preferences are also taken into consideration for achieving the advanced safety goals. The drivers’ comfort and experiences are considered with the design and development of modern-day vehicles makes the driver’s preferences crucial for providing the driving experience. During the process of driving, the experience received by the driver is associated with the functional safety of the automotive system and hence the experience should be smooth with respect to safety. In this regard, the personalization in the space of the driver assistance system is gaining importance in analysing the driver’s behaviors and providing personal driving experiences to the driver. From the driver’s perspective the driving environment, the driving patterns of the different drivers, road conditions, etc. changes constantly. And hence, instead of providing a static driving experience to the driver through the usage of advanced driver assistance systems, an addition of personalized driving experiences to the driver assistance system makes the driving experience smooth. One of the critical driver assistance systems is the E-mirror, which is a camera-based system to replace the rear view, and side view mirrors of the vehicle by providing a smart experience to the driver. The E-mirror personalization is achieved by recommending the driver his preferred E-mirror control settings over his previous usage history. So, here an E-mirror recommendation system is proposed, which provides user-consent based recommendations to the driver to enhance the driving experience. The personalized smart E-Mirror provides personalized experiences to the users based on their previous user settings and mirror preferences. This reduces the need for constant or periodic change in the E-mirror adjustments for every user or every usage of the user. The personalized system observes the user activity over a prolonged period of time in using the E-mirror across the different driving styles, driving environments, climate conditions for all the users and collects a driver behavioral data in using the e-mirror through his settings and preferences. The personal experience of the user is achieved by recommending to the user about the e-mirror settings over a pre-defined recommendation criterion. The proposed E-mirror recommendation system receives numerous vehicular, non-vehicular and driver’s activity parameters in modelling the users’ behaviors through a deep learning recommendation algorithm. The collected user activity data for the E-mirror preferences are observed and the model is trained on on-device for providing the E-mirror setting recommendations to the driver upon receiving the user-consent. Hence, the personalized e-mirror recommendation system automatically controls the E-mirror camera settings after receiving the recommendations and also after getting user consent for the same.
Ansari, Asadullah, P.C., Karthik, D H, Sharath, Sikander, Saheel, Chidambaram, Vivke
ADAS (Advanced Driver Assistance Systems) is a growing technology in automotive industry, intended to provide safety and comfort to the passengers with the help of variety of sensors like radar, camera, LIDAR etc. Though ADAS improved safety of passengers comparing to conventional non-ADAS vehicles, still it has some grey areas for safety enhancement and easy assistance to drivers. BSW (Blind Spot Warning) and LCA (Lane Change Assist) are ADAS function which assists the driver for lane changing. BSW alerts the driver about the vehicles which are in blind zone in adjacent lanes and LCA alerts the driver about approaching vehicles at a high velocity in adjacent lanes. In current ADAS systems, BSW and LCA alerts are given as optical and acoustic warnings which is placed in vehicle side mirrors. During lane change the driver must see the side mirrors to take a decision. Due to this, there is a reaction time for taking a decision since driver must divert attention from windshield to side mirrors and back to windshield & this reaction time can be one of the causes of accident in many cases. So, there is a scope to improve safety by eliminating this driver reaction time. This paper presents an idea about using heads-up display for BSW and LCA warnings to eliminate this driver reaction time. The Head-Up Display (HUD) gives warning information in the windshield itself instead of side mirrors in the existing system so the driver need not to look at side mirrors during lane change. This driver interface feature can be implemented to other ADAS function warnings also to enhance the safety performance. This paper also covers ADAS vehicle and HUD mounting architecture along with different types of HUD’s information.
R, Manjunath, Saddaladinne, Jagadeesh Babu, D, Gopinath
The design and location of rear-viewing mirrors or systems, and the presentation of the rear view to the driver can best be achieved if the designer and the engineer have adequate references available on the physiological functions of head and eye movements and on the perceptual capabilities of the human visual system. The following information and charts are provided for this purpose. For more complete information of the relationship of vision to forward vision, see SAE SP-279.
Driver Vision Standards Committee
This SAE Recommended Practice describes methods for determining total and specular reflectance for mirrors with flat and curved surfaces and a method for determining diffuse reflectance and haze for mirrors with flat surfaces.
