Coating sprays play a crucial role in extending the capabilities of optical measuring systems, especially when dealing with reflective surfaces, where excessive reflections, caused by incident light hitting the object surface, lead to increased noise and missing data points in the measurement results. This work focuses on metal additively manufactured parts, and explores how the application of a sublimating matting spray on the measured surfaces can improve measurement performance. The use of sublimating matting sprays is a recent development for achieving temporary coatings that are useful for measurement, but then disappear in the final product. A series of experiments was performed involving measurement by fringe projection on a selected test part pre- and post-application of a sublimating coating layer. A comparison of measurement performance across the experiments was run by computing a selected set of custom-developed point cloud quality indicators: rate of surface coverage, level of sampling density, local point dispersion, variation of selected linear dimensions computed from the point clouds. In addition, measurements were performed using an optical profilometer on the coated and uncoated surfaces to determine both thickness of the coating layer and changes of surface texture (matte effect) due to the presence of the coating layer.

Department of Engineering University of Perugia Perugia Italy

Department of Industrial Engineering University of Padua Padua Italy

Institute of Machine and Industrial Design Faculty of Mechanical Engineering Brno University of Technology Brno Czech Republic

Manufacturing Metrology Team Faculty of Engineering University of Nottingham Nottingham UK

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Leach RK, Bourell D, Carmignato S, Donmez A, Senin N, Dewulf W (2019) Geometrical metrology for metal additive manufacturing. CIRP Ann 68:677–700. 10.1016/j.cirp.2019.05.004 DOI

Vora HD, Sanyal S (2020) A comprehensive review: metrology in additive manufacturing and 3D printing technology. Prog Addit Manuf 5:319–353. 10.1007/s40964-020-00142-6 DOI

Lee JY, Nagalingam AP, Yeo SH (2021) A review on the state-of-the-art of surface finishing processes and related ISO/ASTM standards for metal additive manufactured components. Virtual Phys Prototyp 16:68–96. 10.1080/17452759.2020.1830346 DOI

Sun J, Zhang Q (2022) A 3D shape measurement method for high-reflective surface based on accurate adaptive fringe projection. Opt Lasers Eng 153:106994. 10.1016/j.optlaseng.2022.106994 DOI

Zhang S, Yau S-T (2009) High dynamic range scanning technique. Opt Eng 48:033604. 10.1117/1.3099720 DOI

Jiang H, Zhao H, Li X (2012) High dynamic range fringe acquisition: a novel 3-D scanning technique for high-reflective surfaces. Opt Lasers Eng 50:1484–1493. 10.1016/j.optlaseng.2011.11.021 DOI

Zhao H, Liang X, Diao X, Jiang H (2014) Rapid in-situ 3d measurement of shiny object based on fast and high dynamic range digital fringe projector. Opt Lasers Eng 54:170–174. 10.1016/j.optlaseng.2013.08.002 DOI

Liu CS, Lin JJ, Chen BR (2023) A novel 3D scanning technique for reflective metal surface based on HDR-like image from pseudo exposure image fusion method. Opt Lasers Eng 168:107688. 10.1016/j.optlaseng.2023.107688 DOI

Feng Y, Wu R, Li P, Wu W, Lin J, Liu X, Chen L (2024) Multi-view high-dynamic-range 3D reconstruction and point cloud quality evaluation based on dual-frame difference images. Appl Opt 63:7865–7874. 10.1364/AO.533718 DOI

Gupta M, Agrawal A, Veeraraghavan A, Narasimhan SG (2013) A practical approach to 3D scanning in the presence of interreflections, subsurface scattering and defocus. Int J Comput Vis 102:33–55. 10.1007/s11263-012-0554-3 DOI

González M, Rodríguez A, López-Saratxaga U, Pereira O, López de Lacalle LN (2024) Adaptive edge finishing process on distorted features through robot-assisted computer vision. J Manuf Syst 74:41–54. 10.1016/j.jmsy.2024.02.014 DOI

Perez J, Gonzalez M, Rodriguez A, Pereira O, Artabe A, López de Lacalle LN (2025) Optimizing surface quality of additively manufactured Inconel 718 with cryogenic polishing. Int J Adv Manuf Technol. 10.1007/s00170-025-15352-x DOI

Semmes I, Lorio GK, Kewir FV, Belgodere JA, Monroe WT (2025) Evaluation of titanium dioxide nanoparticle suspensions as a low-cost surface coating to improve optical profilometry of transparent 3D-printed microdevices. ACS Appl Opt Mater 3:871–880. 10.1021/acsaom.5c00010 PubMed DOI PMC

Owczarek D, Ostrowska K, Jedynak M, Krawczyk M, Gąska A (2025) Evaluation of the influence of the surface dulling process on the result of optical coordinate measurement. Meas Sensors 38:101778. 10.1016/j.measen.2024.101778 DOI

Palousek D, Omasta M, Koutny D, Bednar J, Koutecky T, Dokoupil F (2015) Effect of matte coating on 3D optical measurement accuracy. Opt Mater 40:1–9. 10.1016/j.optmat.2014.11.020 DOI

