Multiresolution Topology Optimization Method for Beams Under Complex Loading Conditions
To improve the stiffness of the crossbeam structure of machining centers under complex loading conditions,this study proposes a topology optimization method that can effectively reduce the computational scale of the model and achieve high solution accuracy.Firstly,topology optimization problems,such as ma-chining center beams,which are structurally complex and have large solution scales,are analyzed.It is found that multiresolution topology optimization methods can significantly reduce the computational cost of these problems.Secondly,in order to further enhance computational efficiency,the self-adaptive sensitivity partitioning technique is incorporated into the multiresolution topology optimization method.This results in the proposal of a self-adaptive sensitivity partition and multiresolution topology optimization method,which specifically addresses inefficient discrete regions during the model topology updating process.This aims to further reduce the computational scale of the model.Finally,the multiresolution topology optimization with self-adaptive sensitivity partitioning was compared to the traditional optimization method in the multiple loading conditions optimization of machining center beams.It was found that,with the same number of ele-ments,the computational speed of the new topology optimization method was improved by approximately 8 times compared to the traditional topology optimization method.
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维普
