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发表时间：2022-10-10

发表刊物：复合材料学报

所属单位：机械工程学院

期号：3

页面范围：516-524

ISSN号：1000-3851

摘要：In machining of carbon fiber reinforced polymer (CFRP), the matrix phase is easy to fail due to the excessive cutting force, which extends to the underneath of machining surface and forms damage rapidly. For the precise prediction and control of cutting force, we established an artificial neural network cutting force model based on the experimental cutting force data to predict the cutting force change rule in machining CFRP under different fiber orientations, cutting depths and tool angles. Orthogonal cutting experiments on CFRP unidirectional laminate of typical fiber orientation with different tool angles and cutting parameters were conducted to verify the predicting model, and the predicting precision is up to 85%. Combined with the online microscopic prediction results of chip forming process, it is concluded that the fiber orientation is the primary factor affecting the cutting forces of CFRP, as varies from 0° to 135°, chip formation ways include the crushing-dominated failure type and bending failure type; the cutting force firstly decreases and then increases as the fiber orientation angle increases, and is maximum at 135°; the cutting force increases generally as cutting depth increases. © 2016, BUAA Culture Media Group Ltd. All right reserved.

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