No Cover Image

Book chapter 679 views

Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer

Jennifer Thompson, Sean Walton Orcid Logo, Oubay Hassan Orcid Logo, Johann Sienz Orcid Logo

EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization, Pages: 1398 - 1408

Swansea University Authors: Jennifer Thompson, Sean Walton Orcid Logo, Oubay Hassan Orcid Logo, Johann Sienz Orcid Logo

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.1007/978-3-319-97773-7_120

Abstract

The Modified Cuckoo Search was used to customise the design of a pre-mixer for use in a pressure let-down station heater. This is a true industrial test application for this novel optimisation algorithm. A commercial-off-the-shelf (COTS) mixer was used as a bench mark to assess the impact of Modifie...

Full description

Published in: EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization
ISBN: 9783319977720 9783319977737
Published: Cham Springer International Publishing 2018
Online Access: http://dx.doi.org/10.1007/978-3-319-97773-7_120
URI: https://cronfa.swan.ac.uk/Record/cronfa50194
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-05-09T20:01:09Z
last_indexed 2023-03-14T04:03:02Z
id cronfa50194
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-03-13T14:34:16.3721789</datestamp><bib-version>v2</bib-version><id>50194</id><entry>2019-05-02</entry><title>Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer</title><swanseaauthors><author><sid>8ad88a26ea4d8ea14dbcf86ac1de862b</sid><ORCID/><firstname>Jennifer</firstname><surname>Thompson</surname><name>Jennifer Thompson</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0ec10d5e3ed3720a2d578417a894cf49</sid><ORCID>0000-0002-6451-265X</ORCID><firstname>Sean</firstname><surname>Walton</surname><name>Sean Walton</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>07479d73eba3773d8904cbfbacc57c5b</sid><ORCID>0000-0001-7472-3218</ORCID><firstname>Oubay</firstname><surname>Hassan</surname><name>Oubay Hassan</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>17bf1dd287bff2cb01b53d98ceb28a31</sid><ORCID>0000-0003-3136-5718</ORCID><firstname>Johann</firstname><surname>Sienz</surname><name>Johann Sienz</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-05-02</date><deptcode>MECH</deptcode><abstract>The Modified Cuckoo Search was used to customise the design of a pre-mixer for use in a pressure let-down station heater. This is a true industrial test application for this novel optimisation algorithm. A commercial-off-the-shelf (COTS) mixer was used as a bench mark to assess the impact of Modified Cuckoo Search. In addition to customisation of the pre-mixer&#x2019;s design using Modified Cuckoo Search, the commercial Ansys Design Exploration v16.0 software was applied to the problem. This package utilises the Non-Dominated Sorted Genetic Algorithm-II (NSGA-II). The results of our study showed that by using these optimisation algorithms at least a 30% improvement in the performance as compared to the COTS design could be achieved. Further to this, it was found that the free and open source Modified Cuckoo Search performed comparatively to the commercial package Ansys. This will be significant for small to medium sized enterprises who are often limited by budget constraints to using off the shelf devices.</abstract><type>Book chapter</type><journal>EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization</journal><volume/><journalNumber/><paginationStart>1398</paginationStart><paginationEnd>1408</paginationEnd><publisher>Springer International Publishing</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783319977720</isbnPrint><isbnElectronic>9783319977737</isbnElectronic><issnPrint/><issnElectronic/><keywords>Pre-mixer, Fluent, Cuckoo-search, Customisation, Industrial</keywords><publishedDay>14</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-09-14</publishedDate><doi>10.1007/978-3-319-97773-7_120</doi><url>http://dx.doi.org/10.1007/978-3-319-97773-7_120</url><notes/><college>COLLEGE NANME</college><department>Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MECH</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-03-13T14:34:16.3721789</lastEdited><Created>2019-05-02T08:20:57.9617288</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Jennifer</firstname><surname>Thompson</surname><orcid/><order>1</order></author><author><firstname>Sean</firstname><surname>Walton</surname><orcid>0000-0002-6451-265X</orcid><order>2</order></author><author><firstname>Oubay</firstname><surname>Hassan</surname><orcid>0000-0001-7472-3218</orcid><order>3</order></author><author><firstname>Johann</firstname><surname>Sienz</surname><orcid>0000-0003-3136-5718</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2023-03-13T14:34:16.3721789 