Research On Optimization Of Carbon Efficiency For Multiple Resolution Entity Of Mechanical Machining Process

Machinery manufacturing is dominant material foundation for sustaining development of our national economy and society,which provides equipments and technologies for the national economy.With the rapid economic and technological development,the contradiction between environmental pressure(energy shortage,carbon emissions,etc.)and economic growth become severity.The pressure on carbon reduction of machinery manufacturing will be inevitably increasing.Therefore,popularizing low carbon manufacturing(LCM)mode,developing low carbon manufacturing technology,and implementing carbon emission delicacy management are the significant measures to effective control carbon emissions,and in turn to improve the high energy consumption as well as high pollution issues in machinery manufacturing.So to summarize,LCM is a development trend of machinery manufacturing of our country in the future.As the main production activities in machinery manufacturing,machining process is an important carrier of the development,innovation and application of LCM,which plays a crucial role in energy conservation and emissions reduction of mechanical manufacturing.With the support of the National 863 Plan Project of “Research on Typical Green Machine Tool Production Technology Assessment and Application Support System”(NO.2014AA041504)and National Science Foundation Project “Research on Energy Efficiency Improvement Method of Manufacturing System Based on Workpiece Energy Consumption Attributes”(NO.51275365)of China.This paper focuses the research on optimization of comprehensive carbon efficiency for multi-resolution entity of mechanical machining process.Firstly,according to the characteristic of multiple equipments and processes,as well as highly nonlinear features on operational process,the resource flow,energy flow,information flow,emissions flow(“Four Flows”)are analyzed to reveal the component elements,operation rules and the hierarchical structure of machining process.Based on this,the dynamic and multiple source features of carbon emissions during machining process are investigated.In addition,in order to comprehensive analyze the carbon emissions,as well as accommodate the requirement of delicacy manage the carbon emissions on different levels and different particle size of machining process,a framework model of multiple resolution entity(MRE)of mechanical machining process is proposed,and a scientific and comprehensive index system of carbon efficiency is established,furthermore,the corresponding quantitative models are presented.This provides theoretical and methodological basis for the carbon efficiency management and optimization of machining processes.Secondly,due to the static quantitative analysis models can't consider the information flow of machining process,which is difficult to effectively reflect the dynamic change of carbon emissions on each level of machining process.Based on the modeling technology of Discrete Event System Specification(DEVS),the dynamic analysis model of comprehensive carbon efficiency for mechanical machining process MRE is proposed.In addition,the DEVS simulation models on each level are designed by using CD++Builder plug-in based on Eclipse.Furthermore,the corresponding simulation program is developed to implement the dynamic analysis and predict of carbon emissions and carbon efficiency of machining process,and provide the optimal direction for reducing carbon emission at different levels of processing process.Thirdly,aiming at improving LCM of machining process for enterprises,the research on scheduling optimization problem is conducted.On the basis of full analyze the dispatch relationship between different resolution entity,a multi-objective two stage scheduling optimization model that comprehensive consider the product percent of pass,processing profit,production time carbon emissions and other indicators is proposed,so as to further realize the optimization control of low carbon performance of machining process.Finally,a software support system is developed for dynamic analysis and optimization of comprehensive carbon efficiency for mechanical machining process MRE using the Browse/Sever(B/S)architecture in Visual Studio 2010 with C++ and SQL Server 2008.In addition,the application of the software system is described by taking machine manufacturing enterprises as the object.