Fatigue life modeling of gear like products using ANN
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Natl Inst Science Communication-Niscair
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The expected life of a gear is important parameter especially for the gears to secure of the mechanics of it. Related to this importance, fatigue failure is one of the most seen failures occurred on gears working under cyclic loads. It is not possible to eliminate fatigue failure effects but it is possible to reduce by appropriate materials selection and design criteria. Due to demand for gears with higher load-carrying capacity and increased fatigue life, it is important to determine the fatigue strengths of the gears. hi this study, forward extrusion method with cosine and tapered profile dies is carried out to obtain gear-like products. The products are then tested under cyclic loads to determine the fatigue life. The results obtained from the experiments are used as inputs in developing the ANN models. Different ANN models are developed for cosine curved and straight tapered profiles to obtain the best models. A comparative analysis is performed in order to evaluate the accuracy of the developed models, in terms of statistical measurements (R-2, MSE, MAE). Results revealed that proposed ANN models for both cosine curved and tapered profiles are able to predict the fatigue life of the gear-like profiles.
Açıklama
Anahtar Kelimeler
Fatigue, Gear Forming, ANN, Extrusion, Artificial Neural-Network, Stress-Strain Curve, Spur Gears, Bending Fatigue, Aluminum-Alloy, Maximum Fillet, Titanium-Alloy, Contact Ratio, Flow-Stress, Prediction
Kaynak
Indian Journal Of Engineering And Materials Sciences
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
23
Sayı
4
