Determination of hardness of AA 2004 aluminium alloy under ageing conditions by means of artificial neural networks method

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dc.contributor.authorAtik E.
dc.contributor.authorMeric C.
dc.contributor.authorKarlik B.
dc.date.accessioned2024-07-22T08:24:19Z
dc.date.available2024-07-22T08:24:19Z
dc.date.issued2004
dc.description.abstractAs known, 2XXX and 7XXX Aluminium wrought alloys can have high strength values by means of precipitation hardening heat treatment. Determination of the precipitation hardening conditions, which can give the most suitable strength values of an alloy, requires numerous tests. But the results of this process which require long time and high cost can be obtained in a shorter time and at a lower cost with less data by means of Artificial Neural Networks method. Since this method is used, less number of experiments and therefore less data are needed. Then other values are found by means of Artificial Neural Networks (ANN) method. This paper, presents the feed forward ANN to determine hardness of alloy for different temperatures. For this purpose, a classic Back-Propagation Algorithm was used that is structure as 1:2:4.
dc.identifier.issn00260746
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/19926
dc.language.isoEnglish
dc.subjectAging of materials
dc.subjectBackpropagation
dc.subjectCosts
dc.subjectData acquisition
dc.subjectHardening
dc.subjectHardness testing
dc.subjectHeat treatment
dc.subjectHot rolling
dc.subjectNeural networks
dc.subjectPrecipitation (chemical)
dc.subjectStrength of materials
dc.subjectClassic back-propogations
dc.subjectPrecipitation-hardening alloys
dc.subjectSub microscopic particles
dc.subjectWrought alloys
dc.subjectAluminum alloys
dc.titleDetermination of hardness of AA 2004 aluminium alloy under ageing conditions by means of artificial neural networks method
dc.typeReview

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