Abstract
The optimization of a galvanic process is a crucial task for many manufacturers in the field of electro-deposition industry. This is true for companies operating in the high fashion field, in which expensive materials are used and reducing material waste is crucial. In this paper, the estimation of the wet surface of small metal parts is treated. In fact, considering a single piece, the amount of material required to guarantee a desired plate thickness is directly proportional to its outer surface. Starting with a rapid overview on other methods to come up with this task, the attention in principally oriented to surface estimation by means of optical scanning. A preliminary test session has been carried out and two main issues arose. The first one is related to resolution and accuracy: due to pieces small dimensions and details, high performances are required to achieve valid results. The second and principal issue is related to the high reflectivity of pieces, even before electroplating. With the aim of avoiding the use of matting paint (which is difficult to remove), the attention has been focused on commercial solution dedicated to jewellery and dentistry fields. Three devices (based on white and blue LED structured light) have been tested on high reflective and specular pieces. From the analyses, only the one based on blue LED technology was able to retrieve high reflective surfaces without matting. Minor issues arose in case of specular surface. The device has been considered suitable for the task.
Keywords
- Reverse engineering
- 3D reconstruction
- Galvanic
- Blue LED structured light
- 3D optical scanners
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Barker, D., Walsh, F.C.: Applications of Faraday’s laws of electrolysis in metal finishing. Trans. IMF. 69, 158–162 (1991). https://doi.org/10.1080/00202967.1991.11870915
Furferi, R., Governi, L., Puggelli, L., Servi, M., Volpe, Y.: Machine vision system for counting small metal parts in electro-deposition industry. Appl. Sci. 9(12), 2418 (2019). https://doi.org/10.3390/app9122418
Puippe, J.-C.: Process for the precise determination of the surface area of an electrically conducting shaped body (1989)
Costa, M.F.M.: Surface inspection by an optical triangulation method. Opt. Eng. 35, 2743 (1996). https://doi.org/10.1117/1.600840
Palousek, D., Omasta, M., Koutny, D., Bednar, J., Koutecky, T., Dokoupil, F.: Effect of matte coating on 3D optical measurement accuracy. Opt. Mater. (Amst) 40, 1–9 (2015). https://doi.org/10.1016/j.optmat.2014.11.020
Mendricky, R., Langer, O.: Influence of the material on the accuracy of optical 3D digitalisation. MM Sci. J. 2019(01), 2783–2789 (2019). https://doi.org/10.17973/MMSJ.2019_03_2018121
Puggelli, L., Furferi, R., Governi, L.: Low cost device to perform 3D acquisitions based on ChAruCo markers. In: Rizzi, C., Andrisano, A.O., Leali, F., Gherardini, F., Pini, F., Vergnano, A. (eds.) ADM 2019. LNME, pp. 189–200. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-31154-4_17
Buonamici, F., Carfagni, M., Puggelli, L., Servi, M., Volpe, Y.: A fast and reliable optical 3D scanning system for human arm. In: Roucoules, L., Paredes, M., Eynard, B., Morer Camo, P., Rizzi, C. (eds.) JCM 2020. LNME, pp. 268–273. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-70566-4_43
Servi, M., et al.: Handheld optical system for pectus excavatum assessment. Appl. Sci. 11, 1–13 (2021). https://doi.org/10.3390/app11041726
Bernal, C., De Agustina, B., Marín, M.M., Camacho, A.M.: Performance evaluation of optical scanner based on blue LED structured light. Procedia Eng. 63, 591–598 (2013). https://doi.org/10.1016/j.proeng.2013.08.261
Barbero, B.R., Ureta, E.S.: Comparative study of different digitization techniques and their accuracy. CAD Comput. Aided Des. 43, 188–206 (2011). https://doi.org/10.1016/j.cad.2010.11.005
Solutionix website: https://www.solutionix.com/
Open Technologies website: https://www.opentech3d.it/it-IT/homepage
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Puggelli, L., Carfagni, M., Furferi, R., Governi, L. (2023). Optimizing Galvanic Process: Wet Surface Estimation for Small Metal Parts to Avoid Material Waste. In: Gerbino, S., Lanzotti, A., Martorelli, M., Mirálbes Buil, R., Rizzi, C., Roucoules, L. (eds) Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-15928-2_65
Download citation
DOI: https://doi.org/10.1007/978-3-031-15928-2_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-15927-5
Online ISBN: 978-3-031-15928-2
eBook Packages: EngineeringEngineering (R0)