Browse Topic: Historical reference

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ABSTRACT The U.S. Army Combat Capabilities Development Command (DEVCOM) Ground Vehicle Systems Center (GVSC) has been developing next generation crew stations over the last several decades. In this paper, the problem space that impacts design development and decisions is discussed. This is followed by a historical overview of crewstation development activities that have evolved over the last 30 years, as well as key lessons learned that must be considered for successful ground vehicle Soldier-vehicle interactions. Lastly, the direction and critical technological focus areas are identified to exploit advancements and meet future combat vehicle system needs. Citation: T. Tierney, “A Perspective on GVSC Crewstation Development and Addressing Future Ground Combat Vehicle Needs,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Tierney, Terrance M.
This aerospace information report (AIR) provides historical design information for various aircraft landing gear and actuation/control systems that may be useful in the design of future systems for similar applications. It presents the basic characteristics, hardware descriptions, functional schematics, and discussions of the actuation mechanisms, controls, and alternate release systems. The report is divided into two basic sections: 1 Landing gear actuation system history from 1876 to the present. This section provides an overview and the defining examples that demonstrate the evolution of landing gear actuation systems to the present day. 2 This section of the report provides an in depth review of various aircraft. A summary table of aircraft detail contained within this section is provided in paragraph 4.1. The intent is to add new and old aircraft retraction/extension systems to this AIR as the data becomes available. NOTES 1 For some aircraft, the description is incomplete, due to difficulties in obtaining the data.
A-5B Gears, Struts and Couplings Committee
Despite a long history of development, modern spark-ignition (SI) engines are still restricted in obtaining higher thermal efficiency and better performance by knock. Knocking combustion is an abnormal combustion phenomenon caused by the autoignition of unburned air-fuel mixture ahead of the propagating flame front. This work describes investigations into the significance of spark plug location (with respect to inlet and exhaust valve position) on the knock formation mechanism. To facilitate the investigation, four spark plugs were installed in a specialized liner at four equispaced distinct locations to propagate flames from those locations, which provoked a distinct flame propagation from each and thus individual autoignition profiles. Six pressure transducers were arranged to precisely record the pressure oscillations, knock intensities, and combustion characteristics. Four of the six transducers were mounted on the circumference of the liner (each next to one of the spark plugs), one was placed at the center of the cylinder head, and one at a slight offset from the center of cylinder head. The results showed that the spark plug which was close to the exhaust valves triggered higher knock intensity along with earlier CA50, but the spark plug near the inlet valves caused weaker knock intensities for the same operating conditions. In addition, the study also covered the effect of swirl direction to suppress knock. A band pass filtering analysis was applied to estimate the pressure oscillations with respect to the spark plug locations, using data from the multiple pressure sensors. Furthermore, Fast Fourier Transform (FFT) analyses were implemented to estimate the frequency of the pressure oscillation resulting from knock. It was found that firing the spark plugs, near the inlet and between the inlet and exhaust valves promoted the (1, 0) acoustic mode effectively, while the spark plug near the exhaust valves caused the (1, 0) mode along with the (2, 0) acoustic mode for the same operating conditions, indicating that the autoignition was initiated near the cylinder walls.
Uddeen, Kalim, Shi, Hao, Tang, Qinglong, Turner, James
Open Rotor Engine Technology Review – A Tool for Efficiency2020-36-01083/26/2021
The aviation industry has been strongly driven by stringent safety, efficiency and environmental requirements. In the efficiency field, engine efficiency, allied with aerodynamic design improvements, have played an important role to reduce the fuel burn, given that fuel expenses are currently one of the major cost drivers of the air carriers worldwide. Since the beginning of the jet engine era, engine efficiency has evolved significantly, through thermodynamic efficiency improvements, associated mainly with increased engine pressure ratio (EPR) and turbine inlet temperature (TIT). Another important optimization driver has been the propulsive efficiency, associated with increased bypass ratios (BPR). Material and aerodynamic properties have imposed limits for thermal efficiency improvements, which ultimately might hinder further progresses. Meanwhile, propulsive efficiency - highly dependent on the BPR - is currently limited, due to the inherent increase in the nacelle weight and drag, derived from the higher BPR and its intrinsic larger fan diameter. In this context, the so called Open Rotor (OR) engine concept has been proposed to address the engine’s propulsive efficiency improvement, without the hurdles seen on the Turbofans (ducted fans), i.e. nacelle weight and drag increase. Furthermore, this engine technology has also incorporated the so called Contra Rotating (CR) concept, to recover the energy from the fan’s exhaust flow swirl, and, hence, improve further the propulsive efficiency. This engine concept has been initially proposed in the late 70's, as a product of an energy efficiency research program, to face the late 70's oil crisis. The technological concept has been developed and tested in the laboratory/wind tunnel and prototype’s operational field test campaigns (the most well known as Unducted Fan (UDF) and Propfan) along the 80's, focused on the medium range airplanes market. Albeit successfully from a propulsion and efficiency perspective, the increased noise level required further research. Moreover, the changes in the oil price scenario that followed the 90s have reduced the technology’s attractiveness for the world air carriers, which ultimately have contributed to the discontinuance of the research efforts. However, the advent of the continuously stringent efficiency (and emissions) standards, associated with a new oil price upward trend scenario, have awakened the interest in the technology. In this context, technological research institutions and engine manufacturers have relaunched the research programs, focused on the technology improvement and reliability tests, aimed on the medium term scenario, i.e. the next generation engine technology, to be used in mid range aircrafts. This work is supposed to present an Open Rotor Engine technology review, associated with a historical overview of its evolution pathway and current research initiatives, as well as the technological challenges to be addressed prior to its commercial use.
