Meta-modeling of the curing process of thermoset matrix composites by means of a FEM-ANN approach
Само за регистроване кориснике
2014
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Thermal curing is a common practice to manufacture high temperature thermosetting 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 framework, a suitable model describing the composite temperature and degree of cure variations versus the imposed thermal cycle is highly desirable. An effective procedure, based on the coupling of a finite element thermochemical model of the process and an artificial neural network, is herein proposed and tested. Obtained outcomes highlight the remarkable capabilities of the implemented procedure in terms of reliability of temperature and degree of cure predictions.
Кључне речи:
Polymer matrix composites (PMCs) / Cure / Cure behavior / Computational modelingИзвор:
Composites Part B-Engineering, 2014, 67, 441-448Издавач:
- Elsevier Sci Ltd, Oxford
DOI: 10.1016/j.compositesb.2014.08.022
ISSN: 1359-8368
WoS: 000343337400049
Scopus: 2-s2.0-84907379452
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Carlone, Pierpaolo AU - Aleksendrić, Dragan AU - Ćirović, Velimir AU - Palazzo, Gaetano S. PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1915 AB - Thermal curing is a common practice to manufacture high temperature thermosetting 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 framework, a suitable model describing the composite temperature and degree of cure variations versus the imposed thermal cycle is highly desirable. An effective procedure, based on the coupling of a finite element thermochemical model of the process and an artificial neural network, is herein proposed and tested. Obtained outcomes highlight the remarkable capabilities of the implemented procedure in terms of reliability of temperature and degree of cure predictions. PB - Elsevier Sci Ltd, Oxford T2 - Composites Part B-Engineering T1 - Meta-modeling of the curing process of thermoset matrix composites by means of a FEM-ANN approach EP - 448 SP - 441 VL - 67 DO - 10.1016/j.compositesb.2014.08.022 ER -
@article{ author = "Carlone, Pierpaolo and Aleksendrić, Dragan and Ćirović, Velimir and Palazzo, Gaetano S.", year = "2014", abstract = "Thermal curing is a common practice to manufacture high temperature thermosetting 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 framework, a suitable model describing the composite temperature and degree of cure variations versus the imposed thermal cycle is highly desirable. An effective procedure, based on the coupling of a finite element thermochemical model of the process and an artificial neural network, is herein proposed and tested. Obtained outcomes highlight the remarkable capabilities of the implemented procedure in terms of reliability of temperature and degree of cure predictions.", publisher = "Elsevier Sci Ltd, Oxford", journal = "Composites Part B-Engineering", title = "Meta-modeling of the curing process of thermoset matrix composites by means of a FEM-ANN approach", pages = "448-441", volume = "67", doi = "10.1016/j.compositesb.2014.08.022" }
Carlone, P., Aleksendrić, D., Ćirović, V.,& Palazzo, G. S.. (2014). Meta-modeling of the curing process of thermoset matrix composites by means of a FEM-ANN approach. in Composites Part B-Engineering Elsevier Sci Ltd, Oxford., 67, 441-448. https://doi.org/10.1016/j.compositesb.2014.08.022
Carlone P, Aleksendrić D, Ćirović V, Palazzo GS. Meta-modeling of the curing process of thermoset matrix composites by means of a FEM-ANN approach. in Composites Part B-Engineering. 2014;67:441-448. doi:10.1016/j.compositesb.2014.08.022 .
Carlone, Pierpaolo, Aleksendrić, Dragan, Ćirović, Velimir, Palazzo, Gaetano S., "Meta-modeling of the curing process of thermoset matrix composites by means of a FEM-ANN approach" in Composites Part B-Engineering, 67 (2014):441-448, https://doi.org/10.1016/j.compositesb.2014.08.022 . .