Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/4767
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Atik, F. | - |
dc.contributor.author | Sarucan, A. | - |
dc.date.accessioned | 2023-11-11T09:03:39Z | - |
dc.date.available | 2023-11-11T09:03:39Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9783031397738 | - |
dc.identifier.issn | 2367-3370 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-031-39774-5_52 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/4767 | - |
dc.description | Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549 | en_US |
dc.description.abstract | In order to effectively prevent corrosion and ensure a long service life, the galvanizing (alkaline zinc plating) process is a frequently used process in the industrial field. The galvanizing process, which has a wide range of applications, especially in the automotive industry, the construction sector and the white goods industry, offers various benefits, especially the production of corrosion-resistant and long-lasting products to reduce costs. As a process with a large number of parameters, Galvanized coating can be made more efficient for industrial enterprises. In order to optimize the process, Taguchi method and fuzzy logic were used in the study. 8 factors and 4 performance characteristics that are effective in the process were tried to be improved with 27 experiments determined according to the Taguchi method. In order to find the optimal levels of the parameters, the signal-to-noise (S/N) ratio was determined and the best combination of factors was determined. In order to test the effectiveness and efficiency of this approach, verification experiments were conducted and the results were presented. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
dc.relation.ispartof | Lecture Notes in Networks and Systems | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Alkaline zinc coating | en_US |
dc.subject | Fuzzy Logic | en_US |
dc.subject | Taguchi | en_US |
dc.subject | Automotive industry | en_US |
dc.subject | Computer circuits | en_US |
dc.subject | Construction industry | en_US |
dc.subject | Corrosion resistance | en_US |
dc.subject | Corrosion resistant coatings | en_US |
dc.subject | Taguchi methods | en_US |
dc.subject | Zinc coatings | en_US |
dc.subject | Alkaline zinc coating | en_US |
dc.subject | Alkalines | en_US |
dc.subject | Fuzzy-Logic | en_US |
dc.subject | Galvanising | en_US |
dc.subject | Long service life | en_US |
dc.subject | Model-based OPC | en_US |
dc.subject | Optimisations | en_US |
dc.subject | Plating process | en_US |
dc.subject | Taguchi | en_US |
dc.subject | Taguchi's methods | en_US |
dc.subject | Fuzzy logic | en_US |
dc.title | Optimization of Alkaline Zinc Plating Process in a Company Using Taguchi Model Based on Fuzzy Logic | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1007/978-3-031-39774-5_52 | - |
dc.identifier.scopus | 2-s2.0-85171977815 | en_US |
dc.department | KTÜN | en_US |
dc.identifier.volume | 758 LNNS | en_US |
dc.identifier.startpage | 462 | en_US |
dc.identifier.endpage | 470 | en_US |
dc.institutionauthor | … | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 58613900700 | - |
dc.authorscopusid | 54405086400 | - |
dc.identifier.scopusquality | Q4 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Conference Object | - |
crisitem.author.dept | 02.09. Department of Industrial Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.