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Rosén, Bengt GöranORCID iD iconorcid.org/0000-0001-8058-1252
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Publications (10 of 152) Show all publications
Rebeggiani, S. & Rosén, B. G. (2023). A measure of perceived quality to secure the polishability of new paint systems. Surface Topography: Metrology and Properties, 11(2), Article ID 024006.
Open this publication in new window or tab >>A measure of perceived quality to secure the polishability of new paint systems
2023 (English)In: Surface Topography: Metrology and Properties, E-ISSN 2051-672X, Vol. 11, no 2, article id 024006Article in journal (Refereed) Published
Abstract [en]

The automotive industry continuously strives to reduce their environmental impact. For the paint shop it means to introduce more sustainable paint concepts, while maintaining the production rate and retain the right surface appearance that is crucial for the vehicle’s perceived quality. Today most painted parts are visually inspected and, if needed, manually repaired by abrasive polishing to eliminate spot defects. The repair process consists of one sanding step to remove the defect, and one or two rubbing/polishing steps to restore the surface, but still it tends to be a non-reliable process leaving patterns or clusters of shallow micro scratches seen as three-dimensional shapes moving over the surface when viewed from different angles like holograms. These so called ‘polishing roses’ are hard to detect in artificial light but clearly visible in Sunlight and therefore they constitute a constant quality issue. Accurate polishing procedures in combination with more objective inspection techniques would secure a high surface quality—but what is ‘accurate’? The overall scope of the study was to deepen the knowledge of paint systems to develop test routines for the polishability of coatings already during the development stage, and thereby ease the implementation of new coating systems in production. The study was based on collected process data from professional polishers to define a process window based on key parameters for successful end-of-line repairs of coated surfaces, i.e. strategies minimizing the occurrence of visible polishing traces. A CNC-machine was built up for the purpose to systematically test and evaluate new coating systems and repair procedures. The surface estimation was made by visual inspections as well as by a further developed photometric stereo system providing quantitative images of remaining repair traces. © 2023 IOP Publishing Ltd

Place, publisher, year, edition, pages
Bristol: Institute of Physics (IOP), 2023
Keywords
abrasive polishing, metrology, paint system, perceived quality, visual inspection
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hh:diva-51447 (URN)10.1088/2051-672X/acd869 (DOI)000999903400001 ()2-s2.0-85161565204 (Scopus ID)
Funder
Vinnova, 201506889
Available from: 2023-08-17 Created: 2023-08-17 Last updated: 2023-08-17Bibliographically approved
Reddy, V. V., Vedantha Krishna, A., Sjögren, A. & Rosén, B. G. (2023). Characterisation and analysis of the surface texture of injection-moulded automotive interior ABS and PP components. The International Journal of Advanced Manufacturing Technology, 128(9-10), 4579-4592
Open this publication in new window or tab >>Characterisation and analysis of the surface texture of injection-moulded automotive interior ABS and PP components
2023 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 128, no 9-10, p. 4579-4592Article in journal (Refereed) Published
Abstract [en]

Interior automotive plastic components are often manufactured by injection moulding since this technique enables cost-efficient manufacturing, large design freedom, and easy integration of functions. However, to obtain a high-quality impression, it is important to produce components with uniformity in texture, colour, and gloss. Unfortunately, this is rather difficult since a large number of material and processing parameters affect the surface topography and thereby the texture, colour, and gloss. It is therefore important to improve the understanding of how different material and processing parameters affect the surface topography, and in the present study, the influence on surface topography of ABS (Acrylonitrile Butadiene Styrene) and PP (Polypropylene) by melt temperature, tool temperature, and injection speed is investigated by coherence scanning interferometry. Area scale analysis is used to identify the wavelengths of interest, and areal surface parameters are statistically screened to identify robust surface parameters that can be used to discriminate between the surfaces and quantify the influence on surface topography by different material and process variables. Results from the study suggest that tool temperature and injection speed have significant influence on certain surface parameters and, particularly, arithmetic mean height (Sa) and root mean square gradient (Sdq) by approximately 40%, core material volume (Vmc) by 35%, and core roughness depth (Sk) by 50%. These surface parameters are identified as significant and used to discriminate between the sample surfaces. © 2023, The Author(s).

