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Towards Topography Characterization of Additive Manufacturing Surfaces
Halmstad University, School of Business, Innovation and Sustainability, The Rydberg Laboratory for Applied Sciences (RLAS). Department of Industrial and Materials Science, Chalmers University of Technology.ORCID iD: 0000-0002-8364-202x
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Additive Manufacturing (AM) is on the verge of causing a downfall to conventional manufacturing with its huge potential in part manufacture. With an increase in demand for customized product, on-demand production and sustainable manufacturing, AM is gaining a great deal of attention from different industries in recent years. AM is redefining product design by revolutionizing how products are made. AM is extensively utilized in automotive, aerospace, medical and dental applications for its ability to produce intricate and lightweight structures. Despite their popularity, AM has not fully replaced traditional methods with one of the many reasons being inferior surface quality. Surface texture plays a crucial role in the functionality of a component and can cause serious problems to the manufactured parts if left untreated. Therefore, it is necessary to fully understand the surface behavior concerning the factors affecting it to establish control over the surface quality.

The challenge with AM is that it generates surfaces that are different compared to conventional manufacturing techniques and varies with respect to different materials, geometries and process parameters. Therefore, AM surfaces often require novel characterization approaches to fully explain the manufacturing process. Most of the previously published work has been broadly based on two-dimensional parametric measurements. Some researchers have already addressed the AM surfaces with areal surface texture parameters but mostly used average parameters for characterization which is still distant from a full surface and functional interpretation. There has been a continual effort in improving the characterization of AM surfaces using different methods and one such effort is presented in this thesis.

The primary focus of this thesis is to get a better understanding of AM surfaces to facilitate process control and optimization. For this purpose, the surface texture of Fused Deposition Modeling (FDM) and Laser-based Powder Bed Fusion of Metals (PBF-LB/M) have been characterized using various tools such as Power Spectral Density (PSD), Scale-sensitive fractal analysis based on area-scale relations, feature-based characterization and quantitative characterization by both profile and areal surface texture parameters. A methodology was developed using a Linear multiple regression and a combination of the above-mentioned characterization techniques to identify the most significant parameters for discriminating different surfaces and also to understand the manufacturing process. The results suggest that the developed approaches can be used as a guideline for AM users who are looking to optimize the process for gaining better surface quality and component functionality, as it works effectively in finding the significant parameters representing the unique signatures of the manufacturing process. Future work involves improving the accuracy of the results by implementing improved statistical models and testing other characterization methods to enhance the quality and function of the parts produced by the AM process.

Place, publisher, year, edition, pages
Gothenburg: Chalmers University of Technology , 2020. , p. 55
Series
Thesis for the degree of Licentiate of Engineering ; IMS:2020:8
Keywords [en]
Additive manufacturing, Fused deposition modeling, Laser-based Powder bed fusion, Power spectral density, Scale-sensitive fractal analysis, Feature-based characterization, Profile parameters, Areal surface texture parameters, Multiple regression, Stylus profilometer, Structured light projection, Confocal fusion
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:hh:diva-43753Libris ID: v77qskf1shjzn07mOAI: oai:DiVA.org:hh-43753DiVA, id: diva2:1514078
Presentation
2020-10-29, "Sunnan- och Nordanvinden", Chalmers University of Technology, 5th floor, Hörsalsvägen 7A, Gothenburg, 10:15 (English)
Opponent
Supervisors
Available from: 2021-01-11 Created: 2021-01-04 Last updated: 2021-01-11Bibliographically approved
List of papers
1. Potential approach towards effective topography characterization of 316L stainless steel components produced by selective laser melting process
Open this publication in new window or tab >>Potential approach towards effective topography characterization of 316L stainless steel components produced by selective laser melting process
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2018 (English)In: European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 18th International Conference and Exhibition, EUSPEN 2018, Bedford: euspen , 2018, p. 259-260Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In this paper, an attempt is made to explain the surface texture of Selective Laser Melting (SLM) parts more satisfyingly than the existing methods. Investigations were carried out on the 316L stainless steel SLM samples. To account for most of the surface conditions, a truncheon artefact was employed for the analysis. A Stylus Profilometer was employed as a metrology tool for obtaining the 3D surface measurements. A methodology is proposed to extract and characterize the topographic features of Additive Manufactured (AM) surfaces. Here, the overall roughness of the surface is segregated into the roughness of the powder particles and the waviness due to thermal and the “staircase” effects. Analyzing these features individually results in an increased understanding of the AM process and an opportunity to optimize machine settings.

