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Commonality and performance metrics to evaluate and optimise the design of additive manufactured product families

Commonality and performance metrics to evaluate and optimise the design of additive manufactured... With the capability of fabricating parts directly from digital models without tooling, additive manufacturing (AM) technologies have great potentials for customised products with complex shapes and superior performances. This paper develops that can be used to evaluate the design of product families implemented with additive manufactured modules. The complex commonality index (CCI) is proposed to measure parametric, modular, and process sharing within a product family. Design and production costs of additive manufactured modules are incorporated in the formulation of the CCI. The market share (MS) is formulated to measure a product family's performance based on customer-perceived utilities. A product family design optimisation problem with the CCI and MS as objective functions is proposed. A case study on an Copyright © 2017 Inderscience Enterprises Ltd. R/C racing car family design demonstrates the proposed methodologies, and the result provides designers with Pareto-optimal solutions for additive manufactured module selection and design parameter identification. [Received 18 April 2016; Revised 2 September 2016; Accepted 9 November 2016] Keywords: additive manufacturing; commonality metric; performance metric; product family design; variable platforms. Reference to this paper should be made as follows: Yao, X., Moon, S.K., Bi, G. and Son, H. (2017) ` to evaluate and optimise http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

Commonality and performance metrics to evaluate and optimise the design of additive manufactured product families

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Publisher
Inderscience Publishers
Copyright
Copyright © 2017 Inderscience Enterprises Ltd.
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2017.083654
Publisher site
See Article on Publisher Site

Abstract

With the capability of fabricating parts directly from digital models without tooling, additive manufacturing (AM) technologies have great potentials for customised products with complex shapes and superior performances. This paper develops that can be used to evaluate the design of product families implemented with additive manufactured modules. The complex commonality index (CCI) is proposed to measure parametric, modular, and process sharing within a product family. Design and production costs of additive manufactured modules are incorporated in the formulation of the CCI. The market share (MS) is formulated to measure a product family's performance based on customer-perceived utilities. A product family design optimisation problem with the CCI and MS as objective functions is proposed. A case study on an Copyright © 2017 Inderscience Enterprises Ltd. R/C racing car family design demonstrates the proposed methodologies, and the result provides designers with Pareto-optimal solutions for additive manufactured module selection and design parameter identification. [Received 18 April 2016; Revised 2 September 2016; Accepted 9 November 2016] Keywords: additive manufacturing; commonality metric; performance metric; product family design; variable platforms. Reference to this paper should be made as follows: Yao, X., Moon, S.K., Bi, G. and Son, H. (2017) ` to evaluate and optimise

Journal

International Journal of Manufacturing Research – Inderscience Publishers

Published: Jan 1, 2017

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