Place, publisher, year, edition, pages
London: Springer, 2023
Keywords
Area scale analysis, Areal surface parameters, Injection moulding, Interferometry, Surface texture, Thermoplastics
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Identifiers
urn:nbn:se:hh:diva-51636 (URN)10.1007/s00170-023-12209-z (DOI)001057032300004 ()2-s2.0-85169324363 (Scopus ID)
Funder
Vinnova
Note

Alternative titel in thesis: Controlling the visual appearance and texture of injection molded automotive components

Funding: Open access funding provided by Halmstad University. The authors acknowledge the support of Vinnova (Sweden’s governmental innovation agency), The Strategic Vehicle Research and Innovation Programme (FFI), The Strategic Innovation Programme Production2030, robust injection moulding of automotive components with low environmental impact 2018-02689, and robust texture design for circular polymers—ROPY 2022-02459.

Available from: 2023-09-20 Created: 2023-09-20 Last updated: 2024-01-03Bibliographically approved
Barth, H., Vedantha Krishna, A., Reddy, V. V. & Rosén, B. G. (2023). From Traditional Manufacturing to Digital Manufacturing: Two Swedish Case Studies. In: Aldieri, Luigi (Ed.), Innovation - Research and Development for Human, Economic and Institutional Growth [Working Title]: . London: InTech
Open this publication in new window or tab >>From Traditional Manufacturing to Digital Manufacturing: Two Swedish Case Studies
2023 (English)In: Innovation - Research and Development for Human, Economic and Institutional Growth [Working Title] / [ed] Aldieri, Luigi, London: InTech, 2023Chapter in book (Refereed)
Abstract [en]

Digital manufacturing can produce new and advanced tools more rapidly and at lower cost than traditional manufacturing. This new technology means manufacturers need to develop innovative business models adapted to this change in the manufacturing landscape. With digital manufacturing, companies have both an opportunity and a challenge. They can enter new markets where large-scale production provides competitive advantage. They can enter niche markets that become more attractive as old boundaries and structures lose relevance. Yet their additive manufactured components must meet the same standards set for conventional manufactured components. However, we know little about how companies manage this change as they make the transition from traditional manufacturing to digital manufacturing. This chapter presents two co-creation digital manufacturing projects between university researchers and Swedish companies. In each project, the goal was to develop sustainable and efficient digital production methods that offer tailor-made product solutions. Various technical methods used in the projects are described as materials, and prototypes are developed, tested, and analyzed.

Place, publisher, year, edition, pages
London: InTech, 2023
Keywords
additive manufacturing, business model, digital manufacturing, co-creation, FabLab
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Smart Cities and Communities, PROACTS
Identifiers
urn:nbn:se:hh:diva-52366 (URN)10.5772/intechopen.111862 (DOI)
Available from: 2024-01-05 Created: 2024-01-05 Last updated: 2024-01-05Bibliographically approved
Braun, G., Stahre, J., Rosén, B. G. & Bokinge, M. (2023). Ingenjör4.0 - A National Upskilling Programme to Bridge Industry's Skill Gap. In: Khumbulani Mpofu; Natasha Sacks; Oliver Damm (Ed.), Procedia CIRP: . Paper presented at 56th CIRP International Conference on Manufacturing Systems, Cape Town, South Africa, 24-26 October, 2023 (pp. 1286-1291). Amsterdam: Elsevier, 120
Open this publication in new window or tab >>Ingenjör4.0 - A National Upskilling Programme to Bridge Industry's Skill Gap
2023 (English)In: Procedia CIRP / [ed] Khumbulani Mpofu; Natasha Sacks; Oliver Damm, Amsterdam: Elsevier, 2023, Vol. 120, p. 1286-1291Conference paper, Published paper (Refereed)
Abstract [en]

Manufacturing industry needs major transformation to meet disruptive environmental, social, and economic challenges, thus requiring a highly skilled workforce. This paper presents key functionalities, results, and best-practices for the launch and operation of a national upskilling platform. The Swedish upskilling programme Ingenjör 4.0's operations have been constantly user-monitored through participant surveys measuring appreciation for training content from the participants and identifying areas with potential for improvement. Thematic analysis of 137 survey responses identified dimensions relevant for an upskilling programme's success. Results show that success factors and hurdles typically lie within the following dimensions: relevance, organization and structure, working life competencies, support from teachers, and collaboration with other learners. The paper concludes that national programmes like Ingenjör4.0 can, in a short time, have deep impact on skill levels for manufacturing industries in areas such as industrial digitalization. Highlighted success factors are: participant appreciation of highly relevant content, collaboration with other participants, highly competent teachers, and the collaboration between universities. Obstacles for the learners are feelings of mismatch in challenges and prior knowledge, lack of feedback and applicable working life examples in the teaching, and the need for increased collaboration with other participants. © 2023 The Authors. 

