Lightweight design of mining screw conveyor's belt screw shaft integrating parameterized finite element and response surface model
Since machinery optimization suffers from the implicit objective function and the low efficiency in the solutions,in this article,a method of optimization design is proposed,which integrates both the parameterized finite element and the response surface model(RSM).The mine screw conveyor's belt screw shaft is subject to the lightweight design,which is taken for in-stance to explore how to apply this method.In order to improve the efficiency in the finite-element modelling process,the APDL is used to set up the parametric finite-element model of the belt screw shaft,so as to complete the rapid FEA of the belt screw shaft with different dimensions.The design factors that significantly affect the belt screw shaft's stress distribution and fatigue life are selected by means of the factorial test,and the model of lightweight design is set up with both the structural strength and the fatigue life as the constraints.The RSM based on the optimized Latin hypercube sampling combined with the FE simulation results is used to identify the implicit relationship between the design factors and the objective function,and the Minitab response optimi-zer is applied to work out the optimum solution;as a result,the belt screw shaft's weight reduces by 15.4％.The analytical re-sults suggest that this method is desirable in terms of weight reduction,with short design cycle and high accuracy in calculation,which has ensured a high standard of efficiency in overall optimization.
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