To solves the problems of large computation

low precision and complicated operation during optimization of gear modification

an algorithm for optimization of gear modification was proposed based on Kriging model and genetic algorithm. Taking spur gear drive as the research object

optimization of gear modification was carried out. Firstly

in order to solve the problems of multiple responses and implicit function during optimization of gear modification

Kriging model was established by using Latin sampling method. Compared with the gear engaged stiffness of Kriging prediction and finite element

it was shown that the maximum errors of predicted stiffness parameters were 7.79×10-5

1.20×10-3 and 1.30×10-4 respectively

therefore

the precision of Kriging multiple prediction was validated. Secondly

Kriging prediction was applied to dynamical differential equation of spur gear

and then fluctuation of dynamic transmission error was regarded as the goal of genetic algorithm optimization

so optimal parameters of gear modification was obtained. Example showed that the proposed method was better than ISO(International Standardization Organization) modification and no modification

therefore

the efficiency and correctness of the gear modification by using genetic algorithm and Kriging model was validated. Compared with gear modification by using finite element directly

the cost time of the proposed method changed from 26.91d to 2.24h

so the computational efficiency of the proposed method was verified.