Multi-material optimal design of miura origami folds based on genetic algorithm

Based on the theoretical model of Miura origami, this paper uses Python and Abaqus software to optimize the design of multi-material positions at the crease of Miura origami by using a genetic algorithm. Firstly, the parametric modeling of Miura origami is carried out; then linear cell meshing is performed at the origami crease, and polylactic acid (PLA) and thermoplastic polyurethane (TPU) are selected as the optimized materials; finally, the multi-material position distribution is optimized by the genetic algorithm according to the target value, to search for the optimal distribution of the materials. Therefore, the angular displacement of the Miura origami model under the thermal drive meets the desired target value. This method solves the problem of finding the optimal multi-material distribution design under the target deformation and provides important ideas and references for the design of space expandable mechanisms simultaneously.