Vehicle cybersecurity vulnerabilities could impact a vehicle's safe operation. Therefore, engineers should ensure that systems are designed free of unreasonable risks to motor vehicle safety, including those that may result due to existence of potential cybersecurity vulnerabilities. The automotive industry is making vehicle cybersecurity an organizational priority.
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).
SAE J3061 sets out a recommended cybersecurity engineering process framework for organizations developing cyber physical systems. One of the recommendations of this framework is to carry out a threat analysis and risk assessment early in the product development. A threat analysis identifies and models the relevant threats against assets, and a risk assessment classifies the impact and likelihood associated with each threat. The approach enables the prioritization of risks and appropriate risk treatment measures to be determined in subsequent development phases.
Finite Element Analysis (FEA) has been used by engineers as a design tool in new product development since the early 1990's. Until recently, most FEA applications have been limited to static analysis due to the cost and complexity of advanced types of analyses. Progress in the commercial FEA software and in computing hardware has now made it practical to use advanced types as an everyday design tool of design engineers. In addition, competitive pressures and quality requirements demand a more in-depth understanding of product behavior under real life loading conditions.
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.
We are currently in the age of developing Autonomous Vehicles (AV). Never before in history, the environment has been as conducive as today for these developments to come together to deliver a mass produced autonomous car for use by general public on the roads. Several enhancements in hardware, software, standards and even business models are paving the way for rapid development of AVs, bringing them closer to production reality. Safety is an indispensable consideration when it comes to transportation products, and ground vehicle development is no different. We have several established standards. When it comes to Autonomous Vehicle development, an important consideration is ISO 26262 for, Automotive Functional Safety. Going from generic frameworks such as Failure Mode and Effects Analyses (FMEA) and Hazard and operability study (HAZOP) to Functional Safety, Safety of Intended Functionality, and Automotive Safety Integrity Levels specific is a natural progression.
Abstract:At present there are a few types of transmission system available in automated industry, there might some variation in transmission system but the basic working and principle is still the same. Many big automotive manufacturers use different technologies in their transmission system but they still use the same basic principle in their transmission systems. This new technology which is brought by Koenigsegg has changed the way people think about transmission system. This new transmission system is known as Koenigsegg Direct Drive and is currently used by one automotive manufacturer and in one vehicle only, but it soon might change the way it is now.
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.
Objective This paper explores the usage of Altair simulation driven concept process, C123 for developing the chassis frame of the SUV along with Multidisciplinary optimisation tool. C123 process is useful for strategic & systematic usage of optimisation to generate design alternatives, trade-off information, best balanced designs, design sensitivities, to actively support the concept development process on daily basis. Methodology C123 is used for developing initial concept design of the chassis frame of the SUV. C123 process is independent of vehicle architectures, manufacture process (e.g. extrusions, sheet metal) & material selection (e.g. metals, composites, mixed etc.) and platform sharing strategy. C1 process is used for identification of optimum Structural Layout, C2 is for rapid optimum Sizing of idealized Sections, C3 is used for detailed optimum Sizing of Manufacturable Sections. Automatic process is used for handling pre and post processing process very efficiently.
Rapidly enhancing engineering techniques to manufacture components in quick turnaround time have gained importance in recent time. Manufacturing strategies like Additive Manufacturing (AM) are a key enabler for achieving them. Unlike traditional manufacturing techniques such as injection molding, casting etc., AM unites advanced materials, machines, and software which will be critical for Industry 4.0. Successful application of AM involves a specific combination and understanding of these three key elements. In this paper the AM approach used is Fused Deposition Modelling (FDM). Since material costs contribute to 60% of the overall FDM costs, it becomes a necessity to optimize the material consumption of the produced parts. This paper reports case studies of 3D printed parts used in an Automobile plant’s production aids, which utilize computational methods(CAE), topology optimization and FDM constrains (build directions) to manufacture the part in the most optimal way.
