Research Article Open Access

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 and Ronny Javier Maldonado Macías3
  • 1 Department of Mathematics and Statistic, Institute of Basic Sciences, Technical University of Manabi, Ecuador
  • 2 Faculty of Postgraduate, Technological Business University of Guayaquil, Ecuador
  • 3 Faculty of Earth Sciences, Amazon State University, Ecuador

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.

Journal of Computer Science
Volume 18 No. 9, 2022, 841-851

DOI: https://doi.org/10.3844/jcssp.2022.841.851

Submitted On: 1 April 2022 Published On: 14 September 2022

How to Cite: Mendoza, C. D. G., Castro, L. M. U., Palacios, M. �. L., Ortiz, �. 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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Keywords

  • Ball Mill Abrasion Test
  • t-Student Distribution
  • Sample Size Optimization