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	An improved chip-thickness model for surface roughness prediction in robotic belt grinding considering the elastic state at contact wheel-workpiece interface
	Qu, Chao; Lv, Yuanjian; Yang, Zeyuan; Xu, Xiaohu; Zhu, Dahu; Yan, Sijie
刊名	International Journal of Advanced Manufacturing Technology
	2019
卷号	104期号:5-8
ISSN号	0268-3768
DOI	10.1007/s00170-019-04332-7
URL标识	查看原文
收录类别	EI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4262488
专题	武汉大学
推荐引用方式 GB/T 7714	Qu, Chao,Lv, Yuanjian,Yang, Zeyuan,et al. An improved chip-thickness model for surface roughness prediction in robotic belt grinding considering the elastic state at contact wheel-workpiece interface[J]. International Journal of Advanced Manufacturing Technology,2019,104(5-8).
APA	Qu, Chao,Lv, Yuanjian,Yang, Zeyuan,Xu, Xiaohu,Zhu, Dahu,&Yan, Sijie.(2019).An improved chip-thickness model for surface roughness prediction in robotic belt grinding considering the elastic state at contact wheel-workpiece interface.International Journal of Advanced Manufacturing Technology,104(5-8).
MLA	Qu, Chao,et al."An improved chip-thickness model for surface roughness prediction in robotic belt grinding considering the elastic state at contact wheel-workpiece interface".International Journal of Advanced Manufacturing Technology 104.5-8(2019).

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