Barbosa, Fábio Coelho
General criteria are presented as guidelines for: control device location, resistance, and actuation of hand and foot controls by the machine’s operator. The criteria are based upon physical limitations as defined by human factors engineering principles.
HFTC1, Controls, Visibility, Anthropometrics, Accessibility
Projecting the market for full-electric and hybrid-electric commercial vehicles will continue to expand, Germany-based lithium-ion battery specialist Akasol recently announced production-readiness of a newly-developed battery pack that sets an energy-density benchmark. The company's president also confirmed Akasol will build a manufacturing facility in the Detroit area targeted to begin production in mid-2020. Akasol has a 30-year history of producing battery systems for buses and other commercial vehicles, as well as railway and marine applications. President Roy Schulde says the new American plant is being constructed primarily to build battery packs for buses constructed by European-brand customers doing business in the U.S. The company already claims Europe's largest commercial-vehicle lithium-ion battery production facility.
Visnic, Bill
Shared Mobility is changing mobility trends of Automotive Industry and its one of the Disruptions. The current vehicle customer usage and life of components are designed majorly for personal vehicle and with factors that comprehend usage of shared vehicles. The usage pattern for customer differ between personal vehicle, shared vehicle & Taxi. In the era of Autonomous and Shared mobility systems, the customer usage and expectation of vehicle condition on each & every ride of vehicle will be a vehicle in good condition on each ride. The vehicle needs systems that will guide or fix the issues on its own, to improve customer satisfaction. We also need a transformation in customer behavior pattern to use shared mobility vehicle as their personal vehicle to improve the life of vehicle hardwares & reduce warranty cost. We will be focusing on Vehicle Closure hardware & mechanisms as that will be the first and major interaction point for customers in vehicle. This gives us an opportunity to improve product life and customer experience in ride share and shared mobility vehicles. Vehicle closures human interface’s and their components like opening/closing of door, hood, liftgate, Inside / Outside handle, window regulator etc., will be monitored against specific parameters for their performance and usage pattern. The performance parameters will be tracked for every customer and mapped to their profile as customer behavior model. Vehicle closure hardware will express its emotions (Self-Expressive) based on customer interactions to the components. By this system we will control customer abusive behavior, reduce impacts to vehicle and improve life to the component. Vehicle Closures hardware performance parameters will be monitored by IoT sensors and predictive maintenance decisions (Self-Healing) will be taken by component failure theory & warranty history by machine learning algorithms. This system will help to increase life of component & also improve customer satisfaction.
Subramanian, Vijayasarathy, Kumar, Biju, Sivakrishna, Masani, Marappan, Anandakumar
Methodology for Failure Simulation Using 4 Corner 6 DOF Road Load Simulator of Overhanging Components: An Experimental Approach2019-28-240411/21/2019
Nowadays, Road Load Simulators are used by automobile companies to reproduce the accurate and multi axial stresses in test parts to simulate the real loading conditions. The road conditions are simulated in lab by measuring the customer usage data by sensors like Wheel Force transducers, accelerometers, displacement sensors and strain gauges on the vehicle body and suspension parts. The acquired data is simulated in lab condition by generating ‘drive file’ using the response of the above mentioned sensors. Due to non- linear nature of the vehicle parts, transmissibility of load is a complex phenomenon. Due to this complex transmissibility, good simulation at wheel center does not always ensure good correlation at all vehicle locations. The low level of correlation is common at the locations like engine mount, horn bracket and other overhanging brackets which are away from the wheel center. However, during countermeasure evaluation for vehicle development, often it becomes essential to simulate failure at this kind of low correlation zones. In this paper, an experimental approach was applied for focused failure simulation of engine mount which is one of such low correlation zone with a known failure history. A methodology was established to simulate proving ground loads on engine mount along with the simulation of loads at wheel center using a 4 corner 6 DOF road load simulator. Simulation result was verified by conducting the endurance run on test rig and matching the nature of failure on test rig with the actual failure history. Repeatability of the failure was also ensured using the same simulation model.
