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The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser
Powder Technology, Volume: 291, Pages: 75 - 85
Swansea University Authors: Jennifer Thompson, Oubay Hassan , Johann Sienz
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DOI (Published version): 10.1016/j.powtec.2015.12.001
Abstract
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser
Published in: | Powder Technology |
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2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa26429 |
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2020-05-27T11:59:19.2771412 v2 26429 2016-02-18 The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser 8ad88a26ea4d8ea14dbcf86ac1de862b Jennifer Thompson Jennifer Thompson true false 07479d73eba3773d8904cbfbacc57c5b 0000-0001-7472-3218 Oubay Hassan Oubay Hassan true false 17bf1dd287bff2cb01b53d98ceb28a31 0000-0003-3136-5718 Johann Sienz Johann Sienz true false 2016-02-18 MECH Journal Article Powder Technology 291 75 85 1 4 2016 2016-04-01 10.1016/j.powtec.2015.12.001 Incorrect embargo set on pdf (3/12/16). It was not published in Cronfa by 3/10/16. Reset embargo on 5/10/16. COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2020-05-27T11:59:19.2771412 2016-02-18T16:17:44.6209376 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Jennifer Thompson 1 Oubay Hassan 0000-0001-7472-3218 2 S.A. Rolland 3 Johann Sienz 0000-0003-3136-5718 4 0026429-18022016161920.pdf ThompsonIdentificationOfAnAccurateSimulation2015AAM.pdf 2016-02-18T16:19:20.4200000 Output 328749 application/pdf Accepted Manuscript true 2016-10-03T00:00:00.0000000 true |
title |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser |
spellingShingle |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser Jennifer Thompson Oubay Hassan Johann Sienz |
title_short |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser |
title_full |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser |
title_fullStr |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser |
title_full_unstemmed |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser |
title_sort |
The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser |
author_id_str_mv |
8ad88a26ea4d8ea14dbcf86ac1de862b 07479d73eba3773d8904cbfbacc57c5b 17bf1dd287bff2cb01b53d98ceb28a31 |
author_id_fullname_str_mv |
8ad88a26ea4d8ea14dbcf86ac1de862b_***_Jennifer Thompson 07479d73eba3773d8904cbfbacc57c5b_***_Oubay Hassan 17bf1dd287bff2cb01b53d98ceb28a31_***_Johann Sienz |
author |
Jennifer Thompson Oubay Hassan Johann Sienz |
author2 |
Jennifer Thompson Oubay Hassan S.A. Rolland Johann Sienz |
format |
Journal article |
container_title |
Powder Technology |
container_volume |
291 |
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75 |
publishDate |
2016 |
institution |
Swansea University |
doi_str_mv |
10.1016/j.powtec.2015.12.001 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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published_date |
2016-04-01T03:31:42Z |
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1763751286734323712 |
score |
11.037166 |