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Review of surface metrology artifacts for polymer-based additive manufacturing

Metrology & Hallmark

Authors Patryk Mietliński, Bartosz Gapiński, Michał Wieczorowski, Tomasz Bartkowiak (Poznan University of Technology), Jolanta Królczyk, Piotr Niesłony, Grzegorz Królczyk (Opole University of Technology), Anna Trych-Wildner, Natalia Wojciechowska (Central Office of Measures - GUM)

Abstract

Test artifacts, resembling real machine parts, allow quantitative evaluation of system performance and insight into individual errors, aiding in improvement and standardization in additive manufacturing. The article provides a comprehensive overview of existing test artifacts, categorized based on geometric features and material used. Various measurement techniques such as stylus profilometry and computed tomography are employed to assess these artifacts. Specific artifact categories include slits, angular or linear features, variable surfaces, and others, each accompanied by examples from research literature, highlighting diverse artifact designs and their intended applications. The paper underscores the importance of user-friendly and unambiguous artifacts for dimensional control, particularly in surface metrology. It anticipates the continued growth of metrological verification in future manufacturing environments, emphasizing the need for precise and reliable measurement results to support decision-making in production conditions.

Bibliography

[1] Q. Yan, H. Dong, J. Su, J. Han, B. Song, Q. Wei, Y. Shi, A Review of 3D Printing Technology for Medical Applications. Engineering 4 (2018) pp. 729–742 https://doi.org/10.1016/j. eng.2018.07.021.
[2] C. Groth, N.D. Kravitz, P. E. Jones, J. W. Graham, W. R. Redmond, Three-Dimensional Printing Technology. Journal of Clinical Orthodontics 8 (2014) pp. 475-485.
[3] J. Huang, J. Huang,J. Wang, A Review of Stereolithography: Processes and Systems. Processes 8 (2020) https://doi.org/10.3390/ pr8091138.
[4] D. T. Pham, S. Dimov, F. Lacan, Selective laser sin¬tering: Applications and technological capabilities. Journal of Engineering Manufacture 5 (1999) https://doi.org/10.1243/0954405991516912.
[5] F. Sillani, R. G. Kleijnen, M. Vetterli, M. Schmid, K.Wegener, Selective laser sintering and multi jet fusion: Process-induced modification of the raw materials and analyses of parts performance. Additive Manufacturing, 27 (2019) https://doi. org/10.1016/j.addma.2019.02.004.
[6] ASTM Standard F2792, 2012a, Standard Terminology for Additive Manufacturing Technologies. West Conshohocken, PA, ASTM International (2012). DOI: 10.1520/F2792-12.
[7] M. Faes, W. Abbeloos, F. Vogeler, H. Valkenaers, K. Coppens, T. Goedemé, E. Ferraris, Process Monitoring of Extrusion Based 3D Printing via Laser Scanning. Conference Proceedings PMI 6 (2014) pp. 363-367 https://doi.org/10.48550/ arXiv.1612.02219.
[8] T. Li, J. Li, X. Ding, X. Sun, T. Wu, An error identifi¬cation and compensation method for Cartesian 3D printer based on specially designed test artifact. The International Journal of Advanced Manufacturing Technology 125 (2023) pp. 4185–4199.
[9] E. George, P. Liacouras, F. J. Rybicki, D. Mitsouras, Measuring and Establishing the Accuracy and Reproducibility of 3D Printed Medical Models. RadioGrafika (2017) https://doi.org/10.1148/ rg.2017160165.
[10] J. Kwon, N. Kim, J.Ma, Environmental sustainability evaluation of additive manufacturing using the NIST test artifact, ournal of Mechanical Science and Technology 34 (2020) pp. 1265–1274.
[11] S. Moylan, J. Slotwinski, A. Cooke, K. Jurrens, M. A. Donmez, Proposal for a standardized test artifact for additive Manufacturing machines and processes. National Institute of Standards and Technology (2012), pp. 902 – 920.
[12] M. B. Bauza, S. P. Moylan , R. M. Panas, S. C. Burke, H. E. Martz, J.S. Taylor, J.D. Smokovitz, Study of accuracy of parts produced using additive manu¬facturing. ASPE Spring Topical (2014) 86–91.
[13] A. Thompson, I. Maskery, R. K. Leach, X-ray com¬puted tomography for additive manufacturing: a review. Meas. Sci. Technol. 27 (2016), http://dx. doi.org/10.1088/0957-0233/27/7/072001.
[14] L. Rebaioli, I. Fassi, A review on benchmark artifacts for evaluating the geometrical performance of ad¬ditive manufacturing processes. Int J Adv Manuf Technol. (2017) doi 10.1007/s00170-017-0570-0.10.
[15] P. Shah, R. Racasan, P. Bills, Comparison of different additive manufacturing methods using computed tomography. Case Studies in Nondestructive Testing and Evaluation 6 (2016) pp. 69–78, http:// dx.doi.org/10.1016/j.csndt.2016.05.008.
[16] T. Toguem, B. S. Rupal, C. Mehdi-Souzani, A. J. Qureshi, N. Anwer, A review of am artifact design methods. Conference: euspen ASPE Summer Tropical Meeting on Advancing Precision in Additive Manufacturing (2018).
[17] A. Townsend, R. Racasan, L. Blunt, Surface-specific additive manufacturing test artefacts. Surf. Topogr.: Metrol. Prop. 6 (2018) https://doi.org/10.1088/2051¬672X/aabcaf.
