Surface roughness modeling of CBN hard steel turning

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dc.contributor.authorKovač, P.en
dc.contributor.authorTaric, M.en
dc.contributor.authorRodić, D.en
dc.contributor.authorNedic, B.en
dc.contributor.authorSavković, B.en
dc.contributor.authorJešić, D.en
dc.date.accessioned2019-03-20T12:12:56Z
dc.date.available2019-03-20T12:12:56Z
dc.date.issued2018
dc.description.abstractStudy in the paper investigate the influence of the cutting conditions parameters on surface roughness parameters during turning of hard steel with cubic boron nitrite cutting tool insert. For the modeling of surface roughness parameters was used central compositional design of experiment and artificial neural network as well. The values of surface roughness parameters Average mean arithmetic surface roughness (Ra) and Maximal surface roughness (Rmax) were predicted by this two-modeling methodology and determined models were then compared. The results showed that the proposed systems can significantly increase the accuracy of the product profile when compared to the conventional approaches. The results indicate that the design of experiments modeling technique and artificial neural network can be effectively used for the prediction of the surface roughness parameters of hard steel and determined significantly influential cutting conditions parameters.en
dc.identifier.citationSurface roughness modeling of CBN hard steel turning / P. Kovač [et al.] // Резание и инструменты в технологических системах = Cutting & tools in technological systems : междунар. науч.-техн. сб. – Харьков : НТУ "ХПИ", 2018. – Вып. 89. – С. 78-87.en
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/40336
dc.language.isoen
dc.publisherНациональный технический университет "Харьковский политехнический институт"ru
dc.subjectRSMen
dc.subjectneural networken
dc.subjecthard steelen
dc.subjectinput factoren
dc.subjectgradient descent methoden
dc.titleSurface roughness modeling of CBN hard steel turningen
dc.typeArticleen

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Кафедра "Інтегровані технології машинобудування ім. М. Ф. Семка"