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).
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.
The positioning of the sensors on vehicle will play a critical role in autonomous cars, it improves the performance of overall system by all the means and make it cost effective by reducing a total system cost. This paper contributes in deciding the best position of camera location on the vehicle with complete geometric and system calculation based on the maximum speed of vehicle, hardware processing speed, camera parameters, actuation and control time, Blind spot detections, maximum Height of objects, etc. The paper presents the technologies and datasets used for lane lines and other object detections. It focusses on newly proposed technique and its calculations to decide the best location of monocular camera sensor on the vehicle by considering all other parameters of autonomous vehicle system. It enhances the performance of overall system as well as reduces the system cost which takes us closer to the futuristic dream of efficient and low-cost autonomous vehicle.
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.
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.
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.
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.
In this paper, mold in color diamond white ASA material has been explored for front bumper grill, fender arch extension and hinge cover applications. Other than aesthetic requirements, these parts have precise fitment requirement under sun load condition in real world usage profile. Structural durability of the design was validated by virtual engineering. Part design and material combinations with better tooling design iterations were analysed by using mold flow analysis. Complete product performances were validated for predefined key test metrics such as structural durability, thermal aging, cold impact, scratch resistance, and weathering criteria. This part met required specification. This mold in color ASA material-based parts has various benefits such as environmentally friendly manufacturing by eliminating environmental issues of coating, easily recycled, and faster part production because intended color achieved in one step during molding.
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.
These days backhoe loader have become main part of construction equipment vehicles. The main function of backhoe is to dig ditches to lay pipes and underground cable, set up foundations for buildings and create drainage systems. During these operations, many failures are observed in backhoe loader structure/parts. With the help of Accelerated structural durability testing, life of backhoe loader & its part can be estimated; through which we can understand different failure modes. The real time data was collected during various operations which includes pit digging, duck walk, ditch climbing, levelling, dozing, piling, truck loading etc. We have used software based approach to process the strain, displacement and other data collected during real time operation to create the duty cycle. The same duty cycle was simulated in the lab condition using servo hydraulic actuators.
RESEARCH OBJECTIVE: Automobile Industry has driven through the ages with continuous development with innovative technologies and frugal engineering. Expectation of customer is also increasing through the generations. To meet the customer demand for performance and be best in market, OEM needs to deliver best performance of vehicle with cost effective and short development process. Steering and Handling of vehicle is one of major customer touchpoints and needs to be tuned to achieve various conflicting requirements. The objective of this research is to optimize the steering and handling using correlation between three major methods of evaluation. METHODOLOGY: Methodology for optimization of steering and handling performance using correlation between subjective evaluation, objective measurement and multi-body-dynamic simulation is presented.
Digital Twins for Prognostic Profiling Authors: Sreeram Mohan*, Painuri Thukaram**, Panduranga Rao*** Objective / Question: Ability to have least failures in products on the field with minimum effort from the manufacturers is a major area of focus driven by Industry 4.0 initiatives. Amidst traditional methods of performing system / subsystem level tests often does not enable the complete coverage of a machine health performance predictions. This paper highlights a workable workflow that could be used as a template while considering system design especially employing Digital Twins that help in mimicking real-life scenarios early in the design cycle to increase product’s reliability as well as tend to near zero defects. Methodology: With currently available disruptive technologies , systems are integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction.
Introduction: The advent of electric mobility is changing the conventional mobility techniques and their application in automobiles across all segments. Three wheeler Battery Operated Vehicles (BoVs) are a special category of electric vehicles (EVs) as far as EMC compliance is concerned. The problem mainly lies with the open body design and cost cutting measures being exercised by the manufactures which makes Electromagnetic compatibility (EMC) compliance challenging. Objective: Though it is sometimes possible to resolve EMC malfunctions related to motor power cable, cables & wiring harness etc. using external techniques post design stage, but controller being a closed and typical element makes it difficult to improve against EMC malfunctions using external techniques. This paper would concentrate on the controller design parameters and improvement of the same in terms of Electromagnetic compatibility (EMC) and performance efficiency at the design stage itself.
The SRM is gaining much interest for EVs due to its rare-earth-free characteristic and excellent performance. SRM possess several advantages such as low cost, high efficiency, high power density, fault-tolerant and it can produce extended constant power region, and this makes SRM as viable alternative over conventional PM drives. Objective: The objective of this paper is to establish proof of theoretical concepts related to SRM. The key to achieve an effective SRM modeling is to use a methodology that allow the nonlinearity of its magnetic characteristics to be represented while maximizing the simulation speed. This paper represents how magnetization data obtained from FEA in the form of look up tables is most appropriate way to represent SRM model. In this paper, performance analysis of SRM is done with the help of Open loop and Closed loop MATLAB simulations. These dynamic simulations of SRM will assist in understanding behavior of SRM in various loading and speed conditions.
Authors: Udit Kaul, Mahendarpal and Madhusudan Joshi Organization: International Centre for Automotive Technology, Manesar Introduction: In this paper, a study concerning multi-point CNG injectors (MPCI) or commonly known as injector rail would be presented. Here we would make a detailed analysis regarding the performance of MPCIs due to variation in physical and electrical parameters. In this case multiple MPCIs would be considered and there electrical and dimension parameters would be compared with respect to their performance. The performance comparison would be done based on the common compliance standard under standard laboratory conditions. We would also like to propose the optimal combination of electrical and dimension parameters for better performance. The variables to be considered for the proposed study are: injector valve open/shut timing, injector dimension, voltage levels, solenoid types etc. Key words : multi-point CNG injectors, injector valve, solenoid