Journal article 1035 views 668 downloads
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems
Optics & Laser Technology, Volume: 134, Start page: 106609
Swansea University Author: Robert Lancaster
-
PDF | Accepted Manuscript
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Download (981.64KB)
DOI (Published version): 10.1016/j.optlastec.2020.106609
Abstract
The measurement of melt pool width has proven to be critical in the development of advanced control systems, defect detection algorithms and understanding the influence of parameter changes on build quality in additive manufacturing processes. Parametric studies are performed on new materials and bu...
Published in: | Optics & Laser Technology |
---|---|
ISSN: | 0030-3992 |
Published: |
Elsevier BV
2021
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa55172 |
first_indexed |
2020-09-14T09:29:19Z |
---|---|
last_indexed |
2020-10-10T03:09:49Z |
id |
cronfa55172 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2020-10-08T12:15:40.2728484</datestamp><bib-version>v2</bib-version><id>55172</id><entry>2020-09-14</entry><title>The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems</title><swanseaauthors><author><sid>e1a1b126acd3e4ff734691ec34967f29</sid><ORCID>0000-0002-1365-6944</ORCID><firstname>Robert</firstname><surname>Lancaster</surname><name>Robert Lancaster</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2020-09-14</date><deptcode>EAAS</deptcode><abstract>The measurement of melt pool width has proven to be critical in the development of advanced control systems, defect detection algorithms and understanding the influence of parameter changes on build quality in additive manufacturing processes. Parametric studies are performed on new materials and builds to help identify optimal parameter settings for final components. Many parametric iterations are often required to produce optimal components, which requires in-depth process/material knowledge from highly skilled engineers. Having fundamental knowledge of parametric interaction and melt pool mechanics is key in developing state of the art additive manufacturing components. This paper addresses the need for complex parametric interaction understanding in additive manufacturing processes by providing a detailed parametric study using directional emittance melt pool edge detection techniques.</abstract><type>Journal Article</type><journal>Optics & Laser Technology</journal><volume>134</volume><paginationStart>106609</paginationStart><publisher>Elsevier BV</publisher><issnPrint>0030-3992</issnPrint><keywords>Melt pool, Melt pool monitoring, Additive manufacturing, Direct energy deposition, Process parameters</keywords><publishedDay>1</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-02-01</publishedDate><doi>10.1016/j.optlastec.2020.106609</doi><url/><notes/><college>COLLEGE NANME</college><department>Engineering and Applied Sciences School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EAAS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-10-08T12:15:40.2728484</lastEdited><Created>2020-09-14T10:27:10.9850954</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Materials Science and Engineering</level></path><authors><author><firstname>Robert</firstname><surname>Sampson</surname><order>1</order></author><author><firstname>Robert</firstname><surname>Lancaster</surname><orcid>0000-0002-1365-6944</orcid><order>2</order></author><author><firstname>Mark</firstname><surname>Sutcliffe</surname><order>3</order></author><author><firstname>David</firstname><surname>Carswell</surname><order>4</order></author><author><firstname>Carl</firstname><surname>Hauser</surname><order>5</order></author><author><firstname>Josh</firstname><surname>Barras</surname><order>6</order></author></authors><documents><document><filename>55172__18153__f0c5339fda7f4ec8af97ec11ed1144fd.pdf</filename><originalFilename>55172.pdf</originalFilename><uploaded>2020-09-14T10:29:11.9080062</uploaded><type>Output</type><contentLength>1005200</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2021-09-22T00:00:00.0000000</embargoDate><documentNotes>© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/</documentNotes><copyrightCorrect>true</copyrightCorrect><language>English</language></document></documents><OutputDurs/></rfc1807> |
spelling |
2020-10-08T12:15:40.2728484 v2 55172 2020-09-14 The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems e1a1b126acd3e4ff734691ec34967f29 0000-0002-1365-6944 Robert Lancaster Robert Lancaster true false 2020-09-14 EAAS The measurement of melt pool width has proven to be critical in the development of advanced control systems, defect detection algorithms and understanding the influence of parameter changes on build quality in additive manufacturing processes. Parametric studies are performed on new materials and builds to help identify optimal parameter settings for final components. Many parametric iterations are often required to produce optimal components, which requires in-depth process/material knowledge from highly skilled engineers. Having fundamental knowledge of parametric interaction and melt pool mechanics is key in developing state of the art additive manufacturing components. This paper addresses the need for complex parametric interaction understanding in additive manufacturing processes by providing a detailed parametric study using directional emittance melt pool edge detection techniques. Journal Article Optics & Laser Technology 134 106609 Elsevier BV 0030-3992 Melt pool, Melt pool monitoring, Additive manufacturing, Direct energy deposition, Process parameters 1 2 2021 2021-02-01 10.1016/j.optlastec.2020.106609 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University 2020-10-08T12:15:40.2728484 2020-09-14T10:27:10.9850954 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Robert Sampson 1 Robert Lancaster 0000-0002-1365-6944 2 Mark Sutcliffe 3 David Carswell 4 Carl Hauser 5 Josh Barras 6 55172__18153__f0c5339fda7f4ec8af97ec11ed1144fd.pdf 55172.pdf 2020-09-14T10:29:11.9080062 Output 1005200 application/pdf Accepted Manuscript true 2021-09-22T00:00:00.0000000 © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ true English |
title |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems |
spellingShingle |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems Robert Lancaster |
title_short |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems |
title_full |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems |
title_fullStr |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems |
title_full_unstemmed |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems |
title_sort |
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems |
author_id_str_mv |
e1a1b126acd3e4ff734691ec34967f29 |
author_id_fullname_str_mv |
e1a1b126acd3e4ff734691ec34967f29_***_Robert Lancaster |
author |
Robert Lancaster |
author2 |
Robert Sampson Robert Lancaster Mark Sutcliffe David Carswell Carl Hauser Josh Barras |
format |
Journal article |
container_title |
Optics & Laser Technology |
container_volume |
134 |
container_start_page |
106609 |
publishDate |
2021 |
institution |
Swansea University |
issn |
0030-3992 |
doi_str_mv |
10.1016/j.optlastec.2020.106609 |
publisher |
Elsevier BV |
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 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 |
0 |
description |
The measurement of melt pool width has proven to be critical in the development of advanced control systems, defect detection algorithms and understanding the influence of parameter changes on build quality in additive manufacturing processes. Parametric studies are performed on new materials and builds to help identify optimal parameter settings for final components. Many parametric iterations are often required to produce optimal components, which requires in-depth process/material knowledge from highly skilled engineers. Having fundamental knowledge of parametric interaction and melt pool mechanics is key in developing state of the art additive manufacturing components. This paper addresses the need for complex parametric interaction understanding in additive manufacturing processes by providing a detailed parametric study using directional emittance melt pool edge detection techniques. |
published_date |
2021-02-01T20:08:07Z |
_version_ |
1821437421067173888 |
score |
11.047609 |