A numerical approach for transient computational fluid dynamics analyses of the autoclave curing process is presented, aimed at finding a trade-off between accuracy and computational cost that can make it industry-affordable. A steady-state, conjugated heat transfer analysis is carried out for the simultaneous simulation of solid and fluid regions to obtain a spatial distribution of the heat-transfer coefficient. This distribution and the curing temperature diagram are then used as boundary conditions for a transient heat-transfer simulation of the solid parts only. Results are compared to both experiments and coupled fluid–solid, steady-state conjugated heat-transfer simulations proving that the proposed methodology is accurate and less computationally expensive than a fully coupled, fluid–solid simulation.

Assessment of a Computationally Efficient Method for Industrial Simulations of Transient Heat Transfer during Autoclave Curing / Catalani I.; Balduzzi F.; Mariani S.; Ferrara G.; Bianchini A.. - In: INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING. - ISSN 0308-0161. - ELETTRONICO. - 144:(2022), pp. 024504.0-024504.0. [10.1115/1.4052119]

Assessment of a Computationally Efficient Method for Industrial Simulations of Transient Heat Transfer during Autoclave Curing

Catalani I.;Balduzzi F.;Ferrara G.;Bianchini A.
2022

Abstract

A numerical approach for transient computational fluid dynamics analyses of the autoclave curing process is presented, aimed at finding a trade-off between accuracy and computational cost that can make it industry-affordable. A steady-state, conjugated heat transfer analysis is carried out for the simultaneous simulation of solid and fluid regions to obtain a spatial distribution of the heat-transfer coefficient. This distribution and the curing temperature diagram are then used as boundary conditions for a transient heat-transfer simulation of the solid parts only. Results are compared to both experiments and coupled fluid–solid, steady-state conjugated heat-transfer simulations proving that the proposed methodology is accurate and less computationally expensive than a fully coupled, fluid–solid simulation.
2022
144
0
0
Goal 9: Industry, Innovation, and Infrastructure
Catalani I.; Balduzzi F.; Mariani S.; Ferrara G.; Bianchini A.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1306288
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