Estimations of Stress Concentration Factors (Cw/Kts) For Helical Circular/Square Cross Sectional Tension-Compression Springs And Artificial Neural Network Modelling

M. Tolga ÖZKAN; İhsan TOKTAŞ; Kaan DOĞANAY

doi:https://doi.org/10.2339/politeknik.718550

Makale detayları

Estimations of Stress Concentration Factors (Cw/Kts) For Helical Circular/Square Cross Sectional Tension-Compression Springs And Artificial Neural Network Modelling

Yazarlar:

M. Tolga ÖZKAN | İhsan TOKTAŞ | Kaan DOĞANAY

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2020 Vol.23 Issue 3, pp.901-908

Belge Tipi:

Makale

Yayın Tarihi:

8/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000589660

Sıklık:

Aylık

eISSN:

2147-9429

DOI:

https://doi.org/10.2339/politeknik.718550

Özet:

 

Springs are used for various purposes in machine design as they can store energy under load, due to their elastic deformation characteristics.  There are many types and profiles of springs.  For a round wire helical compression or tension spring of small pitch angle, the Wahl factor, a  correction factor (Cw) taking into account curvature and direct shear stress, is generally used in the design. The corresponding stress concentration factors, which may be useful for mechanics of materials problems, are obtained by taking the nominal shear stress τnom as the sum of the torsional stress (τ) and the direct shear stress (τ)  for round wire. In the case of the wire of square cross-section, τnom is the sum of the torsional stress and the direct shear stress. For design calculations it is recommended that the simpler Wahl factor be used. The same value of max will be obtained whether one uses Cw or Kts. This study contains the determination of stress concentration factor and Wahl factor. For this aim, stress concentration factor charts were converted numerical values for round and square wires. These values  were collected in an excel file. ANN (Artificial  Neural Networks) model was developed using the data. It is an easy and convenient method, ANN model, was presented for the determination of stress concentration and Wahl factor for spring design. .

 

Springs are used for various purposes in machine design as they can store energy under load, due to their elastic deformation characteristics.  There are many types and profiles of springs.  For a round wire helical compression or tension spring of small pitch angle, the Wahl factor, a  correction factor (Cw) taking into account curvature and direct shear stress, is generally used in the design. The corresponding stress concentration factors, which may be useful for mechanics of materials problems, are obtained by taking the nominal shear stress τnom as the sum of the torsional stress (τ) and the direct shear stress (τ)  for round wire. In the case of the wire of square cross-section, τnom is the sum of the torsional stress and the direct shear stress. For design calculations it is recommended that the simpler Wahl factor be used. The same value of max will be obtained whether one uses Cw or Kts. This study contains the determination of stress concentration factor and Wahl factor. For this aim, stress concentration factor charts were converted numerical values for round and square wires. These values  were collected in an excel file. ANN (Artificial  Neural Networks) model was developed using the data. It is an easy and convenient method, ANN model, was presented for the determination of stress concentration and Wahl factor for spring design. .

Makale detayları

Estimations of Stress Concentration Factors (Cw/Kts) For Helical Circular/Square Cross Sectional Tension-Compression Springs And Artificial Neural Network Modelling

Yazarlar: M. Tolga ÖZKAN | İhsan TOKTAŞ | Kaan DOĞANAY

Yayıncı: Gazi University

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Polytechnic 2020 Vol.23 Issue 3, pp.901-908

Belge Tipi: Makale

Yayın Tarihi: 8/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000589660

Sıklık: Aylık

eISSN: 2147-9429

DOI: https://doi.org/10.2339/politeknik.718550

Sayı

Yazarlar:

M. Tolga ÖZKAN | İhsan TOKTAŞ | Kaan DOĞANAY

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2020 Vol.23 Issue 3, pp.901-908

Belge Tipi:

Makale

Yayın Tarihi:

8/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000589660

Sıklık:

Aylık

eISSN:

2147-9429

DOI:

https://doi.org/10.2339/politeknik.718550