Most complex systems are moving toward a “smart” solution, with automated methods for identifying and diagnosing problems. This course will explore how efficient systems can be designed in an effective manner to ensure that they meet performance requirements. Because predictive maintenance is important to the aerospace industry, this course will address systems engineering (SE) and review prognostic health management (PHM) and explain how you can utilize them to obtain a better system. Additionally, it will address requirements management; model-based design; and verification and validation
A new appraisal of the thermomechanical behaviour of a hybrid composite brake disc in a formula vehicle Research Objective This paper presents a hybrid composite brake disc with reduced Un Sprung Weight clearing thermal and structural analysis in a formula vehicle.Main purpose of this study is to analyse thermomechanical behaviour of composite brake disc for a formula vehicle under severe braking conditions. Methodology In the disk brake system, the disc is a major part of a device used for slowing or stopping the rotation of a wheel. Repetitive braking of the vehicle leads to heat generation during each braking condition. Based on the practical understanding the brake disc was remodelled with unique slotting patterns and grooves, using the selected aluminium alloy of (AA8081) with reinforcement particle of Silicon carbide (SiC) and Graphite (Gr) as a hybrid composite material for this proposed work.
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.
In current automobile market, due to the need of meeting future CO2 limits and emission standards, demand for hybrid systems is on the rise. In general, the requirements of modern automobile architecture demands modular chassis structure to develop vehicle variants using minimum platforms. The multi-link modular suspension system provides ideal solution to achieve these targets. To match ideal stiffness characteristics of system with minimum weight, aluminum links are proving a good alternative to conventional steel forged or stamped linkages. Design of current 2-point link (Upper Control Arm) is based on elasto-kinematic model developed using standard load cases from multi body dynamics. CAD system used is CATIA V5 to design upper control arm for rear suspension. This arm connects steering knuckle & rear sub frame. For Finite Element Analysis we used Hyperworks CAE tool to analyze design under all load cased & further optimization is done to resolve highly stressed zones.
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.