Place, publisher, year, edition, pages
Bedford: euspen, 2018
Keywords
Surface Metrology, Selective Laser Melting, Profilometer, Areal Surface Parameters, Feature-based characterization
National Category
Materials Engineering
Identifiers
urn:nbn:se:hh:diva-38126 (URN)2-s2.0-85054549685 (Scopus ID)9780995775121 (ISBN)0995775125 (ISBN)
Conference
Euspen’s 18th International Conference & Exhibition, Venice, Italy, 4th-8th June, 2018
Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2021-01-04Bibliographically approved
2. Areal surface topography representation of as-built and post-processed samples produced by powder bed fusion using laser beam melting
Open this publication in new window or tab >>Areal surface topography representation of as-built and post-processed samples produced by powder bed fusion using laser beam melting
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2020 (English)In: Surface Topography: Metrology and Properties, ISSN 2051-672X, Vol. 8, no 2, article id 024012Article in journal (Refereed) Published
Abstract [en]

The increasing interest in Additive Manufacturing (AM) is due to its huge advantage in producing parts without any geometrical limitations. It is due to this reason, AM is extensively utilized in automotive, aerospace, medical and dental applications. Despite their popularity, AM is often associated with inferior surface quality which is one of the many reasons why it has failed to fully replace traditional methods. Hence, AM is always followed by a subsequent post-processing step to produce the end-product. To establish control over the surface quality it is first necessary to fully understand the surface behaviour concerning the factors affecting it. In this paper, the focus is mainly on having a better understanding of the surfaces by using scale-sensitive fractal analysis. In addition, the paper documents the influence of build inclination and post-processing in particular shot blasting on surface topography and utilizes a multi-scale approach to identify the most important scale and parameters for characterization. Results of this study reveal that shot blasting has a minimalistic effect on surface features at a large scale as it cannot remove the waviness completely. At smaller scales, blasting imparts additional features on the surface due to the impact of abrasive particles at high pressure. At the intermediate scales, the influence of shot blasting is highest as it successfully eliminates the surface features comprising of partially melted powder particles and stair-step effect. © 2020 IOP Publishing Ltd.

Place, publisher, year, edition, pages
Bristol: Institute of Physics Publishing (IOPP), 2020
Keywords
additive manufacturing, areal surface texture parameters, laser beam melting, powder based fusion, scale sensitive fractal analysis, shot blasting, surface metrology
National Category
Manufacturing, Surface and Joining Technology
Identifiers
urn:nbn:se:hh:diva-43223 (URN)10.1088/2051-672X/ab9b73 (DOI)000546783000001 ()2-s2.0-85087902603 (Scopus ID)
Available from: 2020-12-08 Created: 2020-12-08 Last updated: 2021-01-04Bibliographically approved
3. Influence of different post-processing methods on surface topography of fused deposition modelling samples
Open this publication in new window or tab >>Influence of different post-processing methods on surface topography of fused deposition modelling samples
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2020 (English)In: Surface Topography: Metrology and Properties, ISSN 2051-672X, Vol. 8, no 1Article in journal (Refereed) Published
Abstract [en]

Additive Manufacturing (AM) is gaining prominence due to its massive advantage in fabricating components without any geometrical limitations. The most widely used AM technique is Fused Deposition Modelling (FDM). FDM is an extrusion-based AM mostly focused on producing functional prototypes and in some cases as an end-product. One of the most common challenges associated with FDM is its reduced dimensional accuracy and surface quality. A fair amount of research has been carried out to identify the factors affecting print quality and measures to reduce surface roughness. On a few occasions, it is still necessary to achieve higher precision and quality to meet the standards set by conventional manufacturing. Hence, post-processing is employed as an additional step to reach the finish required. This paper focuses on enhancing the surface quality of FDM parts by subjecting it to Acetone vapour smoothening, Shot-blasting and Laser-assisted finishing post-processing methods. A comparative study is presented in this paper, where surface produced by different post-processing methods were compared to the reference injection moulding components. The results suggest that the acetone-based process has the best surface finish compared to the other two means; however, it leaves a very glossy appearance to the part. Shot blasting is very aggressive, and blasting time has a strong influence on the part quality. Laser-assisted finishing slightly ignites the top layer during melting leading to discolouration of the part. The optimum solution was found to be combining the post-processes, which not only reduced the roughness but also enhanced the aesthetic properties of the product. © 2020 IOP Publishing Ltd.

Place, publisher, year, edition, pages
Bristol: Institute of Physics Publishing (IOPP), 2020
Keywords
additive manufacturing, fused deposition modelling, post processing, surface metrology, areal surface texture parameters, profilomete, power spectral density
National Category
Manufacturing, Surface and Joining Technology
Identifiers
urn:nbn:se:hh:diva-43270 (URN)10.1088/2051-672X/ab77d7 (DOI)000517480500001 ()2-s2.0-85081609918 (Scopus ID)
Funder
Vinnova
Note

Funding Agency: TyloHelo Company 

Available from: 2020-12-08 Created: 2020-12-08 Last updated: 2024-12-02Bibliographically approved
4. Study on surface texture of Fused Deposition Modeling
Open this publication in new window or tab >>Study on surface texture of Fused Deposition Modeling
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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. p. 8
Series
Procedia Manufacturing, E-ISSN 2351-9789 ; 25
Keywords
Additive manufacturing, Fused Deposition Modeling, Surface texture parameters, Surface roughness
National Category
Manufacturing, Surface and Joining Technology
Identifiers
urn:nbn:se:hh:diva-38122 (URN)10.1016/j.promfg.2018.06.108 (DOI)000547903500050 ()2-s2.0-85060107757 (Scopus ID)
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: 2023-10-05Bibliographically approved

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Vedantha Krishna, Amogh

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