Determination of hardness of pre-aged AA 6063 aluminum alloy by means of artificial neural networks method

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dc.contributor.authorDurmuş H.
dc.contributor.authorÜnlü B.S.
dc.contributor.authorMeriç C.
dc.date.accessioned2024-07-22T08:24:52Z
dc.date.available2024-07-22T08:24:52Z
dc.date.issued2004
dc.description.abstractA lot of experiments must be conducted in order to find an appropriate technology for the calculation of strength of the materials, which wastes both man power and money. For this reason artificial neural networks (ANNs) have been used to search the optimum technology proper for pre-aged AA 6063 aluminum alloy. In this study, ANNs were used to compare experimental results and test data were used for teaching of the ANNs. This paper examines the changes in the hardness of AA 6063 alloys when heat treated at different pre-aging treatments. The alloy was solution treated for 1 hour at 525±3 °C and quenched in water. After quenching, samples were subjected to five different pre-aging times, 2 hours, 1 day, 3 days, 7 days. On the other hand, some specimens were not pre-aged. Artificial age temperatures were selected as 160 °C and 180 °C. The hardness values of these under-aged alloys were measured. When the pre-aging time was 7 days, the hardness values of the specimens increased. An excellent correlation was found between experimental hardness results and ANNs hardness results.
dc.identifier.DOI-ID10.3390/mca9020249
dc.identifier.issn1300686X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/20169
dc.language.isoEnglish
dc.publisherAssociation for Scientific Research
dc.rightsAll Open Access; Gold Open Access
dc.subjectAge hardening
dc.subjectHardness
dc.subjectLearning systems
dc.subjectNeural networks
dc.subjectQuenching
dc.subjectTemperature
dc.subjectPre-aging treatments
dc.subjectAluminum alloys
dc.titleDetermination of hardness of pre-aged AA 6063 aluminum alloy by means of artificial neural networks method
dc.typeArticle

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