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2023
Series
Procedia CIRP, E-ISSN 2212-8271 ; 120
Keywords
Digitalization, Future of Work, Industry 4.0, Upskilling
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:hh:diva-52786 (URN)10.1016/j.procir.2023.09.164 (DOI)2-s2.0-85184567380 (Scopus ID)
Conference
56th CIRP International Conference on Manufacturing Systems, Cape Town, South Africa, 24-26 October, 2023
Available from: 2024-02-29 Created: 2024-02-29 Last updated: 2024-02-29Bibliographically approved
Rebeggiani, S., Bergman, M., Rosén, B. G. & Eriksson, L. (2023). On communicating extruded aluminium surface quality along the supply chain - a customer approach to sustainable surfaces. Surface Topography: Metrology and Properties, 11(1), Article ID 014013.
Open this publication in new window or tab >>On communicating extruded aluminium surface quality along the supply chain - a customer approach to sustainable surfaces
2023 (English)In: Surface Topography: Metrology and Properties, ISSN 2051-672X, Vol. 11, no 1, article id 014013Article in journal (Refereed) Published
Abstract [en]

Today, far too many products are scrapped due to surface related issues, products with perfect function but with minor surface blemishes. The complaints are often offset by goodwill commitments from suppliers at great cost to them and delivery delays and lead time costs for customers. The reason is that the industry relies on several non-standardized classification systems for surface quality that are based on various combinations of and designations for surface defects, assessed by visual inspections at a defined distance to determine the severity of any detected surface deviations. These similar classification systems provide far too much scope for subjective and non-repeatable assessments causing communication problems between customer and producer at all stages in the supply chain. To challenge this situation, a common toolbox to communicate, describe and define surface quality should be developed, i.e. a standardisation of surface quality assessment including various effects and defects with a jointly established nomenclature and evaluation parameters. This work presents the first step of a research project bringing together 11 suppliers and OEMs along the supply chain, from the delivery of raw aluminium to finished alumina profiles included in consumer products. The final goal of the project is to develop an ‘objective classification of visual requirements’ on alumina profiles towards increased sustainability and decreased material wastage. Presented result is a common terminology with links to the process chain, surface defect geometry and visual appearance aiming at making the communication between producers and buyers of the aluminium profiles clearer and more unambiguous when it comes to specification and requirements of profile surfaces in each of the supply-chain links. Future work will add measurable parameters specifying surface quality. © 2023 IOP Publishing Ltd

Place, publisher, year, edition, pages
Bristol: Institute of Physics Publishing (IOPP), 2023
Keywords
aluminium, perceived quality, surface defects, sustainability
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:hh:diva-51221 (URN)10.1088/2051-672X/acc544 (DOI)000957633400001 ()2-s2.0-85151372027 (Scopus ID)
Available from: 2023-07-06 Created: 2023-07-06 Last updated: 2023-07-06Bibliographically approved
Vedantha Krishna, A., Reddy, V. V., Dexter, D. W., Wälivaara, D. Å., Abrahamsson, P., Rosén, B. G. & Anderud, J. (2023). Quality assurance of stereolithography based biocompatible materials for dental applications. Surface Topography: Metrology and Properties, 11(1), Article ID 014008.
Open this publication in new window or tab >>Quality assurance of stereolithography based biocompatible materials for dental applications
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2023 (English)In: Surface Topography: Metrology and Properties, ISSN 2051-672X, Vol. 11, no 1, article id 014008Article in journal (Refereed) Published
Abstract [en]

Additive Manufacturing (AM) is increasingly being used in healthcare sectors for its potential to fabricate patient-specific customized implants, and specifically in dentistry, AM finds its applications in maxillofacial implants, dentures, and other prosthetic aids. However, in most applications, AM is largely being used for prototyping purposes. The full-scale realization of AM can only be achieved if the downsides of AM are addressed and resolved. Hence this paper focuses on providing a detailed analysis of surface quality, dimensional accuracy, and mechanical properties of the biocompatible material produced, using the Stereolithography (SLA) method for a dental application. For quality analysis, test artefacts were produced, and the quality was assessed before and after the sterilization process. The results suggest that micro-surface roughness essential for cell growth is similar for all build inclinations and well within the control limit required for effective bone regeneration. Multi-scale surface characterization revealed that the sterilization process involving heat can potentially alter the micro-roughness features of resin-based materials. The results from the dimensional analysis show that the SLA parts produced had negligible dimensional deviations from the CAD model to the printed parts and were unaffected by the sterilization process. The tensile test results suggest that the part orientation does not affect the tensile strength and that the sterilization process seems to have an insignificant effect on the tensile properties of the SLA parts. Furthermore, the results were validated by producing a membrane barrier for Guided Bone Regeneration (GBR). The validation results showed that excess resin entrapment was due to the geometrical design of the membrane barrier. In conclusion, this paper provides an overview of quality variations that can help in optimizing the AM and sterilization process to suit dental needs. © 2023 IOP Publishing Ltd.

