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).
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.
Generally brake pads are manufacturing by use of asbestos materials, these materials are chemically harmful and toxic, affects human health. The present investigation fabricates polypropylene composites with mixing constant volume [5 Vol.%] of alumina nano particles and different volume percentages [0%, 5%, 10% & 15%] of basalt fibre by hand layup compression technique. The wear characteristics of polypropylene matrix composites were tested by dry sliding condition using pin on disc apparatus configuration with hardened steel counter-face at elevated temperature. The load was applied 30N to 70N with the interval of 20N and varying of sliding speed 300 rpm to 900rpm with the interval of 300rpm for the time period of 0-180 sec. The wear rate was decreases with addition of alumina nano particle and also increases the frictional force for the effect of basalt fibre content present in the composites. The co-efficient of friction was increases from 0.1 to 0.66 under normal loading condition.
The front of a car, though susceptible to the biggest impacts in terms of magnitude, has space and additional reinforcement to incorporate various safety measures. The rear has considerable amount of space to contain a proper crash box. The side of the car, though, doesn’t have this flexibility in design, the main limiting parameter being space. Any intrusion into the passenger cabin can result in serious injury or even death. The objective of this work is to improve the crashworthiness of a vehicle’s side so as to reduce intrusion into the passenger cabin. The work is focused on optimizing the door and B pillar. The optimized side panel is compared with the baseline model as per standard. ANSYS solver is used for the simulation. The optimized design applied to the door and B pillar will significantly improve crashworthiness of the vehicle side panel as a whole.
Currently automotive industry is facing bi-fold challenge of reduction in Greenhouse gases emissions as well as low operating cost. On one hand Emission regulations are getting more and more stringent on other hand there is major focus no customer value proposition. Engine blow by gases are one of the source of Greenhouse gases emission from engine. Blow by gases not only consist of unburn hydrocarbons but also carry large amount of oil. If oil is not separated from these gases, it will led to major oil consumption and hence increase total operating cost of Vehicle. In this paper, effort has been taken to develop a low cost closed crank case ventilation with oil mist separation system on diesel engine.
ENHANCE STRENGTH, ACCURACY AND PRECISION OF THE 3D PRINTED ASSEMBLY AID GAUGES Ramesh Kavalur1, Raghavendra Rao 1 1 Body in White, Manufacturing Engineering, General Motors Technical Centre India Pvt. Ltd, India, Keywords - Additive manufacturing, assembly aid gauges, 3D printer. Research Objective - Automotive manufacturing impressively implementing 3D printed jigs and fixtures. Traditional manufacturing of metal assembly aid gauges have limitations such as lead time and causes dent and rough marks on the outer panel of the body. On the other hand, 3D printed jigs and fixtures, demands more time (depends on complexity), have low level of precision and they offer lower strength. It is observed that this occurs because of the inefficient design and manufacturing without understanding the functionality and capability of the 3D printer.
Bus passenger safety has always been a concern considering various impacts like side impact, front impact, rollover etc. happening in real life scenarios. Various standards have been formulated for simulating these conditions and with respect to rollover, standards like ECE-R66 are being used to understand the superstructure strength. In India, we have AIS-052 (bus body code) and AIS-031 specific for bus rollover testing. AIS-119 has been published for rollover testing of sleeper coaches with modifications in the survival space creation in sleeper coaches for berths. With physical testing being more expensive, CAE simulations are being considered as vital option which also helps in design modification in a lesser time. This paper discusses the scope of numerical simulation of sleeper coach rollover using an explicit dynamic solver RADIOSS to understand the structure deformations, survival space clearances/intrusions.
Battery operated vehicle need accurate management system because of its quick changes in State of charge (SOC) due to aggressive acceleration profiles and regenerative braking. Li-ion battery needs control over its operating area for its safe working. So, the main objective of the proposed system is to develop a BMS having algorithms to estimate accurate SOC, predict degradation parameters, balance individual cells, manage cell temperature, and provide safe area of operation defined by voltage and temperature. Proposed methodology uses Model-based Design approach wherein nonlinear behavior of battery is modeled as Equivalent Circuit Model to compute the SOC and degradation effect on battery to decide the end of life of battery, also performing inductive Active balancing on cells to equalize the charge. proposed algorithms communicate with the vehicle ECU through CAN to assist the driver for runtime estimation, time for battery swapping, Alerts.
OBJECTIVE Race vehicles are designed to achieve higher lateral acceleration arising at cornering conditions. A focused study on the steady state handling of the car is essential for the analysis of such conditions. The transient response analysis of the car is also equally important to achieve best driver-car relationship and to quantify handling in the range suitable for a racing car. This research aims to investigate the design parameters responsible for the transient characteristics and optimize those design parameters. This research work examines the time-based analysis of the problem to truly capture the non-linear dynamics. Apart from tires, chassis can be tuned to optimize vehicle handling and hence the response times. METHODOLOGY To start with, the system is modelled with governing parameters and simulation is carried out to set baseline configurations. Steady state and transient handling simulations run independent of each other with independent logic, coded on MATLAB.
Nowadays, the major most challenge in the diesel engine is the oxides of nitrogen (NOx) and particulate matter (PM) trade-off, with minimal reduction in Power and BSFC. Modern day engines also rely on expensive after-treatment devices, which may decrease the performance and increase the BSFC. In this paper, combustion optimization and in-cylinder emission control by introducing the Split injection technique along with EGR is carried out by 1-D (GT-POWER) simulation. Experiments were conducted on a 3.5 kW Single-cylinder naturally aspirated CRDI engine at the different load conditions. The Simulation model incorporates detailed pressure (Burn rate) analysis for different cases and various aspects of ignition delay, premixed and mixing controlled combustion rate, the injection rate affecting oxides of nitrogen and particulate matter.