MODELING, SIMULATION AND OPTIMIZATION ANALYSIS OF STEERING KNUCKLE COMPONENT FOR RACE CAR
Light weight and low fuel consumption are the two main demands for a vehicle, particularly for a race car. Steering knuckle, as one of the critical components of a race car, is the main subject in the present study. A light weight and optimized design of steering knuckle is proposed to be used for an EIMARace race car; a small high-performance formula-style car, with suitable material selection as well as valid finite element analysis and optimization studies. First part of this study involves modeling of steering knuckles and analysis of the stresses and displacement under actual load conditions. A CAD and FEA software; SolidWorks, is applied for modeling as well as for static analysis studies. Shape optimization is the second part of this study, utilizing solid Thinking software from Altair Engineering packages. The improved design obtained had achieved 45.8% reduction of mass while meeting the strength requirement.
Design and Evaluate A Model of Vehicle Suspension System by Using Fem
The suspension system assists the vehicle's braking system in terms of safety, driving pleasure and passenger comfort when driving without road noise, bumps or vibrations. If the roads were perfectly smooth, a vehicle suspension system would not be necessary. As a result, the wheel of the machine undergoes a sudden vertical movement as it moves over the bumps. To improve the stability of the suspension system design multiple spring in vehicle suspension system and the design multiple spring in vehicle suspension system for different materials to enhance the results. Final conclusion of the analysis the Titanium Ti-6Al-4V is the much batter material than other two materials Cast iron and titanium Ti-13V-11Cr-3Al.  Because the yield stress of Titanium Ti-6Al-4V is higher the titanium Ti-13V-11Cr-3Al. And the density of the Titanium Ti-6Al-4V was lower than cast iron and titanium Ti-13V-11Cr-3Al.
Reliability-based design optimization of knuckle component using conservative method of moving least squares meta-models
Abstract This paper discusses reliability-based design optimization (RBDO) of an automotive knuckle component under bump and brake loading conditions. The probabilistic design problem is to minimize the weight of a knuckle component subject to stresses, deformations, and frequency constraints in order to meet the given target reliability. The initial design is generated based on an actual vehicle specification. The finite element analysis is conducted using ABAQUS, and the probabilistic optimal solutions are obtained via the moving least squares method (MLSM) in the context of approximate optimization. For the meta-modeling of inequality constraint functions, a constraint-feasible moving least squares method (CF-MLSM) is used in the present study. The method of CF-MLSM based RBDO has been shown to not only ensure constraint feasibility in a case where the meta-model-based RBDO process is employed, but also to require low expense, as compared with both conventional MLSM and non-approximate RBDO methods.