کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7893727 | 1509962 | 2018 | 70 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural network modelling studies of steam oxidised kinetic behaviour of advanced steels and Ni-based alloys at 800â¯Â°C for 3000â¯h
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
سرامیک و کامپوزیت
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Neural network modelling studies of steam oxidised kinetic behaviour of advanced steels and Ni-based alloys at 800â¯Â°C for 3000â¯h Neural network modelling studies of steam oxidised kinetic behaviour of advanced steels and Ni-based alloys at 800â¯Â°C for 3000â¯h](/preview/png/7893727.png)
چکیده انگلیسی
Two solid-solution strengthened alloys, (HAYNES® 230®, 617 alloy), two gamma - prime (γ') strengthened alloys, (263 and HAYNES® 282®) and Cr rich steels (309S, 310S and HR3C) were tested under 1â¯bar pressure in 100% steam at 800â¯Â°C for 3000â¯h. The steels showed better resistance in terms of corrosion behaviour, where no internal corrosion occurred. The exposed samples were characterised using SEM, EDS and XRD. Artificial neural networking (ANN) was used to predict kinetic behaviour of the alloys after exposure by Time Delay Neural Networking (TDNN) and Non-linear Autoregressive Neural Networking (NARNN).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Corrosion Science - Volume 133, 1 April 2018, Pages 94-111
Journal: Corrosion Science - Volume 133, 1 April 2018, Pages 94-111
نویسندگان
T. Dudziak, P. Gajewski, B. ÅnieżyÅski, V. Deodeshmukh, M. Witkowska, W. Ratuszek, K. ChruÅciel,