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Bhattacharjee, Arghyanil

University of British Columbia

The development of thermal management and physics-based process simulation of composites has become well-established in recent years. However, the determination of the boundary conditions in the form of heat-transfer coefficients (HTCs) at the air-part and air-tool interfaces during convective heat transfer-based curing processes (like autoclaves, ovens) remain a challenge and a major source of uncertainties. Typically, physics-based approaches like simplified 1D through-thickness models or computationally intensive 3D simulation tools such as Computational Fluid Dynamics are used to estimate the HTCs. However, these deterministic methods are not equipped to capture the effect of uncertainties involved in estimating HTC values and their effects on the corresponding thermal histories of curing parts in process simulations models. The applicability of statistical inference-based models to calculate HTC distributions and associated uncertainties have been previously explored using synthetic datasets generated from finite element simulations. In this study, this validated model has been utilized on available experimental datasets to determine the most probable HTC distributions with an estimate of associated uncertainties. The HTC distributions were thereafter used in process simulation models to understand the effect of uncertainty propagation on tool-part thermal response for optimizing thermocouple placement strategy. This study also explores the development and use of virtual thermocouples, which can be used to better monitor thermal histories of complete parts during manufacturing without requiring the need for intensive instrumentation of the physical part. This work provides insight to the development of a workflow for capturing procedures of uncertainty quantification and propagation in autoclave-based curing processes of composites manufacturing.

Text

2024-04-11

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/87757

Materials Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/