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Research Article · Open access · Published 14 September 2022

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

Journal of Computer Science, Volume 18, Issue 9, pp. 841–851 · doi.org/10.3844/jcssp.2022.841.851

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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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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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Determination of Optimum Alloy Sample Size for Ball Mill Abrasion Test Through Automated t-Student Distribution AnalysisJournal of Computer Science · Volume 18, Issue 9 · pp. 841–851 · CC BY 4.0Download