Optimal design of bearing housing based on response surface method and MOGA

As a core component of the belt conveyor, the bearing housing of the driving drum has long been faced with the problem of material redundancy caused by the traditional empirical design method. Aiming at the extreme load condition where the resultant force of the driving drum of the belt conveyor in the main inclined shaft of a certain coal mine is 4, 800 kN, this paper constructs a parametric model of the Bearing Housing Body of the driving drum. The Kriging model of the seat body response surface is established through the Ansys simulation data and combined with the multi-objective genetic algorithm for optimization. Lightweight design is achieved on the premise of ensuring stress and deformation. After optimization, the weight of the Bearing Housing Body is reduced by 25.9%. Through simulation verification, the optimized scheme effectively solves the problem of material redundancy existing in the traditional design, providing a technical reference for the design options of key components of ultra-large belt conveyors.