v2 50194 2019-05-02 Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer 8ad88a26ea4d8ea14dbcf86ac1de862b Jennifer Thompson Jennifer Thompson true false 0ec10d5e3ed3720a2d578417a894cf49 0000-0002-6451-265X Sean Walton Sean Walton true false 07479d73eba3773d8904cbfbacc57c5b 0000-0001-7472-3218 Oubay Hassan Oubay Hassan true false 17bf1dd287bff2cb01b53d98ceb28a31 0000-0003-3136-5718 Johann Sienz Johann Sienz true false 2019-05-02 MECH The Modified Cuckoo Search was used to customise the design of a pre-mixer for use in a pressure let-down station heater. This is a true industrial test application for this novel optimisation algorithm. A commercial-off-the-shelf (COTS) mixer was used as a bench mark to assess the impact of Modified Cuckoo Search. In addition to customisation of the pre-mixer’s design using Modified Cuckoo Search, the commercial Ansys Design Exploration v16.0 software was applied to the problem. This package utilises the Non-Dominated Sorted Genetic Algorithm-II (NSGA-II). The results of our study showed that by using these optimisation algorithms at least a 30% improvement in the performance as compared to the COTS design could be achieved. Further to this, it was found that the free and open source Modified Cuckoo Search performed comparatively to the commercial package Ansys. This will be significant for small to medium sized enterprises who are often limited by budget constraints to using off the shelf devices. Book chapter EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization 1398 1408 Springer International Publishing Cham 9783319977720 9783319977737 Pre-mixer, Fluent, Cuckoo-search, Customisation, Industrial 14 9 2018 2018-09-14 10.1007/978-3-319-97773-7_120 http://dx.doi.org/10.1007/978-3-319-97773-7_120 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2023-03-13T14:34:16.3721789 2019-05-02T08:20:57.9617288 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Jennifer Thompson 1 Sean Walton 0000-0002-6451-265X 2 Oubay Hassan 0000-0001-7472-3218 3 Johann Sienz 0000-0003-3136-5718 4
title Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
spellingShingle Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
Jennifer Thompson
Sean Walton
Oubay Hassan
Johann Sienz
title_short Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
title_full Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
title_fullStr Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
title_full_unstemmed Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
title_sort Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer
author_id_str_mv 8ad88a26ea4d8ea14dbcf86ac1de862b
0ec10d5e3ed3720a2d578417a894cf49
07479d73eba3773d8904cbfbacc57c5b
17bf1dd287bff2cb01b53d98ceb28a31
author_id_fullname_str_mv 8ad88a26ea4d8ea14dbcf86ac1de862b_***_Jennifer Thompson
0ec10d5e3ed3720a2d578417a894cf49_***_Sean Walton
07479d73eba3773d8904cbfbacc57c5b_***_Oubay Hassan
17bf1dd287bff2cb01b53d98ceb28a31_***_Johann Sienz
author Jennifer Thompson
Sean Walton
Oubay Hassan
Johann Sienz
author2 Jennifer Thompson
Sean Walton
Oubay Hassan
Johann Sienz
format Book chapter
container_title EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization
container_start_page 1398
publishDate 2018
institution Swansea University
isbn 9783319977720
9783319977737
doi_str_mv 10.1007/978-3-319-97773-7_120
publisher Springer International Publishing
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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1007/978-3-319-97773-7_120
document_store_str 0
active_str 0
description The Modified Cuckoo Search was used to customise the design of a pre-mixer for use in a pressure let-down station heater. This is a true industrial test application for this novel optimisation algorithm. A commercial-off-the-shelf (COTS) mixer was used as a bench mark to assess the impact of Modified Cuckoo Search. In addition to customisation of the pre-mixer’s design using Modified Cuckoo Search, the commercial Ansys Design Exploration v16.0 software was applied to the problem. This package utilises the Non-Dominated Sorted Genetic Algorithm-II (NSGA-II). The results of our study showed that by using these optimisation algorithms at least a 30% improvement in the performance as compared to the COTS design could be achieved. Further to this, it was found that the free and open source Modified Cuckoo Search performed comparatively to the commercial package Ansys. This will be significant for small to medium sized enterprises who are often limited by budget constraints to using off the shelf devices.
published_date 2018-09-14T04:01:33Z
_version_ 1763753164127862784
score 10.999547

Similar Items