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Effect of X-ray Computed Tomography Magnification on Surface Morphology Investigation of Additive Manufacturing Surfaces
Örebro University, School of Science and Technology. (Mechanical engineering)ORCID iD: 0000-0003-1286-3420
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-9362-8328
Technical University of Denmark, Kongens Lyngby, Denmark.
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-1408-2249
2018 (English)In: 8th Conference on Industrial Computed Tomography, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Additive manufacturing (AM) in the last decade has become a widespread manufacturing process. The possibilities that such technologies have provided for manufacturing of complex geometries compared to conventional manufacturing processes has made them popular in many branches of industry. Despite the advantages of these methods, there are limiting issues which needs to be thoroughly investigated. A limiting factor, especially for powder bed AM parts is their undesired surface finish. AM surfaces can be investigated using various methods such as optical or tactile methods, however for complex AM surfaces they are incapable of capturing all details such as deep valleys at surface level. X-ray computed tomography (CT), can provide 3D information of complex AM surfaces and does not have limitations that line of sight and tactile methods have. There are several parameters in CT investigation, which can potentially alter the obtained results. Depending on the CT magnification at which the data is acquired the result specifically surface level detail might be affected. The aim of this study is to investigate the effect of different CT magnifications on surface texture measurement of additively manufactured surfaces. Surface features, including highest peaks and deepest valleys contributing to maximum and minimum thickness of specimen from different magnifications were compared with each other. The result shows that, the lower magnification scans underestimate both peak and valley measurements in comparison to the highest magnification scan. Measurement of valleys and re-entrant features were underestimated at more considerable level. The results from this study provide some understanding regarding surface morphology assessment of AM parts and the level of detail which can be expected depending on the CT magnification.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Computed tomography, Additive manufacturing, Surface texture
National Category
Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-65426OAI: oai:DiVA.org:oru-65426DiVA, id: diva2:1187057
Conference
iCT conference 2018, Wels, Austria, 7 February, 2018
Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2019-08-27Bibliographically approved
In thesis
1. Application of X-ray Computed Tomography for Assessment of Additively Manufactured Products
Open this publication in new window or tab >>Application of X-ray Computed Tomography for Assessment of Additively Manufactured Products
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Additive Manufacturing (AM) is a novel method for fabricating parts from three-dimensional model data, usually by joining materials in layer upon layer fashion. The freedom of design in this method has resulted in new possibilities for fabrication of parts with complex geometries. Manufacturing nearnet- shape parts as well as geometrically complex components such as periodic cellular structures that are used in lightweight structural components, has made AM a promising manufacturing method in industry.

Despite the numerous advantages of the AM methods, the imperfections associated with the manufacturing processes has limited the application of additively manufactured parts. Porosity and surface texture of AM parts especially those fabricated using Laser Powder Bed Fusion (LPBF) methods, have been studied in this thesis. It was observed that the mentioned imperfections have a considerable impact on the mechanical performance of thin-wall structures that are the constituting units of surface-based periodic cellular structures. The quality of internal structure in components fabricated using Fused Deposition Modelling (FDM) and its effect on the strength of those components were the other issues investigated in this thesis.

In order to investigate the mechanical strength of AM parts, as the result of mentioned mesoscale imperfections, appropriate evaluation methods that are capable of quantitatively assessing these imperfections are required. X-ray Computed Tomography (CT), a non-destructive evaluation method, has shown high capabilities for providing useful and reliable geometrical information of both internal and external features of AM components. The challenges involved with the application of CT for assessment of AM component are also studied in this thesis.

Apart from the contributions of this thesis on how CT may be used in AM field, the results of this thesis has provided insight into the design process of cellular structures. This thesis has provided essential information about the strength dependency of thin-walls as the result of mesoscale fabrication defects and how these defects are dependent on the selected material and design of the structure.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2019. p. 61
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 85
Keywords
Additive manufacturing, X-ray computed tomography, Surface roughness
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-75190 (URN)978-91-7529-296-0 (ISBN)
Public defence
2019-09-17, Örebro universitet, Långhuset, Hörsal L1, Fakultetsgatan 1, Örebro, 09:15 (English)
Opponent
Supervisors
Available from: 2019-07-22 Created: 2019-07-22 Last updated: 2019-08-30Bibliographically approved

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Effect of X-ray Computed Tomography Magnifi cation on Surface Morphology Investigation of Additive Manufacturing Surfaces(3144 kB)102 downloads
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Zekavat, Amir RezaJansson, AntonPejryd, Lars

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