Multimaterial Topology Optimization for Crashworthiness Using Hybrid Cellular Automaton 2019-01-0826
Structures with multiple materials have now become one of the imminent necessities for automotive industries to address the vehicle design requirements such as light-weight, safety, and cost. The objective of this study is to develop a design methodology for multi-material structures accountable for vehicle crash durability. The heuristic topology synthesis approach of hybrid cellular automaton (HCA) framework is implemented to generate multi-material structures with the total control on the volume fraction of the final designs. The HCA framework is integrated with other prominent sections of the topology synthesis algorithm such as Ordered SIMP, artificial material library, and material distribution data statistics to ensure a smooth transition between multiple practical materials during the topology synthesis. Since the proposed method does not rely on additional variables to represent material selection, the computational cost of this method is independent of the number of desired materials. The preliminary dynamic simulation of a sphere ball impacting an armor plate is illustrated to evaluate the multi-material topology synthesis algorithm. Furthermore, the effectiveness of the proposed algorithm is further demonstrated by simulating the frontal crash on a car bumper with multiple practical materials. The practical materials are the different grades of steels with the same elastic properties and different yield strength and plastic hardening. The crash performance measures such as peak acceleration – displacement profiles of multi-material designs are compared with single material designs to conclude the results of the multi-material HCA framework.
Sajjad Raeisi, Prasad Tapkir, Andres Tovar, Chandan Mozumder, Simon Xu