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Multi-objective optimization of manufacturing process in carbon fiber industry using artificial intelligence techniques

Golkarnarenji, Gelayol, Naebe, Minoo, Badii, Khashayar, Milani, Abbas S, Jamali, Ali, Bab-Hadiashar, Alireza, Jazar, Reza N and Khayyam, Hamid 2019, Multi-objective optimization of manufacturing process in carbon fiber industry using artificial intelligence techniques, IEEE access, vol. 7, pp. 67576-67588, doi: 10.1109/ACCESS.2019.2914697.

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Title Multi-objective optimization of manufacturing process in carbon fiber industry using artificial intelligence techniques
Author(s) Golkarnarenji, Gelayol
Naebe, MinooORCID iD for Naebe, Minoo orcid.org/0000-0002-0607-6327
Badii, Khashayar
Milani, Abbas S
Jamali, Ali
Bab-Hadiashar, Alireza
Jazar, Reza N
Khayyam, Hamid
Journal name IEEE access
Volume number 7
Start page 67576
End page 67588
Total pages 13
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 2169-3536
Keyword(s) Predictive models
Manufacturing processes
Multi-objective optimization
Thermal stabilization
Artificial intelligence
Energy efficiency
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Language eng
DOI 10.1109/ACCESS.2019.2914697
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30124101

Document type: Journal Article
Collections: Institute for Frontier Materials
Open Access Collection
GTP Research
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Created: Fri, 28 Jun 2019, 14:36:34 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.