微量润滑对7055铝合金的高速切削加工性的影响研究

ABSTRACTMicro lubrication cutting technology (MQL)is an important green cutting technology.Adhering to the concept of green manufacturing,there is no exhaust gas,waste residue and wasteliquid emission during cutting process.It also improves the surface quality of the machinedsurface while reducing the cutting force,reducing the cutting temperature and improving thelubrication effect.Especially in the process of machining hard materials,the unique advantagesof micro lubrication are also shown.7055 Aluminum Alloy used in the study is a kind of difficultto machining materials,using the traditional processing method,there will be excessive cuttingforce,cutting temperature,tool life greatly shorten the regional high resulting in low productionefficiency,high resource consumption,limited to 7055 Aluminum Alloy in this field should beused and development.Based on MQL technology and experimental simulation,the cutting forceand cutting temperature of 7055 aluminum alloy under high speed cutting under microlubrication are studied.First,the dynamic physical simulation model of 7055 aluminum alloy high-speed cuttingprocess is accurately constructed by the finite element analysis software,and thethree-dimensional numerical simulation of the stress and temperature field of the cutting tool iscarried out.The distribution of the stress field and temperature field of the cutting tool of highspeed cutting 7055 aluminum alloy under the condition of micro lubrication is obtained.Secondly,under the two different environments of dry and low temperature microlubrication,the single factor cutting experiments of high speed cutting 7055 aluminum alloy withdifferent cutting parameters are carried out.The cutting force of two different cuttingenvironments is measured,and the temperature of cutting area is measured at the same time.Thefriction reduction effect of micro lubrication in high speed machining of 7055 aluminum alloy isanalyzed,and the change rule of cutting force,cutting temperature and cutting parameters inmicro lubrication environment is obtained.Finally,the genetic algorithm is used to establish the multi-objective optimization model,