无心磨削过程碳排放量及其关键影响因素解析

摘要/Abstract

摘要：

准确量化制造过程中的碳排放量是实现低碳制造的前提条件。磨削是一种广为应用的精密加工方法,同时也是切削热量高、使用切削液量大、加工环境差、能量利用效率低的加工工艺。利用公理化设计找出影响低碳磨削的各层关键影响因素,综合考虑了能源、资源和废弃物对碳排放量的影响,建立了数控粗磨、精磨和光磨整个磨削过程的ERWC碳排放量定量分析模型。最后进行了实际磨削加工测量实验,并用MATLAB给出了模型计算比较结果,解析了关键影响因素。

关键词: 公理化设计, ERWC模型, 磨削, 碳排放量, 低碳制造

Abstract:

To accurately quantify carbon dioxide emission in manufacturing process is a prerequisite for low-carbon manufacturing. Grinding is a widely used as precision machining method, however, it is also a less energy-efficient and environment unfriendly processing method consuming large amount of cutting fluid and generating high cutting heat compared with others. The paper identified key factors influencing carbon dioxide emission during grinding process using axiomatic design method. Considering resource utilization, energy consumption and waste generation impacting on carbon dioxide emission, the ERWC(energy,resource,waste,carbon) carbon dioxide emission quantitative analysis model of the entire grinding process with roughing, finishing and spark-out stages was developed. Mearsurement experiments were done to collect data needed and computational analysis on both ERWC model and its key factors was done with MATLAB.

Key words: axiomatic design, ERWC model, grinding, carbon dioxide emission, low-carbon manufacturing

中图分类号:

TH162

郭登月, 程凯, 丁辉, 闫纪红, 马云辉. 无心磨削过程碳排放量及其关键影响因素解析[J]. 中国机械工程, 2014, 25(11): 1478-1485.

Guo Dengyue, Cheng Kai, Ding Hui, Yan Jihong, Ma Yunhui. An Investigation on Quantitative Analysis of Carbon Footprint in Centreless Grinding Process and Its Key Factors[J]. China Mechanical Engineering, 2014, 25(11): 1478-1485.

参考文献

[1]潘雄锋, 舒涛, 徐大伟. 中国制造业碳排放强度变动及其因素分解[J]. 中国人口·资源与环境, 2011,21(5): 101-105.
Pan Xiongfeng, Shu Tao, Xu Dawei. On the Changes in the Carbon Emission Intensity of China’s Manufacturing Industry and Its Factors Decomposition[J]. China Population, Resources And Environment,2011, 21(5): 101-105.
[2]Departmentof Commerce (DOC). Sustainable Manufacturing Initiative and Public-private Dialogue. Available via. [2012-07-10]. http://www.trade.gov/competitiveness/sustainable manufacturing /index.asp.
[3]Li W, Kara S. United Process Energy Consumption Models for Manufacturing Processes[J]. Annals of the CIRP,2011,60(1): 37-40.
[4]Rajemi M F, Mativenga P T, Aramcharoen A. Sustainable Machining:Selection of Optimum Turning Conditions Based on Minimum Energy Considerations[J]. Journal of Cleaner Production, 2010,18(10): 1059-1065.
[5]Nava P. Minimizing Carbon Emissions in Metal Forming[D]. Kingston, Ontario: Queen’s University,2009.
[6]Helu M, Vijayaraghavan A, Dornfeld D. Evaluating the Relationship between Use Phase Environmental Impacts and Manufacturing Process Precision[J]. CIRP Annals-manufacturing Technology, 2011,60(1): 49-52.
[7]Gutowski T,Murphy C, Allen D. Environmentally Benign Manufacturing: Observations from Japan, Europe and the United States[J]. J. Clean. Prod., 2005,13:1-17.
[8]Dietmair A, Verl A. A Generic Energy Consumption Model for Decision Making and Energy Efficiency Optimization in Manufacturing[J]. International Journal of Sustainable Engineering, 2009,2:123-133.
[9]王龙山, 李国发. 磨削过程模型的建立及其计算机仿真[J]. 中国机械工程, 2002, 13(1): 1-4.
Wang Longshan, Li Guofa. Modelling and Computer Simulation for Grinding Process[J]. China Mechanical Engineering, 2002, 13(1): 1-4.
[10]诸兴华. 磨削原理[M]. 北京:机械工业出版社, 1988.
[11]周小渔.无心磨削动态成圆模型研究与仿真[D]. 无锡: 江南大学, 2011.
[12]周丹, 刘光复, 何平. 数控机床能量设计因子提取方法研究[J]. 中国机械工程, 2011, 22(3): 351-355.
Zhou Dan, Liu Guangfu, He Ping.Study on Extracting Method of Energy Design Factors for NC Machines[J]. China Mechanical Engineering, 2011, 22(3): 351-355.
[13]施金良, 刘飞, 许弟建,等. 数控机床空载运行时节能决策模型及实用方法[J]. 中国机械工程, 2009, 20(11):1344-1346.
Shi Jinliang, Liu Fei, Xu Dijian, et al. Decision Model and Practical Method of Energy-saving in NC Machine Tool[J]. China Mechanical Engineering, 2009, 20(11):1344-1346.
[14]张惠萍. 数控铣削加工过程碳排放量预测技术的研究[D]. 哈尔滨: 哈尔滨工业大学, 2011.
[15]Narita H, Kawamura H, Norihisa T, et al. Development of Prediciton System for Environmental Burden for Machine Tool Operation[J]. International Journal of the Japan Society of Mechanical Engineers, Series C, 2006,4: 1199-1195.