Determination of Optimum Alloy Sample Size for Ball Mill Abrasion Test Through Automated t-Student Distribution Analysis
Carlos Daniel Garcia Mendoza1, Lelly María Useche Castro1, Miguel Ángel Lapo Palacios1, Óscar Vargas Ortiz2 & Ronny Javier Maldonado Macías3 Show affiliations
- Department of Mathematics and Statistic, Institute of Basic Sciences, Technical University of Manabi, Ecuador
- Faculty of Postgraduate, Technological Business University of Guayaquil, Ecuador
- Faculty of Earth Sciences, Amazon State University, Ecuador
Journal of Computer Science, Volume 18, Issue 9, pp. 841–851 · doi.org/10.3844/jcssp.2022.841.851
Abstract
Inmaterial wear experiments, such as the Ball Mill Abrasion Test (BMAT), it iscrucial to know the number of specimens to be used in each experiment toproduce accurate and reliable results. In BMAT, however, a structured way ofdetermining the necessary number of balls per type of material to be includedin the experiments has not been considered to date. This article shows, usingstatistical tools and adhering to the standards that govern these experiments,that the optimal number of balls per type of material to be included in eachexperiment is 6. In addition, it is shown that if the initial differences betweenthe balls are reduced, it is possible to obtain more accurate and reliableresults.
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Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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Mendoza, C. D. G., Castro, L. M. U., Palacios, M. Á. L., Ortiz, Ó. V. & Macías, R. J. M. (2022). Determination of Optimum Alloy Sample Size for Ball Mill Abrasion Test Through Automated t-Student Distribution Analysis. Journal of Computer Science, 18(9), 841–851. https://doi.org/10.3844/jcssp.2022.841.851
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