Experimental validation of a quasi-transient coupling approach for the modeling of heat transfer in autoclave processing

材料科学 机身 高压灭菌器 传热 有限元法 计算流体力学 瞬态(计算机编程) 冷却液 联轴节(管道) 机械工程 机械 计算机科学 结构工程 复合材料 工程类 物理 冶金 操作系统
作者
Junhong Zhu,Tim Frerich,Adli Dimassi,Michael Koerdt,Axel S. Herrmann
出处
期刊:Journal of Composite Materials [SAGE Publishing]
卷期号:56 (5): 797-810 被引量:7
标识
DOI:10.1177/00219983211063541
摘要

Structural aerospace composite parts are commonly cured through autoclave processing. To optimize the autoclave process, manufacturing process simulations have been increasingly used to investigate the thermal behavior of the cure assembly. Performing such a simulation, computational fluid dynamics (CFD) coupled with finite element method (FEM) model can be used to deal with the conjugate heat transfer problem between the airflow and solid regions inside the autoclave. A transient CFD simulation requires intensive computing resources. To avoid a long computing time, a quasi-transient coupling approach is adopted to allow a significant acceleration of the simulation process. This approach has been validated for a simple geometry in a previous study. This paper provides an experimental and numerical study on heat transfer in a medium-sized autoclave for a more complicated loading condition and a composite structure, a curved shell with three stringers, that mocks the fuselage structure of an aircraft. Two lumped mass calorimeters are used for the measurement of the heat transfer coefficients (HTCs) during the predefined curing cycle. Owing to some uncertainty in the inlet flow velocity, a correction parameter and calibration method are proposed to reduce the numerical error. The simulation results are compared to the experimental results, which consist of thermal measurements and temperature distributions of the composite shell, to validate the simulation model. This study shows the capability and potential of the quasi-transient coupling approach for the modeling of heat transfer in autoclave processing with reduced computational cost and high correlation between the experimental and numerical results.
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