Intelligent design of Ni-Cu alloys: friction-based processing enhanced by fuzzy logic and microstructural insights

• Fuzzy logic-assisted COPRAS approach optimized FSP parameters for Monel 400. • Optimal FSP conditions (50 rpm, 1200 mm/min, 2 kN) promoted DRX and fine-grained microstructures. • Controlled heat input produced equiaxed fine grains, high dislocation density, and increased HAGB fraction. • Strong correlation established between grain size, dislocation density, HAGB fraction and mechanical properties. • Fuzzy logic model exhibited high predictive accuracy, enhancing process reliability and optimization. This study investigates the friction stir processing (FSP) of Monel 400 alloy, a corrosion-resistant nickel-copper alloy used in chemical applications. Fusion-based processing of Monel 400 can result in defects due to its high thermal conductivity, making FSP a promising alternative. A fuzzy logic-based modeling approach combined with the Complex Proportional Assessment (COPRAS) method was employed to optimize FSP parameters and enhance mechanical properties. Experiments were designed using a central composite matrix, considering tool rotational speed, traverse speed, and axial force as control factors. Microstructure and mechanical properties were evaluated using Electron Backscatter Diffraction (EBSD) and Transmission Electron Microscopy (TEM). Optimal parameters (1200 rpm, 50 mm/min, and 2 kN) produced refined grains with a high fraction of high-angle grain boundaries (HAGBs), leading to enhanced properties: microhardness of 191 HV, nanohardness of 2.44 GPa, and yield strength of 252 MPa. In contrast, higher heat input led to grain coarsening and reduced dislocation density. The fuzzy logic model accurately predicted output responses with minimal deviation from experimental results. COPRAS was applied to rank the parameter sets based on utility degree, enabling multi-criteria decision-making. This integrated framework effectively improves parameter selection and mechanical performance through controlled heat input during the FSP of Monel 400.

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Publication Details

Journal
Materials & Design
Published
2025-08-08
DOI
https://doi.org/10.1016/j.matdes.2025.114548
Citations
2
Primary Topic
Advanced Welding Techniques Analysis
Type
article
Field-Weighted Citation Impact
1.43
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article

Intelligent design of Ni-Cu alloys: friction-based processing enhanced by fuzzy logic and microstructural insights

Mazyar Ghadiri Nejad, Mostafa Aghazadeh Ghomi, Reza Vatankhah Barenji, Md Firoz Khan et al.
2 citations
Materials & Design
Advanced Welding Techniques Analysis
1.43
article

Intelligent design of Ni-Cu alloys: friction-based processing enhanced by fuzzy logic and microstructural insights

Mazyar Ghadiri Nejad, Mostafa Aghazadeh Ghomi, Reza Vatankhah Barenji, Md Firoz Khan, Abdel‐Hamid I. Mourad, Akbar Heidarzadeh, V. Kavimani
article en
2 citations

Abstract

• Fuzzy logic-assisted COPRAS approach optimized FSP parameters for Monel 400. • Optimal FSP conditions (50 rpm, 1200 mm/min, 2 kN) promoted DRX and fine-grained microstructures. • Controlled heat input produced equiaxed fine grains, high dislocation density, and increased HAGB fraction. • Strong correlation established between grain size, dislocation density, HAGB fraction and mechanical properties. • Fuzzy logic model exhibited high predictive accuracy, enhancing process reliability and optimization. This study investigates the friction stir processing (FSP) of Monel 400 alloy, a corrosion-resistant nickel-copper alloy used in chemical applications. Fusion-based processing of Monel 400 can result in defects due to its high thermal conductivity, making FSP a promising alternative. A fuzzy logic-based modeling approach combined with the Complex Proportional Assessment (COPRAS) method was employed to optimize FSP parameters and enhance mechanical properties. Experiments were designed using a central composite matrix, considering tool rotational speed, traverse speed, and axial force as control factors. Microstructure and mechanical properties were evaluated using Electron Backscatter Diffraction (EBSD) and Transmission Electron Microscopy (TEM). Optimal parameters (1200 rpm, 50 mm/min, and 2 kN) produced refined grains with a high fraction of high-angle grain boundaries (HAGBs), leading to enhanced properties: microhardness of 191 HV, nanohardness of 2.44 GPa, and yield strength of 252 MPa. In contrast, higher heat input led to grain coarsening and reduced dislocation density. The fuzzy logic model accurately predicted output responses with minimal deviation from experimental results. COPRAS was applied to rank the parameter sets based on utility degree, enabling multi-criteria decision-making. This integrated framework effectively improves parameter selection and mechanical performance through controlled heat input during the FSP of Monel 400.

Materials & DesignVol. 257
Cyprus International University (CY), United Arab Emirates University (AE), King Faisal University (SA), Azarbaijan Shahid Madani University (IR), Nottingham Trent University (GB), Karpagam Academy of Higher Education (IN)
Openalex Percentile: Top 18%
Advanced Welding Techniques Analysis
1.43
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