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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26560

Title: A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms
Authors: Gleadall, Andrew
Vladov, Nikola
Segal, Joel
Ratchev, S.
Plasch, Matthias
Kimmig, Daniel
Dickerhof, Markus
Keywords: Design for manufacture
Process chain selection
Hybrid manufacture
Feature-based design
Decision support
Issue Date: 2016
Publisher: © Springer Verlag
Citation: GLEADALL, A. ...et al., 2016. A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms. International Journal of Advanced Manufacturing Technology, pp. 87(1-4), pp. 553–569.
Abstract: © 2016 Springer-Verlag London This paper presents a methodology for the transformation of a product concept into a detailed design and manufacturing process chain for hybrid manufacturing platforms. Hybrid platforms offer new capabilities and opportunities for product design. However, they require high levels of process expertise for effective design and effective process selection. Design for hybrid manufacture is challenging as there is a requirement to understand a number of technologies, which may be highly varied. To address this challenge, a knowledge-based decision support system developed in this paper enables manufacturing expertise to be integrated into procedures for product design and process chain selection. This formalised numerical methodology is able to consider a wider range of varied manufacturing processes than any previous study. A feature-based design method is developed, which guides the designer towards an optimised product design during the embodiment design phase, and a process chain selection program is utilised to enable the effective analysis of a product design based on product evaluation criteria. The methodology has been successfully applied to the design of an LED product with internal geometries and electronics.
Description: The final publication is available at Springer via https://doi.org/10.1007/s00170-016-8514-7
Sponsor: The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement number 314580.
Version: Accepted for publication
DOI: 10.1007/s00170-016-8514-7
URI: https://dspace.lboro.ac.uk/2134/26560
Publisher Link: https://doi.org/10.1007/s00170-016-8514-7
ISSN: 0268-3768
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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