Multi-objective optimization of industrial washing machine under extreme working load conditions

Abstract

To solve the engineering problems of severe vibration in the dehydration stage, insufficient reliability of load-bearing components, and the difficulty in balancing lightweight design and dynamic performance of industrial washing machines, mechanical performance analysis of key load-bearing components and optimization of vibration isolation systems were conducted. Dynamic modeling, finite element simulation and multi-objective optimization methods were integrated under extreme working load conditions. The dynamic model of the vibration isolation system was established by the Lagrange method. The rigid-flexible coupling simulation model of the cabinet and the refined finite element model of the inner cylinder were constructed. The Kriging surrogate model was adopted to fit nonlinear correlations between structural design variables and mechanical responses. Optimization results quantitatively demonstrate that the cabinet achieves an 11.0 % weight reduction and the inner cylinder realizes a 9.8 % mass cut without exceeding the original maximum stress and fundamental frequency constraints. After optimizing the matching of suspension spring stiffness and damping coefficient, the resonance peak amplitude of the inner cylinder center of mass vibration decreased by 58 %, effectively suppressing the equipment resonance amplification phenomenon and improving the dehydration stability and efficiency. This study provides a complete simulation-surrogate multi-objective optimization workflow for heavy laundry equipment bearing structures and vibration isolation systems under extreme service loads.