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| Optimization of Process Parameters of Minimum Quantity Lubrication System Based on Grey Relation Analysis |
| KONG Xiaoyao 1,2, YUAN Songmei 1,2, ZHU Guangyuan 1,2, ZHANG Wenjie 1,2 |
| ( 1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China; 2. Beijing Engineering Technological Research Center of High-Efficient & Green CNC Machining Process and Equipment, Beijing 100191, China ) |
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Abstract In order to solve the problem of parameter optimization of minimum quantity lubrication (MQL) system in titanium alloy milling, Taguchi method was used. With air flow rate, cutting fluid usage and cutting fluid concentration as variables, surface roughness Ra and cutting force as evaluation indexes, the MQL milling test of titanium alloy was carried out. Multi-objective optimization of minimum quantity lubrication system parameters was carried out using grey relation analysis and principal component analysis method. By analyzing the influence of various factors on grey relation grade, the optimal combination of system parameters was determined to be air flow rate of 90L/min, cutting fluid usage of 15mL/h and cutting fluid concentration of 70%. The optimized process parameters can effectively improve the surface quality of the workpiece and reduce the cutting force, which provides a reference for the reasonable selection of parameters of MQL system.
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2021, 
