Finite Element Analysis (FEA) is a powerful and well recognized tool used in the analysis of heat transfer problems. However, FEA can only analyze solid bodies and, by necessity thermal analysis with FEA is limited to conductive heat transfer. The other two types of heat transfer: convection and radiation must by approximated by boundary conditions. Modeling all three mechanisms of heat transfer without arbitrary assumption requires a combined use of FEA and Computational Fluid Dynamics (CFD).
Side impact crashes account for approximately twenty-six percent of all motor vehicle fatal crashes, second only to frontal crashes, according to a report by the National Highway Transportation and Safety Administration (NHTSA). While car companies and suppliers continue to develop new technologies that make vehicles safer, NHTSA rolled out updated safety regulations (FMVSS 214) based on new research studies, making vehicle safety design more and more complex. This seminar is designed to familiarize participants with the engineering principles behind vehicle and restraint designs for occupant safety.
Vision based solution for auto- maneuvering of vehicle for emerging market: Author/Co-Author: Singh Ashwani, SDV Ram Kumar, Bose Souvik, Lalwani Chandraprakash General Motors Technical Centre India Key words: Image Processing, Gap finding, virtual/Imaginary lines, Advance Driver Assist System (ADAS), Vehicle to vehicle(V2V)/Vehicle to Infrastructure(V2I/V2X) Research & Engineering Objective: For the various levels of autonomous, the current perception algorithms involve considerable number of sensor inputs like cameras, radars and Lidars and their fusion logics. The planning route for the vehicle navigation is done through map information which is highly volatile and keep changing many at times. Existing steering assist feature during a curve is available by combining additional driver monitoring camera & 360 degree camera. The complexity is very high in the implementation and computation of these algorithm. These solutions are not cost-effective for emerging markets.
Automation is expanding in every possible direction and it was only time before it reached the Automobile sector. There has been tremendous traction towards autonomous cars since last 2-3 yrs as a probable solution to reduce accidents and promote safe and comfortable commute. Many companies have expressed their interest in developing some part(s) of it and when would all of this culminate resulting in a fully autonomous car. But as every coin has two aspects so same does automation. This paper covers the future of autonomous cars from Indian perspective, covering possible challenges, complex use cases, advantages, technology enablers, economy outlook etc. India has the dubious honor of ranking first in road deaths in the world at present & accounts for 10 percent of global road accidents with more than 1.46 lakh fatalities annually.
Shared Mobility is changing the trends in 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 is high. The vehicle needs systems that will control customer interactions (Self-Expressive) & fix the issues on their own (Self-Healing). These two systems / methods will help in increasing customer satisfaction and life of the vehicle. We will be focusing on vehicle Closure hardware & mechanisms and look for opportunities to improve product life and customer experience in ride share and shared mobility vehicles by enabling integrated designs, which will Self-Express & Self-Heal.
Research and/or Engineering Questing/Objectives: Safety of the occupant in passenger cars is one of the regulatory requirements in many developed countries. This includes upper interior head impact load case of the unbelted occupant during crash (FMVSS 201U) as one of them. During a crash event the occupant head can collide with the interior parts of the vehicle, such as a headliner, pillar trim and other subsequent components in the loading direction. Injury on the head is quantified in terms of the Head Injury Criterion of a crash test dummy (HIC(d)) value which should be less than 1000 per standard. Several ways can be adopted to reduce the HIC(d) value. These include a change in the design of ribs in the safety plastic components, headliner profile change, use of countermeasure foam between headliner and the exterior sheet metal parts, or a combination of any of these to absorb the energy of impact.
Head injuries are the main source of road fatalities in when a pedestrian is involved in an accident with the vehicle. The frontal part of vehicle such as engine hood, lower-windshield area and A-pillars are the possible location of head impact in such accidents. The head impact with hard points located in these areas result in the fatal head injuries. The effect of impact can be reduced by using the deployable pedestrian protection systems (DPPS) such as hood-lifters and windshield airbag in the vehicle. The study shows how these systems are effective in reducing the fatalities in pedestrian accidents and how to evaluate the performance of these deployable systems.
Research and/or Engineering Questions/Objective Plastic automotive fuel tanks made up of blow molded, multi-layered, high-density polyethylene (HDPE) material can take complex shapes with varying thickness. Accidental drop of fuel tank from a height during handling can lead to development of cracks. Damage can also occur due to an impact during a crash. This can be catastrophic due to flammability of the fuel. The objective of this work is to characterize and develop a failure model for the fuel tank material to simulate damage and enhance predictive capability of CAE for chassis and safety load cases. Methodology Different aspects were considered to develop a characterization and modelling strategy for the HDPE fuel tank. Material properties can be influenced by factors such as, service temperature, rate of deformation, state of stress etc.
Automotive industry needs to exhibit compliance of their product with respect to the Automotive Industry Standards (AIS) at government approved test agencies. CAE (Computer Aided Engineering) plays a vital role in achieving the compliance for the same. With physical testing being more expensive for design iterations, CAE simulations are being considered as vital option. Considering the importance of time for approval, simulation tools are used to understand the physics of testing and failure.
Automotive returnable cases (Stacktainers) are being used to transport the automotive parts through surface & seaways. No automotive manufacturer wants to spend money on woods, paper & cardboard again and again, it`s better to pay once for robust & reusable cases. these provide better protection to parts from its manufacturing to assembly line of vehicle. While transporting, any kind of crack or failure of returnable cases may lead to loss of money, human & time. To ensure the safety, these pallets have to be validated for vibrations coming from surface irregularities, sea waves & load due to stacking of cases one above other. The objective of this study is to establish a correlation in between the physical testing & simulation in Computer added Engineering (CAE) of automotive returnable case (Stacktainers). There are different types of tests considered to validate the returnable case, rough road evaluation, Multi-axial Vibration & strength evaluation.