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Research On Carbon Footprint Accounting And Parameter Optimization Methods And Applications In Spline Shaft Processing

Posted on:2024-08-02Degree:MasterType:Thesis
Country:ChinaCandidate:J Z NieFull Text:PDF
GTID:2542307115499364Subject:Mechanics (Mechanical Engineering) (Professional Degree)
Abstract/Summary:PDF Full Text Request
With the increasing global warming,vigorously developing and achieving low-carbon manufacturing has become a trend and trend in the development of the manufacturing industry.China promises to promote greenhouse gas emission reduction through strong measures and strive to reach the peak of carbon emissions by 2030 and achieve carbon neutrality by 2060.In order to actively respond to the call for dual carbon and promote energy conservation and emission reduction in manufacturing workshops,this article mainly studies the production process of spline shafts.Based on carbon footprint accounting standards and life cycle assessment methods,the carbon footprint accounting model for spline shaft processing is constructed.A milling parameter optimization model is established with the goal of minimizing carbon emissions and processing costs,and an improved artificial bee colony algorithm is used to solve the optimization,provide reference for low-carbon manufacturing.Domestic and foreign researchers have conducted research in the field of low-carbon manufacturing based on mechanical design concepts and full lifecycle theory,providing solutions for the low-carbon development of the manufacturing industry;The research field of carbon footprint quantification at home and abroad mainly focuses on analyzing the carbon emission characteristics of manufacturing processes;Most low-carbon optimization of machining parameters is based on specific process methods to establish optimization models and combine them with algorithms to obtain the optimal machining parameters.Based on the above research and analysis,combined with the actual production process of spline shafts,a framework for the full lifecycle system of spline shafts is constructed,and carbon emission characteristics are analyzed based on the characteristics of spline shaft processing technology.Afterwards,based on the life cycle assessment method,the carbon footprint calculation boundary of the spline shaft is divided into turning,grinding,and milling processing,and the carbon emission source and carbon emission factor are determined by combining the process flow.Based on the carbon emission sources,this paper analyzes the influencing factors of carbon emissions in the production process of spline shaft,establishes the carbon footprint accounting model of spline shaft turning in combination with the operation stage of CNC lathe,establishes the carbon footprint accounting model of spline shaft grinding from two aspects of energy flow and material flow,and establishes the carbon footprint accounting model of spline shaft milling in the way of subdividing carbon emission sources.By using an accounting model and an example of a spline shaft,the carbon footprint of the spline shaft machining process is calculated.By comparing and analyzing the accounting results,milling is determined as an optimized process.The milling speed,feed rate per tooth,and milling depth are selected as optimization variables,and the processing cost factors are comprehensively considered.A low-carbon and low-cost machining parameter optimization model for the spline shaft is established.In response to the shortcomings of the standard artificial bee colony algorithm,such as excessive useless iterations and the tendency to fall into local optima prematurely,the idea of close to optimal and the optimization steps of particle swarm algorithm are introduced for improvement,and the algorithm is used to solve the optimal machining parameters,providing feasible solutions for low-carbon and low-cost milling machining.Finally,based on the carbon footprint accounting model for spline shaft processing and workshop requirements,a carbon footprint accounting system for spline shaft production is developed and implemented using programming language.The overall architecture of the system is explained and various functional pages are displayed to achieve data-driven and intelligent management of workshop carbon emissions.
Keywords/Search Tags:Carbon footprint, Spline shaft, Carbon footprint accounting, Parameter optimization, Artificial bee colony
PDF Full Text Request
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