Yang, J. and Liu, Y. (2020) Energy, time and material consumption modelling for fused deposition modelling process. Procedia CIRP, 90, pp. 510-515. (doi: 10.1016/j.procir.2020.02.130)
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Abstract
Additive manufacturing (AM) provides an evolutionary paradigm for the next generation of manufacturing. However, the understanding of AM's pattern is not sufficient in manufacturing time, energy and material consumptions. This study aims to provide a flexible and modular modelling method for the aforementioned indicators based on the path planning code and machine characteristics. It enables an accurate consumption prediction from an arbitrary manufacturing task at prefabrication phase and allows users to customise parameters to reduce consumptions. With a small number of experiments on different machine, this method is suitable for other related manufacturing technologies using numerical control programming.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Liu, Dr Ying |
Creator Roles: | |
Authors: | Yang, J., and Liu, Y. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | Procedia CIRP |
Publisher: | Elsevier |
ISSN: | 2212-8271 |
ISSN (Online): | 2212-8271 |
Published Online: | 06 August 2020 |
Copyright Holders: | Copyright © 2020 The Authors |
First Published: | First published in Procedia CIRP 90:510-515 |
Publisher Policy: | Reproduced under a Creative Commons licence |
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