Electrical release machining (EDM), is a material removal procedure whereby a coveted shape is acquired by utilizing electrical releases (sparks). Material is expelled from the work piece by a progression of quickly repeating current releases between cathode and anode, isolated by a dielectric fluid and subject to an electric voltage. At the point when the voltage between the two terminals is expanded, the power of the electric field in the volume between the anodes winds up more prominent than the quality of the dielectric (in any event in a few spots), which separates, enabling current to stream between the two cathodes. This wonder is the equivalent as the breakdown of a capacitor (condenser). Accordingly, material is expelled from the cathodes.
RESEARCH OBJECTIVE Accelerated artificial weathering performance has been always observed as critical and most important factor for durability prediction of colour and resin for a coating system. Photo oxidation of resin is the phenomenon behind coating’s ageing. Though accelerated weathering tests protocols are widely used in industry, they are very costly and still very time consuming. One automotive grade accelerated testing can go as long as 8 months duration. METHODOLOGY (maximum 150 words) Photo oxidation value (POV) is proportionate to the degradation of the resin material used in coating. During the accelerated weathering POV is measured for the coating at stipulated interval during initial phase and trend is plotted for deterioration verses weathering test duration. POV can be analysed with the help of FTIR analysis to observe bond absorption energy and bond separation energy in the resin system. This trend can be extrapolated to predict the weathering performance of coating.
Automotive safety is the primary concern in the current world. In order to develop safe and crashworthy vehicles, phenomena behind the energy absorption characteristics of every automotive component must be known. Steering wheel is one of the key players which could cause severe injuries to the driver if sufficient safety measures are not considered. This research focuses on the crash performance of commercial vehicle steering as per head form and body block test prescribed in ECE R12. Detailed FE (Finite Element) model of the steering wheel including armature, horn pad was developed using nonlinear material properties. The model was first validated using the test results. Comparisons between experimental results and finite element analysis results were conducted and correlated using load versus displacement profiles over the duration of impact. A good relationship between test and FE results was found which allows for investigation into the energy analysis of the steering components.
The Automotive industry is in ever more need for a lesser weight car due to progressively stringent emission norms and the demand of customer to have better mileage. It can be a gargantuan challenge for automotive manufacturers to search for lesser weight material to meet both customers as well as regulatory norms. But in some cases such lower weight material can increase the cost and adding a expensive material which increases overall cost to a price sensitive market like India is not favorable. One such solution is using the indigenous plant fiber (Jute) in combination with propylene (PP) to make Interior plastics components. Jute a vegetable fiber also referred to as "the golden fiber" has high tensile strength, low extensibility and is well established in fabric, packing, agriculture, construction industries. The biodegradable Jute lesser weight & abundance (India is the leading manufacturer of the Jute) can be utilized in making automobile trim parts in India.
The automotive industry is constantly trying to develop cost effective, high strength and lightweight components to meet the emission and safety norms while remaining competitive in the market. Forging process plays an important role to produce most of the structural components in a vehicle. Precision forging technology is used to produce components with little or no flash leading to elimination of machining process after forging. The load acting on the dies during net or near net forging is very high and leads to wear in the die. In order to have a good die it is important that die wear which is an inevitable phenomenon in a bulk metal forming processes is predicted mathematically. In this study a review on the vast number of studies done in the area of wear and various predictive models is carried out.
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.
Objective: In ground vehicle industry, strain life approach is commonly used for predicting fatigue life. This approach requires use of fatigue material properties such as fatigue strength coefficient (σf'), fatigue strength exponent (b), fatigue ductility coefficient (εf'), fatigue ductility exponent (c), cyclic strength coefficient (K′) and cyclic strain hardening exponent (n′). These properties are obtained from stable hysteresis loop of constant amplitude strain-controlled uniaxial fatigue tests. Usually fatigue material properties represent 50th percentile experimental data and doesn't account possible material variation in the fatigue life calculation. However, for robust design of vehicle components, variation in material properties need to be taken into account. In this paper, methodology to develop 5th percentile (B5), 10th percentile (B10) and 20th percentile (B20) fatigue material properties are discussed.