Abstract: In today’s automotive industry CAE is very useful for predicting fatigue failures during design phase. But due to many constrains of CAE model and manufacturing process correlation in some cases may vary. From business point of view it is always desirable to have 100% correlation so that in later stage of the project while doing physical validation design change is minimum. As we know CAE cannot replace experiments hence we should always try to achieve better correlation. In this paper we will discuss about the CAE pre-process, solution, material properties, manufacturing formability, part quality, assembly process and environmental factors for better correlation as these factors are very critical from correlation point of view. By managing these critical factors within desired tolerance we can maximize correlation.
Keywords: Catia-V5, Abacus, FATFEM.
Title: CAE Correlation Optimization of Automobile Body Structure Fatigue Failure
Author: Pranjal Das
International Journal of Mechanical and Industrial Technology
ISSN 2348-7593 (Online)
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