This research aims to obtain the optimal honeycomb hybrid crash box design. Finite elements, parametric studies, and multi-objective optimization are carried out sequentially. Parametric studies important parameters increase energy absorption minimize mass. The effect of structure angle, side length, thickness selected as design parameter. Energy mass observed responses. Based on results, it ca...

Abstract The primary goal of the current study is to optimise crash box designs for automobiles. Machine learning (ML) techniques are used build an intelligent and reliable ML framework. With help this framework, design can be optimised crashworthiness analysis. optimisation resource‐intensive due its intricate geometric design, use a variety materials, extensive dynamic simulations determine i...