Optimizing the Design of Brake Disc Using Multi-criteria Decision-making Method AHP-TOPSIS for All-terrain Vehicle

Modi, Dhananj; Dalsaniya, Arrown; Fuse, Kishan; Kanakhara, Maulik

doi:10.1109/icitm48982.2020.9080399

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…These are powerful tools for solving problems with multiple criteria. Some MCDM techniques help in assigning systematic weights to the criteria and some assign hierarchy of the alternatives [ 32 ]. Ananthakumar et al [ 33 ] used the MCDM method, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), to determine the desired cutting conditions of plasma arc cutting.…”

Section: Introductionmentioning

confidence: 99%

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM

et al. 2021

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Titanium and its alloys exhibit numerous uses in aerospace, automobile, biomedical and marine industries because of their enhanced mechanical properties. However, the machinability of titanium alloys can be cumbersome due to their lower density, high hardness, low thermal conductivity, and low elastic modulus. The wire electrical discharge machining (WEDM) process is an effective choice for machining titanium and its alloys due to its unique machining characteristics. The present work proposes multi-objective optimization of WEDM on Ti6Al4V alloy using a fuzzy integrated multi-criteria decision-making (MCDM) approach. The use of MCDM has become an active area of research due to its proven ability to solve complex problems. The novelty of the present work is to use integrated fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal situation (TOPSIS) to optimize the WEDM process. The experiments were systematically conducted adapting the face-centered central composite design approach of response surface methodology. Three independent factors—pulse-on time (Ton), pulse-off time (Toff), and current—were chosen, each having three levels to monitor the process response in terms of cutting speed (VC), material removal rate (MRR), and surface roughness (SR). To assess the relevance and significance of the models, an analysis of variance was carried out. The optimal process parameters after integrating fuzzy AHP coupled with fuzzy TOPSIS approach found were Ton = 40 µs, Toff = 15 µs, and current = 2A.

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Section: Introductionmentioning

confidence: 99%

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM

et al. 2021

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Analysis of brake performance of an all-terrain vehicles by simulation and experimental techniques

Amarnath,

Karthi,

Kumar

et al. 2023

AIP Conference Proceedings

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Application of the MULTIMOORA Method to Evaluate Performance Results of Red Mud Reinforced Bronze Matrix Brake Pads

Avcu,

Kuş,

Sugözü

2024

IJASTECH

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The objective of this study is to investigate the effectiveness of the MULTIMOORA method strengthened with AHP to select the most suitable pad material among metal matrix composite brake pad materials reinforced with different proportions of red mud according to the criteria determining the efficiency of brake performance. For this purpose, five different brake pad samples reinforced with red mud, an industrial waste, at different weight ratios (0%, 2%, 4%, 6%, 8%) were produced and the physical, mechanical, and tribological properties of the pro-duced materials were characterized. Tribological characterization tests were carried out in accordance with TSE 555 using a specially designed brake dynamometer. The average coefficient of friction, specific wear rate, friction stability, hardness, density, and TRS values, which repre-sent important performance indicators of the pad material, were used as criteria for the selec-tion of pad material. According to the AHP method, the importance levels of these criteria in terms of brake performance were determined as 0.423, 0.205, 0.205, 0.088, 0.051, and 0.028, respectively. As a result of the evaluation made using the MULTIMOORA and MOOSRA method, it was determined that the RM-8 sample showed the best result in terms of brake performance among all samples. In addition, this material was followed by RM-6, RM-4, RM-0 and RM-2 samples, respectively. The findings of this study indicate that the MULTIMOORA method is an effective and reliable approach for selecting the optimal pad material among alterna-tives, according to the specified criteria.

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Optimizing the Design of Brake Disc Using Multi-criteria Decision-making Method AHP-TOPSIS for All-terrain Vehicle

Cited by 3 publications

References 11 publications

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM

Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM

Analysis of brake performance of an all-terrain vehicles by simulation and experimental techniques

Application of the MULTIMOORA Method to Evaluate Performance Results of Red Mud Reinforced Bronze Matrix Brake Pads

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