Driver Vision Standards Committee
The improvement of vehicle soiling behavior has increasing interest over the past few years not only to satisfy customer requirements and ensure a good visibility of the surrounding traffic but also for autonomous vehicles, for which soiling investigation and improvement are even more important due to the demands of the cleanliness and induced functionality of the corresponding sensors. The main task is the improvement of the soiling behavior, i.e., reduction or even prevention of soiling of specific surfaces, for example, windows, mirrors, and sensors. This is mostly done in late stages of vehicle development and performed by experiments, e.g., wind tunnel tests, which are supplemented by simulation at an early development stage. Among other sources, the foreign soiling on the side mirror and the side window depend on the droplet detaching from the side mirror housing. That is why a good understanding of the droplet formation process and the resulting droplet diameters behind the side mirror is necessary, including all the possible influencing factors. A first fundamental study was already investigated by the authors at a vehicle side mirror using a modified wind tunnel soiling test rig [1]. In the current study, a generic plate with a defined edge for droplet detachment is placed inside the open jet of a calibration wind tunnel. The aim of the investigation is to test different parameters of the detachment process and to analyze the resulting droplet sizes behind the generic edge. Parameters such as the radius of the detachment edge, the liquid, and the volumetric flow rate are varied and their influence on the atomization as well as soiling processes is analyzed using shadowgraphy measuring technique and high-speed video recording. Our results show that the droplet detachment behind a generic plate can be divided into two separate topics: the detachment position and the detachment process. The detachment position is dependent on the air velocity and the edge radius. With an increased radius and an increased velocity, the water can stay longer wall-bound and detach further downstream. The detachment process at the edge shows two different ligament formation processes independent of the air velocity: ligament formation and ligament-bag formation. A secondary breakup process may occur for droplets in the air, where four different processes are observed, covering vibration breakup, bag breakup, bag-and-stamen breakup, and sheet thinning. In all tested variations, most of the droplets show a diameter of about 65 μm.
Kille, Lukas, Strohbücker, Veith, Niesner, Reinhold, Sommer, Oliver, Wozniak, Günter
Optical parametric oscillator (OPO) lasers test optical fibers and components to characterize the spectral response of optical components. OPO lasers are common in sophisticated test and measurement applications such as mass spectrometry, photoacoustic imaging, and spectroscopy. Now, these tunable pulsed lasers are being used to facilitate a range of tests at different wavelengths to qualify and quantify the performance of optical components such as fiber optic strands, filters, lenses, and coated mirrors.
The James Webb Space Telescope’s stunning images showing previously unseen corners of the universe are possible because of the telescope’s 21-foot segmented mirror that had to unfurl on its own after launch and assemble itself in space.
The broadband aeroacoustics of a side mirror is investigated with a stochastic noise source method and compared to scale-resolving simulations. The setup based on an already existing work includes two geometrical variants with a plain series side mirror and a modified mirror with a forward-facing step mounted on the inner side. The aeroacoustic near- and farfield is computed by a hydrodynamic–acoustic splitting approach by means of a perturbed convective wave equation. Aeroacoustic source terms are computed by the Fast Random Particle-Mesh method, a stochastic noise source method modeling velocity fluctuations in time domain based on time-averaged turbulence statistics. Three RANS models are used to provide input data for the Fast Random Particle-Mesh method with fundamental differences in local flow phenomena. Results of aeroacoustics simulations excited by the Fast Random Particle-Mesh method based on well-matching RANS data are in good agreement to the scale-resolving simulations in the integral acoustic Delta on the side window induced by the different side mirror geometries. For relative levels in between the variations, the robustness of the Fast Random Particle-Mesh method can be shown with secondary influences on the choice of the integral length scale. Absolute levels are only achieved with an adaptation of the length scale from literature. Two different RANS models with a missing separation bubble on the mirror or an overestimated wake flow show a good agreement with the plain series side mirror. However, they fail at computing the Delta to the step variant due to the missing amplification of the local turbulent kinetic energy interacting with the step and downstream mirror surfaces. Computational aeroacoustics simulations excited by the Fast Random Particle-Mesh method method based on RANS data only needs 14% of the computational effort compared to the conventional hybrid RANS-LES approach. This reveals its enormous potential for aeroacoustic broadband noise optimization purposes.
Uhl, Philipp, Schell, Alexander, Ewert, Roland, Delfs, Jan
Light detection and ranging (LiDAR) provides the type of velocity data about objects and vehicles that are necessary to enable the type of decision-making necessary for navigation systems in autonomous vehicles. However, most LiDAR sensors that have been used in automotive and other mobility applications have been fragile, expensive and unreliable.
