Research about Dynamic Performance Prediction for Layout Structure of Globoidal Cam Machine

Y.Y. Yao; Li Ping Zhao; Guang Zhou Diao; Hu Zhao; Pen Yan

doi:10.4028/www.scientific.net/AMM.607.321

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 607Research about Dynamic Performance Prediction for...

Research about Dynamic Performance Prediction for Layout Structure of Globoidal Cam Machine

Abstract:

Aiming to the layout structure design and performance prediction for globoidal cam machine, a dynamic performance prediction method for machine layout structure is proposed in this paper. With the method, the motion transmission and layout structure are determined based on the mapping rules between function and structure. The prediction model for dynamic performance is established based on BP neural network, which is used to optimize the dynamic performance of layout structure for globoibal cam machine.

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Periodical:

Applied Mechanics and Materials (Volume 607)

Pages:

321-324

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.607.321

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Online since:

July 2014

Authors:

Y.Y. Yao*, Li Ping Zhao, Guang Zhou Diao, Hu Zhao, Pen Yan

Keywords:

BP Network, Globoidal Cam, Kinematics, Layout Structure

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* - Corresponding Author

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