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Study on surface texture of Fused Deposition Modeling
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). (Functional Surfaces Research Group)ORCID iD: 0000-0002-2330-0597
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). Research Institute of Sweden, Borås, Sweden.ORCID iD: 0000-0001-7501-8318
Halmstad University, School of Business, Engineering and Science.
Halmstad University, School of Business, Engineering and Science.
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2018 (English)In: Proceedings of the 8th Swedish Production Symposium (SPS 2018) / [ed] Mauro Onori, Lihui Wang, Xi Vincent Wang, Wei Ji, Amsterdam: Elsevier, 2018, Vol. 25, p. 8p. 389-396Conference paper, Published paper (Refereed)
Abstract [en]

Fused Deposition Modeling (FDM) is mostly used to develop functional prototypes and in some applications for end-use parts. It is important to study the surfaces produced by FDM to understand the certainty of process. Truncheon design test artefacts are printed at different print settings and surfaces are measured using stylus profilometer. Taguchi’s design of experiments, signal-to-noise ratio and multiple regression statistics are implemented to establish a concise study of the individual and combined effect of process variables on surface texture parameters. Further, a model is developed to predict the roughness parameters and is compared with experimental values. The results suggest significant roughness parameter values decrease with increase in build inclination and increases with increase in layer thickness except the roughness peak count. © 2018 The Authors. Published by Elsevier B.V

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2018. Vol. 25, p. 8p. 389-396
Series
Procedia Manufacturing, E-ISSN 2351-9789 ; 25
Keywords [en]
Additive manufacturing, Fused Deposition Modeling, Surface texture parameters, Surface roughness
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:hh:diva-38122DOI: 10.1016/j.promfg.2018.06.108OAI: oai:DiVA.org:hh-38122DiVA, id: diva2:1254431
Conference
8th Swedish Production Symposium, SPS 2018, Stockholm, Sweden, 16-18 May, 2018
Projects
Digitalization of the supply chain of the Swedish Additive Manufacturing (DiSAM)Business Model Innovation
Funder
VINNOVAKnowledge Foundation
Note

Funding: VINNOVA, Sweden’s innovation agency and Produktion2030 under the project Digitalization of the supply chain of the Swedish Additive Manufacturing (DiSAM) and Sweden’s The Knowledge Foundation under the project Business Model Innovation when adapting to Digital Production - opportunities and problems.

Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2019-01-03Bibliographically approved

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Reddy, Vijeth VenkataramFlys, OlenaVedantha Krishna, AmoghRosén, Bengt Göran

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Reddy, Vijeth VenkataramFlys, OlenaVedantha Krishna, AmoghRosén, Bengt Göran
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The Rydberg Laboratory for Applied Sciences (RLAS)School of Business, Engineering and Science
Manufacturing, Surface and Joining Technology

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