Abstract
Planetary gear reducer has a lot of advantages,such as high transmission and efficiency, compact structure, and has a variety of applications in construction machinery and equipment, hoisting and conveying machinery and so on,.The optimization design of the planetary gear train could make the volume at minimum(as well as the weight at minimum) under the conditions of carrying capacity.This paper focus on the optimization of two stage planetary gear train with the differential evolution algorithm, based on Mathmatica. The author established mathematical model and source program is present in this paper. After the optimization, the author verifies the optimal result, including the contact fatigue stress and tooth bending strength fatigue stress. The verification infers that the optimization based on Mathmatica with differential evolution algorithm is effective and correct.
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Chen, T., Zhang, Z., Chen, D., Li, Y. (2013). The Optimization of Two-Stage Planetary Gear Train Based on Mathmatica. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_11
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DOI: https://doi.org/10.1007/978-3-642-37015-1_11
Publisher Name: Springer, Berlin, Heidelberg
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