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摘要:
Grinding operation is a finishing process often employed when high precision and narrow geometric tolerances are required.These requirements can be achieved only if cutting conditions are properly selected,especially the cooling-lubrication technique.In general,grinding is performed in presence of cutting fluid,however,due to the environmental impacts and costs of the conventional coolant delivery technique(flow rates from 4 L/min to 300 L/min),alternative cooling-lubrication techniques have been developed on restriction of the coolants use.Among the several techniques,MQL(minimum quantity of lubricant)technique has received special attention from machining users because of its advantages in terms of surface quality of workpiece and drastic reduction in use of coolant.In this context,this paper evaluated the performance of the MQL technique as compared to the flood coolant in peripheral surface grinding of AISI P100(VP100)steel with conventional aluminum oxide grinding wheel in relation to the surface roughness(Ra and Rz).Input parameters tested were equivalent chip thickness(0.09μm,0.18μm and 0.27μm)and flow rate of the cutting fluid(60 mL/h,150 mL/h and 240 mL/h)of the MQL system.Results showed that the grinding with MQL technique provided lower surface roughness values compared to conventional flood cooling,especially when machining under the intermediary cutting conditions.Also,with exception of heq of 0.09 m,the MQL technique resulted in lower values of Rz parameter as compared to the conventional coolant technique,regardless of the flow rate tested.
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篇名 Surface Finish Evaluation of AISI P100 Steel after Grinding with MQL Technique with Different Flow Rates
来源期刊 机械工程与自动化:英文版 学科 工学
关键词 GRINDING AISI P100 steel MQL technique equivalent chip thickness surface roughness
年,卷(期) 2020,(2) 所属期刊栏目
研究方向 页码范围 60-65
页数 6页 分类号 TG5
字数 语种
DOI
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研究主题发展历程
节点文献
GRINDING
AISI
P100
steel
MQL
technique
equivalent
chip
thickness
surface
roughness
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研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
机械工程与自动化:英文版
月刊
2159-5275
武汉洪山区卓刀泉北路金桥花园C座4楼
出版文献量(篇)
651
总下载数(次)
1
总被引数(次)
0
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