Research On The Low Carbonization Method Of CNC Milling Tool Cutting Path And Parameters Under Cost Constraints

As energy prices rise and the environment continues to deteriorate,energy and environmental issues have received increasing attention.Improving the energy efficiency of the manufacturing industry and reducing processing carbon emissions have become an inevitable trend for sustainable development.Numerical control milling is a commonly used processing method in the production of parts.Modeling and optimizing carbon emissions during processing can not only effectively improve the efficiency of machining,but also reduce carbon emissions and save processing costs.This paper analyzes and studies the carbon emission characteristics of the CNC machining system.On this basis,an optimization model for the cutting path and parameters of the CNC milling tool under the constraints of carbon emissions and processing costs is established.The practical examples are used to verify the practicability of the model,and the carbon emissions and The man-machine interface of CNC milling tool cutting path and parameter optimization under the constraint of processing cost.The specific research content is as follows:First,from the perspective of the input and output of the CNC machining system,the evaluation boundary of its carbon emission sources was determined,and the characteristics of its carbon emissions were analyzed.The carbon emissions of the CNC machining system were divided into electric energy carbon emissions and auxiliary carbon emissions,and established Corresponding carbon emission assessment model.Secondly,on the basis of the carbon emission evaluation model of the CNC machining system,the carbon emissions of CNC milling electric energy are divided into non-cutting state electric energy carbon emission and cutting state electric energy carbon emission,and a CNC milling electric energy carbon emission model is established,which combines tool carbon emission and Cutting fluid carbon emission has established a numerical control milling auxiliary carbon emission evaluation model,and finally established a numerical control milling total carbon emission evaluation model and a machining cost model.At the same time,the machining time models under the cutting paths of three commonly used milling tools are established.Subsequently,the optimization goal is to minimize carbon emissions and processing costs,the spindle speed of the machine tool,the feed per tooth and the milling width are the optimization variables,and the machine tool,tool performance and processing quality are constrained to establish carbon emissions and processing costs.The cutting path and parameter optimization model of CNC milling tool under constraints.Finally,according to the established carbon emission model of CNC milling,experiments were carried out to study its reliability,and the influence of milling parameters on carbon emission was discussed.In this paper,genetic algorithm is used to optimize the established optimization model,and the practicability of the model is verified according to specific examples.The optimized combination of optimal tool cutting path and optimal milling parameter can effectively reduce carbon emissions and processing costs.On this basis,using C# language,a man-machine interface for the optimization of cutting paths and parameters of CNC milling tools under the constraints of carbon emissions and processing costs was developed.