Bionic multi-objective optimization design of BFPC column structure
Taking the vertical CNC machine tool column as the research object,a new bionic configuration of Basalt Fiber rein-forced Polymer Concrete(BFPC)column structure was proposed.The finite element model of the machine tool column was es-tablished,and through the analysis of static and dynamic performance,based on the response surface method and genetic algo-rithm,the Latin hypercube experimental design was carried out on the design parameters that greatly affected the performance of the BFPC column,and the response surface model was established by sensitivity analysis,and the column mass,maximum static deformation and first-order natural frequency were selected as the optimization targets,and the Pareto optimal solution set was ob-tained by multi-objective genetic algorithm.The simulation results show that compared with the prototype column,the optimized column mass is reduced by 42.64％,the maximum static deformation is reduced by 20.98％,and the first-order natural frequency is increased by 2.99％.This optimization method significantly improves the static and dynamic performance of the column,achieves the design effect of light weight and optimal size,and can provide a reference for the optimal design of the column.
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