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Conference Paper/Proceeding/Abstract 646 views 91 downloads

Experimental characterisation and constitutive modelling of transparent polyurrethane

Zisheng Liao, Mokarram Hossain Orcid Logo

UKACM Annual Conference 2019, Volume: 28, Issue: 1

Swansea University Author: Mokarram Hossain Orcid Logo

Abstract

Transparent polyurethane has been widely applied in laminated windshield glasses as the interlayer material to enhance the reliability due to its outstanding impact resistance. Under impact loading such as bird strike, the interlayer undergoes large tensile deformation at wide range of strain rates....

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Published in: UKACM Annual Conference 2019
Published: City University, London UKACM 2019 2019
Online Access: http://ukacm.org/wp-content/uploads/proceedings/2019_Proceedings_UKACM.pdf
URI: https://cronfa.swan.ac.uk/Record/cronfa52126
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first_indexed 2019-09-27T14:16:57Z
last_indexed 2019-10-09T20:20:51Z
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spelling 2019-10-09T15:32:14.5773505 v2 52126 2019-09-27 Experimental characterisation and constitutive modelling of transparent polyurrethane 140f4aa5c5ec18ec173c8542a7fddafd 0000-0002-4616-1104 Mokarram Hossain Mokarram Hossain true false 2019-09-27 GENG Transparent polyurethane has been widely applied in laminated windshield glasses as the interlayer material to enhance the reliability due to its outstanding impact resistance. Under impact loading such as bird strike, the interlayer undergoes large tensile deformation at wide range of strain rates. In addition, the interlayer is on service over a wide range of temperatures for a plane traveling around the world. The mechanical behavior of transparent polyurethane under these conditions is not fully understood. In this study, systematical experiments were performed on transparent polyurethane. The viscoelasticity of the material was firstly verified by several quasi-static cyclic tests. Then a series of large tensile deformation and tensile failure experiments were conducted under various strain rates using a servo- hydraulic high-speed tensile machine. All strain data were acquired by the Digital Image Correlation (DIC) technique. The experimental results show that tensile stress-strain curves and failure behaviour are significantly temperature and strain rate dependent. Finally, a phenomenological-based finite strain viscoelastic model is developed. After parameter identifications, one-dimensional equations are fitted to experimental data that yield good predictions. Conference Paper/Proceeding/Abstract UKACM Annual Conference 2019 28 1 UKACM 2019 City University, London 1 4 2019 2019-04-01 http://ukacm.org/wp-content/uploads/proceedings/2019_Proceedings_UKACM.pdf COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University 2019-10-09T15:32:14.5773505 2019-09-27T12:44:25.6066743 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering Zisheng Liao 1 Mokarram Hossain 0000-0002-4616-1104 2 0052126-09102019153048.pdf liao2019(3).pdf 2019-10-09T15:30:48.0230000 Output 1163173 application/pdf Version of Record true 2019-10-09T00:00:00.0000000 false eng
title Experimental characterisation and constitutive modelling of transparent polyurrethane
spellingShingle Experimental characterisation and constitutive modelling of transparent polyurrethane
Mokarram Hossain
title_short Experimental characterisation and constitutive modelling of transparent polyurrethane
title_full Experimental characterisation and constitutive modelling of transparent polyurrethane
title_fullStr Experimental characterisation and constitutive modelling of transparent polyurrethane
title_full_unstemmed Experimental characterisation and constitutive modelling of transparent polyurrethane
title_sort Experimental characterisation and constitutive modelling of transparent polyurrethane
author_id_str_mv 140f4aa5c5ec18ec173c8542a7fddafd
author_id_fullname_str_mv 140f4aa5c5ec18ec173c8542a7fddafd_***_Mokarram Hossain
author Mokarram Hossain
author2 Zisheng Liao
Mokarram Hossain
format Conference Paper/Proceeding/Abstract
container_title UKACM Annual Conference 2019
container_volume 28
container_issue 1
publishDate 2019
institution Swansea University
publisher UKACM 2019
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 - General Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering
url http://ukacm.org/wp-content/uploads/proceedings/2019_Proceedings_UKACM.pdf
document_store_str 1
active_str 0
description Transparent polyurethane has been widely applied in laminated windshield glasses as the interlayer material to enhance the reliability due to its outstanding impact resistance. Under impact loading such as bird strike, the interlayer undergoes large tensile deformation at wide range of strain rates. In addition, the interlayer is on service over a wide range of temperatures for a plane traveling around the world. The mechanical behavior of transparent polyurethane under these conditions is not fully understood. In this study, systematical experiments were performed on transparent polyurethane. The viscoelasticity of the material was firstly verified by several quasi-static cyclic tests. Then a series of large tensile deformation and tensile failure experiments were conducted under various strain rates using a servo- hydraulic high-speed tensile machine. All strain data were acquired by the Digital Image Correlation (DIC) technique. The experimental results show that tensile stress-strain curves and failure behaviour are significantly temperature and strain rate dependent. Finally, a phenomenological-based finite strain viscoelastic model is developed. After parameter identifications, one-dimensional equations are fitted to experimental data that yield good predictions.
published_date 2019-04-01T04:04:20Z
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score 11.016235

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