Browse Topic: Design Engineering and Styling

Items (44,786)
A mobile wireless charger is a device that charge a smartphone or other compatible gadgets without the need for physical cables. Principle of wireless mobile charger system based on inductive coupling phenomena. The main objective of this paper aims to address the challenge of packaging wireless mobile charger in peculiar door trim profile keeping overall functionality and aesthetic appearance of door trim intact. This paper deals with integration of a wireless charging system within the door trim of a vehicle to provide convenience and advanced functionality. The objective is to pack a wireless charger in door trim meeting the ergonomic target and equilibrium state stability while maintaining sleek and minimalist design of the door trim. The study focuses on innovative packaging solutions related to space optimization in door despite multiple challenges involved. Major challenge lies in packing the unit amidst complex mechanisms such as window regulators, speakers, structural
Palyal, NikitaD, GowthamBhaskararao, PathivadaKumarasamy, Raj GaneshBornare, Harshad
Accurately determining the loads acting on a structure is critical for simulation tasks, especially in fatigue analysis. However, current methods for determining component loads using load cascade techniques and multi-body dynamics (MBD) simulation models have intrinsic accuracy constraints because of approximations and measurement uncertainties. Moreover, constructing precise MBD models is a time-consuming process, resulting in long turnaround times. Consequently, there is a pressing need for a more direct and precise approach to component load estimation that reduces efforts and time while enhancing accuracy. A novel solution has emerged to tackle these requirements by leveraging the structure itself as a load transducer [1]. Previous efforts in this direction faced challenges associated with cross-talk issues, but those obstacles have been overcome with the introduction of the "pseudo-inverse" concept. By combining the pseudo-inverse technique with the D-optimal algorithm
Pratap, RajatApte, Sr., AmolBabar, Ranjit
The advent of wide-bandgap (WBG) switching MOSFET devices enables high-frequency operation, allowing for significant reductions in the size of passive components such as inductors and capacitors, and improving the overall efficiency of inverter systems. However, these benefits come with the trade-off of increased electromagnetic interference (EMI), which imposes stringent requirements on filter design. The complexity of designing EMI filters, which depends heavily on switching frequency and applicable EMI standards, presents a significant challenge and can impact development timelines. Carrier wave modulation technique is considered as an effective method for minimizing conducted EMI in traction inverters. This article presents various carrier wave modulation schemes that successfully reduce conducted EMI. The evaluated strategies aim to eliminate noise fluctuations and simplify the design of demanding EMI filters. Additionally, the impact on output voltage, output current, total
R, KodeeswaranKuncham, Sateesh KumarKolhatkar, Yashomani
In automotive vehicle manufacturing, paint shop constitutes one of the highest energy intensive processes. This steers automotive OEMs to continuously improve production efficiency and reduce operational costs of the processes involved in paint shop through digital twin technologies. In addition, the push for shorter time-to-market emphasizes the need for simulation-based manufacturing processes, such as virtual testing and CAE simulations. The simulation-based processes enable faster and data-driven decision-making early in the product development cycle, thereby ultimately reducing cost and development time. Among the various stages in the paint shop, two of the important stages are: 1 Electro-dip coating (E-coating), also known as Electro-Deposition coating, which applies a corrosion-resistant primer to the Body-in-White (BIW). 2 Oven curing, which ensures the primer is properly bonded and cured for long-term protection and finish quality. To optimize the processes in these stages
Gundavarapu, V S KumarP, VivekaanandanGarg, ManishNavelkar, TanayBS, Balachandran
In the automotive industry, during the early phase of development, numerical prediction of strength and durability of chassis parts become crucial as these predictions help in design optimization, selecting the appropriate material and identifying potential issues before physical prototypes are built. One of the crucial simulation requirements is the prediction of accurate load carrying capacity or bucking load of axle links. When it comes to the sheet metal axle links there is a deviation in the hardware test and CAE results for load carrying capacity due to the non-integration of forming effects in the numerical simulation, resulting in overdesign of parts, increased costs and development time. This study aims to address these challenges by integrating forming effects experienced by the part during forming process into static strength simulations. These effects include plastic straining, which contributes to material strain hardening and local thickness changes that lead to thinning
R B, GovindSelvaraj, Nirmal Velgin
