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An automated workflow for integrating sustainability assessment into parametric part design through standard reference models

Published

Author(s)

William Z. Bernstein, Melissa Tensa, Maxwell Praniewicz, Soonjo Kwon, Deverajan Ramanujan

Abstract

Integrating environmental sustainability assessment into parametric design represents an important opportunity for enabling sustainable product design. However, this is a challenging task as quantitative methods for sustainability assessment are poorly integrated with parametric design and optimization tools. Furthermore, current streamlined approaches for computing environmental impact during the design stage often ignore manufacturing-related impacts resulting from the geometric complexity of parts. To address these gaps, we present a systematic workflow for computing environmental performance indicators from parametric design models. The developed workflow utilizes the unit manufacturing process information model to evaluate manufacturing-phase resource consumption from process planning data, and consequently enables quantitative correlation of specific design parameters to the calculated environmental performance indicators. We demonstrate the proposed workflow through a case study involving the design of a rigid flange coupling, wherein we evaluate the influence of geometric design parameters on the corresponding cradle-to-gate environmental impact of the design.
Volume
90
Conference Dates
May 13-15, 2020
Conference Location
Grenoble, -1
Conference Title
Proceedings of the 27th CIRP Conference on Life Cycle Engineering (LCE)

Keywords

Life cycle assessment (LCA), Computer aided design (CAD), Computer aided manufacturing (CAM), Screening design

Citation

Bernstein, W. , Tensa, M. , Praniewicz, M. , Kwon, S. and Ramanujan, D. (2020), An automated workflow for integrating sustainability assessment into parametric part design through standard reference models, Proceedings of the 27th CIRP Conference on Life Cycle Engineering (LCE), Grenoble, -1, [online], https://doi.org/10.1016/j.procir.2020.02.058 (Accessed April 11, 2021)
Created August 5, 2020, Updated August 7, 2020