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Materials Research Innovations Volume 19, 2015 - Issue sup5: Global Conference on Materials Science and Engineering (CMSE 2014)
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Research Papers

Reliability evaluation and analysis of grinding process based on machining physics

Z. LuSchool of Reliability and Systems EngineeringBeihang University, 100191Beijing, China
,
W. DaiSchool of Reliability and Systems EngineeringBeihang University, 100191Beijing, ChinaCorrespondence[email protected]
&
Y. ZhaoSchool of Reliability and Systems EngineeringBeihang University, 100191Beijing, China
Pages S5-1065-S5-1069 | Received 20 Oct 2014, Accepted 18 Dec 2014, Published online: 30 May 2015

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Nguyen DuyTrinh, Yin Shaohui, Nguyen Nhat Tan, Phung Xuan Son & Le Anh Duc. (2019) A new method for online monitoring when grinding Ti-6Al-4V alloy. Materials and Manufacturing Processes 34:1, pages 39-53.
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Articles from other publishers (2)

Li Sun, Xiaodie Ren, Honggen Zhou, Guochao Li, Weibin Yang, Junjie Zhao & Yinfei Liu. (2022) Machining Quality Prediction of Marine Diesel Engine Block Based on Error Transmission Network. Machines 10:11, pages 1081.
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Guizhong Tian, Wei Zhang, Zhengyu Ma, Honggen Zhou, Xuwen Jing & Guochao Li. (2019) Modeling and Analysis of the Reliability of Machining Process of Diesel Engine Blocks Based on PFMECA. IEEE Access 7, pages 124759-124773.
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