Computer-Aided Engineering (CAE) users often follow traditional meshing and contact generation processes, which are time-consuming, repetitive, and heavily dependent on user experience and perspective. The method described herein presents a system for generating a mesh and contact interfaces that ensures standardized and consistent output for a model. The process stores multiple mesh configurations, each containing a set of predefined geometric parameters to create standardized mesh for users. The process begins by receiving data for a CAD model of an object and capturing user input through a graphical user interface (GUI). Users specify parameters such as body type, global mesh size, and a selected mesh configuration from the available options. Using these inputs, the system generates a mesh for the model, incorporating the selected mesh configuration The contact automation process offers multiple key features for enhancing FEA simulations. It classifies contact types based on user
Dabadgaonkar, AnandKamble, Amardeep
Rainwater accumulation in the cowl region, located at the base of the windshield, can lead to serious HVAC performance degradation, corrosion, and passenger discomfort if not effectively drained. Traditional physical validation methods are often time-consuming, costly, and limited in diagnostic insight. This study presents a simulation-driven methodology for evaluating and optimizing HVAC cowl box drainage performance during the early design phase. Using STAR-CCM+, a multiphase Volume of Fluid (VOF) approach was implemented to visualize water flow behavior under static and dynamic conditions. Design variants were assessed by modifying drain tube geometry (shape, size, and placement) and cowl surface features, such as baffle positioning. Results showed that inadequate drainages were primarily due to stagnation zones, shallow slopes, and drain locations prone to clogging. Water film accumulation near the HVAC inlet was accurately predicted, highlighting potential ingress paths under high
Mathew, RonnieIbrahim, SayyafNikumbh, Nayan
The increasing adoption of electric vehicles (EVs), efficient and accurate battery modeling has become crucial for reliable performance evaluation and control system design. However, maintaining high accuracy in simulations generally requires complex computations, which can limit real-time applicability and scalability. High-fidelity battery models often require significant computational time, making them unsuitable for real-time simulations and large-scale system integration. This paper presents the application of Simulink Reduced Order Models (ROM) to simplify the simulation of EV batteries while maintaining acceptable levels of accuracy. The EV simulation environment has been developed in MATLAB/Simulink to analyze Battery Management System (BMS) control system design and assess EV system level performance. This simulation platform consists of BMS and other important EV controller models and high-fidelity plant models for battery and powertrain systems. While these high-fidelity
Vernekar, Kiran
The HVAC (Heating, Ventilation, and Air conditioning) system is designed to fulfil the thermal comfort requirement inside a vehicle cabin. Human thermal comfort primarily depends upon an occupant’s physiological and environmental condition. Vehicle AC performance is evaluated by mapping air velocity and local air temperature at various places inside the cabin. There is a need to have simulation methodology for cabin heating applications for cold climate to assess ventilation system effectiveness considering thermal comfort. Thermal comfort modelling involves human manikin modeling, cabin thermal model considering material details and environmental conditions using transient CAE simulation. Present study employed with LBM (Lattice-Boltzmann Method) based PowerFLOW solver coupled with finite element based PowerTHERM solver to simulate the cabin heat up. Human thermal comfort needs physiological modelling; thus, the in-built Berkeley human comfort library is used in simulation. Human
Baghel, Devesh KumarKandekar, AmbadasKumar, RaviDimble, Nilesh
Damping materials exhibit advantageous mechanical and acoustic characteristics that enhance the structural integrity of systems. These materials find extensive applications across various industries, including automotive, aerospace, and building acoustics, and are widely employed in the development of soundproofing materials. The damping characteristics of materials primarily pertain to the dissipation of vibrational energy, the reduction of oscillations, and the controlling and subsequent attenuation of vibration-induced noise emanating from structures. To improve both structural integrity and acoustic performance, it is crucial to accurately assess the damping properties of these materials. The Oberst bar test method is a standard method used in the automotive, railway and building industry for initial optimization of damping material However, questions have arisen about the degree to which the outcomes of the Oberst test truly reflect real-world applications. Numerous experimental
Kamble, Prashant PrakashJoshi, ManasiJain, SachinkumarHarishchandra Walke, Nagesh