Koutecký T, Zeman J, Koutný D, Palou ek D (2016) Effect of titanium dioxide mixture concentration on matte coating and 3D scanning accuracy. Proc. 31

Hruboš D, Koutecký T, Paloušek D (2019) An experimental study for determination of an application method and TiO2 powder to ensure the thinnest matte coating layer for 3D optical scanning. Meas J Int Meas Confed 136:42–49. 10.1016/j.measurement.2018.12.058 DOI

Franke J, Koutecký T, Malý M, Kalina M, Koutný D (2022) Study of process parameters of the atomizer-based spray gun for the application of a temporary matte coating for 3D scanning purposes. Mater Chem Phys 282:125950. 10.1016/j.matchemphys.2022.125950 DOI

Rukosuyev MV, Barannyk O, Oshkai P, Jun MBG (2016) Design and application of nanoparticle coating system with decoupled spray generation and deposition control. J Coat Technol Res 13:769–779. 10.1007/s11998-016-9788-2 DOI

Mendřický R (2018) Impact of applied anti-reflective material on accuracy of optical 3D digitisation. Mater Sci Forum 919:335–344. 10.4028/www.scientific.net/MSF.919.335 DOI

Sha B, Gao W, Cui X, Wang L, Xu F (2015) The potential health challenges of TiO PubMed DOI

Shen JJ, Robert Patterson M, Marshall E, Dvorak J, Romberg S, Schmitz T (2022) Effects of surface treatments on ABS mechanical properties from fused filament fabrication. Manuf Lett 33:719–731. 10.1016/j.mfglet.2022.07.091 DOI

Díaz-Marín C, Aura-Castro E, Sánchez-Belenguer C, Vendrell-Vidal E (2016) Cyclododecane as opacifier for digitalization of archaeological glass. J Cult Herit 17:131–140. 10.1016/j.culher.2015.06.003 DOI

Franke J, Koutecký T, Koutný D (2022) Comparison of various sublimation matte coating sprays for the optical 3D scanning with a focus on the quality of 3D scans. Proc. 5

Franke J, Koutecký T, Koutný D (2023) Comparison of sublimation 3D scanning sprays in terms of their effect on the resulting 3d scan, thickness, and sublimation time. Materials 16:6165. 10.3390/ma16186165 PubMed DOI PMC

Catalucci S, Senin N, Sims-Waterhouse D, Ziegelmeier S, Piano S, Leach R (2020) Measurement of complex freeform additively manufactured parts by structured light and photogrammetry. Meas J Int Meas Confed 164:108081. 10.1016/j.measurement.2020.108081 DOI

Senin N, Catalucci S, Moretti M, Leach RK (2021) Statistical point cloud model to investigate measurement uncertainty in coordinate metrology. Precis Eng 70:44–62. 10.1016/j.precisioneng.2021.01.008 DOI

Wang Y, Catalucci S, Senin N, Piano S (2024) Assessing the spatial distribution of positional error associated to dense point cloud measurements using regional Gaussian random fields. Meas J Int Meas Confed 227:114194. 10.1016/j.measurement.2024.114194 DOI

Lartigue C, Contri A, Bourdet P (2002) Digitised point quality in relation with point exploitation. Meas J Int Meas Confed 32:193–203. 10.1016/S0263-2241(02)00008-8 DOI

Contri A, Bourdet P, Lartigue C (2002) Quality of 3D digitised points obtained with non-contact optical sensor. Ann CIRP 51:443–446. 10.1016/S0007-8506(07)61556-X DOI

Mehdi-Souzani C, Thiébaut F, Lartigue C (2006) Scan planning strategy for a general digitized surface. J Comput Inf Sci Eng 6:331–339. 10.1115/1.2353853 DOI

Sadaoui SE, Mehdi-Souzani C, Lartigue C (2019) Computer-aided inspection planning: a multisensor high-level inspection planning strategy. J Comput Inf Sci Eng 19:021005. 10.1115/1.4041970 DOI

Catalucci S, Thompson A, Eastwood J, Zhang ZM, Branson DT III, Leach R, Piano S (2023) Smart optical coordinate and surface metrology. Meas Sci Technol 34:012001. 10.1088/1361-6501/ac9544 DOI

Pauly M, Gross M, Kobbelt L P (2002) Efficient simplification of point-sampled surfaces. Proc. - IEEE Visualization 163–170. 10.1109/VISUAL.2002.1183771

Rusu R B, Blodow N, Beetz M (2009) Fast point feature histograms for 3d registration Proc. - IEEE Int. Conf. Robot. Autom. 12–17. 10.1109/ROBOT.2009.5152473

Besl P, McKay N (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14:239–256. 10.1109/34.121791 DOI

Schnabel R, Wahl R, Klein R (2007) Efficient RANSAC for point-cloud shape detection. Comput Graph Forum 26:214–226. 10.1111/j.1467-8659.2007.01016.x DOI

Flack D (2013) Co-ordinate measuring machine task-specific measurement uncertainties. Measurement Good Practice Guide No. 130 (National Physical Laboratory)

ISO 25178 part 2 2012 Geometrical product specifications (GPS) - Surface texture: Areal - Part 2: Terms, definitions and surface texture parameters (International Organization for Standardization: Geneva)