Maximum undeformed equivalent chip thickness for ductile-brittle transition of zirconia ceramics under different lubrication conditions

被引:431
作者
Yang, Min [1 ]
Li, Changhe [1 ]
Zhang, Yanbin [1 ]
Jia, Dongzhou [1 ]
Zhang, Xianpeng [1 ]
Hou, Yali [1 ]
Li, Runze [2 ]
Wang, Jun [3 ]
机构
[1] Qingdao Univ Technol, Sch Mech Engn, Qingdao 266520, Peoples R China
[2] Univ Southern Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA
[3] Univ New South Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia
基金
中国国家自然科学基金;
关键词
Maximum undeformed equivalent chip thickness; Lubrication conditions; Debris formation mechanism; Zirconia ceramics; Ductile-brittle transition; Grinding forces; QUANTITY LUBRICATION; TRIBOLOGICAL PERFORMANCE; FRICTION; ENERGY; MODEL; TECHNOLOGY; SIMULATION; NANOFLUID; BEHAVIOR; REMOVAL;
D O I
10.1016/j.ijmachtools.2017.06.003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study investigates the critical maximum undeformed equivalent chip thickness for ductile-brittle transition (DBh(max-e)) of zirconia ceramics under different lubrication conditions. A DBh(max-e) model is developed through geometry and kinematics analyses of ductile-mode grinding. Result shows that DBh(max-e) decreases with increasing friction coefficient (mu). An experimental investigation is then conducted to validate the model and determine the effect of dry lubrication, minimum quantity lubrication (MQL), and nanoparticle jet minimum quantity lubrication (NJMQL) conditions on DBh(max-e). According to different formation mechanisms of debris, the grinding behavior of zirconia ceramics is categorized into elastic sliding friction, plastic removal, powder removal, and brittle removal. Grinding forces per unit undeformed chip thickness (Fn/h and Ft/h) are obtained. The lubrication condition affects the normal force and ultimately influences the resultant force on workpiece. In comparison with dry grinding (DBh(max-e) = 0.8 mu m), MQL and NJMQL grinding processes increase DBh(max-e) by 0.99 and 1.79 mu m respectively; this finding is similar to model result. The theoretical model is then assessed by different volume fractions of nanofluids under NJMQL condition with an average percentage error of less than 8.6%.
引用
收藏
页码:55 / 65
页数:11
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