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A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing

C.A. Griffiths, J. Howarth, G. De Almeida-Rowbotham, A. Rees, R. Kerton, Andrew Rees, Rhian Kerton

Journal of Cleaner Production, Volume: 139, Pages: 74 - 85

Swansea University Authors: Andrew Rees, Rhian Kerton

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DOI (Published version): 10.1016/j.jclepro.2016.07.182

Abstract

Direct digital manufacture and additive manufacture has expanded from rapid prototyping into rapid production and has the possibility to produce personalised high quality products with the batch size of one. Affordable additive manufacturing machines and open source software enables a wide spectrum...

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Published in: Journal of Cleaner Production
ISSN: 0959-6526
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa30250
first_indexed 2016-09-28T19:01:14Z
last_indexed 2018-02-09T05:16:01Z
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spelling 2016-10-17T15:40:53.1542795 v2 30250 2016-09-28 A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing e43e88c74976e714e1d669a898f8470d Andrew Rees Andrew Rees true false 1467a7b9d7e8493f15a1dc3a80332729 Rhian Kerton Rhian Kerton true false 2016-09-28 ACEM Direct digital manufacture and additive manufacture has expanded from rapid prototyping into rapid production and has the possibility to produce personalised high quality products with the batch size of one. Affordable additive manufacturing machines and open source software enables a wide spectrum of users. With a populace empowered with the possibility of producing their own products, this disruptive technology will inevitably lead to a change in energy and material consumption. With such an unpredictable impact on society it is timely to consider the economic and environmental issues of growth in this sector. This work demonstrates a Design of Experiments approach for part optimisation with a consideration of scrap weight, part weight, energy consumption and production time. The main conclusion of this study was that through optimisation of machine build parameters a desired response is possible and compromises between output responses such as scrap and production time can be identified. The research also showed that identical build parameters for different designs can yield different output responses, highlighting the importance of developing design specific models. The scientific value of the work lies in the contribution of new data sets for models in additive manufacturing. Together with the optimisation method adopted, the results allow for a more detailed and accurate assessment of the economic and environmental impact of 3D printed products at the design stage. Journal Article Journal of Cleaner Production 139 74 85 0959-6526 Direct digital manufacture; Additive manufacturing; Design of experiments; Energy consumption; Process optimisation; Rapid prototyping; Rapid manufacture 15 12 2016 2016-12-15 10.1016/j.jclepro.2016.07.182 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2016-10-17T15:40:53.1542795 2016-09-28T17:29:29.9581666 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering C.A. Griffiths 1 J. Howarth 2 G. De Almeida-Rowbotham 3 A. Rees 4 R. Kerton 5 Andrew Rees 6 Rhian Kerton 7 0030250-17102016153949.pdf griffiths2016(2).pdf 2016-10-17T15:39:49.4730000 Output 779138 application/pdf Accepted Manuscript true 2017-07-30T00:00:00.0000000 false
title A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
spellingShingle A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
Andrew Rees
Rhian Kerton
title_short A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
title_full A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
title_fullStr A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
title_full_unstemmed A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
title_sort A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing
author_id_str_mv e43e88c74976e714e1d669a898f8470d
1467a7b9d7e8493f15a1dc3a80332729
author_id_fullname_str_mv e43e88c74976e714e1d669a898f8470d_***_Andrew Rees
1467a7b9d7e8493f15a1dc3a80332729_***_Rhian Kerton
author Andrew Rees
Rhian Kerton
author2 C.A. Griffiths
J. Howarth
G. De Almeida-Rowbotham
A. Rees
R. Kerton
Andrew Rees
Rhian Kerton
format Journal article
container_title Journal of Cleaner Production
container_volume 139
container_start_page 74
publishDate 2016
institution Swansea University
issn 0959-6526
doi_str_mv 10.1016/j.jclepro.2016.07.182
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
document_store_str 1
active_str 0
description Direct digital manufacture and additive manufacture has expanded from rapid prototyping into rapid production and has the possibility to produce personalised high quality products with the batch size of one. Affordable additive manufacturing machines and open source software enables a wide spectrum of users. With a populace empowered with the possibility of producing their own products, this disruptive technology will inevitably lead to a change in energy and material consumption. With such an unpredictable impact on society it is timely to consider the economic and environmental issues of growth in this sector. This work demonstrates a Design of Experiments approach for part optimisation with a consideration of scrap weight, part weight, energy consumption and production time. The main conclusion of this study was that through optimisation of machine build parameters a desired response is possible and compromises between output responses such as scrap and production time can be identified. The research also showed that identical build parameters for different designs can yield different output responses, highlighting the importance of developing design specific models. The scientific value of the work lies in the contribution of new data sets for models in additive manufacturing. Together with the optimisation method adopted, the results allow for a more detailed and accurate assessment of the economic and environmental impact of 3D printed products at the design stage.
published_date 2016-12-15T06:57:59Z
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