Malik, Naveen, Bhattacharya, Ayan, Jindal, Sahil, Ali Naqvi, Sayed Zergham
The Analysis of Brake Squeal Noise Related to the Friction Properties of Brake Friction Materials2019-01-21329/15/2019
The friction properties related to squeal noise was analyzed with the development histories and simplified computational method. Firstly, the development histories were investigated especially focusing on the case which the friction materials were modified to improve squeal noise occurrence. Based on the histories, the friction properties of selected friction materials were newly measured using dynamometer. The average friction coefficient levels, torque oscillations, the increment of friction coefficient during full-stop, and etc. were compared with the squeal noise occurrence, and the results showed that increase of friction properties cause production of squeal noise. The result suggested that the size of friction energy was important factors related to triggering the squeal noise. Also, the contact conditions between rotor disc and friction materials were significant factors deciding the noise occurrence. We performed simplified computational analysis using MATLAB program to prove the effect of friction energy on the noise occurrence. The friction surfaces were roughly designed and the distribution of contact plateaus was controlled to simulate different contact conditions. The different contact conditions were designed and performed sliding at low velocity condition to observe stick-slip phenomena. The friction energy was calculated with the amplitude of stick-slip for each case. The results showed that when the similar sized contact plateaus were increased, friction energy or the amplitude of stick-slip was also increased. And the total size of contact plateaus, which denote contact area, also affected the amplitude of stick-slip profile. Therefore the computational analysis supported the test results. In this study, we suggest that the design of friction surface considering contact condition is important to reduce triggering of the squeal noise.
Lee, Sang-mok, Woo, Jung Hoon, Cho, Younggu, Kim, Dong Won
Autonomous Vehicle Engineering: September 201919AVEP099/5/2019
Editorial The new 'face' of privacy The Navigator No trust in AI systems without data protection Innovation Nation In the mobility space, Israel is rivaling Silicon Valley for smarts and start-ups - and beats it in chutzpah. Autonomy in your Face Biometric technology is deemed essential to ensuring AV driving safety and advancing the user experience-if privacy issues don't derail its deployment. About Face! To win acceptance, deployment of facial-recognition technology needs to fit within a picture-perfect consumer and legal framework that balances benefits with privacy protection. The Vehicle as Gaming Device Audi spin-off Holoride uses VR to turn the back seat into an entertainment platform. BlackBerry Tech Duo Sees Emergence of Vehicle-based Platforms Though likely to provide the OS of autonomy, BlackBerry also anticipates a larger shift to automobiles as software platforms. Improving Lidar - or Defeating It The buzz at Sensors Expo pitted lidar-tech optimism against the reality of an impending shakeout. 'Smart' in Ohio's Heartland With a 45-year history in vehicle testing, Ohio's Transportation Research Center launches a $45-million investment in the automated-vehicle future, becoming North America's largest dedicated AV test facility. Empathy to Elevate the User Experience Harman developers are striving to create human-machine interfaces oriented more towards user needs. ZF's Tech Portfolio is Ready for Level 4 Autonomy Well aware of the relentless hype that comes with automated driving development, ZF's autonomy boss knows cost will be crucial-and customer persuasion required. Trucking Without Truckers The challenges are myriad, but automated-trucking developer TUSimple believes the efficiencies of true depot-to-depot driverless hauling are too promising to ignore.
This SAE Standard defines methods and messages to efficiently translate sequences of text and other types of data into and out of indexed values and look-up tables for effective transmission. This document defines: a Methods and Data Elements for handling indexes and strings in ATIS applications and message sets b Message Sets to support the delivery and translations of tables used in such strings c Tables of Nationally standardized strings for use in ATIS message descriptions And examples of each in illustrative portions. While developed for ATIS use, the methods defined in this document are useful for any textual strings in any Telematics applications found both in Intelligent Vehicles and elsewhere.
