Multi‐Objective Optimization for the Cross Brace of a Computer Numerical Control Gantry Machine Tool Based on Intelligent Algorithms

A multi-objective optimization design method for the cross-brace structure of a computer numerical control gantry machine tool is proposed to improve mechanical performance. Dynamic and static performance indexes cross brace are analyzed. On basis sensitivity analysis, size parameters which have great influence on mass dynamic selected as variables optimization. Objective values under obtained by orthogonal experimental method, an objective function fitted response surface method. After verifying fitting effect function, entropy weight used calculate coefficient each objective, comprehensive model built. Accelerated particle swarm (APSO) intelligent algorithm solve model. Comparison results before after show that optimized reduced 8.377%, maximum stress 13.252%, first-order natural frequency increased 2.183%. The provides new idea while reducing its mass.