Research On Optimization Of Cutting Parameters For CNC Milling Based On Carbon Efficiency

Global warming is a common concern in today's society.With the development of industrialization,humans use a lot of coal,petroleum and other fossil fuels,resulting in a large amount of CO2 and other greenhouse gas emissions,forming a "greenhouse effect" In order to explore the sustainable development of energy-saving and low-carbon models,efficient and low-carbon manufacturing has become an important processing method in the manufacturing industry.Therefore,how to effectively improve the energy utilization rate of machine tools and reduce carbon emissions in the manufacturing process has become an important issue facing the manufacturing industry.As a common processing method,CNC machining has an important position in modern mechanical processing,and it is of great significance to quantify its carbon emissions and optimize low-carbon.This article conducts low-carbon research on CNC milling.The specific research contents include:First,based on the analysis of the carbon emission source characteristics of the CNC machining process,the carbon emissions of the CNC machining process are defined as electrical energy carbon emissions and non-electricity carbon emissions.For the carbon emission of electrical energy,according to the power change of each subsystem during the process,it is divided into constant and variable electrical energy carbon emissions,and the carbon emission estimation function of the corresponding subsystem is established.For non-electric energy carbon emissions,the carbon emissions generated during the machining process of tools,cutting fluids and chips are mainly analyzed,and corresponding carbon emission estimation functions are established.Finally,the total carbon emission estimation function of CNC machining technology system is constructed.Secondly,taking the specific milling process as an example,the carbon emission model constructed above is further analyzed,and the actual milling process is divided into three stages,namely,the standby process,the no-load process and the cutting process.The milling carbon emission estimation model,combined with the definition of material removal rate,proposed a carbon efficiency evaluation index,and used this as an optimization goal,taking the machine tool spindle speed and feed as optimization variables,considering various machine tool performance parameters and workpiece processing Constraints such as quality have established a carbon efficiency-oriented CNC milling cutting parameter optimization model.Then,the genetic algorithm is used to optimize and solve the constructed model to obtain a relatively optimal solution.The actual processing is used to verify the experiment.The data measured by the experiment is compared with the data estimated by the model.The difference is within the acceptable range,Proved the effectiveness of the model,and applied actual cases,compared with the data before and after optimization,proved that the optimized parameters can effectively improve the carbon efficiency in the milling process,that is,in the case of generating unit carbon emissions,it can be removed Many materials.Finally,on this basis,C # software was used to develop the human-computer interaction interface for the above research results,which provided effective technical support for obtaining reasonable parameters in the actual milling process.