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Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications. / Gary W Bright

Swansea University Author: Gary W Bright

Abstract

Engineers often make use of component safety factors in order to ensure reliability and robustness of new products. To truly define a suitable safety factor for a given component, an understanding of the variability in the structural performance of the component is required, in addition to the varia...

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Published: 2013
Institution: Swansea University
Degree level: Doctoral
Degree name: EngD
URI: https://cronfa.swan.ac.uk/Record/cronfa42650
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first_indexed 2018-08-02T18:55:13Z
last_indexed 2018-08-03T10:10:43Z
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spelling 2018-08-02T16:24:29.9929983 v2 42650 2018-08-02 Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications. 60dd80b482801f729f722bfcbab36089 NULL Gary W Bright Gary W Bright true true 2018-08-02 Engineers often make use of component safety factors in order to ensure reliability and robustness of new products. To truly define a suitable safety factor for a given component, an understanding of the variability in the structural performance of the component is required, in addition to the variability in conditions of use. A large variation in either of these two factors can give rise to an overlap between the structural capability of a component and the limits of its service conditions. This may result in a situation where the component's structural capability fall below the in-service requirements, which could lead to catastrophic failure. Accurately defining the variability in the mechanical behaviour of High Strength Low Alloy (HSLA) steels used for automotive chassis & suspension applications can help design engineers decide on appropriate safety factors to avoid over-engineering products. By investigating the root-causes of this variability, the steel industry can also benefit from this research, as its findings can assist in reducing the variability of its steel products that arise during production. Variability in steel mechanical behaviour can be due to numerous factors including chemistries, processing temperatures, cooling patterns, and the strip thickness etc. By analysing the variability that exists in the mechanical properties, fatigue behaviour and thickness of strip steel, a prediction of the overall effect of variations within these parameters on manufactured components is possible. Understanding the relationship between material variability and the consistency of component structural capability is paramount for achieving robust and reliable designs. The current research attempts to uncover and present some of these relationships. E-Thesis Materials science. 31 12 2013 2013-12-31 COLLEGE NANME Engineering COLLEGE CODE Swansea University Doctoral EngD 2018-08-02T16:24:29.9929983 2018-08-02T16:24:29.9929983 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Gary W Bright NULL 1 0042650-02082018162511.pdf 10805426.pdf 2018-08-02T16:25:11.1630000 Output 33358384 application/pdf E-Thesis true 2018-08-02T16:25:11.1630000 false
title Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
spellingShingle Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
Gary W Bright
title_short Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
title_full Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
title_fullStr Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
title_full_unstemmed Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
title_sort Minimising variability in steel / weld fatigue data and developing robust durability design for automotive chassis applications.
author_id_str_mv 60dd80b482801f729f722bfcbab36089
author_id_fullname_str_mv 60dd80b482801f729f722bfcbab36089_***_Gary W Bright
author Gary W Bright
author2 Gary W Bright
format E-Thesis
publishDate 2013
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 Engineers often make use of component safety factors in order to ensure reliability and robustness of new products. To truly define a suitable safety factor for a given component, an understanding of the variability in the structural performance of the component is required, in addition to the variability in conditions of use. A large variation in either of these two factors can give rise to an overlap between the structural capability of a component and the limits of its service conditions. This may result in a situation where the component's structural capability fall below the in-service requirements, which could lead to catastrophic failure. Accurately defining the variability in the mechanical behaviour of High Strength Low Alloy (HSLA) steels used for automotive chassis & suspension applications can help design engineers decide on appropriate safety factors to avoid over-engineering products. By investigating the root-causes of this variability, the steel industry can also benefit from this research, as its findings can assist in reducing the variability of its steel products that arise during production. Variability in steel mechanical behaviour can be due to numerous factors including chemistries, processing temperatures, cooling patterns, and the strip thickness etc. By analysing the variability that exists in the mechanical properties, fatigue behaviour and thickness of strip steel, a prediction of the overall effect of variations within these parameters on manufactured components is possible. Understanding the relationship between material variability and the consistency of component structural capability is paramount for achieving robust and reliable designs. The current research attempts to uncover and present some of these relationships.
published_date 2013-12-31T03:53:23Z
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score 11.037166

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