Modelling of thermoset matrix composite curing process
Само за регистроване кориснике
2014
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Autoclave curing is a common practice to manufacture high temperature thermoset matrix composites in order to improve the mechanical properties of the final product. The cycle design i.e. the definition and optimization of the temperature-time curve is a key issue for a competitive production. In this paper a very fast and effective procedure, based on the coupling of a finite element thermochemical model of the process and an artificial neural network, is proposed to predict the evolution of temperature in predefined control points inside the processing material. The model has been tested against the imposed thermal cycle used as an input. The procedure is tested simulating the curing process of a three-dimensional double-curved shape. Obtained outcomes highlighted the remarkable capabilities of the implemented procedure in terms of reliability of temperature predictions and of drastic reduction of the computational time with respect to classic computational models.
Кључне речи:
temperature / finite element model / curing process / composite material / artificial neural networkИзвор:
Material Forming Esaform 2014, 2014, 611-612, 1667-1674Издавач:
- Trans Tech Publications Ltd, Durnten-Zurich
DOI: 10.4028/www.scientific.net/KEM.611-612.1667
ISSN: 1013-9826
WoS: 000347481000205
Scopus: 2-s2.0-84902590250
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Carlone, Pierpaolo AU - Aleksendrić, Dragan AU - Ćirović, Velimir AU - Palazzo, Gaetano S. PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1877 AB - Autoclave curing is a common practice to manufacture high temperature thermoset matrix composites in order to improve the mechanical properties of the final product. The cycle design i.e. the definition and optimization of the temperature-time curve is a key issue for a competitive production. In this paper a very fast and effective procedure, based on the coupling of a finite element thermochemical model of the process and an artificial neural network, is proposed to predict the evolution of temperature in predefined control points inside the processing material. The model has been tested against the imposed thermal cycle used as an input. The procedure is tested simulating the curing process of a three-dimensional double-curved shape. Obtained outcomes highlighted the remarkable capabilities of the implemented procedure in terms of reliability of temperature predictions and of drastic reduction of the computational time with respect to classic computational models. PB - Trans Tech Publications Ltd, Durnten-Zurich C3 - Material Forming Esaform 2014 T1 - Modelling of thermoset matrix composite curing process EP - 1674 SP - 1667 VL - 611-612 DO - 10.4028/www.scientific.net/KEM.611-612.1667 ER -
@conference{ author = "Carlone, Pierpaolo and Aleksendrić, Dragan and Ćirović, Velimir and Palazzo, Gaetano S.", year = "2014", abstract = "Autoclave curing is a common practice to manufacture high temperature thermoset matrix composites in order to improve the mechanical properties of the final product. The cycle design i.e. the definition and optimization of the temperature-time curve is a key issue for a competitive production. In this paper a very fast and effective procedure, based on the coupling of a finite element thermochemical model of the process and an artificial neural network, is proposed to predict the evolution of temperature in predefined control points inside the processing material. The model has been tested against the imposed thermal cycle used as an input. The procedure is tested simulating the curing process of a three-dimensional double-curved shape. Obtained outcomes highlighted the remarkable capabilities of the implemented procedure in terms of reliability of temperature predictions and of drastic reduction of the computational time with respect to classic computational models.", publisher = "Trans Tech Publications Ltd, Durnten-Zurich", journal = "Material Forming Esaform 2014", title = "Modelling of thermoset matrix composite curing process", pages = "1674-1667", volume = "611-612", doi = "10.4028/www.scientific.net/KEM.611-612.1667" }
Carlone, P., Aleksendrić, D., Ćirović, V.,& Palazzo, G. S.. (2014). Modelling of thermoset matrix composite curing process. in Material Forming Esaform 2014 Trans Tech Publications Ltd, Durnten-Zurich., 611-612, 1667-1674. https://doi.org/10.4028/www.scientific.net/KEM.611-612.1667
Carlone P, Aleksendrić D, Ćirović V, Palazzo GS. Modelling of thermoset matrix composite curing process. in Material Forming Esaform 2014. 2014;611-612:1667-1674. doi:10.4028/www.scientific.net/KEM.611-612.1667 .
Carlone, Pierpaolo, Aleksendrić, Dragan, Ćirović, Velimir, Palazzo, Gaetano S., "Modelling of thermoset matrix composite curing process" in Material Forming Esaform 2014, 611-612 (2014):1667-1674, https://doi.org/10.4028/www.scientific.net/KEM.611-612.1667 . .