Enriched ventilation and driver assistance systems which plays vital role in human thermal comfort and safety, are now necessities for the whole automotive sector. For faster cabin thermal comfort, air circulation around occupant’s body reveals higher cabin comfort index. In India natural and forced ventilation system is predominantly used in commercial vehicles as an economical solution for achieving interim cabin comfort over air conditioning system. Presently used forced ventilation system consist of electrically driven blower motor to remove stale air around human body which is adding alternator load and thus affects fuel economy. Remarkably, 22% of such auxiliary electrical load is taken by electrical components from engine generated power. In order to enhance cabin thermal comfort and conceivably reduce power usage, an effective air flow control system is need of hour. In the proposed new technology, the ORVM (Outside Rear View Mirror) based air cooling technique is used for cooling ambient air. The concept demonstrates the use of air against vehicle speed is directed through ORVM causing air cooling using direct evaporative cooling techniques. The cooled air is then passed to cabin for occupant's comfort. The concept is validated using virtual analysis tools for air flow analysis and air temperature drop at various vehicle speeds. The prototype model is prepared and tested by running vehicle on highway. The experimental analysis shows a temperature drop between 4.5 °C to 8°C over ambient air temperature and vehicle speed. The concept is also evaluated for drag forces to analyze effect of change in ORVM area on fuel economy. The extreme features of cooling the outside hot ambient air using matured cooling technology and dust filtering inside ORVM casing makes idea innovative and easily adoptable.
Shalgar, Sandeep Subhash, Sorte, Swapnil, Nagarhalli, Prasanna V
This paper reports high-speed (10 kHz and 100 kHz) 2-D Raman/Rayleigh measurements of a hydrogen (H2) jet issued from a Bosch HDEV4 hollow-cone piezo injector in a high-volume constant pressure vessel. During the experiments, a Pa = 10 bar ambient environment with pure nitrogen (N2) is created in the chamber at T = 298 K, and pure H2 is injected vertically with an injection pressure of Pi = 51 bar. To accommodate the transient nature of the injections, a kHz-rate burst-mode laser system with second harmonic output at λ = 532 nm and high-speed CMOS cameras are employed. By sequentially separating the scattered light using dichroic mirrors and bandpass filters, both elastic Rayleigh (λ = 532 nm) and inelastic N2 (λ = 607 nm) and H2 (λ = 683 nm) Raman signals are recorded on individual cameras. With the help of the wavelet denoising algorithm, the detection limit of 2-D Raman imaging is greatly expanded. The H2 mole fraction distribution is then derived directly from scattering signals at 10 kHz for Raman and 100 kHz for Rayleigh, with a spatial resolution of approximately 200 μm (5.0 lp/mm). The current work successfully demonstrates the feasibility of high-speed 2-D Raman and Rayleigh imaging in gaseous fuel injection and the experimental technique could potentially contribute to the design of next-generation high-pressure, high-flowrate H2 injectors.
Wu, Bin, Sharma, Priybrat, Yu, Tao, Palombi, Lucia, Wu, Hao, Ben Houidi, Moez, Panthi, Niraj, Roberts, William, Magnotti, Gaetano
Numerical methodologies for aeroacoustic analyses are increasingly crucial for car manufacturers to optimize the effectiveness of vehicle development. In the present work, a hybrid numerical tool based on the combination of a delayed detached-eddy simulation and a finite element model, which relies on the Lighthill’s acoustic analogy and the acoustic perturbation equations, is presented. The computational aeroacoustics is performed by the software OpenFOAM and Actran, concerning respectively the CFD and the FEM. The aeroacoustic behavior of the SUV Lamborghini Urus at a cruising speed of 140 km/h has been investigated. The main aerodynamic noise phenomena occurring in the side mirror region in a frequency range up to 5 kHz are discussed. The numerical simulations have been verified against the measurements performed in the aeroacoustic wind tunnel of the University of Stuttgart, operated by FKFS. The predicted exterior noise propagation into the far field has been validated by comparing the sound pressure level with the experimental data measured by exterior microphones, which were located outside the turbulent region beside the wake of the side mirror. Furthermore, the noise transmission into the cabin through the side window has been modeled. Simulation results have been validated by means of interior microphones installed on the driver seat. Both the exterior and the interior noise predictions show very good correlations with experiments. Lastly, a comprehensive investigation of the most critical aeroacoustic sources has been carried out. The numerical tool has been proven to be in good accordance with the microphone array with respect to the distribution of the sound pressure level in the proximity of the side mirror. Besides, the main vortex structures involved in the generation mechanisms of wind noise have been investigated by a CFD analysis. The entire CAA process has been proven to be accurate and suitable for combined analysis between the generation mechanisms of wind noise and the resulting transfer into the interior cabin to the driver’s ear as well.