[18] B. Singh Rupal, R. Ahmad, A. J. Qureshi, Feature- Based Methodology for Design of Geometric Benchmark Test Artifacts for Additive Manufacturing Processes. 28th CIRP Design Conference (2018) pp. 84–89 10.1016/j.procir.2018.02.012.
[19] M. de Pastre, S. Tagne, N. Anwer, Test artefacts for additive manufacturing: A design methodology re¬view. CIRP Journal of Manufacturing Science and Technology 31 (2020) pp. 14–24 https://doi.org/10.1016/j.cirpj.2020.09.008.
[20] P. Minetola, F. Calignano, M. Galati, Comparing ge¬ometric tolerance capabilities of additive manufac¬turing systems for polymers. Additive Manufacturing 32 (2020) https://doi.org /10.1016/j.addma.2020.101103.
[21] L. Gallant, A. Hsiao, G. McSorley, Design of a bench¬mark test artifact to investigate 316L stainless steel print quality and properties. Proceedings of the Canadian Society for Mechanical Engineering International Congress 2020 (2020).
[22] V. Santos, A. Thompson, D. S. Waterhouse, I. Maskery, P. Woolliams,R. Leach, Design and char¬acterisation of an additive manufacturing bench¬marking artefact following a design-for-metrology approach. Additive Manufacturing 32 (2020) https://doi.org/10.1016/j.addma.2019.100964.
[23] N. Vorkapic, M. Pjevic, M. Popovic, N. Slavkovic, S. Zivanovic, An additive manufacturing benchmark artifact and deviation measurement method, Journal of Mechanical Science and Technology 34 (2020) 10.1007/s12206-020-0633-2.
[24] G. Budzik, J. Woźniak, A. Paszkiewicz, Ł. Przeszłowski, T. Dziubek, M. Dębski, Methodology for the Quality Control Process of Additive Manufacturing Products Made of Polymer Materials, Materials 14 (2021) https://doi.org/10.3390/ ma14092202.
[25] L. Spitaels, E. Rivière-Lorphèvre, A. Demarbaix, F. Ducobu, Development of a novel benchmark ar¬tifact for Additive Manufacturing processes. Euspen’s 21st International Conference & Exhibition (2021).
[26] R. Kawalkar, H. K. Dubey, S. P. Lokhande, A review for advancements in standardization for additive manufacturing. Materials Today: Proceedings 50 (2022) pp. 1983–1990 https://doi.org/10.1016/j.matpr.2021.09.333.
[27] J. Richter, P. Jacobs (1992) Accuracy. in Jacobs P, (Ed.) Rapid Prototyping & Manufacturing, Society of Manufacturing Engineers, pp. 287–315.
[28] B. Hao, E. Korkmaz, B. Bediz, O.B. Ozdoganlar, A Novel Test Artifact for Performance valuation of Additive Manufacturing Processes. Using Additive Manufacturing, ASPE Spring Topical (2014), Berkeley, USA.
[29] J.P. Kruth, M. Leu, T. Nakagawa, Progress in Additive Manufacturing and Rapid Prototyping. CIRP Annals 47 (1998) 525–540.
[30] D. Scaravetti, P. Dubois, R. Duchamp, Qualification of Rapid Prototyping Tools: Proposition of a Procedure and a Test Part. The International Journal of Advanced Manufacturing Technology 38 (2008) 683–690.
[31] S. Moylan, J. Slotwinski, A. Cooke, K. Jurrens, M.A. Donmez, An Additive Manufacturing Test Artifact, Journal of Research of the National Institute of Standards and Technology. 119 (2014) 429. https://doi.org/10.6028/jres.119.017.
[32] M. Fahad, N. Hopkinson, A new benchmarking part for evaluating the accuracy and repeatability of Additive Manufacturing ( AM ) processes, 2nd International Conference on Mechanical, Production and Automobile Engineering. (2012).
[33] J.P. Kruth, Material Incress Manufacturing by Rapid Prototyping Techniques, CIRP Annals. 40 (1991) 6 0 3 – 614, https://doi.org/10.1016/s0007-8506(07)61136-6.
[34] R. Ippolito, L. Iuliano, A. Gatto, Benchmarking of Rapid Prototyping Techniques in Terms of Dimensional Accuracy and Surface Finish, CIRP Annals. 44 (1995) 157–160. https://doi.org/10.1016/ s0007-8506(07)62296-3.
[35] M. Mahesh, Y.S. Wong, J.Y.H. Fuh, H.T. Loh, Benchmarking for comparative evaluation of RP systems and processes, Rapid Prototyping Journal. 10 (20 0 4) 123–135. https://doi. org/10.1108/13552540410526999.
[36] G.D. Kim, Y.T. Oh, A benchmark study on rapid pro¬totyping processes and machines: Quantitative comparisons of mechanical properties, accuracy, roughness, speed, and material cost, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 222 (2008) 201–215 https://doi.org/10.1243/09544054 jem724.
[37] S. Moylan, Progress toward standardized additive manufacturing test artifacts. Proceedings - ASPE 2015 Spring Topical Meeting: Achieving Precision Tolerances in Additive Manufacturing. (2015)100-105.
[38] T. Grimm, G. Wiora, G. Witt, Characterization of typical surface effects in additive manufacturing with confocal microscopy, Surface Topography: Metrology and Properties. 3 (2015) 014001. https:// doi.org/10.1088/2051-672x/3/1/014001.
[39] A. Jansson, L. Pejryd, Characterisation of carbon fibre-reinforced polyamide manufactured by selec¬tive laser sintering, Additive Manufacturing. 9 (2016) 7–13. https://doi.org/10.1016/j. addma.2015.12.003.
[40] J.P. Kruth, B. Vandenbroucke, J. Van Vaerenbergh, P. Mercelis, Benchmarking of different SLS/SLM processes as rapid manufacturing techniques, Int. Conf. Polymers & Moulds Innovations (PMI). (2005).

3D printing, additive manufacturing, surface metrology, test artifacts

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