Traditionally, occupant safety research has centered on passive safety systems such as seatbelts, airbags, and energy-absorbing vehicle structures, all designed under the assumption of a nominal occupant posture at the moment of impact. However, with increasing deployment of active safety technologies such as Forward Collision Warning (FCW) and Autonomous Emergency Braking (AEB), vehicle occupants are exposed to pre-crash decelerations that alter their seated position before the crash. Although AEB mitigates the crash severity, the induced occupant movement leads to out-of-position behavior (OOP), compromising the available survival space phase and effectiveness of passive restraint systems during the crash. Despite these evolving real-world conditions, global regulatory bodies and NCAP programs continue to evaluate pre-crash and crash phases independently, with limited integration. Moreover, traditional Anthropomorphic Test Devices (ATDs) such as Hybrid III dummies, although highly
Pendurthi, Chaitanya SagarTHANIGAIVEL RAJA, TKondala, HareeshSudarshan, B.SudarshanNehe, VaibhavRao, Guruprakash
A passenger vehicle's front-end structure's structural integrity and crashworthiness are crucial to ensure compliance with various frontal impact safety standards (such as those set by Euro NCAP & IIHS). For a new front-end architecture, design targets must be defined at a component level for crush cans, longitudinal, bumper beam, subframe, suspension tower and backup structure. The traditional process of defining these targets involves multiple sensitivity studies in CAE. This paper explores the implementation of Physics-Informed Neural Networks (PINNs) in component-level target setting. PINNs integrate the governing equations into neural network training, enabling data-driven models to adhere to fundamental mechanical principles. The underlying physics in our model is based upon a force scheme of a full-frontal impact. A force scheme is a one-dimensional representation of the front-end structure components that simplifies a crash event's complex physics. It uses the dimensional and
Gupta, IshanBhatnagar, AbhinavKumar, Ayush
Mounting strategies for vehicles with panoramic sunroofs remains a challenge owing to its high complexity to balance cost, performance and assembly efficiency. Achieving efficient and reliable headliner mounting solutions is one of the conundrums where cost optimization must go together with uncompromised performance. Traditional methods like Dual Lock Fasteners (DLFs), have set high benchmarks for robustness but at the cost of increased manufacturing complexity and expense . In pursuit of a more economical and production-friendly alternative, various plastic clip designs were explored. However, these solutions posed significant challenges during validation due to the stringent requirements for mounting feasibility, tolerance management, and long-term durability This paper introduces a novel hybrid plastic-metal clip solution that addresses those challenges comprehensively. [2] The new design achieves precise tolerance control, ensuring reliable headliner installation under varying
D, GowthamKumarasamy, Raj GaneshShoeb, MohdChauhan, Aarti
Nowadays, vehicle enthusiasts often vary the driving patterns, from high-speed driving to off-roading. This leads to a continuous increase in demand for four-wheel drive (4WD) vehicles. A 4WD vehicle have better traction control with enhanced stability. The performance and reliability of 4WD vehicles at high speeds are significantly influenced by driveline stiffness and natural frequency, which are largely affected by the propeller shaft and transfer case. This study focuses on the design optimization of the transfer case and the propeller shafts to enhance the vehicle performance at high speeds. The analysis begins with a comprehensive study of factors affecting the power transfer path, transfer case stiffness, and critical frequency, including material properties, propeller shaft geometry, and different boundary conditions. Advanced computational methods are employed to model the dynamic behavior of the powertrain, identifying the natural frequency of the transfer case and propeller
Kumar, SarveshYadav, SahdevS, ManickarajaSanjay, LKanagaraj, PothirajJain, Saurabh KumarDeole, Subodh M
In pursuit of a distinct sporty interior sound character, the present study explores an innovative strategy for designing intake systems in passenger vehicles. While most existing literature primarily emphasizes exhaust system tuning for enhancing vehicle sound quality, the current work shifts the focus toward the intake system’s critical role in shaping the perceived acoustic signature within the vehicle cabin. In this research work, target cascading and settings were derived through a combination of benchmark and structured subjective evaluation study and aligning with literature review. Quantitative targets for intake orifice noise was defined to achieve the desired sporty character inside cabin. Intake orifice targets were engineered based on signature and sound quality parameter required at cabin. Systems were designed by using advanced NVH techniques, Specific identified acoustic orders were enhanced in the intake system to reinforce the required signature in acceleration as well
Sadekar, Umesh AudumbarTitave, UttamPatil, JitendraNaidu, Sudhakara
The rising demand for high-performance 4x4 electric vehicles (EVs) has necessitated development in Noise, vibration and harshness (NVH) optimization, especially in critical components such as compressor bracket. This study focuses on NVH optimization of a dual-stage compressor bracket, comparing its performance against conventional single stage isolation bracket. The dual-stage bracket is evaluated for isolation effectiveness, modal frequency alignment, and overall NVH performance, while ensuring compliance with stiffness targets. Additionally, dual-stage design meets stringent stiffness requirement, confirming structural integrity under dynamic loads. Modal analysis results reveal that the dual-stage configuration effectively shifts critical frequencies away from operational ranges, reducing resonance risks. The results highlight the dual-stage bracket's ability to address NVH challenges in high-performance 4x4 EVs, offering a robust solution for improving cabin comfort and vehicle
