Structure Optimization for Hydraulic Press Based on Approximate Model
A method of structure optimization for hydraulic press is proposed in order to reduce mass while assuring adequate stiffness. Upper beam and lower beam are determined as optimal objects by mass analysis. Key geometric parameters of upper beam and lower beam which have relatively larger impacts on mass and stiffness are extracted as design variables. In order to research relationship between stiffness, mass and design variables, command batch file is built by python language to implement automatic finite element analysis in ABAQUS. Orthogonal experimental design is used to generate samples of design variables. Calculating data are dealed with second order stepwise regression and mathematical model for structure optimization is established by regression equations. The goal of structure optimization is to decrease total mass of hydraulic press while assuring adequate stiffness. Particle swarm optimization is used to solve the mathematical model. The total mass of hydraulic press is decreased by 3.1% and its stiffness is adequate to ensure the forming precision when solving process is finished.