Research on Lightweight of Logistics Vehicle Frame Based on eGWO
In order to improve the convergence speed and accuracy of lightweight link of logistics vehicle frame,an improved Gray Wolf optimization algorithm(eGWO)based on the Gray Wolf strategy and quasi-re-flection learning strategy is proposed.The test results show that eGWO has good solving performance.Simu-lation analysis of full-load bending,full-load torsion,full-load braking and full-load steering conditions was carried out on the logistics vehicle frame.The optimal Latin Hypercube test design method and response sur-face model method were used to establish the approximate frame model,and eGWO was used to solve the mathematical model of the size optimization of the logistics vehicle frame.The total mass of the frame was re-duced by 11.9kg and the weight reduction rate was 9.94%.It provides a feasible method for the research of lightweight frame.
Swarm intelligent optimization algorithmGrey wolf optimizerFrame structureLightweight design
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