Place, publisher, year, edition, pages
Bristol: Institute of Physics Publishing (IOPP), 2023
Keywords
additive manufacturing, autoclave sterilization process, dental application, dimensional accuracy, surface metrology, tensile properties, topography characterization
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:hh:diva-50251 (URN)10.1088/2051-672X/acbe54 (DOI)000945276300001 ()2-s2.0-85149878416 (Scopus ID)
Note

This research work is a joint effort from the researchers at Halmstad University and Maxillofacial doctors at the Region Halland hospital in Halmstad. The authors would like to acknowledge the contribution of other members who assisted in this project such as the staff/nurses in Region Halland hospital for sterilizing the samples and colleagues at Halmstad University in the Functional surfaces research group for their input.

Available from: 2023-04-05 Created: 2023-04-05 Last updated: 2023-04-05Bibliographically approved
Reddy, V. V., Vedantha Krishna, A., Sjögren, A. & Rosén, B. G. (2023). Surface characterization and analysis of textured injection moulded PC-ABS automotive interior components. Surface Topography: Metrology and Properties, 11(1)
Open this publication in new window or tab >>Surface characterization and analysis of textured injection moulded PC-ABS automotive interior components
2023 (English)In: Surface Topography: Metrology and Properties, E-ISSN 2051-672X, Vol. 11, no 1Article in journal (Refereed) Published
Abstract [en]

Automotive interior components are produced by injection moulding due to its cost effectiveness in mass production. The surfaces of these components are textured to control the appearance and other surface functional properties such as wear and scratch resistance. Key challenges lie in replicating the features of mould tool with high aspect ratio which are influenced by the polymer and large number of process variables. Hence, to control the aesthetic properties, it is important to improve the understanding of the replication of textured surfaces and its relationship with measured gloss. In this study, the surface topography of PC-ABS samples is investigated using coherence scanning interferometry. Replication of two types- coarse and fine grain surface texture are investigated to identify the effects of tool temperature, injection speed and holding pressure. Areal surface parameters are scrutinized for the quantitative characterization and discrimination of study samples surface topographies. The correlations between process parameters, measured gloss and areal surface parameters are discussed. The results show significant influence of process variables on the replication of surface topography and measured gloss. The grain pattern governed the set of surface parameters selected and the variation in gloss. The process variables are observed to influence different region or distribution of specific surface features represented by surface parameters. © 2023 IOP Publishing Ltd.

Place, publisher, year, edition, pages
Bristol: Institute of Physics (IOP), 2023
Keywords
areal surface parameters, gloss, injection moulding, interferometer, surface texture
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Identifiers
urn:nbn:se:hh:diva-50154 (URN)10.1088/2051-672X/acb4b0 (DOI)000918553900001 ()2-s2.0-85147142825 (Scopus ID)
Available from: 2023-08-09 Created: 2023-08-09 Last updated: 2023-08-09Bibliographically approved
Rebeggiani, S., Bergman, M., Rosén, B. G. & Eriksson, L. (2022). Towards an objective classification of extruded aluminum surfaces - a literature review and case study. In: Amos H.C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium, SPS 2022, Skövde, Sweden, 26-29 April, 2022 (pp. 51-62). Amsterdam: IOS Press, 21
Open this publication in new window or tab >>Towards an objective classification of extruded aluminum surfaces - a literature review and case study
2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H.C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam: IOS Press, 2022, Vol. 21, p. 51-62Conference paper, Published paper (Refereed)
Abstract [en]