Hazra, SandipTangadpalliwar, Sonali
Engine noise mitigation is paramount in powertrain development for enhanced performance and occupant comfort. Identifying NVH problems at the prototype stage leads to costly and time-consuming redesigns and modifications, potentially delaying the product launch. NVH simulations facilitate identification of noise and vibration sources, informing design modifications prior to physical prototyping. Early detection and resolution of NVH problems through simulation can significantly shorten the overall development cycle and multiple physical prototypes and costly redesigns. During NVH simulations, predicting and optimizing valvetrain and timing drive noise necessitates transfer of bearing, valve spring, and contact forces to NVH simulation models. Traditional simulations, involved continuous force data export and NVH model evaluation for each design variant, pose efficiency challenges. In this paper, an approach for preliminary assessment of dB level reductions across design iterations is
Rai, AnkurDeshpande, Ajay MahadeoYadav, Rakesh
When the flow of fluid within a high-pressure line is abruptly halted, pressure pulsations are generated. This phenomenon is known as the water hammer effect. This may lead to significant stress and, in the worst-case scenario, results in various types of failures within the highly pressurized system. Similar issues are observed in diesel high pressure fuel line where pressure is well above 1600 bar. Due to multiple injections on-off events, pressure pulsation gets created inside high pressure fuel lines (HPFL) which leads to problems such as high strain on high pressure fuel lines, mechanical damage, uneven fuel injected quantity, vibration beyond specification limits for rail pressure sensors or in worst case extreme noise. This is due to high pressure pulsation which occurs when fluid/fuel natural frequency resonates with structural HPFL natural frequency. In this work, A comparative FEA analysis is conducted to evaluate strain in two distinct high-pressure fuel lines, with pressure
Bawache, Krushna RameshSethy, Girija Kumari
The design and improvement of electric motor and inverter systems is crucial for numerous industrial applications in electrical engineering. Accurately quantifying the amount of power lost during operation is a substantial challenge, despite the flexibility and widespread usage of these systems. Although it is typically used to assess the system’s efficiency, this does not adequately explain how or why power outages occur within these systems. This paper presents a new way to study power losses without focusing on efficiency. The goal is to explore and analyze the complex reasons behind power losses in both inverters and electric motors. The goal of this methodology is to systematically analyze the effect of the switching frequency on current ripple under varying operating conditions (i.e., different combinations of current and speed) and subsequently identify the optimum switching frequency for each case. In the end, the paper creates a complete model for understanding power losses
Banda, GururajSengar, Bhan
Leakage of oil through breathers can be a serious concern in electric vehicle (EV) gearbox or transaxle units, especially due to the complexities presented by the small housing space and rotational components, which are running at relatively high speeds compared to conventional transmission units. Predicting the oil leakage from the transmission unit is another concern. Traditional methods are mostly centered on developing individual breather compartments, resulting in excess material usage, additional weight, and increased cost of manufacturing. To eliminate oil leakage through the air breather, the oil channelization technique used involves integrated oil deflection baffles, low-friction return channels, an oil accumulation cavity with cover, and strategically optimized airflow paths/vents. This design provides a number of benefits, such as increased gearbox reliability, minimized risk of component failure, and reduced maintenance needs, with all of these and a compact, cost
Ekshinge, Mahesh ShivajiAgrawal, DeveshPandey, Ankit KumarBhandari, Kiran Kamlakar
This study develops a one-dimensional (1D) model to enhance transmission efficiency by evaluating power losses within a transmission system. The model simulates power flow and identifies losses at various stages such as gear mesh, bearing, churning, and windage losses. Using ISO/TR 14179, which provides a method for calculating the thermal transmittable power of gear drives with an analytical heat balance model, the 1D model ensures accurate thermal capacity evaluation under standard conditions. A key advantage of this 1D model is its efficiency in saving time compared to more complex 3D modelling, making it particularly useful during the conceptual stage of transmission system development. This allows engineers to quickly assess and optimize transmission efficiency before committing to more detailed and time-consuming 3D simulations. To validate the model, experimental tests were conducted at various motor speeds (RPM) and torque values, using high-precision sensors and dynamometers
