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Topography characterization of fused deposition modelling surfaces
Halmstad University, School of Business, Innovation and Sustainability, The Rydberg Laboratory for Applied Sciences (RLAS). (Functional Surfaces Research Group)ORCID iD: 0000-0002-2330-0597
Halmstad University, School of Business, Innovation and Sustainability, The Rydberg Laboratory for Applied Sciences (RLAS). RISE Research Institutes of Sweden, Borås, Sweden.ORCID iD: 0000-0001-7501-8318
Halmstad University, School of Business, Innovation and Sustainability, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0002-8364-202x
Halmstad University, School of Business, Innovation and Sustainability, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0001-8058-1252
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Deemed as one of the established additive manufacturing technique, fused deposition modelling (FDM) is commonly used for creating functional prototypes. Additive manufacturing, in general, generates surfaces that are different compared to conventional manufacturing and consists of features that are either not well-defined or satisfactorily characterized using the existing surface standards. The generated surfaces vary with respect to different techniques, materials, geometries and process parameters Additive manufacturing boosts of manufacturing individualized parts and as claimed, product with complex design can be easily manufactured but the problem lies in manufacturing it with highest surface quality or produce a well-defined robust surface. The aim of the study is to characterize the FDM surfaces generated at different process settings using areal surface parameters. The experimental study includes surface measurements of study sample build at different orientation and layer thickness. A general statistical methodology is implemented to identify the deterministic features on the manufactured surface. The results include topography characterization using the significant features and detailed study on the influence of geometry and process settings on FDM surfaces.

Place, publisher, year, edition, pages
2017.
Keywords [en]
Additive manufacturing (AM), Fused Deposition Modelling (FDM), Surface Topography, Areal surface parameters
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:hh:diva-41967OAI: oai:DiVA.org:hh-41967DiVA, id: diva2:1426428
Conference
Joint Special Interest Group meeting between euspen and ASPE Dimensional Accuracy and Surface Finish in Additive Manufacturing, KU Leuven, Leuven, Belgium, 10-11 October, 2017
Available from: 2020-04-25 Created: 2020-04-25 Last updated: 2021-02-05Bibliographically 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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