Large costs and lead-time losses are created by returned aluminum products - to a great extent unnecessarily. Much of the metal product complaints are due to visual surface defects. Today, the aluminum industry relies on several non-standardized classification systems for surface quality assessments which provides far too much scope for subjective and non-repeatable surface estimations. To challenge this situation, a common toolbox to describe and define surface quality in a more objective way needs to be developed. A first step towards such standardization is to speak the same language, thus this study is based on a state-of-the-art survey covering terminology and descriptions of surface defects in literature, and a round-robin assessment collecting terms used by employees at seven companies within the aluminum industry. The literature study showed that most attempts to catalog and categorized various types of defects on commercial aluminum extrusions are based on the origin of defects and how to prevent and/or reduce them, thus the vocabulary is production-oriented and most terms are not useful from the customers’ nor the designers’ point of view when coming to describe desired surface effect, i.e. perceived surface quality. The round-robin assessment confirmed the large variation of terminology used, and that defects were judged differently also within the same company due to experience and field of work. A common vocabulary is suggested to be based on the relationships between used expressions; from general terms at stages linked to consumers, designers and sale, tracing towards more technical terms the closer the stage where the origin of the defect can be found. This structure, in combination with e.g. manufacturing cost, is expected to guide customers towards more sustainable surface quality choices that, together with more consistent surface assessments along the production chain, is expected to strongly reduce unnecessary scrapping. © 2022 The authors and IOS Press.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2022
Series
Advances in Transdisciplinary Engineering ; 21
Keywords
Aluminum, Surface defects, perceived quality, Kansei engineering
National Category
Mechanical Engineering
Research subject
Smart Cities and Communities
Identifiers
urn:nbn:se:hh:diva-48238 (URN)10.3233/ATDE220125 (DOI)2-s2.0-85132844317 (Scopus ID)978-1-64368-268-6 (ISBN)978-1-64368-269-3 (ISBN)
Conference
10th Swedish Production Symposium, SPS 2022, Skövde, Sweden, 26-29 April, 2022
Funder
Vinnova, 2019-03568Swedish Research Council FormasSwedish Energy Agency
Note

Funding: The project (2019-03568) is carried out with financial support from the Strategic Innovation Programme Metallic Materials, a joint venture of Vinnova, the Swedish Governmental Agency for Innovation Systems, Formas and The Swedish Energy Agency. 

Available from: 2022-10-03 Created: 2022-10-03 Last updated: 2023-02-10Bibliographically approved
Vedantha Krishna, A., Flys, O., Reddy, V. V., Berglund, J. & Rosén, B. G. (2020). Areal surface topography representation of as-built and post-processed samples produced by powder bed fusion using laser beam melting. Surface Topography: Metrology and Properties, 8(2), Article ID 024012.
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
Vedantha Krishna, A., Faulcon, M., Timmers, B., Reddy, V. V., Barth, H., Nilsson, G. & Rosén, B. G. (2020). Influence of different post-processing methods on surface topography of fused deposition modelling samples. Surface Topography: Metrology and Properties, 8(1)
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: 2021-01-04Bibliographically approved
Projects
Nanoscopic control of production tools for the polymer industry [2012-00752_Vinnova]; Halmstad UniversityCompetence- and Technology transfer in co-operation -a pre-study [2013-05028_Vinnova]; Halmstad UniversityInnovative Production Education in Co-operation an intrument in Produktion2030 [2014-06102_Vinnova]; Halmstad UniversityEasy Life with 3D [2015-04253_Vinnova]; Halmstad UniversityPADOK - Study Visit to India 2016 [2016-03583_Vinnova]; Halmstad UniversityPADOK - Study Visit to India 2016 [2016-04001_Vinnova]; Halmstad UniversityMaster 4.0 -A national education initiative for Industry 4.0 [2017-02461_Vinnova]; Halmstad UniversityInnovative production education in co-operation, an instrument in Produktion2030 - 2017 [2017-03753_Vinnova]; Halmstad UniversityInternational Production and Japan, a state of the art study [2017-05230_Vinnova]; Halmstad UniversityP2030 Study visit to Japan [2018-01581_Vinnova]; Halmstad UniversityInnovative production education in co-operation, an instrument in Produktion2030 2018 [2018-04046_Vinnova]; Halmstad UniversityProduktion2030 Study Visit to North America´s west coast [2018-04814_Vinnova]; Halmstad UniversityMaster of Science in Engineering 4.0 PLUS [2018-04833_Vinnova]; Halmstad UniversityMETALsurf - objective classification of metal surfaces [2019-03568_Vinnova]; Halmstad UniversityInnovative production education in co-operation, an instrument in Produktion2030 - 2019 [2019-05251_Vinnova]; Halmstad UniversityMaster 4.0 -New education modules [2019-05583_Vinnova]; Halmstad UniversityEngineer 4.0 [2020-04828_Vinnova]; Halmstad UniversityIngenjör4.0 - scale-up of modularised upskilling for professionals [2021-03458_Vinnova]; Halmstad UniversityInnovative production education in co-operation, an instrument in Produktion2030 - 2022 [2022-02958_Vinnova]; Halmstad University
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8058-1252

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