Research On Parameter Optimization And Machine Tool Energy Saving Strategy Based On Milling

Metal cutting equipment is the most basic equipment in the manufacturing industry,which is the master machine of metal cutting work.China has a large number of metal cutting equipment,which covers a wide range,production and use are increasing year by year,energy consumption of cutting equipment is increasing day by day,resulting in carbon emissions increasing year by year,resulting in more and more pessimistic changes in the earth's environment.Low energy consumption and low carbon manufacturing problems have become the focus of attention of all countries.Milling is an important part of the metal cutting process,but the milling machine has low efficiency and energy consumption in the actual production process,and there is huge energy saving space.Milling is a typical and complex nonlinear process.It is very difficult to save energy and reduce production costs by properly selecting cutting parameters.It is very difficult to establish accurate mathematical models.Based on the actual situation of industrial production in China,this paper uses the most commonly used carbide milling cutters to mill 40 Cr steels,30 sets of experimental data were obtained,and applies neural network algorithms for dealing with complex nonlinear problems.By establishing a reasonable neural network,the milling amount can be calculated quickly and accurately,and the relationship between the milling amount and the milling equipment power can be reflected by numbers.Based on the orthogonal experimental design,the milling parameters are further optimized.The orthogonal test is used to reveal the influence of milling parameters on the milling power.The relationship between milling parameters and milling time is also analyzed.Experiments show that when milling The feed per tooth has the greatest impact on the power and processing time of the milling equipment,followed by the cutting speed,which has the least impact on the amount of backing.Through the establishment of the model of milling energy consumption,the influence trend of each cutting parameter on the energy consumption of the milling equipment is obtained based on the experiment.The analysis results show that the large feed rate and the back-feeding amount are selected during the milling process,and the appropriate cutting speed is used.It can effectively improve the processing efficiency of milling machines and minimize energy consumption.