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Improved force prediction model for grinding Zerodur based on the comprehensive material removal mechanism
Sun, Guoyan1,2; Zhao, Lingling3; Zhao, Qingliang4; Gao, Limin1; Sun, GY (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Department光学定向与测量技术研究室
2018-05-10
Source PublicationAPPLIED OPTICS
ISSN1559-128X
Volume57Issue:14Pages:3704-3713
Contribution Rank1
Abstract

There have been few investigations dealing with the force model on grinding brittle materials. However, the dynamic material removal mechanisms have not yet been sufficiently explicated through the grain-workpiece interaction statuses while considering the brittle material characteristics. This paper proposes an improved grinding force model for Zerodur, which contains ductile removal force, brittle removal force, and frictional force, corresponding to the ductile and brittle material removal phases, as well as the friction process, respectively. The critical uncut chip thickness alpha(gc) of brittle-ductile transition and the maximum uncut chip thickness alpha(gmax) of a single abrasive grain are calculated to identify the specified material removal mode, while the comparative result between alpha(gmax) and alpha(gc) can be applied to determine the selection of effective grinding force components. Subsequently, indentation fracture tests are carried out to acquire accurate material mechanical properties of Zerodur in establishing the brittle removal force model. Then, the experiments were conducted to derive the coefficients in the grinding force prediction model. Simulated through this model, correlations between the grinding force and grinding parameters can be predicted. Finally, three groups of grinding experiments are carried out to validate the mathematical grinding force model. The experimental results indicate that the improved model is capable of predicting the realistic grinding force accurately with the relative mean errors of 6.04% to the normal grinding force and 7.22% to the tangential grinding force, respectively. (C) 2018 Optical Society of America.

SubtypeArticle
Subject AreaOptics
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1364/AO.57.003704
Indexed BySCI ; EI
WOS KeywordSUBSURFACE DAMAGE ; SURFACE-ROUGHNESS ; THERMAL-EXPANSION ; GLASS ; CERAMICS ; SIZE
Language英语
WOS Research AreaOptics
Funding OrganizationNational Natural Science Foundation of China (NSFC)(51475109) ; Natural Science Foundation of Shandong Province(ZR2014EEP025)
WOS SubjectOptics
WOS IDWOS:000431880000011
EI Accession Number20182005196643
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30098
Collection光学定向与测量技术研究室
Corresponding AuthorSun, GY (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Shandong Univ Technol, Sch Mech Engn, Zibo 255000, Peoples R China
4.Harbin Inst Technol, Sch Mechatron Engn, Ctr Precis Engn, Harbin 150001, Heilongjiang, Peoples R China
Recommended Citation
GB/T 7714
Sun, Guoyan,Zhao, Lingling,Zhao, Qingliang,et al. Improved force prediction model for grinding Zerodur based on the comprehensive material removal mechanism[J]. APPLIED OPTICS,2018,57(14):3704-3713.
APA Sun, Guoyan,Zhao, Lingling,Zhao, Qingliang,Gao, Limin,&Sun, GY .(2018).Improved force prediction model for grinding Zerodur based on the comprehensive material removal mechanism.APPLIED OPTICS,57(14),3704-3713.
MLA Sun, Guoyan,et al."Improved force prediction model for grinding Zerodur based on the comprehensive material removal mechanism".APPLIED OPTICS 57.14(2018):3704-3713.
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