Artificial neural networks for modelling the microhardness of plasma immersion ion implanted AISI 304 SS

• Autorzy: Durmus H. , Saklakoglu N.

Warianty tytułu

PL

Sztuczne sieci neuronowe w modelowaniu mikrotwardości stali nierdzewnej AISI 304 po implantacji jonowej plazmowym zanurzeniem

• Języki publikacji: EN

Abstrakty

EN

This paper reports on the effectiveness of a back-propagation artificial neural network model that predicts the micro-hardness of 304 austenitic stainless steel samples which have been implanted with nitrogen using plasma immersion ion implantation (PIH) at different temperatures between 350 and 500°C. Artificial Neural Networks (ANNs) have the capacity to eliminate the need for expensive and difficult experimental investigation in testing and manufacturing processes. This paper shows that ANNs can be employed for optimizing the process parameters of AISI 304 austenitic stainless steel. Predicted values from the model and experimental values are in close agreement and this indicates the usefulness of applying ANNs in predicting hardness results.

PL

W artykule opisano efektywność modelu opartego o sieć neuronową wstecznej propagacji, który przewiduje mikrotwardość stali nierdzewnej AISI 304 poddanej implantacji jonowej plazmowym zanurzeniem w różnych temperaturach pomiędzy 350 i 500°C. Sztuczna sieć neuronowa (SNN) stwarza możliwość ograniczenia kosztownych i trudnych badań doświadczalnych i prób w warunkach przemysłowych. W artykule pokazano, że SNN może zostać zastosowana do optymalizacji parametrów procesu dla austenitycznej stali nierdzewnej AISI 304. Zaobserwowano dobrą zgodność między przewidywaniami modelu i obserwacjami doświadczalnymi, co potwierdza przydatność SNN w modelowaniu twardości wyrobów po implantacji jonowej plazmowym zanurzeniem.

Słowa kluczowe

EN

plasma immersion ion implantation; austenitic stainless steel; microhardness; ANN; back propagation algorithm

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Methods in Materials Science
• Rocznik: 2008
• Tom: Vol. 8, No. 2
• Strony: 86--92
• Opis fizyczny: Bibliogr. 20 poz., rys.

Twórcy

autor

Durmus H.

autor

Saklakoglu N.

• 1Celal Bayar University, Turgutlu Technical Vocational School of Higher Education, Turgutlu-Manisa, 45400, Turkey. Celal Bayar University, Faculty of Engineering, Mechanical Engineering Department, 45140 Manisa - Turkey,

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