Research on Involute Gear Undercutting with Mechanical Mechanics Based on Neural Network

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Abstract:

This paper is based on the neural network nonlinear mapping characteristics. The involute gear tooth number, modulus and their relationship model of cutting the amount effect are established respectively. Through MATLAB simulation gets the relation curve between the number of teeth and modulus. These curves can intuitive reflect the tooth number and modulus effects on cutting amount change, which provides valuable theoretical reference for the design of the involute gear.

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92-95

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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