Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control
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2016
Authors
Rubino, FeliceCarlone, Pierpaolo
Aleksendrić, Dragan
Ćirović, Velimir
Sorrentino, Luca
Bellini, Costanzo
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The curing process of thermosetting resins plays a key role on the final quality of the composite material components. Soft computing techniques proved to be an efficient method to control and optimize the curing process, replacing the conventional experimental and numerical approaches. In this paper artificial neural network (ANN) and fuzzy logic control (FLC) were implemented together to predict and control the temperature and degree of cure profile during the autoclave curing process. The obtained outcomes proved the capability of ANNs and FLC with respect to the hard computing methods.
Source:
Proceedings of The 19th International Esaform Conference on Material Forming (Esaform 2016), 2016, 1769Publisher:
- Amer Inst Physics, Melville
DOI: 10.1063/1.4963438
ISSN: 0094-243X
WoS: 000392692600034
Scopus: 2-s2.0-84994121536
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Mašinski fakultetTY - CONF AU - Rubino, Felice AU - Carlone, Pierpaolo AU - Aleksendrić, Dragan AU - Ćirović, Velimir AU - Sorrentino, Luca AU - Bellini, Costanzo PY - 2016 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2418 AB - The curing process of thermosetting resins plays a key role on the final quality of the composite material components. Soft computing techniques proved to be an efficient method to control and optimize the curing process, replacing the conventional experimental and numerical approaches. In this paper artificial neural network (ANN) and fuzzy logic control (FLC) were implemented together to predict and control the temperature and degree of cure profile during the autoclave curing process. The obtained outcomes proved the capability of ANNs and FLC with respect to the hard computing methods. PB - Amer Inst Physics, Melville C3 - Proceedings of The 19th International Esaform Conference on Material Forming (Esaform 2016) T1 - Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control VL - 1769 DO - 10.1063/1.4963438 ER -
@conference{ author = "Rubino, Felice and Carlone, Pierpaolo and Aleksendrić, Dragan and Ćirović, Velimir and Sorrentino, Luca and Bellini, Costanzo", year = "2016", abstract = "The curing process of thermosetting resins plays a key role on the final quality of the composite material components. Soft computing techniques proved to be an efficient method to control and optimize the curing process, replacing the conventional experimental and numerical approaches. In this paper artificial neural network (ANN) and fuzzy logic control (FLC) were implemented together to predict and control the temperature and degree of cure profile during the autoclave curing process. The obtained outcomes proved the capability of ANNs and FLC with respect to the hard computing methods.", publisher = "Amer Inst Physics, Melville", journal = "Proceedings of The 19th International Esaform Conference on Material Forming (Esaform 2016)", title = "Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control", volume = "1769", doi = "10.1063/1.4963438" }
Rubino, F., Carlone, P., Aleksendrić, D., Ćirović, V., Sorrentino, L.,& Bellini, C.. (2016). Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control. in Proceedings of The 19th International Esaform Conference on Material Forming (Esaform 2016) Amer Inst Physics, Melville., 1769. https://doi.org/10.1063/1.4963438
Rubino F, Carlone P, Aleksendrić D, Ćirović V, Sorrentino L, Bellini C. Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control. in Proceedings of The 19th International Esaform Conference on Material Forming (Esaform 2016). 2016;1769. doi:10.1063/1.4963438 .
Rubino, Felice, Carlone, Pierpaolo, Aleksendrić, Dragan, Ćirović, Velimir, Sorrentino, Luca, Bellini, Costanzo, "Hard and Soft Computing Models of Composite Curing Process Looking Toward Monitoring and Control" in Proceedings of The 19th International Esaform Conference on Material Forming (Esaform 2016), 1769 (2016), https://doi.org/10.1063/1.4963438 . .