Perugini, Carlo Alberto, Riccio, Ugo, Torluccio, Antonio, Mohr, Rouven, Blumrich, Reinhard, Wagner, Andreas
Thermal control coatings, i.e. coatings with different visible versus infrared emission, have been used by NASA on the Orbiter and Hubble Telescope to reflect sunlight, while allowing heat rejection via infrared emission. However, these coatings absorb at least 6 percent of the Sun’s irradiant power, limiting the minimum temperature that can be reached to about 200 K. NASA needs better solar reflectors to keep cryogenic fuel and oxidizers cold enough to be maintained passively in deep space for future missions.
With this paper the author first of all wants to honor the memory of Professor Alberto Morelli with whom he had the privilege of working for many years at the Politecnico di Torino. Morelli radically changed the way of designing car body shapes, while bringing the aspect of reducing the aerodynamic resistance of a vehicle to the attention of car designers. Morelli’s research activity began in the early 1950s and, between the 1950s and 1960s, he designed and built a number of car prototypes, whose coefficient of aerodynamic resistance was substantially reduced compared to that of the cars of that time, sometimes resorting to revolutionary architectures such as a “diamond” arrangement of the wheels. A fundamental step of Morelli's research in the field of vehicle aerodynamics was the Pininfarina full-scale wind tunnel project, which was set up between the end of the 1960s and the beginning of the 1970s, and was inaugurated in 1972: fifty years have therefore passed since that occasion. An impressive result, obtained in the second half of the 1970s, was the maquette of the Pininfarina-CNR car, which had front air intakes, internal flows as well as other external details, such as rear-view mirrors: in this case, the Cx value was 0.20. His activity continued with significant results in the field of car aerodynamics, in particular concerning the interaction between the wakes of the car and of the wheels.
Nuccio, Patrizio
A gigantic furnace slowly started spinning underneath the stands of Arizona Stadium at the University of Arizona in March 2021. Fire-engine red, massive in size and resembling a sci-fi version of a Dutch oven, the furnace is the only one of its kind, and its sole purpose is to produce the world’s biggest and most advanced telescope mirrors.
The investigation of vehicle soiling by improvement of vehicle parts to optimize the surrounding airflow is of great importance not only because of the visibility through windows and at mirrors but also the functionality of different types of sensors (camera, lidar, radars, etc.) for the driver assistance systems and especially for autonomous driving vehicles has to be guaranteed. These investigations and corresponding developments ideally take place in the early vehicle development process since later changes are difficult to apply in the vehicle production process for many reasons. Vehicle soiling is divided into foreign soiling and self-soiling with respect to the source of the soiling water, e.g., direct rain impact, swirled (dirty) water of other road users and own rotating wheels. The investigations of the soiling behavior of vehicles were performed experimentally in a wind tunnel and street tests. The investigations of self-soiling are assisted numerically by computational fluid dynamics (CFD) simulations at the early development stage. An investigation of droplet formation behind a side mirror was done with a generic side mirror. These information are important for the simulation of the side window and side mirror soiling to speed up the simulation process and to validate the simulation results. A full-size car was examined in a wind tunnel to achieve an extensive understanding of the processes of droplet formation behind a side mirror. The identification of droplet breakup and detachment processes and the measurement of the resulting droplet sizes are the main goals of these studies. The corresponding experimental measurements of droplet velocity and size were carried out by using high-speed cameras and a shadowgraphy measuring technique. A detailed insight into the physical processes of droplet detachment and breakup behind the side mirror on a complete vehicle is shown, which can be used in the future for the development of soiling countermeasures but especially for the validation and comparison of complex three-dimensional (3D) soiling simulations. The droplet detachment process can be divided into the position and the physical process. The detachment position is velocity dependent. At higher air velocities, the detachment position shifts outwards toward the edge of the mirror housing. Different physical processes can be observed for the different air velocities. At the lower velocity of 80 km/h, a ligament formation process can be observed, which changes to a sheet formation (laminar and later turbulent) with increasing air velocity. The type of secondary breakup processes occurring is independent of the air velocity. In addition, droplet sizes were measured, and the distributions show two main peaks at 35 μm and 55 μm independent of the airstream velocity, which could be attributed to the break-off process and secondary decay.
