کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
619627 | 1455046 | 2009 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of contact temperature rise between rough sliding bodies: An artificial neural network approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
شیمی کلوئیدی و سطحی
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چکیده انگلیسی
Prediction of contact temperature rise between sliding bodies is difficult due to the large number of parameters that affect the contact phenomenon. It is far more complex if the instantaneous roughness of the sliding pair is taken into consideration since the roughness may change significantly during sliding. It was felt that a multilayer feedforward neural network might be a convenient method to predict the change in surface roughness and the instantaneous maximum temperature rise at the contact between rough sliding bodies. The model accepts initial surface roughness of the mating surfaces, their material properties and the operating parameters as input variables and predicts the final surface roughness and the corresponding maximum contact temperature after a specified sliding time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Wear - Volume 266, Issues 9â10, 24 April 2009, Pages 1029-1038
Journal: Wear - Volume 266, Issues 9â10, 24 April 2009, Pages 1029-1038
نویسندگان
Sudipto Ray, S.K. Roy Chowdhury,