Selection of semiconductor packaging materials by combined Fuzzy AHP-Entropy and proximity index value method

dc.contributor.authorBingöl, Sedat
dc.date.accessioned2024-04-24T17:12:17Z
dc.date.available2024-04-24T17:12:17Z
dc.date.issued2022
dc.departmentDicle Üniversitesien_US
dc.description.abstractThe residue of no-clean flux (NCF) on the printed circuit board assembly has been one of the major reasons for corrosion reliability failure of electronic devices. The source of aggressive contamination is the carboxylic acid activator as the main cleaning agent for soldering surfaces. Selecting the suitable activator has always been one of the concerns due to its conflicting properties, for example, suberic acid has a lower boiling point that will help in minimizing the residue; however, its dissociation constant is low which will increase the aggressive residue. The selection of a suitable activator based on the conflicting criteria is a multicriteria decision-making (MCDM) problem. In this study, thirty-one carboxylic acids (mono, di, tri, and hydroxyl) were ranked based on the six different criteria, i.e., melting point, molecular weight, boiling point, acid dissociation constant (pK(a)a value), solubility, and number of carboxylic acids using combined fuzzy AHP-entropy and the proximity index value method. Weight of the criterion was calculated using combined fuzzy AHP-entropy; whereas, ranking of the alternative carboxylic acid was done by the proximity index value method. First, the ranking was done based on the overall carboxylic acid; consequently, the groupwise ranking was also evaluated. As a result of this study, margaric acid occupied rank 1 out of all the thirty-one carboxylic acids and monocarboxylic acids; whereas, malonic acid acquired the lowest rank. In addition, out of 9 dicarboxylic acids, sebacic acid was the most suitable alternative. In the case of tricarboxylic acids, trimesic acid was a suitable alternative. Sensitivity analysis was performed to verify the reliability and consistency of the result obtained through applied MCDM.en_US
dc.identifier.citationBingöl, S. (2022). Selection of semiconductor packaging materials by combined Fuzzy AHP-Entropy and proximity index value method. Genetics Research, 2022, 1-12.
dc.identifier.doi10.1155/2022/7901861
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.scopus2-s2.0-85146128899
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1155/2022/7901861
dc.identifier.urihttps://hdl.handle.net/11468/17922
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1155/2022/7901861
dc.identifier.volume2022en_US
dc.identifier.wosWOS:000908916900001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherHindawi Ltden_US
dc.relation.ispartofMathematical Problems in Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keyword]en_US
dc.titleSelection of semiconductor packaging materials by combined Fuzzy AHP-Entropy and proximity index value methoden_US
dc.titleSelection of semiconductor packaging materials by combined Fuzzy AHP-Entropy and proximity index value method
dc.typeArticleen_US

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