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Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy
Metals, Volume: 9, Issue: 11, Start page: 1191
Swansea University Authors: Hani Hilal, Robert Lancaster
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DOI (Published version): 10.3390/met9111191
Abstract
Additive manufacturing (AM) is a novel near net shape manufacturing technology that joins metallic powders layer upon layer in conjunction with 3D model data and as such offers tremendous potential to a wide range of industrial sectors given its ability to produce highly intricate components with ve...
Published in: | Metals |
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ISSN: | 2075-4701 |
Published: |
MDPI AG
2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa52638 |
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2019-11-07T19:13:41Z |
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2020-11-03T04:05:06Z |
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2020-11-02T11:56:37.4139409 v2 52638 2019-11-04 Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy 731b628d968955caaca676b72ac796f8 Hani Hilal Hani Hilal true false e1a1b126acd3e4ff734691ec34967f29 0000-0002-1365-6944 Robert Lancaster Robert Lancaster true false 2019-11-04 Additive manufacturing (AM) is a novel near net shape manufacturing technology that joins metallic powders layer upon layer in conjunction with 3D model data and as such offers tremendous potential to a wide range of industrial sectors given its ability to produce highly intricate components with very little material wastage. Subsequently, the aerospace industry has become particularly interested in utilising AM as a means of manufacturing nickel-based superalloys for high-temperature applications, such as non-rotating components within gas turbine engines, which are traditionally fabricated through traditional cast and wrought methodologies. As a result of this, a detailed understanding of the influence of key process variables on the structural integrity of the different experimental builds is required. A semi-empirical quantitative approach for melt track analysis has been conducted and the impact on melt track sizing and defect forming mechanisms in the as-built and heat-treated condition is investigated. Journal Article Metals 9 11 1191 MDPI AG 2075-4701 additive manufacturing; nickel superalloy; process parameters; CM247LC 6 11 2019 2019-11-06 10.3390/met9111191 COLLEGE NANME COLLEGE CODE Swansea University UKRI, EP/H022309/1 2020-11-02T11:56:37.4139409 2019-11-04T11:38:52.2519442 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Hani Hilal 1 Robert Lancaster 0000-0002-1365-6944 2 Dave Stapleton 3 Gavin Baxter 4 52638__15887__6f8d318c342a40a18fbced6841a37c4f.pdf 52638.pdf 2019-11-15T10:33:44.3812340 Output 10121435 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true English http://creativecommons.org/licenses/by/4.0/ |
title |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy |
spellingShingle |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy Hani Hilal Robert Lancaster |
title_short |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy |
title_full |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy |
title_fullStr |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy |
title_full_unstemmed |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy |
title_sort |
Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy |
author_id_str_mv |
731b628d968955caaca676b72ac796f8 e1a1b126acd3e4ff734691ec34967f29 |
author_id_fullname_str_mv |
731b628d968955caaca676b72ac796f8_***_Hani Hilal e1a1b126acd3e4ff734691ec34967f29_***_Robert Lancaster |
author |
Hani Hilal Robert Lancaster |
author2 |
Hani Hilal Robert Lancaster Dave Stapleton Gavin Baxter |
format |
Journal article |
container_title |
Metals |
container_volume |
9 |
container_issue |
11 |
container_start_page |
1191 |
publishDate |
2019 |
institution |
Swansea University |
issn |
2075-4701 |
doi_str_mv |
10.3390/met9111191 |
publisher |
MDPI AG |
college_str |
Faculty of Science and Engineering |
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|
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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 - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering |
document_store_str |
1 |
active_str |
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description |
Additive manufacturing (AM) is a novel near net shape manufacturing technology that joins metallic powders layer upon layer in conjunction with 3D model data and as such offers tremendous potential to a wide range of industrial sectors given its ability to produce highly intricate components with very little material wastage. Subsequently, the aerospace industry has become particularly interested in utilising AM as a means of manufacturing nickel-based superalloys for high-temperature applications, such as non-rotating components within gas turbine engines, which are traditionally fabricated through traditional cast and wrought methodologies. As a result of this, a detailed understanding of the influence of key process variables on the structural integrity of the different experimental builds is required. A semi-empirical quantitative approach for melt track analysis has been conducted and the impact on melt track sizing and defect forming mechanisms in the as-built and heat-treated condition is investigated. |
published_date |
2019-11-06T13:56:50Z |
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1821414062138851328 |
score |
11.247077 |