A prediction model of thrust force for drilling of bidirectional carbon fiber-reinforced carbon matrix composites.
A prediction model of thrust force for drilling of bidirectional carbon fiber-reinforced carbon matrix composites.
复制标题
双向碳纤维增强碳基复合材料钻孔推力预测模型
DOI:
10.1177/0036850420925228
复制
发表时间:
2020-04
期刊:
影响因子:
2.1
通讯作者:
Qin, Kaifeng
中科院分区:
文献类型:
--
作者:
Shan, Chenwei;Zhang, Shengnan;Zhang, Menghua;Qin, Kaifeng
Carbon fiber–reinforced carbon matrix composites have been widely used for the manufacturing of thermostructural parts for several industries such as the aerospace and automotive. Drilling is an extremely common method used in the machining of carbon fiber–reinforced carbon matrix composites before assembly. However, their non-homogeneous, anisotropic, and brittle nature make difficult to guarantee the hole quality in drilling. Some severe drilling defects, such as burrs, delamination, and tear, usually occur. In this regard, it is necessary to accurately predict the thrust force in drilling of carbon fiber–reinforced carbon matrix composites. Therefore, in this article, based on the cutting theory of fiber-reinforced polymer composites, an alternative thrust force prediction model for drilling of bidirectional carbon fiber–reinforced carbon matrix composites is proposed. The cutting force of the cutting lips is established by dividing the cutting deformation zone into three regions according to the machined material structure based on the Zhang’s model in cutting of fiber-reinforced polymer. The periodic variation of fiber orientation is considered in detail. The experimental results show that the relative deviations of the predicted and experimental values of the thrust force are less than 14.36%.
登录
查看更多内容
DOI:
10.1016/s0890-6955(96)00095-8
发表时间:
1997-08-01
影响因子:
14
作者:
Chen, WC
通讯作者:
Chen, WC
DOI:
10.1016/s0890-6955(98)00050-9
发表时间:
1999-04-01
影响因子:
14
作者:
Elhachimi, M;Torbaty, S;Joyot, P
通讯作者:
Joyot, P
DOI:
10.1016/j.ijmachtools.2005.08.015
发表时间:
2006-10-01
影响因子:
14
作者:
Tsao, C. C.
通讯作者:
Tsao, C. C.
DOI:
10.1007/s00170-017-0653-y
发表时间:
2017-11-01
影响因子:
3.4
作者:
Shan, Chenwei;Dang, Jie;Zhang, Xu
通讯作者:
Zhang, Xu
影响因子:
2.9
作者:
Shokrieh, MM;Lessard, LB
通讯作者:
Lessard, LB