Technical Briefs

Sustainability Indicators for Grinding Applied to Dressing Strategies

[+] Author and Article Information
Barbara Sabine Linke

Department of Mechanical and Aerospace Engineering,
University of California Davis,
One Shields Avenue,
2052 Bainer, Davis, CA 95616
e-mail: bslinke@ucdavis.edu

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received February 8, 2013; final manuscript received July 26, 2013; published online September 11, 2013. Assoc. Editor: Y. B. Guo.

J. Manuf. Sci. Eng 135(5), 054502 (Sep 11, 2013) (6 pages) Paper No: MANU-13-1055; doi: 10.1115/1.4025191 History: Received February 08, 2013; Revised July 26, 2013

Growing environmental awareness leads production engineers to focus increasingly on energy and material efficiency of manufacturing processes. However, only a few holistic approaches have been applied on the manufacturing process level and they often disregard product quality. In this study, sustainability indicators for the discrete manufacturing process of grinding are defined and discussed. Various temporal and spatial boundaries for the sustainability analysis are evaluated with regard to their effect on the results. Selected indicators, here energy and waste intensity, are then used to evaluate different dressing strategies in a case study. This study highlights the challenges in setting the boundaries for a sustainability analysis and stresses the importance of clearly defining these in research papers.

Copyright © 2013 by ASME
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Grahic Jump Location
Fig. 1

Part costs from time-dependent and constant costs

Grahic Jump Location
Fig. 2

Time per part from primary processing time and nonproductive time

Grahic Jump Location
Fig. 3

Part surface roughness, tangential grinding force, and radial wheel wear over machined workpiece volume Vw

Grahic Jump Location
Fig. 4

Idealized machine power profile over time

Grahic Jump Location
Fig. 5

Average energy and residuals intensity per part for different temporal boundaries (strategy A = black columns, strategy B = gray columns)



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