Application of Hybrid AHP-TOPSIS Technique in Analyzing Material Performance of Silicon Carbide Ceramic Particulate Reinforced AA2024 Alloy Composite

Bhaskar, Sourabh; Kumar, Mukesh; Patnaik, Amar

doi:10.1007/s12633-019-00211-8

Cited by 26 publications

(17 citation statements)

References 26 publications

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“…Otherwise, a pair-wise comparison matrix needs to reconstruct to remove any kind of inconsistency. Table 5 44,51 shows the random index (RI) values for the pair-wise comparison matrices with the order form 1 to 10. The RI is the average of the consistency index of 500 randomly generated matrices.…”

Section: Hybrid Ahp-vikor Selection Making Techniquementioning

confidence: 99%

Parametric optimization and ranking analysis of hybrid epoxy polymer composites based on mechanical, thermo-mechanical and abrasive wear performance

Kumar

Tak

et al. 2020

High Performance Polymers

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In this research work, designing and fabrication of hybrid epoxy polymer composite materials had been carried out. It consists of basalt fiber (constant fraction) and marble dust particulates (0–10 wt% @ step of 2.5%) ensuing five compositions namely, MBE-0, MBE-2.5, MBE-5, MBE-7.5, and MBE-10. The specimen’s undergone physical, mechanical, and thermo-mechanical characterizations followed by three-body abrasive wear performance evaluation. Parametric optimizations of the wear have been evaluated with the Taguchi technique. The performance data are used to rank the compositions using a hybrid AHP-VIKOR selection making tool. It has been observed that voids content improves with reinforcement up to 5 wt% marble dust reinforcement, thereafter, it deteriorates sharply. The mechanical properties with 5 wt% marble dust reinforcement found to be highest. The thermo-mechanical characteristics like modulus and damping improve with marble dust reinforcement and temperature. The Cole-Cole plots reveal the heterogeneity present in the composites. The Taguchi’s analysis reveals the order of operating factors influencing specific wear rate as abrading distance > normal load > reinforcement composition > abrasive size. The steady state-specific wear rate of the composites reveals decremented rate across the abrading distance range irrespective of reinforcement proportions and at any specific abrading distance the order it followed as MBE-5 < MBE-7.5 < MBE-2.5 < MBE-10 < MBE-0. The ranking analysis using hybrid AHP-VIKOR technique predicts the ranking sequence as MBE-5 > MBE-7.5 > MBE-2.5 > MBE-10 > MBE-0, which are in-line with subjective analysis.

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Section: Hybrid Ahp-vikor Selection Making Techniquementioning

confidence: 99%

Parametric optimization and ranking analysis of hybrid epoxy polymer composites based on mechanical, thermo-mechanical and abrasive wear performance

Kumar

Tak

et al. 2020

High Performance Polymers

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“…AHP method requires determination of criteria by using a pair-wise comparison matrix. In which, the majority of criteria are compared against each other considering a nine-point scale [8] as depicted in figure6. The comparison matrix (Zu×u) was computed by applying Eq.7.…”

Section: Multi-criteria Decision Analysis: Copras and Critic-ahpmentioning

confidence: 99%

“…As per the details described in [8], a Consistency Ratio (CR) was determined. There was settled a higher limit such as CR is ≤0.1.…”

Section: Multi-criteria Decision Analysis: Copras and Critic-ahpmentioning

confidence: 99%

“…They have investigated the ranking of optimization of composite materials by the evaluation of different option and leading to most appropriate one. The most criteria used was Fuzzy-TOPSIS, VIKOR, AHP, GRA, DL, MDL, PSI, T-SAW, COPRAS ELECTRE, MOORA-fuzzy [5][6][7][8][9][10][11][12][13][14]. Dewangan et al [10] applied Fuzzy-TOPSIS based MCDM approach for the optimization of parametric contribution of EDM process parameters on surface integrity and dimensional accuracy of tool material.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Design Based on Fabricated SiC/B4C/Porcelain Filled Aluminium Alloy Matrix Composite Using Hybrid AHP/CRITIC-COPRAS Approach

