An additive manufacturing process model for product family design

LEI, Ningrong, YAO, Xilin, MOON, Seung Ki and BI, Guijun (2016). An additive manufacturing process model for product family design. Journal of Engineering Design, 27 (11), 751-767.

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Abstract

Additive manufacturing (AM) is projected to have a profound impact on mass customisation. In order to benefit from this new technology, we need to incorporate AM into design processes. This paper addresses that need by introducing an AM process model for product family design. The proposed model reflects the ability of AM to produce customised and complex parts without tooling efforts. By utilising AM, we eliminate all constraints which arise in conventional product family designs from finding a compromise between commonality and performance. The proposed model starts by identifying design requirements and constraints. Subsequently, we use topology optimisation to determine an optimal design for each product. Next, finite element analysis and cost analysis are performed. We combine the analysis results in one three-dimensional plot, which displays the merits of the individual component realisations. Thus, a fair and competitive component evaluation is possible and the most suitable product family design can be selected. The final designs are fabricated using fused desposition modelling. A case study is conducted to illustrate how the proposed model facilitates the benefits of AM. The results show that the proposed model has the potential to provide affordable customisation.

Item Type:	Article
Uncontrolled Keywords:	Additive manufacturing, product family design, fused deposit modelling, topology optimisation, finite element analysis
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number:	https://doi.org/10.1080/09544828.2016.1228101
Page Range:	751-767
Depositing User:	Ningrong Lei
Date Deposited:	26 Jan 2018 11:43
Last Modified:	18 Mar 2021 00:40
URI:	https://shura.shu.ac.uk/id/eprint/18500

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