Process selection methodology for near net shape manufacturing
Marini, Daniele and Corney, Jonathan R. (2020) Process selection methodology for near net shape manufacturing. International Journal of Advanced Manufacturing Technology, 106 (5-6). pp. 1967-1987. ISSN 1433-3015 (https://doi.org/10.1007/s00170-019-04561-w)
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Abstract
This paper presents a new selection methodology that for the first time supports the identification of Near Net Shape (NNS) processes. The methodology, known as "Product, Geometry, Manufacturing and Materials Matching" (ProGeMa3), is composed of four steps, which aim to minimize raw material usage and machining by adopting a NNS approach. A key component of the methodology is the Process Selection Matrix (ProSMa) that associates a component’s shape and production volume with its material requirements to reduce the number of candidate NNS processes. A final selection is then made from this shortlist by using fuzzy logic and considering other constraints and functional requirements. The ProGeMa3 selection process is illustrated by its application to an industrial component that resulted in changes to the processes used for its commercial manufacture. The ProGeMa3 and ProSMa presented in this paper aspires to be current and comprehensive for solid metallic components produced by casting, forging and additive technologies. However, ProSMa is also accessible as an open source resource available for other researcher to extend and adapt.
ORCID iDs
Marini, Daniele ORCID: https://orcid.org/0000-0003-3672-6017 and Corney, Jonathan R. ORCID: https://orcid.org/0000-0003-1210-3827;-
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Item type: Article ID code: 70443 Dates: DateEvent31 January 2020Published14 December 2019Published Online5 October 2019AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Design, Manufacture and Engineering Management > National Manufacturing Institute Scotland
Strategic Research Themes > Innovation Entrepreneurship
Faculty of Engineering > Design, Manufacture and Engineering ManagementDepositing user: Pure Administrator Date deposited: 06 Nov 2019 14:28 Last modified: 15 Nov 2024 01:12 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70443