OPTIMIZATION OF GRAPHENE-BASED NANOFILLER COMBINATIONS IN PMMA DENTAL COMPOSITES USING TAGUCHI APPROACH | ||||
Journal of the Egyptian Society of Tribology | ||||
Volume 22, Issue 3, July 2025, Page 80-97 PDF (739.8 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/jest.2025.398819.1125 | ||||
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Authors | ||||
M. I. Sinossi1; H. M. Abdu ![]() ![]() | ||||
1Mechanical Design and Production Department, Faculty of Engineering, Beni-Suef University. | ||||
2Production Engineering and Mechanical Design Department, Faculty of Engineering, Minia University, 61111 El-Minia. | ||||
3Production Engineering and Mechanical Design Department, Faculty of Engineering, Minia University, 61111 El-Minia | ||||
4Department of Mechanical Engineering, Higher Technological Institute, 10th of Ramadan City, EGYPT. | ||||
Abstract | ||||
This current work carries out an extensive analysis of the optimization of poly (methyl methacrylate) (PMMA) dental composites utilizing the Taguchi technique. The PMMA composites have been enriched using multiple graphene-based nanofillers. A mixed-level L16 orthogonal array was developed to examine the impact of three key parameters, kind of filler, loading level, and curing process, on tribological and mechanical attributes. The outcomes of the study responses comprised the coefficient of friction (COF), weight loss (WL), and hardness (H). It can indicate that the curing process exerted the biggest impact on hardness (33.75%), succeeded by filler type (22.09%) and loading level (10.25%). The outcomes indicate that the most suitable conditions for decreasing COF and WL and maximum hardness were identified as graphene filler, 0.5 N loading, and heat curing. The RSM models revealed a good prediction accuracy, with correlation values (R²) of 0.9468, 0.9725, and 0.9989 for COF, WL, and hardness, respectively. Multi-objective optimization applying desire function analysis proved these settings as the most successful. The merger of Taguchi and RSM techniques gives a solid approach for optimizing nanocomposite features in advanced dental applications. | ||||
Keywords | ||||
PMMA composites; graphene; friction and wear rate; optimization | ||||
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