Optimal Material Selection for Ship Body Based on Fabricated Zirconium Dioxide/ Silicon Carbide Filled Aluminium Hybrid Metal Alloy Composites Using Novel Fuzzy Based Preference Selection Index

Gangwar, Swati; Arya, Pratibha; Pathak, Vimal Kumar

doi:10.1007/s12633-020-00600-4

Cited by 30 publications

(20 citation statements)

References 43 publications

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“…Therefore, once the composition is fixed, the properties of the composite can be predicted by calculating the mixture rule. Also, Fuzzy Preference Selection Method (f-PSI) method and so forth are well-known as the method for selecting the optimal composite material from the given several composite candidates 15 .…”

Section: Resultsmentioning

confidence: 99%

Optimization of the composition in a composite material for microelectronics application using the Ising model

Imanaka

Anazawa

Kumasaka

et al. 2021

Sci Rep

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Tailored material is necessary in many industrial applications since material properties directly determine the characteristics of components. However, the conventional trial and error approach is costly and time-consuming. Therefore, materials informatics is expected to overcome these drawbacks. Here, we show a new materials informatics approach applying the Ising model for solving discrete combinatorial optimization problems. In this study, the composition of the composite, aimed at developing a heat sink with three necessary properties: high thermal dissipation, attachability to Si, and a low weight, is optimized. We formulate an energy function equation concerning three objective terms with regard to the thermal conductivity, thermal expansion and specific gravity, with the composition variable and two constrained terms with a quadratic unconstrained binary optimization style equivalent to the Ising model and calculated by a simulated annealing algorithm. The composite properties of the composition selected from ten constituents are verified by the empirical mixture rule of the composite. As a result, an optimized composition with high thermal conductivity, thermal expansion close to that of Si, and a low specific gravity is acquired.

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Section: Resultsmentioning

confidence: 99%

Optimization of the composition in a composite material for microelectronics application using the Ising model

Imanaka

Anazawa

Kumasaka

et al. 2021

Sci Rep

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“…The correct material selection technique entails precisely describing the application requirement in terms of mechanical properties, primarily for the utility class defined in the proposed application. Various researchers have used MADM methods such as VIKOR, EDAS, WSM PROMETHE, and TOPSIS to select the best material for specific applications in a range of fields such as automotive [11][12][13][14][15][16], marine [17,18], medical [19], and agriculture [20][21][22]. The VIKOR method outperformed the other 10 most common methods for selecting suitable materials for a sailing boat mast, a flywheel, and a cryogenic storage tank, according to the author [23].…”

Section: Introductionmentioning

confidence: 99%

Selection of Optimal Material from Stir Cast Aluminum Graphene Nano Platelets Composites for Aerospace Applications

Palampalle¹,

Dharmalingam²,

Royal³

2022

Aluminium Alloys - Design and Development of Innovative Alloys, Manufacturing Processes and Applications

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Qualitative and quantitative requirements when selecting materials for different properties can be difficult and ambiguous. An insufficient variety of materials can lead to component malfunction and failure at any point during their service. Owing to the vast availability of dissimilar materials, material selection in the engineering design phase is difficult and elusive. This study presents an EDAS (Evaluation based on Distance from Average Solution) and VIKOR (VIse Kriterijumska Optimizacijakompromisno Resenje) techniques for effective material selection for aviation applications. In this research, the selection index value was calculated using the EDAS and VIKOR entropy-based weight techniques. The MADM (multi-attribute decision making) procedure also selects the best weight per cent combination among pure aluminum reinforced with GNPs (graphene nanoplatelets) for aircraft applications based on its physical and mechanical properties. The results demonstrate that 0.5 wt% GNPs reinforced in pure aluminum has the best combination of both physical and mechanical qualities, according to the EDAS and VIKOR multi-criteria decision-making methodologies. The composites were made using the stir casting technique. MATLAB R2020a is used to grade and compare the composite materials.

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“…[18] Some important studies in the context of optimum material selection considering best properties have utilized PROMETHEE, AHP-GRA, PSI, and AHP-VIKOR decision techniques and successfully predicted the best composite formulations for different applications. [19][20][21][22] Aforementioned literature review suggests that methods adopted till date for best dental composite material selection requiring a significant amount of laboratory background and takes higher computational time. Moreover, there is still need of employing a simple and effective methodology which takes less calculation time.…”

Section: Introductionmentioning

confidence: 99%

Optimized selection of nanohydroxyapatite‐filled dental restorative composites formulation for best physico‐mechanical, chemical, and thermal properties using hybrid analytical hierarchy process‐multi‐objective optimization on the basis of ratio analysis approach

2021

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The present research explored and optimized dental restorative composite (DRC) materials filled with nanohydroxyapatite (n-HAP) based on their physico-mechanical, chemical, and thermal properties. In the same context, hybrid analytical hierarchy process (AHP) and multi-objective optimization on the basis of ratio analysis (MOORA) approach was proposed to select the best DRC with optimal combination of physico-mechanical, chemical, and thermal properties. Seven formulations based on Bis-GMA as a base monomer with APTES ((3-aminopropyl) triethoxysilane) and MPTS ((3-methacryloxypropyl) trimethoxy silane) silane-treated n-HAP as a filler were developed and examined for different characteristics. The experiments performed for evaluating various properties of fabricated DRCs formulations are as per the ASTM and ISO 4049 standards. The experimental results proved that APTES-and MPTStreated n-HAP enhances the physico-mechanical as well as chemical and thermal performance significantly. The DRCs show better sorption and solubility behavior when silane-treated n-HAP filler increases and remains in the acceptable range. The optimization of prepared samples was carried out in two phases: (a) finding weight of each attributes using AHP approach and (b) ranking the samples with MOORA approach. The hybrid AHP-MOORA results depict that optimal combination of physical, mechanical, chemical, and thermal characteristics was exhibited by the DRC sample with 8 wt% MPTStreated n-HAP filler.

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Optimal Material Selection for Ship Body Based on Fabricated Zirconium Dioxide/ Silicon Carbide Filled Aluminium Hybrid Metal Alloy Composites Using Novel Fuzzy Based Preference Selection Index

Cited by 30 publications

References 43 publications

Optimization of the composition in a composite material for microelectronics application using the Ising model

Optimization of the composition in a composite material for microelectronics application using the Ising model

Selection of Optimal Material from Stir Cast Aluminum Graphene Nano Platelets Composites for Aerospace Applications

Optimized selection of nanohydroxyapatite‐filled dental restorative composites formulation for best physico‐mechanical, chemical, and thermal properties using hybrid analytical hierarchy process‐multi‐objective optimization on the basis of ratio analysis approach

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