Abstract
The present paper describes a method for forecasting the economic number of times a sheet metal, integrated in a structure, and subjected to high corrosion, must be repainted before its thickness reaches a minimum limit, advising for its replacement. Within this approach, one is acknowledged of all the relevant costs originated, predictably, over the life cycle of the sheet metal, demonstrating the utility of combining descriptive functions (of the physical phenomena from the field of materials engineering) with financial analysis’ functions, thus completing what one can properly call—technical–economic analysis—whose opportunity is verified so many times in engineering economy and maintenance.
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Acknowledgements
The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowvska-Curie grant agreement 871284 project SSHARE.
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Assis, R., Carmona Marques, P. (2023). Forecasting the Economic Number of Times Sheet Metal Subject to Corrosion Should Be Painted Before Replacement. In: Huang, CY., Dekkers, R., Chiu, S.F., Popescu, D., Quezada, L. (eds) Intelligent and Transformative Production in Pandemic Times. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-18641-7_44
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DOI: https://doi.org/10.1007/978-3-031-18641-7_44
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