The Study And Application Of Process Planning Decision Model For Low Carbon Manufacturing Based On Carbon Emissions Evaluation

The mechanical manufacturing is the main energy consumption business andcarbon emission resource in China. And it has great significance to implement lowcarbon manufacturing. Process planning is the intermediate link of design work andmanufacturing in the mechanical manufacturing system. Therefore the process planningfor low carbon manufacturing is an effective method to reduce the carbon emission ofmechanical manufacturing.This paper was supported by the National ScienceFoundation of China project (NO.51075415), Natural Science Foundation ofChongqing project (NO. CSTC:2010BB0055), Society&Development Research ofGuizhou province project (NO:(2013)3098)，and focus on the study of the concepts forlow carbon manufacturing in machinery manufacturing process planning and the keytechnologies.Firstly the implementation strategies and the system structure of low carbonmanufacturing process planning are discussed. The carbon emission categories ofmanufacturing process and the aim of low carbon process planning are presented byintegrating of the existing process planning process with low carbon manufacturingconnotation,The definition of the carbon emission function for manufacturing process ispresented by defining the carbon emission evaluation boundary of different carbonemission categories based on the carbon emission characteristics of manufacturingprocess. The carbon emission evaluation functions of classic mechanical processes arebuilt by combining the input-output properties of mechanical processes to evaluate andcalculate the carbon emission quantity for the mechanical processes and machineries.Thirdly based on the carbon emission evaluation function, the model ofmanufacturing process selection and its cutting parameters optimization is built byestablishing the optimization decision function of cutting parameters for low-cost,low-power and high-productivity. The genetic algorithm is utilized to search the optimalcutting parameters for low carbon manufacturing. And then the low carbon processesare selected.Based on the above discussions, the paper puts forward the sequence optimizationdecision-making model for machinery manufacturing process in low carbonmanufacturing. The multi-objective decision function is built by combining cost index and carbon emissions of manufacturing process. The carbon emission evaluationfunction is utilized as an evaluation tool, and the genetic algorithms is utilized to searchthe optimal process route for low carbon manufacturing.Finally this paper introduces a kind of computer aided process planning system forlow carbon manufacturing. The system can help designer to design the low carbonprocess plan, and realize the management of the process documents, and evaluate thecarbon emission of process. The data and information of low carbon manufacturing areshared and integrated in this system. It is an effective tool to implement theinformatization for low carbon manufacturing.