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Mechanical Engineering

Optimization of wire-cut electric discharge machining process parameters for hybrid MMC(AA7475/ZrO2/gr) using Taguchi method: an experimental study

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Article: 2328822 | Received 09 Feb 2024, Accepted 05 Mar 2024, Published online: 15 Mar 2024
 

Abstract

Metal-matrix composites (MMCs) and hybrid metal-matrix composites (HMMCs) are novel materials that possess distinctive mechanical characteristics, making them well-suited for industrial applications. This research implements an experimental study of the mechanical properties of HMMCs, where weight percentages (2, 3, and 4 wt. %) of zirconium dioxide (ZrO2) and graphite powder (Gr) are used as reinforcements and the aluminum alloy 7475 (AA7475) is used as a matrix. In this investigation, the stir casting method was used to prepare the composite by using AA7475 alloy with pre-heated reinforced particles of ZrO2 and graphite with various reinforcement weight percentages. Among these combinations, AA with 4 wt. % ZrO2 and 2 wt.% Gr showed enhanced mechanical properties. The mechanical properties of the ultimate tensile strength, yield strength, and hardness were evaluated. A Scanning Electron Microscope analysis was conducted to study the reinforcement distribution in the matrix. The input parameters for wire-cut electrical discharge machining (WCEDM) are pulse-on time (TON), pulse peak current (IP), and flushing pressure (PF). The material removal rate and surface roughness are the output responses. Determining the ideal set of process parameters in WCEDM for HMMC also involved the use of the Taguchi design technique known as the L9 orthogonal array. The peak current for the MRR and flushing pressure for the SR are the most prominent parameters.

Author contributions

SM: conception of the work, data collection, data analysis and interpretation, drafting of the article, and final approval of the version to be published. VVSKR: conception of the work, Critical revision of the article. RBRC and TB: conception of the work, critical revision of the article, analysis, and interpretation of the data. DVN and RDN: critical revision of the article and final approval of the version to be published.

Disclosure statement

No potential conflict of interest was reported by the author.

Data availability statement

The data that support the findings of this study are available from the corresponding author, (Singuru Madhavarao) upon reasonable request.