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Energy Consumption,Carbon Emission Calculation And Optimization Of Cutting Parameters During Hole Processing

Posted on:2019-10-23Degree:MasterType:Thesis
Country:ChinaCandidate:X S LiFull Text:PDF
GTID:2371330548979933Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The rapid development of manufacturing industry improves the quality of people's life and brings great pressure to the natural environment simultaneously.Our country is a big manufacturing country with a large amount of machinery manufacturing industry,resource consumption and carbon emissions are huge.As a typical processing equipment,the machine tool is also an important energy consumption equipment in the production workshop.Our country has a large number of machine tools,but there are many characteristics of high consumption of materials,high energy consumption and high carbon emission,the energy utilization rate is low.Therefore,the analysis of energy consumption and carbon emission in machine tool processing is of great significance to the implementation of low carbon manufacturing and energy saving and emission reduction.In this paper,the hole processing technology of drilling,boring are studied.Combined with the energy characteristics of CNC machining center,the energy consumption and carbon emission during the machining process are analyzed,and studies the optimization of boring finishing surface quality and cutting energy,the multi index orthogonal optimization of surface roughness and cutting energy consumption was carried out.The main work of this thesis can be summarized as follows:1.From the energy consumption characteristics of machine tools,the energy consumption of machine tools is summed up into four different energy consumption states,which are the basic starting state,the standby running state,the no-load running state,and the cutting operation state.The power balance equation under different operating conditions of the machine tool is established,and the influence of cutting parameters on the cutting specific energy and the effective machining efficiency of the machine tool is analyzed.Combined with drilling and boring process,it is found that the no-load running power of the machine tool accounts for the vast majority of the total cutting power of the machine tool.Decreasing the no-load running time in the machine process can play a key role in energy saving.The specific cutting energy of drilling would be reduced with the increase of tool diameter,feed rate and cutting speed,the effective efficiency of machine tool becomes larger with the increase of tool diameter,feed and cutting speed.The specific cutting energy of boring can be larger with the decrease of cutting depth,the feed rate and with the increase of cutting speed,the effective efficiency of machine tool can be larger with the increase of cutting depth,the feed rate and with the decrease of cutting speed.2.The BP neural network model is used to predict the specific cutting energy for drilling and boring.The nonlinear mapping relationship between the input of cutting parameters and the output of cutting energy consumption is established.At the same time,three-dimensional linear regression model of specific cutting energy of drilling and boring was established,the error of specific cutting energy for drilling and boring was compared.The results show that the trained BP neural network model has good accuracy in predicting specific cutting energy.3.The contradiction between the cutting energy and the processing quality is weighed by the boring technology,and looking for the optimal cutting parameters.Determining the surface roughness and cutting energy consumption as multiple response indexes.Gray relation theory and Multi index orthogonal optimization comprehensive scoring method are adopted.It is concluded that the feed rate is the most important factor that affects the comprehensive score index,followed by the cutting speed,and finally the amount of cutting depth,and select the best combination of precision boring parameters within the experimental parameters.4.Established a carbon emission model of machine tool power consumption,processing auxiliary materials consumption,waste disposal.Quantitative calculation and analysis of carbon emission in different working processes of drilling,rough boring and fine boring.The results showed that the main source of carbon emissions during cutting process was electrical energy and waste disposal.The carbon emission from waste disposal was the main source of carbon emissions from waste disposal.
Keywords/Search Tags:Hole processing, Machine tool's energy consumption, Specific cutting energy, Process optimization, Carbon emission evaluation
PDF Full Text Request
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