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

İhsan TOKTAŞ; M. Tolga ÖZKAN; Fulya ERDEMİR; Nurullah YUKSEL

Makale detayları

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

Yazarlar:

İhsan TOKTAŞ | M. Tolga ÖZKAN | Fulya ERDEMİR | Nurullah YUKSEL

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2020 Vol.23 Issue 3, pp.813-819

Belge Tipi:

Makale

Yayın Tarihi:

8/2020

Belge Dili:

Türkçe

Document ID (Org No.):

2000589621

Sıklık:

Aylık

eISSN:

2147-9429

Özet:

 

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.

 


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. 


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Makale detayları

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

Yazarlar: İhsan TOKTAŞ | M. Tolga ÖZKAN | Fulya ERDEMİR | Nurullah YUKSEL

Yayıncı: Gazi University

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Polytechnic 2020 Vol.23 Issue 3, pp.813-819

Belge Tipi: Makale

Yayın Tarihi: 8/2020

Belge Dili: Türkçe

Document ID (Org No.): 2000589621

Sıklık: Aylık

eISSN: 2147-9429

Sayı

Yazarlar:

İhsan TOKTAŞ | M. Tolga ÖZKAN | Fulya ERDEMİR | Nurullah YUKSEL

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2020 Vol.23 Issue 3, pp.813-819

Belge Tipi:

Makale

Yayın Tarihi:

8/2020

Belge Dili:

Türkçe

Document ID (Org No.):

2000589621

Sıklık:

Aylık

eISSN:

2147-9429