Abstract: The finite element software ANSYS needs to be run repeatedly in the excavator boom structure optimization process,making the optimization process cumbersome and inefficient. To address this problem, an intelligent optimization model for four typical stress conditions of the excavator boom was proposed. Stress census section was determined through setting rules in optimal design software of excavator boom and establishing a stress prediction model for the excavator boom based on BP network. The small and medium excavator booms were used as examples and stress prediction models were established to improve the optimization efficiency of the boom structure. The results show that predict stress was in consistent with the experimental data with error less than 6.08 %.

Key words: excavator boom, stress census, stress characteristic section, BP neural network, stress prediction