Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/22324
Title: Optimization of Processing Parameters of Powder Metallurgy for Preparing AZ31/GNP Nanocomposites Using Taguchi Method
Authors: Sharma, Sachin kumar
Ivanović, Lozica
Gajević, Sandra
Sharma, Lokesh Kumar
Sharma, Yogesh
Miladinovic, Slavica
Stojanovic, Blaza
Journal: Applied Sciences
Issue Date: 2025
Abstract: The systematic optimization approach highlights the potential of powder metallurgy and GNP reinforcement to enhance the mechanical properties of AZ31 magnesium alloys, making them suitable for lightweight structural applications. The present study employs the Taguchi approach to optimize the processing parameters of powder metallurgy for the fabrication of AZ31/graphene nanoplatelet (1.75 wt.%GNP) composites. The process parameters are varied at three levels, i.e., compaction pressure (250 MPa, 300 MPa, and 350 MPa), sintering temperature (500 °C, 550 °C, and 600 °C), and sintering time (45 min, 60 min, and 75 min) using an L9 orthogonal array. The impact of these parameters on microhardness and compressive strength was analyzed using a signal-to-noise (SN) ratio and an analysis of variance (ANOVA) approach. The results indicate that compaction pressure significantly influences both microhardness (72.99%) and compressive strength (68.38%), followed by sintering temperature and sintering time. Optimal parameter combinations (350 MPa, 600 °C, and 60 min) yielded maximum microhardness (108.5 Hv) and compressive strength (452.2 MPa). Regression models demonstrated strong predictive capabilities with R² values exceeding 85%. This study underscores the importance of efficient parameter optimization to achieve enhanced material properties in a cost-effective manner.
URI: https://scidar.kg.ac.rs/handle/123456789/22324
Type: article
DOI: 10.3390/app15084181
ISSN: 2076-3417
SCOPUS: 2-s2.0-105003766896
Appears in Collections:Faculty of Engineering, Kragujevac

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