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Surface Roughness Prediction Based on Processing Parameters ...

Surface Roughness Prediction Based on Processing Parameters in Abrasive Jet Finishing with Grinding Wheel as Restraint

作     者:Li Changhe~1,Mao Weiping~(1,2),Du Chao~1,Liu Zhanrui~1 1.School of Mechanical Engineering,Qingdao Technological University,China,266033 2.Impulse(Qingdao) Health Tech.Ltd,China,266200 

会议名称:《2010 Chinese Control and Decision Conference》

会议日期:2010年

学科分类:08[工学] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基  金:supported by the National Natural Science Foundation of China(50875138) National Basic Research Program of China(2009CB724401) China Postdoctoral Science Foundation Funded Project (20080431234) Shandong Provincial Natural Science Foundation of China(Z2008F11) State Key Laboratory for Manufacturing Systems Engineering Specialized Fund 

关 键 词:Abrasive jet Finishing Roughness Micro-morphology Prediction 

摘      要:Based on the modeling and experiments concerning the surface roughness in abrasive jet finishing with grinding wheel as restraint,the effect of abrasive size,abrasive fluid concentration,machining cycles,wheel velocity and carrier fluid on machined surface quality was *** grinder KP-36 was employed in a jet machining experiment conducted with W18Cr4V and 40Cr materials,profilometer TALYSURF was used to measure the micro geometrical parameters after machining,and SEM was used to observe surface micro-morphology. Experimental results show that with W7 AlO powder at the mass fraction of 10%and antirust lubricating liquid being adopted in jet machining for 20 to 30 cycles,not only high surface shape precision can be kept or obtained,but also defect-free machined surface with the roughness of Ra 0.15~1.6μm can be obtained with high *** a new surface finishing method integrating grinding and polishing can well remove excessive plastic deformation in grinding,reduce surface pollution and grinding burning,and achieve high efficiency,high precision and low roughness *** observation and experimental results proved that the experimental results agree well with a mechanism-based machining model.

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