Carbon weight analysis for machining operation and allocation for redesign

被引:21
作者
Ameta, Gaurav [1 ]
Mani, Mahesh [2 ]
Rachuri, Sudarsan [2 ]
Feng, Shaw C. [2 ]
Sriram, Ram D. [2 ]
Lyons, Kevin W. [2 ]
机构
[1] Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USA
[2] NIST, Mfg Engn Lab, Gaithersburg, MD 20899 USA
关键词
design of environment; sustainable manufacture; sustainability; design for sustainability; carbon weight;
D O I
10.1080/19397030903318226
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The objective of this research paper is to explore and develop a new methodology for computing carbon weight (CW) often referred to as carbon footprint, in manufacturing processes from part level to assembly level. In this initial study, we focused on machining operations, specifically turning and milling, for computing CW. Our initial study demonstrates that CW can be computed using either actual measured data from process level information or from initial material and manufacturing process information. In mechanical design, tolerance analysis principles extend from design to manufacturing and tolerances accumulate for parts and processes. By extending this notion to CW, we apply mechanical tolerancing principles for computing worst case and statistical case CW of a product. We call this the CW tolerance approach (CWTA). Two case studies demonstrate the computation of CW. Based on the tolerance allocation concepts; CW allocation is also demonstrated through specific redesign examples. CWTA helps in identifying carbon intensive parts/processes and can be used to make appropriate design decisions.
引用
收藏
页码:241 / 251
页数:11
相关论文
共 27 条
[1]  
[Anonymous], STATE TRENDS CARBON
[2]  
Coatanea Eric, 2007, International Journal of Product Lifecycle Management, V2, P337, DOI 10.1504/IJPLM.2007.018297
[3]  
Dahmus J. B., 2004, ASME 2004 INT MECH E
[4]  
de Haes H.A.U., 1993, J CLEAN PROD, V1, P131, DOI [DOI 10.1016/0959-6526(93)90002-S, 10.1016/0959-6526(93)90002-S]
[5]  
Energy Information Administration US Department of Energy, 2002, UPD STAT LEV GREENH
[6]  
Evans D. H., 1974, Journal of Quality Technology, V6, P188
[7]  
Evans D. H., 1970, J QUAL TECHNOL, V2, P226
[8]  
Gutowski T., 2006, 12 INT C LIF CYCL EN
[9]  
Gutowski T, 2007, IEEE INT S EL ENV
[10]  
Gutowski T., 2005, 3 INT C 12 15 JUN ST