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GAMLSS models as an alternative to improve the coating process of surgical instruments with hard chromium
Modelos GAMLSS como una alternativa para mejorar el proceso de recubrimiento de instrumentos quirúrgicos con cromoduro GAMLSS models to study coating process
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GAMLSS models as an alternative to improve the coating process of surgical instruments with hard chromium: GAMLSS models to study coating process. (2022). Revista EIA, 19(38), 3818 pp. 1-14. https://doi.org/10.24050/reia.v19i38.1536
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Surgical instruments are used in surgical interventions and must be resistant to corrosion and wear to avoid contamination. To improve the mechanical properties of surgical instruments, a surface modification can be made by coating the instruments with some material. Several factors intervene in the coating process that affects interest characteristics, and the classical linear regression model has traditionally been used to explore these relationships. The variables of interest are random variables and do not always follow the normal distribution, which is the statistical distribution assumed in the classical linear regression model. Using an appropriate regression model to study surgical instrument coating processes is essential. This article uses experimental data obtained from coating stainless steel surgical needle holders with hard chromium. The experimental data were analyzed using linear models to study the effect of exposure time, current density, and temperature on the average thickness of the coating of the needle holders. The final model had a gamma response, and the significant variables were time and density. Using this model, we obtained mathematical expressions to estimate the mean and variance of the average thickness.
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