V2X Core Technical Committee
In many fields of technology, examinations of the past can provide insights into the future. This paper reviews the last 20 years of automotive seat comfort development and research as chronicled by SAE’s session titled “Human Factors in Seating Comfort”. Records suggest that “Human Factors in Seating Comfort” has existed as a separate session at SAE’s World Congress since 1999. In that time there have been 148 unique contributions (131 publications). The history is fascinating because it reflects interests of the time that are driven by technology trends, customer wants and needs, and new theories. The list of contributors, in terms of authors and their affiliations, is also telling. It shows shifts in business models and strategies around collaboration. The paper ends with a discussion of what can be learned from this historical review and the major issues to be addressed. One of the more significant contributions of this paper is the reference list. It contains all 131 of SAE’s “Human Factors in Seating Comfort” published papers in a single location. These references represent the foundation of automotive seating comfort, which should be considered core knowledge and should be familiar to those in the profession, both new and old.
Kolich, Michael
Modern vehicles record dynamic data from a number of on-board sensors for events that could precede a crash. These data can be used to reconstruct the behavior of a vehicle, although the accuracy of these reconstructions has not yet been quantified. Here, we evaluated various methods of reconstructing the vehicle kinematics of a 2017 and a 2018 Toyota Corolla based on Vehicle Control History (VCH) data from overlapping events generated by the pre-collision system (PCS), sudden braking (SB) and anti-lock brake (ABS) activation. The vehicles were driven towards a stationary target at 32-64 km/h (20-40 mph) and then after the pre-collision alarm sounded the vehicle was steered sharply right or left and braked rapidly to rest. VCH data for PCS event were recorded at 2 Hz and for the sudden braking and ABS activation events at 6.7 Hz. The steering wheel angle and the vehicle’s longitudinal acceleration, lateral acceleration, and angular rate data were extracted and used to predict the vehicle position and heading over the duration of the VCH data record preceding the vehicle coming to rest. These predictions were generated by directly integrating the VCH data and by using the VCH data as inputs to PC-Crash simulations. The predicted positions and headings were then compared to the actual position and heading data measured using differential GPS synchronized to the VCH data record. The results of these analyses provide insights into the best methods for reconstructing vehicle kinematics from VCH data and estimates of the errors associated with different reconstruction techniques.
Tsuge, Brandon, Yang, Mike, Flynn, Thomas, Xing, Peter, Lawrence, Jonathan, Heinrichs, Bradley, Siegmund, Gunter
Machine Learning with Decision Trees and Multi-Armed Bandits: An Interactive Vehicle Recommender System2019-01-10794/2/2019
Recommender systems guide a user to useful objects in a large space of possible options in a personalized way. In this paper, we study recommender systems for vehicles. Compared to previous research on recommender systems in other domains (e.g., movies or music), there are two major challenges associated with recommending vehicles. First, typical customers purchase fewer cars than movies or pieces of music. Thus, it is difficult to obtain rich information about a customer’s vehicle purchase history. Second, content information obtained about a customer (e.g., demographics, vehicle preferences, etc.) is also difficult to acquire during a relatively short stay in a dealership. To address these two challenges, we propose an interactive vehicle recommender system based a novel machine learning method that integrates decision trees and multi-armed bandits. Decision tree learning effectively selects important questions to ask the customer and encodes the customer's key preferences. With these preferences as prior information, the multi-armed bandit algorithm, using Thompson sampling, efficiently leverages the user’s feedback to improve the recommendations in an online fashion. The empirical results show that our hybrid learning method can effectively make interactive vehicle recommendations to users.
Yu, Tong, Mengshoel, Ole, Meroux, Dominique, Jiang, Zhen
Deriving Strain Based Local Structural Element Concept for the Fatigue Assessment of Additively Manufactured Structures2019-01-05254/2/2019
Additive manufacturing offers new options for lightweight design for safety parts under cyclic loading conditions. In order to utilize all advantages and exploit the full potential of additive manufactured parts, the main impact factors on the cyclic material behavior not only have to be identified and quantified but also prepared for the numerical fatigue assessment. This means in case of the AlSi10Mg aluminum alloy to consider influences related to the exposure strategy, heat treatment, microstructure, support structures and the surface conditions, as well as the influence of the load history and finally the interaction of these influences in order to perform a high quality fatigue assessment. Due to these reasons, and with respect to the numerical effort, the cyclic material behavior of additively manufactured AlSi10Mg produced by selective laser melting will be discussed. With respect to the microstructure, as well as the manufacturing process, a local structure element will be derived for the fatigue assessment. Thus, an influence that may be directly induced by the manufacturing process, like pores and different microstructures, can be considered with the help of this new structure elements. Stresses and strains have to be interpreted as integral mean values of a defined local structure element, well knowing that the local stresses and strains could be higher due to stress concentrations e.g. in geometrical and metallurgical notches. Furthermore, influences on the fatigue strength or life caused by different surface conditions, can be considered by the use of the new structure elements. Finally, the influence of the glide character is taken into account in order to improve the numerical fatigue approach of cyclic loaded additive manufactured structures and components.
