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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Parameter optimization of high energy ball milling process for TiO2 powder using the Taguchi method

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  • Parameter optimization of high energy ball milling process for TiO2 powder using the Taguchi method

Maya Radune 1, *, Svetlana Lugovskoy 2, Yaniv Knop 1 and Barbara Kazanski 3

1 Department of Civil Engineering, Ariel University, Ariel, Kiryat Hamada, 40700, Israel.
2 Department of Chemical Engineering, Ariel University, Ariel, Kiryat Hamada, 40700, Israel.
3 Department of Materials Engineering, Azrieli College of Engineering, Jerusalem, 91035000, Israel.

Research Article
 
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 390–403.
Article DOI: 10.30574/wjaets.2024.12.1.0218
DOI url: https://doi.org/10.30574/wjaets.2024.12.1.0218

Received on 13 April 2024; revised on 05 June 2024; accepted on 08 June 2024

The Taguchi method's robust design was applied to investigate the effect of main high-energy ball milling (HEBM) parameters – milling time (MT), ball-to-powder weight ratio (BPWR), and milling speed (MS) - on the TiO2 crystallite size (CS). The experiment used the L16(43) orthogonal array (OA). The as-received and milled powders were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). The CS of TiO2 varied between 3.48 and 73.70 nm depending on the HEBM conditions. The optimum milling parameter combination was determined by using the analysis of signal-to-noise (S/N) ratios. Based on the S/N ratio ana-lysis, optimal HEBM conditions were found to be MT 100h, MS 400rpm, BPWR 50:1. The analysis of variance (ANOVA) was used for indicating the significance of each milling parameter and their effect on CS. Statistical analysis by S/N and ANOVA established that the MT is the most influential parameter, followed by MS and BPWR. The results of the parameter optimization experiment were validated by a confirmation test at a 90% confidence level. The confirmation test showed that there is a good agreement between the experimental and statistical data.

High-energy ball milling; Titanium Dioxide powder; Taguchi technique; Orthogonal array; Signal-to-noise ratio ANOVA; Confidence interval; Nanoparticle

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2024-0218.pdf

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Maya Radune, Svetlana Lugovskoy, Yaniv Knop and Barbara Kazanski. Parameter optimization of high energy ball milling process for TiO2 powder using the Taguchi method. World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 390–403. Article DOI: https://doi.org/10.30574/wjaets.2024.12.1.0218

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