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Research On Modular Disassembly Sequence Planning And Scheme Evaluation For CNC Machine Tools And Their Application

Posted on:2015-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhangFull Text:PDF
GTID:2251330425486602Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
As the key equipment which is supporting the development of our country’s industrial, the manufacturing of CNC machine tools would cost enormous human resources and material resources. Remanufacturing as a new model of recycling waste resources, has gradually developed into an important engineering of CNC machine tools’ manufacturing. Disassembly as a new style of remanufacturing, its rationality is an effective assurance of CNC machine tools’ remanufacturing. Therefore, to solve the problems of CNC machine disassembly sequence planning effectively, this paper studied the disassembly module multi-granularity partition technique of CNC machine tools based on design dependency matrix, the non-dominated solution technique of CNC machine tools’disassembly sequence based on module demand-driven, the multiple criteria evaluation technique of CNC machine tools’disassembly scheme based on fuzzy integral, and developed modular disassembly sequence planning and scheme evaluation system.The main contents are as follows:The first chapter introduced the background and significance of this paper, analyzed the disassembly design techniques, the disassembly sequence planning techniques, the disassembly scheme evaluation techniques, discussed the problems about disassembly sequence planning and scheme evaluation of CNC machine tools, and at last gave the content and structure of this paper.The second chapter studied the disassembly module multi-granularity partition technique of CNC machine tools based on design dependency matrix, presented disassembly module division standards by analysis factors which are affecting CNC machine tools disassembly, constructed design structure matrix of CNC machine tools’components, calculates the comprehensive associated values between components which have coupling relationship to transform design structure matrix into design dependency matrix, clustered the design dependency matrix by using the transitive closure method, achieved the disassembly module division of CNC machine tools. Finally, the example of a three-axis vertical machining center’s spindle disassembly module division showed the feasibility of the research.The third chapter studied the non-dominated solution technique of CNC machine tools’ disassembly sequence based on module demand-driven, constructed modular stratified disassembly constraint graph combined with the thoughts of modularization, established demand complexity, disassembly complexity and cost multi-objective optimization model by regarding the demand of disassembly module as constraints, and solved the disassembly sequence planning by using an improved Pareto ant colony algorithm. Finally, the example of a vertical machining center’s pneumatic device disassembly sequence planning showed the feasibility of the research.The forth chapter studied the multiple criteria evaluation technique of CNC machine tools’ disassembly scheme based on fuzzy integral, analyzed the correlation between evaluation index and relative importance by using analytic network process, established CNC machine tools’ disassembly scheme evaluation model based on fuzzy integral, calculated scheme composite score and obtain the best disassembly scheme.The fifth chapter developed modular disassembly sequence planning and scheme evaluation system of machine tools based on techniques proposed in this paper, introduced the main function modules and main technical of the system, and finally verified the feasibility and practicality of the theory presented in this paper combine with specific example.The sixth chapter summarized the main research contents, methods and theories used in this paper, made an outlook about future research direction at last.
Keywords/Search Tags:CNC machine tools, Design dependency matrix, multi-granularity, Modulepartition, Demand-driven, Improved Pareto ant colony algorithm, Disassembly sequenceplanning, Non-dominated solution sets, Fuzzy integral, Scheme evaluation
PDF Full Text Request
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