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| Abstract: |
| The main aim of this study is to apply the integrated Multi-Criteria Decision-Making (MCDM) approach of the Best-Worst Method (BWM) and TOmada de Decisao Interativa Multicriterio (TODIM) for multi-criteria optimization of parameters, namely Al2O3 (wt.%), graphite (Gr) (wt.%), Applied Load (AL), and Sliding Distance (SD) on Specific Wear Rate (SWR), Wear (WE), and Coefficient Of Friction (COF) in the dry sliding wear process of AA7075/Al2O3/Gr composites. In TODIM, overall dominance degree (ψi) represents SWR, WE and COF. The novelty of this work lies in the integrated application of BWM-TODIM for multi-criteria optimization of the wear process parameters and the percentage of reinforcements in composites. The Taguchi method (L18) was used for the conduction of wear tests. According to the BWM-TODIM approach, optimized parameter levels of Al2O3=3%, Gr=6%, AL=10 N and SD=2000 m resulted in desirable wear criteria (SWR=5.554×10-4 mm3/N-m, WE=46.78 μm and COF = 0.122). SEM analysis of the worn surface of the best alternative-A16 (optimal levels) showed better surface integrity as compared to that of the worst alternative-A3. ANOVA of ψi revealed that parameters such as AL, Al2O3 and Gr were significant. The robustness and reliability of TODIM were analysed using sensitivity analysis. It revealed that it was highly robust with modification of criteria weights, fairly robust with variation of attenuation factor for losses (θ), and inconsistent with the majority of popular MCDM methods. Beyond the sensitivity analysis, TODIM was further validated by comparison with the multi-response optimizer like Composite Desirability Function (CDF), and by performing a statistical validation test using Bootstrapping, both of which yielded satisfactory results. |
| Key words: Wear, Multi-criteria optimization, Best-worst method, TODIM, Sensitivity analysis, Bootstrapping |
| DOI：10.11916/j.issn.1005-9113.2025066 |
| Clc Number:TH122,TP273 |
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| Descriptions in Chinese: |
| The main aim of this study is to apply the integrated Multi-Criteria Decision-Making (MCDM) approach of the Best-Worst Method (BWM) and TOmada de Decisao Interativa Multicriterio (TODIM) for multi-criteria optimization of parameters, namely Al2O3 (wt.%), graphite (Gr) (wt.%), Applied Load (AL), and Sliding Distance (SD) on Specific Wear Rate (SWR), Wear (WE), and Coefficient Of Friction (COF) in the dry sliding wear process of AA7075/Al2O3/Gr composites. In TODIM, overall dominance degree (ψi) represents SWR, WE and COF. The novelty of this work lies in the integrated application of BWM-TODIM for multi-criteria optimization of the wear process parameters and the percentage of reinforcements in composites. The Taguchi method (L18) was used for the conduction of wear tests. According to the BWM-TODIM approach, optimized parameter levels of Al2O3=3%, Gr=6%, AL=10 N and SD=2000 m resulted in desirable wear criteria (SWR=5.554×10-4 mm3/N-m, WE=46.78 μm and COF = 0.122). SEM analysis of the worn surface of the best alternative-A16 (optimal levels) showed better surface integrity as compared to that of the worst alternative-A3. ANOVA of ψi revealed that parameters such as AL, Al2O3 and Gr were significant. The robustness and reliability of TODIM were analysed using sensitivity analysis. It revealed that it was highly robust with modification of criteria weights, fairly robust with variation of attenuation factor for losses (θ), and inconsistent with the majority of popular MCDM methods. Beyond the sensitivity analysis, TODIM was further validated by comparison with the multi-response optimizer like Composite Desirability Function (CDF), and by performing a statistical validation test using Bootstrapping, both of which yielded satisfactory results. |