Wagener, Rainer, Möller, Benjamin, Melz, Tobias, Scurria, Matilde
Prediction of Human Actions in Assembly Process by a Spatial-Temporal End-to-End Learning Model2019-01-05094/2/2019
It’s important to predict human actions in the industry assembly process. Foreseeing future actions before they happened is an essential part for flexible human-robot collaboration and crucial to safety issues. Vision-based human action prediction from videos provides intuitive and adequate knowledge for many complex applications. This problem can be interpreted as deducing the next action of people from a short video clip. The history information needs to be considered to learn these relations among time steps for predicting the future steps. However, it is difficult to extract the history information and use it to infer the future situation with traditional methods. In this scenario, a model is needed to handle the spatial and temporal details stored in the past human motions and construct the future action based on limited accessible human demonstrations. In this paper, we apply an autoencoder-based deep learning framework for human action construction, merging into the RNN pipeline for human action prediction. This contrasts with traditional approaches which use hand-crafted features and different domain outputs. We implement the proposed framework on a model vehicle seat assembly task. Our experiment results indicate that the proposed model is effective in capturing the historical details that are necessary for future human action prediction. In addition, the proposed model synthesizes the prior information from human demonstrations and generates the corresponding future action by those spatial-temporal features successfully.
Zhang, Zhujun, Zhang, Zhujun, Wang, Weitian, Chen, Yi, Jia, Yunyi, Peng, Gaoliang
Flexible Tooling Systems have been developed as a reconfigurable part support system to enable trimming of multiple part geometries utilizing a single router or waterjet. The driver for this development has been improved part quality, elimination of ergonomic issues associated with manually trimming, and the elimination of cost for part number specific hard tooling and the associated cost for manufacturing, maintenance, and storage. This paper will briefly trace the evolution of aerospace parts trimming history. The remainder of the report will focus on the technical objectives associated with the development of the Next Generation Flexible Tooling System, how they were achieved including the process for validation of each support location in aircraft coordinates. This system is designed to increase part holding accuracy with specific support location validation, and significantly reduce system maintenance costs in wet or dry environments.
Kirby, Larry, Weddle, Ronald
The moisture/water absorption and microvoids/cracks progression are two well-understood mechanisms that have significant degradation effects on the mechanical properties/behaviors of the polymer-based composites. To theoretically investigate the effects of above two mechanisms, we develop a simple fiber reinforced polymer composites model by employing the internal state variable (ISV) theory. The water content and the anisotropically distributed damage of the composites are considered as two ISVs (the water content is described by a scalar variable and the damage is defined as a second order tensor) whose histories are governed by two specific physically-based evolution equations. The proposed model can be easily cast into a general theoretical framework to capture more polymer composites behaviors such as viscoelasticity, viscoplasticity and the thermal effect. The results predicted by current model are in good agreement with the experimental data, which allows us to implement the model into FEA for future structural analysis.
He, Ge, Liu, Yucheng
This document sets forth several acceptable methods of laser beam divergence measurement techniques.
G-10T Laser Safety Hazards Committee
Reliability analysis of a large-scale system under random dynamic loads can be a very time-consuming task since it requires repeated studies of the system. In many engineering problems, for example, wave loads on an offshore platform, the excitation loads are defined using a power spectral density (PSD) function. For a given PSD function, one needs to generate many time histories to make sure the excitation load is modeled accurately. Global and local approximation methods are available to predict the system response efficiently. Each way has their advantages and shortcomings. The combined approximations (CA) method is an efficient method, which combines the advantages of local and global approximations. This work demonstrates two methodologies that utilize CA to reduce the cost of crude or separable Monte Carlo simulation (MCS) of linear dynamic systems when the excitation loads are defined using PSD functions. The system response is only calculated at a few frequencies within the range of the PSD function, and CA is used to estimate the response for the other frequencies of excitation. This approach significantly reduces the computational time of a crude or separable MCS since it only requires few full analyses of the system depending on the shape of the PSD function. The performances of the proposed methods are demonstrated in two examples.
