Experimental Research the Cutting Force of the 40Cr Circular Cone Turning

Abstract:

In this paper,we conducted circular cone turning cutting force measurement test by using orthogonal test method and YDCD piezoelectric unidirectional turning dynamometer,then analyzed the orthogonal test results with the intuitive analysis method. A BP neural network model between the cutting speed,feed rate,cutting depth and the main cutting force is established by using Matlab neural network toolbox and then to be verified. The verification results show that the BP neural network circular cone turning cutting force prediction model has very high prediction accuracy.

• Periodical: Advanced Materials Research (Volumes 652-654)
• Pages: 2183-2186
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.652-654.2183
• Online since: January 2013
• Authors: Xing Hua Niu, Bao Chuan Hao, Li Qiang Cui, Si Yu Liu, Zhen Tao Zhang, Xian Li Meng
• Keywords: BP Neural Network (BPNN), Circular Cone Turning, Cutting Force

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