Research On Topology Optimization Of Heat Transfer Structure Based On Precise Quality Control And Improved HCA Algorithm

With the integration and complexity of aerospace,mechanical and electronic information equipment,the heat dissipation performance of the structure is required to be higher and higher,and the related parameters affecting its performance are also more and more,and the thermal boundary conditions are more and more complex,so the traditional parameter empirical design has been difficult to meet the design requirements.Topology optimization method can actively solve the optimal heat dissipation structure according to the requirements of heat dissipation function,and realize the reasonable distribution of materials.It is not only conducive to the temperature control of the system,but also can scientifically control the amount of materials used and reduce the manufacturing cost.In this paper,the hybrid cellular automata(HCA)algorithm for heat transfer structure of isotropic materials is introduced,and the topology optimization system of heat transfer structure based on HCA algorithm is established.The system dynamically updates the density,thermal conductivity and other material parameters in LS-DYNA keyword file through MATLAB software,combined with SIMP interpolation model and HCA algorithm in variable density method,and realizes the topology optimization design of heat conduction structure.The feasibility and accuracy of the calculation results of the optimization system are verified by a simulation example.Secondly,aiming at the problem that the mass fraction of the calculated results can not converge to the target value accurately in the established optimization system,the key parameters affecting the mass fraction of the structure in HCA algorithm are determined through simulation experiments.Based on the original optimization system,a topology optimization system of heat transfer structure with precise quality control is established,which can make the mass fraction of the optimized structure converge to the target mass precisely.The feasibility and accuracy of the improved optimization system are verified by simulation examples,and the indexes of two different principles of quality control optimization system are compared.The results show that the topology optimization system based on golden section is better than that based on dichotomy.Finally,in view of the poor optimization effect of the traditional HCA algorithm on uniform heat generation conditions,a new optimization objective function-dissipation of heat transport capacity is proposed.The objective function used by the traditional HCA algorithm—heat generation rate is replaced by dissipation of heat transport capacity,and an improved HCA algorithm is proposed.By comparing the various indicators of the simulation results,it is found that the improved HCA algorithm can effectively improve the optimization results for uniform heat generation conditions.At the same time,the HCA algorithm based on PID control is proposed.The comparison between experiments and simulations verifies the feasibility and superiority of the improved HCA algorithm and the PID-controlled HCA algorithm.