Study On Cutting Force And Cutting Temperature In High-speed Milling Of 300M Steel With Cryogenic Minimum Quantity Of Lubricant

An important green cutting technology called cryogenic minimum quantity of lubricant(CMQL),which inherits the spirit of green manufacturing,produces no exhaust gas,residue and waste water in the machining process.Further more,CMQL incorporates advantages from cryogenic wind machining and minimal quantity of lubricant(MQL)and becomes more and more widely used in modern machining gradually.Simultaneously,CMQL can reduce the cutting force and cutting temperature and increase the lubrication effect while improving the surface quality.Especially in the process of machining difficult-to-cut materials,it has unique advantages over other technologies.300 M steel studied in this paper is an ultrahigh-strength steel applied to aeronautics and astronautics domain,while low efficiency and large resource consumption caused by large cutting force,high cutting temperature and short life of tools limit its application and development.This paper investigated cutting force,cutting temperature in high-speed milling of 300 M steel with CMQL based on experiments and numerical simulations.First,the simulation model of high-speed milling of 300 M steel with CMQL was designed by finite element software,while the distribution of stress and temperature were determined by three-dimensional numerical simulation.The variation pattern of cutting force and cutting temperature are obtained based on numerical simulations and experiments.Secondly,under two different conditions,dry and cryogenic minimum quantity of lubricant,single-factor test was conducted.Moreover,cutting force and cutting temperature are measured respectively.Afterwards the influence rule on on cutting force and temperature of different parameters are acquired by analyzing the performance of cooling and lubrication.Furthermore,selected appropriate cutting parameters for orthogonal experiment of high-speed milling of 300 M steel with CMQL.The forecast model of cutting force and cutting temperature is gained based on the experiment data,after that its reliability is proved through the significance test.Finally,the multi-objective optimization model was built based on forecast model.According to the constraints,optimizing cutting parameters is got to provide reference for actual machining production.