Bandi, Nagendra ReddyKolla, KalyanP, SelvandranPulugundla, Krishna ChaitanyaM A, Naveen Kumar
This paper presents the virtual prototyping of traction motor in commercial EV to make an early prediction of the performance parameters of the machine without spending an enormous cost in building a physical structure. A 48/8 slot-pole configuration of IPMSM is used to demonstrate the electromagnetic and thermal co-simulation in ANSYS MotorCad. The core dimensions were determined using permanent-magnet field theory. From those, a two-dimensional finite-element (2D FEM) model of the interior permanent magnet (IPM) motor was simulated using Ansys Motor-CAD electromagnetic simulation tool. The influence of geometrical parameters on the performances of traction motor are evaluated based on FEM. The temperature distribution have been analyzed under steady and transient operating conditions. Alongside, the effects of saturation, demagnetization analysis, and the impact of PM flux linkage on inductances are also considered in this paper. At last, the simulation and analytical results of the
Murty, V. ShirishRathod, SagarkumarGandhi, NikitaTendulkar, SwatiKumar, KundanThakar, DhruvSethy, Amanraj
Driver-in-the-Loop (DIL) simulators have become crucial tools across automotive, aerospace, and maritime industries in enabling the evaluation of design concepts, testing of critical scenarios and provision of effective training in virtual environments. With the diverse applications of DIL simulators highlighting their significance in vehicle dynamics assessment, Advanced Driver Assistance Systems (ADAS) and autonomous vehicle development, testing of complex control systems is crucial for vehicle safety. By examining the current landscape of DIL simulator use cases, this paper critically focuses on Virtual Validation of ADAS algorithms by testing of repeatable scenarios and effect on driver response time through virtual stimuli of acoustic and optical warnings generated during simulation. To receive appropriate feedback from the driver, industrial grade actuators were integrated with a real-time controller, a high-performance workstation and simulation software called Virtual Test
Sharma, ChinmayaBhagat, AjinkyaKale, Jyoti GaneshKarle, Ujjwala
The rapid evolution of electric vehicles (EVs) has amplified the demand for highly integrated, efficient, and intelligent powertrain architectures. In the current automotive landscape, EV powertrain systems are often composed of discrete ECUs such as the OBC, MCU, DC-DC Converter, PDU, and VCU, each operating in isolation. This fragmented approach adds wiring harness complexity, control latency, system inefficiency, and inflates costs making it harder for OEMs to scale operations, lower expenses, and accelerate time-to-market. The technical gap lies in the absence of a centralized intelligence capable of seamlessly managing and synchronizing the five key powertrain aggregates: OBC, MCU, DC-DC, PDU, and VCU under a unified software and hardware platform. This fragmentation leads to redundancy in computation, increased BOM cost, and challenges in system diagnostics, leading to sub-optimal vehicle performance. This paper addresses the core issue of fragmented control architectures in EV
Kumar, MayankDeosarkar, PankajInamdar, SumerTayade, Nikhil
The integration of Advanced Driver Assistance Systems (ADAS) into modern vehicles necessitates innovative solutions for interior packaging that balance out safety, performance, and ergonomic considerations. This paper introduces an inverted U-shaped steel tube cross car beam (CCB) as a superior alternative to traditional straight tube designs, tailored for premium vehicle instrument panels. The U-shaped geometry overcomes the limitations of straight tube beams by creating additional packaging space for components such as AR-HUDs, steering columns, HVAC systems, and electronic control units (ECUs). This geometry supports efficient crunch packaging while accommodating ergonomic requirements like H-point, eyeball trajectory, and cockpit depth for optimal ADAS component placement. The vertical alignment of the steering column within the U-shaped design further enhances space utilization and structural integrity. This study demonstrates that the inverted U-shaped CCB is a transformative
Mahajan, Ajay SenuRegatte, GaneshNagarjuna, KamisettiSahoo, SandeepUdugu, KumaraswamyJC, Sudheera
Meeting the stringent emissions norms of CEV stage V for medium BMEP engines, CI engines present significant challenges. These stringent norms call for a highly efficient DPF. With the increasing demands for high-performance DPFs, the issue of soot accumulation and cleaning presents significant hurdles for DPF longevity. This paper explores the potential of passive DPF regeneration, which leverages naturally occurring exhaust gas conditions to oxidize accumulated soot, offering a promising approach to minimize fuel penalty and system complexity compared to active regeneration methods. The study investigates engine calibration techniques aimed at enhancing passive regeneration performance, emphasizing the optimization of thermal management strategies to sustain DPF temperatures within the passive regeneration range. Furthermore, the paper aims to expand the applicability of passive regeneration across diverse engine loads common in off-highway applications with effective passive
