Modeling and Analysis of Plunge Milling Force Based on Orthogonal Experiment

Abstract:

Plunge milling force experiment was designed based on the method of orthogonal experiment, selecting Cr12 mold steel as the experimental material for obtaining the measurement data. Combined with the experimental data, the empirical formula of the milling force model and BP neural network model were established respectively. The two types model are analyzed and compared. The results show that the BP neural network model has a better prediction effect than traditional empirical formula.

• Periodical: Applied Mechanics and Materials (Volume 391)
• Pages: 372-375
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.391.372
• Online since: September 2013
• Authors: Xing Hua Niu, Xian Li Meng, Zhen Tao Zhang, Rui Zhao, Bo Fei Shen
• Keywords: BP Neural Network (BPNN), Milling Force, Plunge Milling

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