A reduced-order method with PGD for the analysis of misaligned journal bearing
In recent years, machine component design has been a major concern for researchers. Emphasis has been placed especially on the analysis of bearing systems in order to avoid detrimental contact. The shaft misalignment is one of the most problems that affects directly the operating conditions of these...
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EDP Sciences
2021
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oai:doaj.org-article:e105e04940a04d038957d48d460eded82021-11-12T11:44:34ZA reduced-order method with PGD for the analysis of misaligned journal bearing2267-124210.1051/e3sconf/202132101012https://doaj.org/article/e105e04940a04d038957d48d460eded82021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/97/e3sconf_icchmt2021_01012.pdfhttps://doaj.org/toc/2267-1242In recent years, machine component design has been a major concern for researchers. Emphasis has been placed especially on the analysis of bearing systems in order to avoid detrimental contact. The shaft misalignment is one of the most problems that affects directly the operating conditions of these components. In this context, the present study proposes a reduced-order method "Proper Generalized Decomposition" (PGD) using the separation technique through the alternating direction strategy to solve the modified Reynolds equation, taking into account the presence of misalignment in the shafting system. The solution shows the representation of two types of misalignment geometry, especially axial and twisting. A comparison of the results between the proposed approach and the classical method, through several benchmark examples, made it possible to highlight that the new scheme is more efficient, converges quickly and provides accurate solutions, with a very low CPU time expenditure.Megdoud AbdelhakManser BelkacemBelaidi IdirBakir FaridKhelladi SofianeEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 321, p 01012 (2021) |
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Environmental sciences GE1-350 |
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Environmental sciences GE1-350 Megdoud Abdelhak Manser Belkacem Belaidi Idir Bakir Farid Khelladi Sofiane A reduced-order method with PGD for the analysis of misaligned journal bearing |
description |
In recent years, machine component design has been a major concern for researchers. Emphasis has been placed especially on the analysis of bearing systems in order to avoid detrimental contact. The shaft misalignment is one of the most problems that affects directly the operating conditions of these components. In this context, the present study proposes a reduced-order method "Proper Generalized Decomposition" (PGD) using the separation technique through the alternating direction strategy to solve the modified Reynolds equation, taking into account the presence of misalignment in the shafting system. The solution shows the representation of two types of misalignment geometry, especially axial and twisting. A comparison of the results between the proposed approach and the classical method, through several benchmark examples, made it possible to highlight that the new scheme is more efficient, converges quickly and provides accurate solutions, with a very low CPU time expenditure. |
format |
article |
author |
Megdoud Abdelhak Manser Belkacem Belaidi Idir Bakir Farid Khelladi Sofiane |
author_facet |
Megdoud Abdelhak Manser Belkacem Belaidi Idir Bakir Farid Khelladi Sofiane |
author_sort |
Megdoud Abdelhak |
title |
A reduced-order method with PGD for the analysis of misaligned journal bearing |
title_short |
A reduced-order method with PGD for the analysis of misaligned journal bearing |
title_full |
A reduced-order method with PGD for the analysis of misaligned journal bearing |
title_fullStr |
A reduced-order method with PGD for the analysis of misaligned journal bearing |
title_full_unstemmed |
A reduced-order method with PGD for the analysis of misaligned journal bearing |
title_sort |
reduced-order method with pgd for the analysis of misaligned journal bearing |
publisher |
EDP Sciences |
publishDate |
2021 |
url |
https://doaj.org/article/e105e04940a04d038957d48d460eded8 |
work_keys_str_mv |
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