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Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials

F Belblidia, T.N Croft, S.J Hardy, V Shakespeare, R Chambers, Fawzi Belblidia Orcid Logo, Nick Croft Orcid Logo

Materials & Design

Swansea University Authors: Fawzi Belblidia Orcid Logo, Nick Croft Orcid Logo

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DOI (Published version): 10.1016/j.matdes.2013.05.041

Abstract

The present paper focuses on the methodology to simulate an aerosol can when subject to internal pressure and top compressive loadings. Non-linear numerical analysis seeks to predict the level of pop-up and burst pressure levels as the can is subjected to increased pressure loading, along with the d...

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Published in: Materials & Design
ISSN: 0261-3069
Published: 2013
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URI: https://cronfa.swan.ac.uk/Record/cronfa15028
first_indexed 2013-07-23T12:13:42Z
last_indexed 2018-02-09T04:46:43Z
id cronfa15028
recordtype SURis
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spelling 2013-06-10T09:05:54.6936321 v2 15028 2013-06-10 Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials 7e0feb96ca2d685180b495e8983f3940 0000-0002-8170-0468 Fawzi Belblidia Fawzi Belblidia true false 8f82cd0b51f4b95b0dd6fa89427d9fc7 0000-0002-1521-5261 Nick Croft Nick Croft true false 2013-06-10 ACEM The present paper focuses on the methodology to simulate an aerosol can when subject to internal pressure and top compressive loadings. Non-linear numerical analysis seeks to predict the level of pop-up and burst pressure levels as the can is subjected to increased pressure loading, along with the determination to top load force causing can wall buckling. These predictions are necessary to access the conformity of the can design to the European Packaging Standard. Numerical findings are assessed against experimental trials for reliability of such a simulation based approach for can design. The challenge of the present study is the use of in situ data to mimic the can predictive behaviour within the Ansys Software suite. This data includes the can material, which is non-linear strain hardening aluminium allowing for yielding at high strain, can wall variable thickness and loading characteristics. The paper highlights some of the modelling issues associated with such analyses and provides some guidance to improve the aerosol can design. The methodology will be used, in a following study, in reducing the can weight by optimal distribution of the can wall thickness whilst revealing an innovative design that fulfils the qualification needs. This will have a direct impact on the material cost, in addition to cost of transport and energy. Journal Article Materials & Design 0261-3069 31 12 2013 2013-12-31 10.1016/j.matdes.2013.05.041 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2013-06-10T09:05:54.6936321 2013-06-10T09:00:54.3749631 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering F Belblidia 1 T.N Croft 2 S.J Hardy 3 V Shakespeare 4 R Chambers 5 Fawzi Belblidia 0000-0002-8170-0468 6 Nick Croft 0000-0002-1521-5261 7
title Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
spellingShingle Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
Fawzi Belblidia
Nick Croft
title_short Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
title_full Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
title_fullStr Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
title_full_unstemmed Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
title_sort Simulation based aerosol can design under pressure and buckling loads and comparison with experimental trials
author_id_str_mv 7e0feb96ca2d685180b495e8983f3940
8f82cd0b51f4b95b0dd6fa89427d9fc7
author_id_fullname_str_mv 7e0feb96ca2d685180b495e8983f3940_***_Fawzi Belblidia
8f82cd0b51f4b95b0dd6fa89427d9fc7_***_Nick Croft
author Fawzi Belblidia
Nick Croft
author2 F Belblidia
T.N Croft
S.J Hardy
V Shakespeare
R Chambers
Fawzi Belblidia
Nick Croft
format Journal article
container_title Materials & Design
publishDate 2013
institution Swansea University
issn 0261-3069
doi_str_mv 10.1016/j.matdes.2013.05.041
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 Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 0
active_str 0
description The present paper focuses on the methodology to simulate an aerosol can when subject to internal pressure and top compressive loadings. Non-linear numerical analysis seeks to predict the level of pop-up and burst pressure levels as the can is subjected to increased pressure loading, along with the determination to top load force causing can wall buckling. These predictions are necessary to access the conformity of the can design to the European Packaging Standard. Numerical findings are assessed against experimental trials for reliability of such a simulation based approach for can design. The challenge of the present study is the use of in situ data to mimic the can predictive behaviour within the Ansys Software suite. This data includes the can material, which is non-linear strain hardening aluminium allowing for yielding at high strain, can wall variable thickness and loading characteristics. The paper highlights some of the modelling issues associated with such analyses and provides some guidance to improve the aerosol can design. The methodology will be used, in a following study, in reducing the can weight by optimal distribution of the can wall thickness whilst revealing an innovative design that fulfils the qualification needs. This will have a direct impact on the material cost, in addition to cost of transport and energy.
published_date 2013-12-31T04:57:47Z
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score 11.059359

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