Modeling And Analysis Of Carbon Emission In Milling Process And Optimization Of Process Parameters

Manufacturing industry is one of the most important pillar industries in China.However,due to the continuous consumption of global energy and the increasingly serious problem of environmental pollution,manufacturing industry is facing the dual challenge of energy shortage and environmental degradation.Machinery manufacturing industry is an important part of the manufacturing industry,milling machine is the main production equipment of machinery manufacturing industry,directly affect the production efficiency and economic benefits of products.There are huge milling machines in the world,which not only produce huge production benefits,but also consume a lot of energy,which has a serious impact on the environment.Therefore,the realization of green and efficient milling machine production has become a key problem to be solved in the current machinery manufacturing industry,but also an important node of milling machine research.Therefore,this paper has carried out in-depth research on milling machine efficiency and environmental pollution,and carried out low-carbon modeling and process parameter optimization research on milling processing.The main research contents are as follows:(1)For the CNC milling machine in the process of high energy consumption.Using milling machine processing carbon source analysis,mathematical modeling and data fitting method,combining with the actual working condition of the CNC milling machine and CNC milling machine processing process of carbon source,establish milling machine no-load state of each component of the theory of power energy consumption model,and through the single factor experiment,through the analysis of the influence degree of milling parameters on the process of light carbon emissions,through data fitting,the quantitative model,and provides the theoretical foundation for the following research.(2)In view of the existing CNC milling machine power experience model prediction accuracy is not high,adaptability is caused as a result of the error of the problem,considering the important influencing factors,such as CNC milling machine milling parameters for numerical control milling machine milling process for low carbon modeling and analysis,on this basis,in view of the model to solve the problem of using single factor analysis and orthogonal experimental method,to spindle speed,feed rate,the milling depth,milling width for the influencing factors of the four factors three levels orthogonal experiment.The milling model is verified by experiments.(3)Aiming at the multi-level and multi-attribute problems of high energy consumption and low efficiency in the milling process,according to the actual situation,considering the influence of subjective and objective factors on the energy consumption and efficiency of the milling machine,the milling process parameter optimization model for high efficiency and low carbon parts was established;Considering the CNC milling machine milling process of low carbon efficient practical requirements,selection of spindle speed,feed rate,the milling depth,milling width as optimization variables,has the lowest carbon emissions,the production efficiency,processing the highest objective function is established with the target,with the actual production situation of optimized variables constraints,optimization model is established.Finally,in view of the optimization model to solve the problem,this article mention selection particle swarm algorithm to optimize the model,obtained the optimized process parameters set,adopt fuzzy evaluation method to select the optimal parameters,comprehensive analysis of the influence of parameter change on the energy consumption,efficiency,and verify the rationality of the optimization decision model,the effectiveness of the at the same time,also reflects the use value.Paper discussed from the point of view of carbon emissions and the processing time of CNC milling machine efficiency low carbon multi-objective optimization problem,nc milling machine efficiency low carbon optimization model algorithm and experimental study,the comprehensive evaluation results show that in an efficient low carbon milling in order to establish the prediction model of the optimization goal,to improve the efficacy,the goal of reducing carbon emissions.