The use of entropy-based GRA approach to analyze and optimize the wire electrical discharge machining process for Nitronic-30

Mohite, Nilesh T.; Patil, Geetanjali V.; Kallol, Anupama N.

doi:10.1016/j.matpr.2021.07.133

Cited by 4 publications

(1 citation statement)

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“…In this investigation, it was observed that ranking of impregnation materials are in descending order as A-5 > Furthermore, the ranking results of the proposed entropy-TOPSIS methodology were compared to those of other common MCDM methodologies to validate its applicability. The ranking results obtained by the entropy-TOPSIS approach were compared with VIKOR (Visekriterijumska optimizacija kompromisno resenjemeaning) [47] , ARAS (Additive ratio assessment) [48] , GRA (Grey relation analysis) [49] , PROMETHEE II (Preference ranking organization method for enrichment evaluation II) [50] , MOORA (Multiple objective optimization on the basis of ratio analysis) [51] , COPRAS (Complex proportional assessment) [52] approaches and ranking results are given in Table 8 and Figure 4. Table 8 demonstrates that the alternative A-5 highest of all other alternatives and the alternative A-1 lowest when solved with all the methods.…”

Section: Resultsmentioning

confidence: 99%

Selection of materials with entropy-topsis by considering technological properties of impregnated wood

2022

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In this study, the hybrid Entropy-TOPSIS method is applied to the problem of selecting an optimal impregnation material with maximum performance requirements. Swelling, shrinkage, bending strength, modulus of elasticity, compressive strength and shock strength values were used to rank the impregnation materials. Barite, boric acid, borax and their mixture were used to impregnation material. The impregnation materials used in the study generally increased the physical and mechanical properties of the spruce specimens, except swelling. The impregnation materials reduced the swelling of the specimens. According to the entropy method, the most important factor affecting the success of the impregnation process was the modulus of elasticity. According to the TOPSIS method, the most successful impregnation material was a mixture of barite and boric acid. Moreover, the proposed method was compared with other Multi-Criteria Decision-Making (MCDM) approaches and it can be used to ranking of impregnation materials with reliable accuracy.

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