Effect of the central radial groove on the bearing pressure distribution based on the artificial neural network

Joint Authors

Sultan, Husayn Sadiq
Khalid, Mahir A.
Khayun, Imad Abd al-Kazim

Source

Basrah Journal for Engineering Sciences

Issue

Vol. 14, Issue 2 (31 Dec. 2014), pp.51-55, 5 p.

Publisher

University of Basrah College of Engineering

Publication Date

2014-12-31

Country of Publication

Iraq

No. of Pages

5

Main Subjects

Physics

Abstract EN

An experimental study has been implemented to study the effect of the central radial groove on the bearing pressure distribution.

This study is based on the artificial neural network in the prediction of the complex and uncertain positions.

Both width and depth of the groove have been varied at some magnitudes in order to investigate their effects on the pressure distribution and the stability of the bearing.

Also, the effect of the groove parameters on the noise at the bearing situation in the systems have been analyzed and discussed.

The results show that the use of neural network in the prediction of some points with range is very powerful in the minimization of the overall cost of groove design.

American Psychological Association (APA)

Sultan, Husayn Sadiq& Khalid, Mahir A.& Khayun, Imad Abd al-Kazim. 2014. Effect of the central radial groove on the bearing pressure distribution based on the artificial neural network. Basrah Journal for Engineering Sciences،Vol. 14, no. 2, pp.51-55.
https://search.emarefa.net/detail/BIM-697162

Modern Language Association (MLA)

Sultan, Husayn Sadiq…[et al.]. Effect of the central radial groove on the bearing pressure distribution based on the artificial neural network. Basrah Journal for Engineering Sciences Vol. 14, no. 2 (2014), pp.51-55.
https://search.emarefa.net/detail/BIM-697162

American Medical Association (AMA)

Sultan, Husayn Sadiq& Khalid, Mahir A.& Khayun, Imad Abd al-Kazim. Effect of the central radial groove on the bearing pressure distribution based on the artificial neural network. Basrah Journal for Engineering Sciences. 2014. Vol. 14, no. 2, pp.51-55.
https://search.emarefa.net/detail/BIM-697162

Data Type

Journal Articles

Language

English

Notes

Includes appendices : p. 54-56

Record ID

BIM-697162