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Reliable durability assessment of welded yellow goods equipment. / Dean Flynn

Swansea University Author: Dean Flynn

Abstract

Weld fatigue performance is a main design consideration with Yellow Goods vehicles and can determine the overall product durability. Accurate fatigue life prediction is critical but current durability assessment involves extensive testing. This design process lacks efficiency and presents scope for...

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Published: 2010
Institution: Swansea University
Degree level: Doctoral
Degree name: EngD
URI: https://cronfa.swan.ac.uk/Record/cronfa42562
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spelling 2018-08-02T16:24:29.6809968 v2 42562 2018-08-02 Reliable durability assessment of welded yellow goods equipment. e40d8b1a864bb4f51c8337c10169cd16 NULL Dean Flynn Dean Flynn true true 2018-08-02 Weld fatigue performance is a main design consideration with Yellow Goods vehicles and can determine the overall product durability. Accurate fatigue life prediction is critical but current durability assessment involves extensive testing. This design process lacks efficiency and presents scope for a finite element (FE) based weld fatigue assessment method. Used early in the design stage, this method will improve time-to-market of products and achieve robust 'right-first-time' designs. Research work has been carried out into applying the 'Master S-N Curve' approach to thick-plate construction and agricultural equipment. Weld fatigue data was generated on a range of simple welded coupons and converted for the fatigue life prediction of welded structures using the structural stress damage parameter. Overall, a single Master S-N curve was achievable for a range of different weld joint configurations. The method achieved good condensation of the geometry dependent load-life fatigue curves into a single structural stress against life curve. The structural stress method was further extended to fatigue lives of weld throat failures with good condensation of the data. Excellent correlations were achieved between solid and shell element models. The concept proved to be effective and largely insensitive to FE mesh type and size. However, limitations were found with shell element models when predicting weld throat failures. The structural stress measurement technique was employed and a master curve generated, derived from coupon strain-gauge recordings. The Master S-N curve approach was applied in the fatigue assessment of a laboratory test component and production component for the construction industry with limited success. Predictions were compared with recorded values from component fatigue tests. More accurate predictions and improved correlations were found when using separate failure mode master curves. Overall the work showed some potential for the use of the Master S-N Curve approach in the early design stage of construction and agricultural welded structures. E-Thesis Mechanical engineering. 31 12 2010 2010-12-31 COLLEGE NANME Engineering COLLEGE CODE Swansea University Doctoral EngD 2018-08-02T16:24:29.6809968 2018-08-02T16:24:29.6809968 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Dean Flynn NULL 1 0042562-02082018162504.pdf 10805311.pdf 2018-08-02T16:25:04.2670000 Output 63673969 application/pdf E-Thesis true 2018-08-02T16:25:04.2670000 false
title Reliable durability assessment of welded yellow goods equipment.
spellingShingle Reliable durability assessment of welded yellow goods equipment.
Dean Flynn
title_short Reliable durability assessment of welded yellow goods equipment.
title_full Reliable durability assessment of welded yellow goods equipment.
title_fullStr Reliable durability assessment of welded yellow goods equipment.
title_full_unstemmed Reliable durability assessment of welded yellow goods equipment.
title_sort Reliable durability assessment of welded yellow goods equipment.
author_id_str_mv e40d8b1a864bb4f51c8337c10169cd16
author_id_fullname_str_mv e40d8b1a864bb4f51c8337c10169cd16_***_Dean Flynn
author Dean Flynn
author2 Dean Flynn
format E-Thesis
publishDate 2010
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Weld fatigue performance is a main design consideration with Yellow Goods vehicles and can determine the overall product durability. Accurate fatigue life prediction is critical but current durability assessment involves extensive testing. This design process lacks efficiency and presents scope for a finite element (FE) based weld fatigue assessment method. Used early in the design stage, this method will improve time-to-market of products and achieve robust 'right-first-time' designs. Research work has been carried out into applying the 'Master S-N Curve' approach to thick-plate construction and agricultural equipment. Weld fatigue data was generated on a range of simple welded coupons and converted for the fatigue life prediction of welded structures using the structural stress damage parameter. Overall, a single Master S-N curve was achievable for a range of different weld joint configurations. The method achieved good condensation of the geometry dependent load-life fatigue curves into a single structural stress against life curve. The structural stress method was further extended to fatigue lives of weld throat failures with good condensation of the data. Excellent correlations were achieved between solid and shell element models. The concept proved to be effective and largely insensitive to FE mesh type and size. However, limitations were found with shell element models when predicting weld throat failures. The structural stress measurement technique was employed and a master curve generated, derived from coupon strain-gauge recordings. The Master S-N curve approach was applied in the fatigue assessment of a laboratory test component and production component for the construction industry with limited success. Predictions were compared with recorded values from component fatigue tests. More accurate predictions and improved correlations were found when using separate failure mode master curves. Overall the work showed some potential for the use of the Master S-N Curve approach in the early design stage of construction and agricultural welded structures.
published_date 2010-12-31T03:53:12Z
_version_ 1763752639520047104
score 11.013731

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