Araştırma Makalesi

Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach

Cilt: 23 Sayı: 3 1 Eylül 2020
PDF İndir
EN TR

Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach

Öz

Crankshafts are used in especially engines. Crankshafts are usually effected bending and torsional stress. These loading situations are important for design of engine and its parts. Crankshaft design requires design experience and engineering calculations. When the engineering calculation is performed, stress concentration factor is put into effect. These factors are usually obtained from Stress concentration factor Charts. Reading the real stress concentration factor from charts can be resulted in getting from false values.  This study is an update work of old studies.  Using the new computer techniques stress concentration factor values were converted into numerical values.  Stress concentration factor values were collected in a database. Artificial Neural Network (ANN) Model was improved using the database. ANN model is gave to us time economy and high accuracy of obtaining the stress concentration values. 

Anahtar Kelimeler

Kaynakça

  1. REFERENCES [1] Arai J,” The bending stress concentration factor of solid crankshaft”, Bulletin of JSME, 8, 322, (1965).
  2. [2] Peterson R. E, “Fatigue of shafts having keyways”, Proc. ASTM. 32.2, 413, (1932).
  3. [3] Peterson R. E, “Methods of correlating data from fatigue tests of stress concentration specimens”, Stephen Timoshenko Anniversary Volume, Macmillan, New York. 179, (1938).
  4. [4] Staul G, “Der Einfluβ der form auf di Spannungen in Kurbelwellen”, Konstruction, 10, 2, (1958).
  5. [5] Pfender M, Amedick E. and Sonntag, “Einfluβ der Formgebung auf die soannungsverteilung in kurbelkropfungen”, M.T.Z., 27, 225, (1966).
  6. [6] Fessler H. and Sood, V. K, “Stress distribution in some diesel engine crankshaft, Trans”, ASME Diesel and engine Power Division conference, Toronto, Paper 71, 1, (1971).
  7. [7] Baragetti S, “Design Criteria for High Power Engines Crankshafts the Open”, Mechanical Engineering Journal, 9, 271-281, (2015).
  8. [8] Bargis E. Garro A. And Vullo V, “Crankshaft design and evaluation -Part 1 -Critical analysis and experimental evaluation of current methods, Part 2 -A modern design method: modal analysis -Part 3 -Modern design method: direct integration”, In: The international conference on reliability, stress analysis and failure prevention, Century 2 emerging technology conferences, San Francisco, California, (1980).

Ayrıntılar

Birincil Dil

Türkçe

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

1 Eylül 2020

Gönderilme Tarihi

1 Şubat 2020

Kabul Tarihi

9 Şubat 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 23 Sayı: 3

Kaynak Göster

APA
Toktaş, İ., Özkan, M. T., Erdemir, F., & Yuksel, N. (2020). Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach. Politeknik Dergisi, 23(3), 813-819. https://doi.org/10.2339/politeknik.683270
AMA
1.Toktaş İ, Özkan MT, Erdemir F, Yuksel N. Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach. Politeknik Dergisi. 2020;23(3):813-819. doi:10.2339/politeknik.683270
Chicago
Toktaş, İhsan, M. Tolga Özkan, Fulya Erdemir, ve Nurullah Yuksel. 2020. “Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach”. Politeknik Dergisi 23 (3): 813-19. https://doi.org/10.2339/politeknik.683270.
EndNote
Toktaş İ, Özkan MT, Erdemir F, Yuksel N (01 Eylül 2020) Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach. Politeknik Dergisi 23 3 813–819.
IEEE
[1]İ. Toktaş, M. T. Özkan, F. Erdemir, ve N. Yuksel, “Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach”, Politeknik Dergisi, c. 23, sy 3, ss. 813–819, Eyl. 2020, doi: 10.2339/politeknik.683270.
ISNAD
Toktaş, İhsan - Özkan, M. Tolga - Erdemir, Fulya - Yuksel, Nurullah. “Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach”. Politeknik Dergisi 23/3 (01 Eylül 2020): 813-819. https://doi.org/10.2339/politeknik.683270.
JAMA
1.Toktaş İ, Özkan MT, Erdemir F, Yuksel N. Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach. Politeknik Dergisi. 2020;23:813–819.
MLA
Toktaş, İhsan, vd. “Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach”. Politeknik Dergisi, c. 23, sy 3, Eylül 2020, ss. 813-9, doi:10.2339/politeknik.683270.
Vancouver
1.İhsan Toktaş, M. Tolga Özkan, Fulya Erdemir, Nurullah Yuksel. Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach. Politeknik Dergisi. 01 Eylül 2020;23(3):813-9. doi:10.2339/politeknik.683270

Cited By

 
TARANDIĞIMIZ DİZİNLER (ABSTRACTING / INDEXING)
181341319013191 13189 13187 13188 18016 

download Bu eser Creative Commons Atıf-AynıLisanslaPaylaş 4.0 Uluslararası ile lisanslanmıştır.