Norouzi, Mahdi, Nikolaidis, Efstratios
Optimisation of Scooter Frame for Target Life on 2-Poster Rig with Virtual Simulation2019-26-03071/9/2019
Vehicle frame evaluation at early stages of product development cycle is essential to reduce product turnaround time to market. In conventional approach of virtual validation it is required to evaluate the strength of the vehicle structure to account for the standard Service Load Analysis (SLA) loading conditions. But this paper describes on the strength analysis of scooter frame with derivation of critical static load cases. The critical load cases are extracted from the load-time history while the vehicle was simulated on durability virtual test rigs which is equivalent to proving ground tests. This methodology gives the better accuracy in prediction of stress levels and avoids the overdesign of components based on traditional validation technique. There is significant drop in stress levels using the critical load case approach as compared to conventional load case method. The identified critical load cases were validated using the measured strain data and it shows good agreement of correlation with physical testing. Using this approach frame optimization is also achieved and with further validation no structural failures were seen. Hence, this approach can be very useful and effective for future design of frames not only for two wheeled vehicle but also can be extended to other automobiles.
Palve, Vikas, Kumbhar, Shyamsundar, Roy, Gyanendra
This SAE Recommended Practice encompasses the significant factors which determine the effectiveness of a seat system in limiting spinal injury during vertical impacts between the rider and the snowmobile seat system. The document is intended to provide a tool for the development of safer snowmobile seats. It is recognized that the seat is only a portion of the entire vehicle protective suspension system. It is, however, usually required that the seat serve as added protection to the suspension system, since the latter may "bottom out" during a severe impact. The term "seat" refers to the occupant-supporting system not normally considered part of the vehicle suspension or frame system. In some cases, it may include more than the foam cushion. This document provides the minimum requirements for performance of a general seat system, and a description of specific means of evaluating the shock-absorbing characteristics of foam seat cushions using a specific testing procedure and a companion seat evaluation chart. The test input and means of interpreting the results are unique to the seats of typical recreational snowmobiles. Therefore, this document is to be used for snowmobile seats only and is not to be used to evaluate seats of any other type of vehicle. In addition, it should not be applied to seats of snow vehicles of significantly different design, dimensions, construction, or intended usage from the typical recreational snowmobile illustrated in SAE J33.
Snowmobile Technical Committee
Abstract - The Warrior Injury Assessment Manikin (WIAMan) was developed to assess injury in Live Fire Test and Evaluation (LFTE) and laboratory development tests of vehicles and vehicle technologies subjected to underbody blast (UBB) loading. While UBB events impart primarily vertical loading, the occupant location in the vehicle relative to the blast can result in some inherent non-vertical, or off-axis loading. In this study, the WIAMan Technology Demonstrator (TD) was subjected to 18 tests with a 350g, 5-ms time duration drop tower pulse using an original equipment manufacturer (OEM) energy attenuating seat in four conditions: purely vertical, 15° forward tilt, 15° rearward tilt, and 15° lateral tilt to simulate the partly off-axis loading of an UBB event. The WIAMan TD showed no signs of damage upon inspection. Time history data indicates the magnitude, curve shape, and timing of the response data were sensitive to the off-axis loading in the lower extremity, pelvis, and spine.
Pietsch, Hollie A., Weyland, David R.
Due to improvements in vehicle powertrain performance, friction material fade performance is becoming an important topic. For this reason, needs for studies to improve thermal characteristics of the brake system is increasing. Methods for improving the fade characteristics have several ways to improve the thermal characteristic of friction materials and increase disc capacity. However, increasing disc capacity(size) have some risk of weight and cost rise, and friction factor improvements in friction material tend to cause other problems, such as increasing squeal wire brush noise and increasing metal pick up on disc surface. Therefore, a slot disc study is needed to overcome the problems discussed previously. Currently, there is few research history for slot disc related to fade and metal pickup improvements. Through this study, I found that the slot disc improved the friction material fade properties, but the application of the slot disc could cause air plane noise and worsen the friction material wear characteristic this study shows that optimizing the number of slots and slot profile and slot direction on disc surface minimizes air plane noise and friction material wear characteristic.
Kim, Hyungjoon, Kim, Yoon Cheol, Seo, Hankyo, Seol, Jaekwang, Yoon, Chul, Kim, Kwang Yun
Over the past 60 years, NASA scientists and engineers have developed many advanced technologies and processes. But NASA has also partnered with industry, using commercially available products to complete its missions. Here, some of those companies join NASA in celebrating these collaborative successes.
For six decades, NASA has led the peaceful exploration of space, making discoveries about our planet, our solar system, and our universe. At home, NASA research has made great advances in aviation, helped to develop a commercial space industry, enrich our economy, create jobs, and strengthen national security. Here is just some of what NASA has achieved in its first 60 years.