Kille, Lukas, Strohbücker, Veith, Niesner, Reinhold, Sommer, Oliver, Wozniak, Günter
Position estimation of the surrounding objects seen by the sensors mounted on an autonomous vehicle is a key module and it is typically carried out with the camera-lidar fusion owing to the high accuracy in depth estimation from lidar point cloud. In typical automotive LIDAR with 64 scanner points or less, at distances above 100 m, the object detection with LIDAR is not dependable as the number of LIDAR clusters will be sparse, while the high-resolution camera can offer better detection even at the distances above 100 m. Calculation of the position can be best achieved if there is a reliable means to get the corresponding LIDAR points for the detection in camera. To address this, we are proposing a novel a grid-based approach, in which a grid is created in the point cloud by calculating object’s position derived from camera detections. The correspondence between Camera pixels and LIDAR point cloud tends to suffer when the object of interest is occluded (eg.by other vehicles, guard rails, poles) or when there are false detections from the camera object detection module (eg. due to mirror reflections). Our proposed approach is a novel grid-based approach based on fusion of camera object detection and panoptic segmentation, which is then associated with lidar point cloud data and lidar object detections for accurate distance estimation. We take into consideration the occlusion level of the camera detected objects with the help of panoptic segmentation of the image frames and only the lidar points corresponding to the actual visible points of the object is used further for fusion and distance estimation. The panoptic segmentation provides both instance and semantic segmentation and helps in identifying the visible points during an occlusion of similar class of objects. This approach helped in removing the lidar points of the static and background objects projected on the camera detection bounding boxes, which in turn helped in identifying valid clusters for distance estimation in the fusion algorithm. Estimated positions from the camera 2D detections are then associated with the lidar detections by introducing closest Euclidean distance. We evaluated the algorithm in a custom dataset and observed 28% increase in recall rates compared to the lidar fusion using camera object detection alone approach.
Jose, Edwin, P, Aparna M, Patil, Mrinalini, Thayyil Ravi, Arunkrishna, Rajan, Manoj
Conventional dental photography technology has had a limitation in using inconvenient tools such as mirrors and cheek retractors. Dentists require basic teeth images from various angles, such as right/left buccal and maxillary/mandibular occlusal, for dental health inspection. To acquire these images, patients feel discomfort because dentists must put a mirror into the mouth to capture the reflected teeth image through a handheld camera. Information such as tooth arrangement and the location of tooth decay can be obtained through this process. A compact intraoral dental camera can overcome the discomfort and scan the condition of teeth. However, due to the restricted depth of field and field of view, the conventional device has limitations in close-up imaging for observing tooth decay in detail and wide-angle imaging for capturing the entire arrangement of teeth.
The commercial vehicle development process needs to consider the vehicle aerodynamics not only in ideal flow conditions, but also in the turbulent real world environment. The turbulent real world environment includes not only atmospheric turbulence, but also the vehicle to vehicle interactions that happen when driving around other vehicles or into and out of the wake of in/on coming vehicles. A vehicle driving into the wake of an oncoming vehicle not only experiences an increase in the total aerodynamic forces, it also experiences unsteady transient loads over the vehicle components such as windshield, mirror, sunvisor, door and side fairing. To properly design specific components, designers need to understand the magnitude of unsteady forces on various vehicle components, otherwise these components may fail which imposes warranty and safety risks. In this paper, we attempt to understand the various forces acting on the primary vehicle during a passing maneuver. The main purpose is to understand the incremental unsteady forces acting on the major components such as windshield, side door, sunvisor and mirror. Result from this study shows, very large swings in side-force magnitude, which could lead to vehicle stability issues for empty trailers that are subjected to large forces acting on little inertial mass. Local forces on isolated components show very high frequency unsteady load that could lead to component fatigue and failure if these loading conditions are not incorporated as part of the vehicle component design.
Dasarathan, Devaraj, He, Wei, Spencer, Stacey, Gargoloff, Joaquin
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