Aherwar

Pruncu

Mia

2021

Silicon

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In this present study, SiC, B4C and waste porcelain reinforced AA7075 alloy composites are fabricated by adopting stir casting approach. Twelve formulations based on different weight percentages of reinforcers (3 wt.%, 4.5 wt.%, 6wt.% and 7.5 wt.%.) were manufactured and afterward analysed in terms of physical, mechanical, corrosion and tribological performances. The reinforcers of less than 53 µm size were consistently blended in molten AA7075 accompanied by stirring process. To identify the best suitable formulation the density, hardness, tensile strength, compressive strength, flexural strength, friction coefficient, wear and corrosion rate were fixed as selection criteria. The composite containing 7.5 wt.% B4C (ASBP-8) exhibited the highest mechanical strength (Hardness=162 Hv; Tensile strength= 298 MPa; Compressive strength= 221 MPa; and Flexural strength= 267 MPa), whereas wear performance (at 40N load and 1300 m SD= 0.00261 grams; and at 5.026 m/sec SV and 1300m SD= 0.0231 grams) and coefficient of friction (at 40N load and 1300 m SD= 0.536 grams; and at 5.026 m/sec SV and 1300m SD= 0.47 grams) remain the lowest for 6 wt.% porcelain (ASBP-11) based composites.The density and corrosion rate remains lowest for the composite containing 7.5 wt.% porcelain (ASBP-12).Since no single composite(ASBP-1 to ASBP-12) could merely satisfy all the desired characteristics; to this end, this study applied a novel hybrid AHP/CRITIC-COPRAS method for the selection of optimal alternative material for automotive components. The weight of each material evaluated was determined by establishing a criterion of importance by applying intercriteria correlation (CRITIC) and analytic hierarchy process (AHP) methods. The alternative ranking was evaluated using the complex proportional assessment (COPRAS) method. The evaluation indicated that the AA7075 containing 7.5wt.% porcelain (ASBP-12) composite possesses the best material solution to be used in automotive applications.

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“…Bhaskar et al. 8 used a multi-criteria decision-making method, combining a hybrid analytic hierarchy process and technique for order of preference by similarity to ideal solution (TOPSIS) to rank the composites. Cicek and Celik 9 developed a model selection interface to enable analytical solutions for different problem concepts in material selection under multiple attribute decision-making environments.…”

Section: Introductionmentioning

confidence: 99%

Layer thickness optimization of ceramic composite for body armor by considering volume, weight, and cost

Palacı

Arikan²

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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This study investigates visualization of optimized layer thickness with a ternary diagram by considering Volume, Weight, and Cost priorities to determine the composite structure of alternative ceramics to use in body armor application by using the Digital Logic Method (DLM). Three criterion priorities (volume, weight, cost) have been investigated to help designers decide on optimum ceramic material for their applications. Alumina (Al2O3), silicon carbide (SiC), silicon nitride (Si3N4), and boron carbide (B4C) were analyzed and ranked to decide for material selection based on priorities. The analysis results showed that silicon nitride (Si3N4) had the maximum performance index (PI) point (80.0) based on the volume priority. On the other hand, while boron carbide (B4C) had the maximum PI point (76.4) in terms of the weight priority, alumina (Al2O3) was determined to be the best material according to the cost priority. PI point of alumina (Al2O3) was calculated as 100. A ternary diagram was developed for decision-makers to visualize material selection performances. The optimization of the ceramic composite layer thickness of the alternative ceramic materials is visualized by considering three criteria.

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Application of Hybrid AHP-TOPSIS Technique in Analyzing Material Performance of Silicon Carbide Ceramic Particulate Reinforced AA2024 Alloy Composite

Cited by 26 publications

References 26 publications

Parametric optimization and ranking analysis of hybrid epoxy polymer composites based on mechanical, thermo-mechanical and abrasive wear performance

Parametric optimization and ranking analysis of hybrid epoxy polymer composites based on mechanical, thermo-mechanical and abrasive wear performance

Optimal Design Based on Fabricated SiC/B4C/Porcelain Filled Aluminium Alloy Matrix Composite Using Hybrid AHP/CRITIC-COPRAS Approach

Layer thickness optimization of ceramic composite for body armor by considering volume, weight, and cost

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