Recieved:

14/06/2023

Accepted:

04/09/2023

Page: 

1347

1359

doi:

http://dx.doi.org/10.17515/resm2023.800me0614

Views:

952

Parametric optimization of ball milling process parameters for uniform distribution of particles

Rashmi Arya1, Hari Singh1

1Department of Mechanical Engineering, National Institute of Technology, Kurukshetra

Abstract

This paper represents the uniform distribution of particles in a mixture of Silicon Nitride and Hexagonal Boron Nitride using Ball milling process. Here, a novel attempt is made to quantify the uniform distribution of particles in terms of the Experimental Fraction of Observations. The effects of process parameters on Average Particle Size and Experimental Fraction of Observations were studied. Taguchi Methodology was used for Design of Experiments in this study. Optimal factor level settings corresponding to the individual responses were found. Analysis of Variance was conducted as well for both the responses. The mean predicted values of responses and the 95% confidence intervals for the same were also calculated. The confirmation test results are found to lie between the predicted confidence Intervals for both the confirmation experiments and population.

Keywords

Uniform Distribution; Taguchi Approach; Optimization; APS; EFO; Ball Mill

Cite this article as: 

Arya R, Singh H. Parametric optimization of ball milling process parameters for uniform distribution of particles. Res. Eng. Struct. Mater., 2023; 9(4): 1347-1359.
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