E-Thesis 416 views 227 downloads
Wear and impact analysis of granular materials using Discrete Element Method simulations / JAMES THOMPSON
Swansea University Author: JAMES THOMPSON
DOI (Published version): 10.23889/SUthesis.63751
Abstract
Wear models for abrasion, ductile erosion, brittle erosion and combined erosion are implemented into a Discrete Element Method program utilising the linear spring dashpot model. A linear damage model is developed, implemented and then applied to an industrial case study through which it is found to...
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Swansea, Wales, UK
2023
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Institution: | Swansea University |
Degree level: | Doctoral |
Degree name: | EngD |
Supervisor: | Brown, Stephen. G. R. |
URI: | https://cronfa.swan.ac.uk/Record/cronfa63751 |
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2023-06-29T10:17:48Z |
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last_indexed |
2024-11-25T14:12:51Z |
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2023-10-23T16:04:26.4690234 v2 63751 2023-06-29 Wear and impact analysis of granular materials using Discrete Element Method simulations 0234654b14d9f98b6fef54c73f7f7336 JAMES THOMPSON JAMES THOMPSON true false 2023-06-29 Wear models for abrasion, ductile erosion, brittle erosion and combined erosion are implemented into a Discrete Element Method program utilising the linear spring dashpot model. A linear damage model is developed, implemented and then applied to an industrial case study through which it is found to predict wear accurately and provide a good insight into the improvement based on material change using the abrasion models. Four methods of creating energy based modelling were created for specific use inside DEM and contrasted with known wear models to assess what mechanisms they may potentially replicate. Through use with DEM, this allows use with a Single Element Failure criteria which can rapidly assess a variety of material changes inside a system to take steps to de-risk potential industrial trials. Design changes were made to assess the effects on both wear/energy models and provide predictions for causes and possible side effects. The effect of particle kinetics were assessed with respect to angle of impact, mass flow rate and coefficient of restitution to determine how this impacts wear modelling in DEM. E-Thesis Swansea, Wales, UK Discrete Element Method, Computational Analysis, Wear, Damage 27 9 2023 2023-09-27 10.23889/SUthesis.63751 COLLEGE NANME COLLEGE CODE Swansea University Brown, Stephen. G. R. Doctoral EngD Materials and Manufacturing Academy (M2A), TATA Steel and Wall Colmonoy Materials and Manufacturing Academy (M2A), TATA Steel and Wall Colmonoy 2023-10-23T16:04:26.4690234 2023-06-29T11:14:29.6409702 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering JAMES THOMPSON 1 63751__28006__8a82556059b349e1a212c113d559d2e3.pdf 2023_Thompson_J.final.63751.pdf 2023-06-29T11:33:51.2078320 Output 4827339 application/pdf E-Thesis – open access true Copyright: The Author, James Thompson, 2023. true eng |
title |
Wear and impact analysis of granular materials using Discrete Element Method simulations |
spellingShingle |
Wear and impact analysis of granular materials using Discrete Element Method simulations JAMES THOMPSON |
title_short |
Wear and impact analysis of granular materials using Discrete Element Method simulations |
title_full |
Wear and impact analysis of granular materials using Discrete Element Method simulations |
title_fullStr |
Wear and impact analysis of granular materials using Discrete Element Method simulations |
title_full_unstemmed |
Wear and impact analysis of granular materials using Discrete Element Method simulations |
title_sort |
Wear and impact analysis of granular materials using Discrete Element Method simulations |
author_id_str_mv |
0234654b14d9f98b6fef54c73f7f7336 |
author_id_fullname_str_mv |
0234654b14d9f98b6fef54c73f7f7336_***_JAMES THOMPSON |
author |
JAMES THOMPSON |
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JAMES THOMPSON |
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E-Thesis |
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2023 |
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Swansea University |
doi_str_mv |
10.23889/SUthesis.63751 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering |
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description |
Wear models for abrasion, ductile erosion, brittle erosion and combined erosion are implemented into a Discrete Element Method program utilising the linear spring dashpot model. A linear damage model is developed, implemented and then applied to an industrial case study through which it is found to predict wear accurately and provide a good insight into the improvement based on material change using the abrasion models. Four methods of creating energy based modelling were created for specific use inside DEM and contrasted with known wear models to assess what mechanisms they may potentially replicate. Through use with DEM, this allows use with a Single Element Failure criteria which can rapidly assess a variety of material changes inside a system to take steps to de-risk potential industrial trials. Design changes were made to assess the effects on both wear/energy models and provide predictions for causes and possible side effects. The effect of particle kinetics were assessed with respect to angle of impact, mass flow rate and coefficient of restitution to determine how this impacts wear modelling in DEM. |
published_date |
2023-09-27T08:22:41Z |
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1821393038660861952 |
score |
11.111051 |