Saxena, HarshitGandhi, NareshLokare, PrasadShinde, PrashantPatil, AjitRaut, Ashish
Improving transaxle efficiency is vital for enhancing the overall performance and energy economy of electric vehicles. This study presents a systematic approach to minimizing power losses in a single-speed, two-stage reduction e-transaxle (standalone) by implementing a series of component-level design optimizations. The investigation begins with the replacement of conventional transmission oil with a next-generation low-viscosity transmission fluid. By adopting a lower-viscosity lubricant, the internal fluid resistance is reduced, leading to lower churning losses and improved efficiency across a wide range of operating conditions. Following this, attention is directed toward refining the gear macro-geometry to create a gear set with reduced power losses. This involves adjustments to parameters such as module, helix angle, pressure angle, and tooth count, along with the introduction of a positive profile shift. These modifications improve the contact pattern, lower sliding friction, and
Agrawal, DeveshBhardwaj, AbhishekBhandari, Kiran Kamlakar
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
This research paper investigates the failure of an isolator clip used in the seat slider assembly, which guides and restricts the sliding motion of the tooth bracket within the seat. The component is made of C80 high-carbon spring steel, known for its high strength. According to the manufacturing process details, zinc plating was applied to the component for corrosion protection, as confirmed by EDS analysis. A fractographic examination of the failed part revealed a brittle, intergranular fracture morphology with visible cracks. Certain areas also exhibited micro-void coalescence, indicating a dimpled fracture surface. The primary failure mode was intergranular (IG) fracture. The delayed fracture was attributed to intergranular fracture mechanisms, micro-void coalescence, and the high strength of the steel, which made the component susceptible to hydrogen embrittlement. Hydrogen embrittlement occurs when hydrogen atoms become trapped along the grain boundaries, where they form hydrogen
Saindane, Mehul KishorBali, Shirish
Overloading in vehicles, particularly trucks and city buses, poses a critical challenge in India, contributing to increased traffic accidents, economic losses, and infrastructural damage. This issue stems from excessive loads that compromise vehicle stability, reduce braking efficiency, accelerate tire wear, and heighten the risk of catastrophic failures. To address this, we propose an intelligent overloading control and warning system that integrates load-sensing technology with real-time corrective measures. The system employs precision load sensors (e.g., air below deflection monitoring via pressure sensors) to measure vehicle weight dynamically. When the load exceeds predefined thresholds, the system triggers a multi-stage response: 1 Visual/Audio Warning – Alerts the driver to take corrective action. 2 Braking Intervention – If ignored, the braking applied, immobilizing the vehicle until the load is reduced. Experimental validation involved ten iterative tests to map deflection-to
Raj, AmriteshPujari, SachinLondhe, MaheshShirke, SumeetShinde, Akshay
Generally, in an electric sports utility vehicle with rear mounted powertrain the mass distribution is greater in the rear compared to front. This higher rear to front weight distribution results in oversteer behavior during high-speed cornering deteriorating vehicle handling & risking passenger safety. To compensate this inherent oversteer nature of such vehicles & produce understeer behavior, the steering rack is placed frontwards of the front wheel center for toe-out behavior due to lateral compliance during cornering. This compensation measure results in lower Ackermann percentage resulting in higher turning circle diameter deteriorating vehicle maneuverability. This paper proposes a design to obtain ideal understeer gradient with minimal turning circle diameter through utilization of split link technology with a McPherson Strut based suspension framework & frontwards placed steering rack. This suspension is utilized in our Mahindra Inglo platform. This paper elaborates on how
Nadkarni, Ameya RavindraMhatre, NitijPatnala, AvinashNAYAK, Bhargav
The growing environmental, economic, and social challenges have spurred a demand for cleaner mobility solutions. In response to the transformative changes in the automotive sector, manufacturers must prioritize digital validation of products, manufacturing processes, and tools prior to mass production. This ensures efficiency, accuracy, and cost-effectiveness. By utilizing 3D modelling of factory layouts, factory planners can digitally validate production line changes, substantially reducing costs when introducing new products. One key innovation involves creating 3D models using point cloud data from factory scans. Traditional factory scanning processes face limitations like blind spots and periodic scanning intervals. This research proposes using drones equipped with LiDAR (Light Detection and Ranging) technology for 3D scanning, enabling real-time mapping, autonomous operation, and efficient data collection. Drones can navigate complex areas, access small spaces, and optimize
Narad, Akshay MarutiC H, AjheyasimhaVijayasekaran, VinothkumarFasge, Abhishek
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