An Optimal Design Method for Energy-Saving Structure Based on Genetic Algorithm and Finite Element Analysis

摘要

Vulcanizing forming mould is considered to be one of the key elements to determine the quality of compound rubber bearings, to make up for the shortcomings of empirical design methods in the design of vulcanizing forming mould. A new approach is put forward to achieve the optimal design of temperature field by integrating the genetic algorithm (GA) and finite element analysis (FEM). Firstly, the mathematical model of the temperature difference of the inner surface of the mould is established according to the principle for linear superposition of steady state heat transfer. Then different optimization schemes are designed as to the specific working conditions. Subsequently, the GA is used to optimize the structure and power distribution of the electric heating pipe as two variables. Finally, the FEM takes over the job to complete the analysis on the design results. The results show that the optimal design results are in agreement with the numerical simulation results, by which the effectiveness of the method is proved.