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This study presents the comparison of vehicle handling performance results obtained using physical test tire data and a tire model developed by means of Finite Element Method. Real tires have been measured in laboratory to obtain the tire force and moment curves in terms of lateral force and align torque as function of tire slip angle and vertical force. The same tire construction has been modeled with Finite Element Method and explicit formulation to generate the force and moment response curves. Pacejka Magic Formula tire response models were then created to represent these curves from both physical and virtual tires. In the sequence, these tire response models were integrated into a virtual multibody vehicle model developed to assess handling maneuvers.

For many years, the computer aided math model has been the foundation for lowering cost and reducing time to market for many manufacturing industries. The automotive industry applies a variety of tools and methods to evaluate the expected vehicle performance to a forever expanding set of requirements. These mathematical predictions of performance are then repeated for both a set of design cycles and a multitude of vehicles in the product portfolio. This paper presents a CAE perspective of the unique problems of the large scale virtual vehicle engineering factory and a set of solutions. Different strategies to create the various complex math models required are explored. These strategies include using COTS FEA pre-processers, producing FEA models internal to the CAD tools, as well as custom built tools, macros and process automation tools.

This paper will present the Systems Engineering perspective of HTC (High Throughput Compute) architecture for rapid meshing and assembly that resembles HPC (High Performance Compute) cloud architecture. The architectural framework addresses the modeling requirements in CAE (Computer Aided Engineering) and CFD (Computational Fluid Dynamics) domains. The architecture for building a rapid modeling framework is discussed along with a brief description of the procedure to create one such application. Meshing and preparing the math model for CAE/CFD analysis is a time and computation intensive process. Reducing the meshing and model preparation time increases the possible number of analysis iterations before the final design intent model is finalized. The HTC architecture helps in relieving the effort of redevelopment for changing business requirements and provides the flexibility to meet the evolving needs of engineering.