Topography Optimization of Heavy-Duty Crankshaft Based on Response Surface Method and Multi-obiective Genetic Algorithm
The heavy-duty crankshaft is one of the key components of the power end of a large-scale diaphragm pump,and its strength is critical to the smooth operation of the entire power end.Moreover,the failure form of the heavy-duty crankshaft is often fa-tigue damage caused by stress concentration at the fillet.To solve this problem,the morphology of the crankshaft was from the perspec-tive of the structural characteristics of the fillets.The most dangerous working condition during the operation of the crankshaft was deter-mined by the static strength stress analysis,which was used as the calculation condition for the subsequent optimization.Then,the maxi-mum stress value at each fillets and the maximum deformation of crankshaft were taken as the optimization objectives,the structural pa-rameters at the fillet were taken as the design variables for the experimental design.According to the experimental results,the response surface model of the optimization objective with respect to the design variables were constructed based on Kriging interpolation method.Finally,a multi-objective optimization model were established and the multi-objective genetic algorithm was applied to find non-domi-nated set of solution.The final results show that the inclined angle of the inclined planes at crank arms of crankshaft after topography op-timization is close to 90°,which provides a certain reference for the structural design of heavy-duty crankshaft in the future.
万方数据
维普
