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机构地区:[1]School of Mechanical Engineering,Tongji University [2]School of Mechanical Engineering,Shanghai Dianji University [3]Sino-German School,Tongji University
出 处:《Journal of Donghua University(English Edition)》2014年第3期262-265,共4页东华大学学报(英文版)
基 金:National Science &Technology Pillar Program during the Twelfth Five-year Plan Period(No.2012BAF01B02);National Science and Technology Major Project of China(No.2012ZX04005031)
摘 要:Despite spending considerable effort on the development of manufacturing technology during the production process,manufacturing companies experience resources waste and worse ecological influences. To overcome the inconsistencies between energy-saving and environmental conservation,a uniform way of reporting the information and classification was presented. Based on the establishment of carbon footprint( CFP) for machine tools operation,carbon footprint per kilogram( CFK) was proposed as the normalized index to evaluate the machining process.Furthermore,a classification approach was developed as a tracking and analyzing system for the machining process. In addition,a case study was also used to illustrate the validity of the methodology. The results show that the approach is reasonable and feasible for machining process evaluation,which provides a reliable reference to the optimization measures for low carbon manufacturing.Despite spending considerable effort on the development of manufacturing technology during the production process,manufacturing companies experience resources waste and worse ecological influences. To overcome the inconsistencies between energy-saving and environmental conservation,a uniform way of reporting the information and classification was presented. Based on the establishment of carbon footprint( CFP) for machine tools operation,carbon footprint per kilogram( CFK) was proposed as the normalized index to evaluate the machining process.Furthermore,a classification approach was developed as a tracking and analyzing system for the machining process. In addition,a case study was also used to illustrate the validity of the methodology. The results show that the approach is reasonable and feasible for machining process evaluation,which provides a reliable reference to the optimization measures for low carbon manufacturing.
关 键 词:carbon FOOTPRINT ANALYSIS CLASSIFICATION approach of MACHINING PROCESS MANUFACTURING PROCESS evaluation
分 类 号:TH16[机械工程—机械制造及自动化]
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