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Energy Consumption Modeling And Process Optimization Of Machining System

Posted on:2020-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:S X LiuFull Text:PDF
GTID:2392330578966681Subject:Engineering
Abstract/Summary:PDF Full Text Request
Manufacturing industry promotes the large-span development of China's economy,creating value for the economy,but also accompanied by problems of high energy consumption,high emissions and high pollution.Aiming at the characteristics of high energy consumption and low energy utilization efficiency in China's machinery manufacturing industry,the energy consumption characteristics and components in the process of mechanical processing are analyzed,and the energy consumption model of mechanical processing system is established.Based on this,a mathematical model of cutting energy utilization rate for process parameters and process routes is constructed.The optimal combination of cutting parameters and process routes are discussed with the maximum energy utilization rate as the optimization index.The orthogonal experiment was designed by Taguchi method,and the cutting parameters of tool tip arc radius,feed speed,cutting depth and cutting speed were selected as optimization variables.The experimental data of cutting SiCp/Al composites by NC lathe are used to calculate the energy utilization ratio and the signal-to-noise ratio of specific energy of each group of experimental data.The significant influence of cutting parameters on the energy efficiency of NC lathe is studied by Taguchi method and variance analysis method.Finally,the energy efficiency of the system is analyzed from the aspect of the process route of the mechanical processing system,and the law of the optimization of the process route and the change of the energy efficiency of the system is studied.Taking process route as optimization object,energy efficiency and completion time of machining system as optimization objective,and using genetic algorithm NSGA-? for multi-objective optimization,the optimal process route and corresponding energy efficiency and completion time are obtained.
Keywords/Search Tags:Machining System, Energy Consumption Model, Taguchi method, NSGA-?, Multi-objective optimization
PDF Full Text Request
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