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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
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No.9 Gaoguannong,Daxue Road,Hangzhou,China
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310009
E-mail:
meem_contribute@163.com
Abstract: When the static analysis and genetic algorithm were combined to design and optimize the reducer, the inertia force caused by acceleration was not considered for the wheel-side reducer which bears large torque in transmission. Aiming at the problem of weak strength of the secondary gear group of the original main gear group of the electric driven rescue wheel side reducer, the gear of the second gear set of the main reducer was designed and optimized, and the problem of weak strength of the second gear set of the original reducer was solved.Firstly, the 3D modeling design of main wheel reducer was carried out according to the basic data of the main wheel reducer, and then the corresponding constraint conditions were added to the designed model for transient dynamics simulation analysis. It was found that the strength of the two-stage gear group was weak. Then, the Monte Carlo algorithm was used in coordination with macro and micro-optimization to optimize the data of the two stage gear parameters, such as helix angle, pressure angle and normal surface modulus. Finally, the two-stage gear group of the reducer was modeled and simulated with the obtained optimization data, and the reliability of the optimization was determined by the simulation analysis results. The results show that the linear transmission error of gear in the second gear set of the reducer is reduced by 59.38%,and the maximum stress at the root is reduced by 14.3% after optimization. The contact impression, contact load and maximum contact stress at the root are optimized, and the service life of gear is improved as a whole.
Key words: gear transmission; Monte Carlo optimization algorithm; linear transmission error; gear set strength; tooth surface contact load; transient dynamics simulation analysis
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