Optimization of friction and wear characteristics of varied cryogenically treated hot die steel grade AISI-H13 under dry condition

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	Optimization of friction and wear characteristics of varied cryogenically treated hot die steel grade AISI-H13 under dry condition
其他题名	Optimization of friction and wear characteristics of varied cryogenically treated hot die steel grade AISI-H13 under dry condition
	Katoch Sanjeev 1; Sehgal Rakesh 3; Singh Vishal 1
	2017
发表期刊	Friction
ISSN	2223-7690
卷号	5 期号:1 页码:66-86
摘要	Abstract Cryogenic treatment (CT) is a relatively new field, which has emerged during the last three decades of the twentieth century. However, its impact on material shaping and making tool life, and enhancement of their mechanical properties are quite remarkable. The selection of appropriate process parameters for CT is essential for cost reduction and optimum productivity. This study focuses on the influence of key parameters of CT cycles (i.e., soaking temperature and duration) on the friction and wear behavior of AISI H13 hot die steel under dry sliding conditions against hardened and tempered AISI D3 cold work tool steel (counter face) at varying sliding speeds and loads. Mathematical models have been developed for wear rate, the average coefficient of friction, and maximum contact temperature using the Box-Cox methodology. The developed mathematical models have been validated by comparing with the experimental results. Moreover, the optimum values of the process parameter have been employed to maximize the output and validate the same by confirmation of the experiments. To the best of our knowledge, this is the first study that demonstrates the modeling and optimization of sliding friction and wear characteristics of AISI H13 under varied CT cycles.
其他摘要	Cryogenic treatment (CT) is a relatively new field, which has emerged during the last three decades of the twentieth century. However, its impact on material shaping and making tool life, and enhancement of their mechanical properties are quite remarkable. The selection of appropriate process parameters for CT is essential for cost reduction and optimum productivity. This study focuses on the influence of key parameters of CT cycles (i.e., soaking temperature and duration) on the friction and wear behavior of AISI H13 hot die steel under dry sliding conditions against hardened and tempered AISI D3 cold work tool steel (counter face) at varying sliding speeds and loads. Mathematical models have been developed for wear rate, the average coefficient of friction, and maximum contact temperature using the Box-Cox methodology. The developed mathematical models have been validated by comparing with the experimental results. Moreover, the optimum values of the process parameter have been employed to maximize the output and validate the same by confirmation of the experiments. To the best of our knowledge, this is the first study that demonstrates the modeling and optimization of sliding friction and wear characteristics of AISI H13 under varied CT cycles.
关键词	cryogenics treatment hot die steel friction wear modeling Box-Cox method Mechanical engineering and machinery TJ1-1570
收录类别	CSCD
语种	英语
资助项目	[National Institute of Technology, Hamirpur]
CSCD记录号	CSCD:6142117
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/156033
专题	中国科学院金属研究所
作者单位	1.中国科学院金属研究所 2.Institute Auto Parts & Hand Tools Technol, A-9,Phase 5, Ludhiana 141010, Punjab, India 3.Natl Institute Technol, Dept Mech Engn, Hamirpur 177005, HP, India
推荐引用方式 GB/T 7714	Katoch Sanjeev,Sehgal Rakesh,Singh Vishal. Optimization of friction and wear characteristics of varied cryogenically treated hot die steel grade AISI-H13 under dry condition[J]. Friction,2017,5(1):66-86.
APA	Katoch Sanjeev,Sehgal Rakesh,&Singh Vishal.(2017).Optimization of friction and wear characteristics of varied cryogenically treated hot die steel grade AISI-H13 under dry condition.Friction,5(1),66-86.
MLA	Katoch Sanjeev,et al."Optimization of friction and wear characteristics of varied cryogenically treated hot die steel grade AISI-H13 under dry condition".Friction 5.1(2017):66-86.