The first “A” in NASA stands for aeronautics — the science of travel through the air. It's as much about flying on airplanes and arriving safely at a destination as it is about astronauts in space. NASA's roots go back to the National Advisory Committee for Aeronautics, established in 1915 to “supervise and direct the scientific study of the problems of flight.”
In 1977, the National Renewable Energy Laboratory (NREL, Golden, CO) started as the Solar Energy Research Institute (SERI), spurred by national concern during the 1973 oil embargo that caused long lines and high prices at gas stations. Three months after his 1977 inauguration, President Jimmy Carter announced his desire to reduce dependence on foreign oil and invest in alternative energy sources. He created SERI with the mission to launch a new American energy industry, and consolidated oversight of U.S. energy policy into the newly formed U.S. Department of Energy.
This SAE Standard provides a definition of a rainflow file format. This type of simple text file would contain all relevant information about the rainflow cycle content of a time history. Included information are Comments, Signal Range, Signal Mean, Number of Cycles, Signal Maximum, Signal Minimum. Rainflow cycle counting has become the most accepted procedure for identifying material fatigue relevant cycles in complex variable amplitude load time histories. The cycle counting methods account for the effects of material plasticity and material memory of prior deformation, and the resulting compressed history information is used by durability analysts to estimate the effects of a given service or test history. Standardization of the rainflow counting methods output files, which is the format addressed by the present standard, is important for reliable information transfer between test and design groups, or different calculation software packages, and thus forms a critical step in the evaluation of components and vehicles. Further background information can be found in the SAE publication AE-10 cited in 2.1.1.
Materials, Processes and Parts Council
Development and Validation Procedure of a 1D Predictive Model for Simulation of a Common Rail Fuel Injection System Controlled with a Fuel Metering Valve03-11-04-00277/10/2018
A fully predictive one-dimensional model of a Common Rail injection apparatus for diesel passenger cars is presented and discussed. The apparatus includes high-pressure pump, high-pressure pipes, injectors, rail and a fuel-metering valve that is used to control the rail pressure level. A methodology for separately assessing the accuracy of the single submodels of the components is developed and proposed. The complete model of the injection system is finally validated by means of a comparison with experimental high-pressure and injected flow-rate time histories. The predictive model is applied to examine the fluid dynamics of the injection system during either steady-state or transient operations. The influence of the pump delivered flow-rate on the rail-pressure time history and on the injection performance is analysed for different energizing times and nominal rail pressure values. A comparison between fuel metering valve and pressure-control-valve strategies is also carried out in terms of rail pressure and pump delivered flow-rate time histories. The advantages and the weak points of each strategy are highlighted: the fuel metering valve control is more efficient, due to the absence of a throttling of high-pressure fuel, but leads to poorer dynamic response during nominal rail pressure transients. Even though the injection performance is the same under steady-state working conditions, significant differences between the two strategies can occur during engine transients.
Ferrari, Alessandro, Pizzo, Pietro, Vitali, Ruggero
Active suspension was a topic of great research interest near the end of last century. Ultimately broad bandwidth active systems were found to be too expensive in terms of both energy and financial cost. This past work, developing the ultimate vehicle suspension, has relevance for today’s vehicle designers working on more efficient and effective suspension systems for practical vehicles. From a control theorist’s perspective, it provides an interesting case study in the use of “practical” knowledge to allow “better” performance than predicted by theoretically optimal linear controllers. A brief history of active suspension will be introduced. Peter Wright, David Williams, and others at Lotus developed their Lotus modal control concept. In a parallel effort, Dean Karnopp presented the notion of inertial (Skyhook) damping. These concepts will be compared, the combination of these two distinctly different efforts will be discussed, and eventual vehicle results presented. Most of the contemporary literature treated active suspension as a theoretical vibration isolation problem, but handling improvements from active suspension were even more impressive. Handling and actual hardware considerations motivated a confluence of both primary approaches. This innovative implementation of a control algorithm preserving features of both Lotus modal control and inertial damping is discussed, and compared with theoretical optimal controllers. Finally, a surprising fundamental performance limit of the modal inertial damping algorithm is discussed, and a solution presented.
Williams, Daniel Eugene
This SAE Standard provides test procedures, requirements, and guidelines for reflex reflectors.
