Carbon Footprint Analysis And Carbon Emission Warning Of Five-axis Machining Center Based On LCA

As a working machine of the manufacturing industry,the processing center has the largest consumption in the world in China,and its whole life cycle process consumes a large amount of energy materials that have caused a burden on the environment,and the carbon footprint analysis of the whole life cycle of the processing center is the basis and premise for achieving low-carbon manufacturing and carbon emission early warning.In low-carbon manufacturing,there are limitations to using carbon emissions as the basis for decision-making,and the carbon emission level of the processing center is now comprehensively evaluated considering the cost and manufacturing time of parts.It is difficult to identify abnormal fluctuations in carbon emissions during the manufacturing process of parts,resulting in waste of energy materials and the generation of invalid carbon emissions.Therefore,the research on the carbon footprint analysis and carbon emission early warning of the whole life cycle of the processing center is of great significance to China’s realization of energy conservation and carbon reduction.Based on this,this paper takes ECO five-axis machining center as the research object,explores its whole life cycle carbon emission process,constructs inventory statistics and carbon emission quantification model based on the whole life cycle,considers carbon emissions,cost and time to construct a carbon benefit model to comprehensively evaluate carbon emission level,and systematically studies carbon emission control and early warning methods,the main research content is as follows:(1)Aiming at the problem of imperfect statistics of energy and material consumption in the whole life cycle of the machining center,based on the whole life cycle,a statistical model of inventory data such as cutting and heat treatment electric energy consumption and tool consumption is constructed,and the carbon footprint of the machining center and its parts and components is analyzed in depth by constructing a carbon emission quantitative model of the whole life cycle,and the resource and environmental impact of each stage of the machining center are explored,so as to lay a foundation for subsequent carbon footprint assessment and carbon emission early warning.(2)Aiming at the limitations of carbon emission assessment,a comprehensive assessment of carbon emissions considering life cycle cost and manufacturing time is proposed.A carbon benefit evaluation model considering variable costs,fixed costs,and parts manufacturing time is constructed,and the cost of machining centers and parts manufacturing time are quantified based on product materials,energy consumption,and process flow.Comprehensive assessment of carbon emission level through carbon emissions,cost and time quantification results makes the assessment results more comprehensive and objective.(3)Aiming at the problem that it is difficult to identify abnormal carbon emission monitoring and early warning of processing centers,a multi-objective optimization design method of EWMA control chart based on improved Harris Eagle algorithm is proposed.An EWMA control model considering the statistical,economical and carbon benefits of the control chart was constructed,and the average product length,unit product cost and carbon benefit of the control chart were analyzed and calculated based on the Markov chain method.An improved Harris Eagle algorithm is proposed to solve the model,solve the problems of slow convergence speed and low optimization accuracy of complex control chart multi-objective optimization algorithm,and obtain the optimal parameter combination of control chart by entropy weight TOPSIS method,so as to realize the identification and early warning of abnormal fluctuations of carbon emissions in the manufacturing process of machining center.