NDLI: Experimental research material characteristics effect on white layers formation in grinding of hardened steel

Content Provider	Springer Nature Link
Author	Huang, Xiangming Zhou, Zhixiong Ren, Yinghui Mao, Cong Li, Wei
Copyright Year	2012
Abstract	Many studies have been performed on the formation of white layer. However, little study has been done to investigate the effects of material characteristics on the formation and thickness of white layer. In this study, grinding experiments are carried out by using four different steels (hardened and annealed) as workpiece material. The specimens are analyzed using a microhardness tester and an optical microscope. The experiments indicate the depth of white layer increases with the carbon content of workpiece materials. There is a critical carbon content (about 0.77 %) associated with thick white layer. Microhardness of white layer increases with the carbon content in hardened steel. A higher hardness is observed in the hardened steel than that in annealed steel, while there is not a softer transition zone in the annealed steel. White layer varies with the different combinations of grinding parameters. White layer thickness increases with the grinding depth and wheel speed. Based on experimental data, nonlinear regression statistical models are proposed to predict white layer thickness during grinding.
Starting Page	1555
Ending Page	1561
Page Count	7
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	66
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-08-18
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Grinding process Material characteristics White layer Microhardness Statistical model Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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