Signaling and Marking Devices Stds Comm
In this work, the complex relationship between deformation history and residual stresses in a magnesium-to-aluminum self-pierce riveted (SPR) joint is elucidated using numerical and experimental approaches. Non-linear finite element (FE) simulations incorporating strain rate and temperature effects were performed to model the deformation in the SPR process. In order to accurately capture the deformation, a stress triaxiality-based damage material model was employed to capture the sheet piercing from the rivet. Strong visual comparison between the physical cross-section of the SPR joint and the simulation was achieved. To aid in understanding of the role of deformation in the riveting process and to validate the modeling approach, several experimental measurements were conducted. To quantify the plastic deformation from the piercing of the rivet, micro hardness mapping was performed on a cross-section of the SPR joint. The FE model showed very strong correlation to the experimental hardness mapping results suggesting the nonlinear model captured the plastic deformation with high accuracy. To measure the elastic residual stresses in the SPR joint, neutron and x-ray diffraction mapping techniques were conducted and in general, the FE model correlated well to the trends and magnitudes of the elastic stresses. While some error occurred in between the model and the neutron and x-ray diffraction results, the numerical approach developed in this study shows potential as a tool for understanding SPR behavior as well as optimizing the process parameters.
Moraes, J.F.C., Jordon, J.B., Su, Xuming, Brewer, Luke N., Fay, Brian J., Bunn, J.R., Sochalski-Kolbus, Lindsay, Barkey, M.E.
SAE Truck & Off-Highway Engineering: April 201818TOFHP044/5/2018
Connectivity takes center stage Telematic links have become the norm, helping fleet owners and operators improve efficiency and letting OEMs predict component failures. More power, less noise, fewer emissions These key attributes drive development of new generators both big and small. TARDEC pursues advanced power generation U.S. Army, GM collaborate on fuel-cell-generated electricity to power the vehicle's propulsion system and onboard electronics, while providing off-vehicle power via an Exportable Power Take-Off unit. Developing an alternative engine concept Ricardo's CryoPower engine leverages two unique combustion techniques for reduced emissions and fuel consumption-liquid nitrogen and split combustion. Long-haul trucking and stationary power generation will be the first beneficiaries of the technologies. Technology time-warp The road to autonomous driving has been under construction for decades, as showcased by SAE's Mobility History Committee at the 2018 WCX in Detroit. Editorial 'Heavy' topics on tap for WCX18 Hackers aim to exploit vulnerabilities in CVs, pushing security to the forefront Generative design software exploits AI to change how new vehicles, equipment are designed SwRI's ECTO-Lab bridges gap in catalyst and aftertreatment development Diesel reigns as alternatives expand their role in commercial trucks AKG R&D center boasts unique large-radiator thermal shock test stand JCB reveals new range of crawler excavators, first fully-electric mini excavator Medium-duty truck market heats up
This article describes a numerical methodology, based on Finite Element approach, able to simulate, with a unique solution, the dynamic and structural response of a full vehicle running on fatigue reference roads. The current durability process is a multidisciplinary one based on a combination of three different phases: load definition, stress definition, and fatigue life prediction. For Long-Time Histories events, the second phase of this process is necessarily based on a Linear assumption using a Static or Dynamic approach. However, in durability events, some situations can lead the material to work in the plastic range, thus putting on the top the strength aspect of the performances and making these phases not independent and sequential, but strongly interdependent. The goal of the methodology reported in this article is to merge, in a unique numerical simulation, the load and stress definition phases. To this purpose, the solution of a full vehicle model of a commercial van, with a complete Finite Element representation of the body structure, running on fatigue roads, is investigated. This work represents an evolution of current load generation methodology and is able to quantify the impact of Nonlinear effects, such as contact and material plastic behavior, on structural response. A comparison of loads and stresses evaluated with the old approach and the new one is performed.
Duni, Efthimio, Signorini, Alberto, Puleo, Vincenzo, SIAS, Alessandro, Piccardi, Simone, Mennillo, Serena
In the current work, unidirectional (UD) carbon fiber composite hatsection component with two different layups are studied under dynamic three-point bending loading. The experiments are performed at various impact velocities, and the effects of impactor velocity and layup on acceleration histories are compared. A macro model is established with LS-DYNA for a more detailed study. The simulation results show that the delamination plays an important role during dynamic three-point bending test. Based on the analysis with a high-speed camera, the sidewall of hatsection shows significant buckling rather than failure. Without considering the delamination, the current material model cannot capture the post-failure phenomenon correctly. The sidewall delamination is modeled by assumption of larger failure strain together with slim parameters, and the simulation results of different impact velocities and layups match the experimental results reasonably well.
zhou, Guowei, Sun, Qingping, Zeng, Danielle, Li, Dayong, Su, Xuming
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