Temperature optimization of mold for autoclave process of large composite manufacturing

In composite manufacturing, large composite parts usually exhibit high heating gradients during the autoclave process, which may intensify the process-induced residual stresses and deformations. As the thermal behavior of molds is of crucial importance to the curing performance of composites, a heat-balance method is presented to reduce the heating rate on overheated areas of molds, thus providing a more homogeneous curing process. The method is based on a local-isolation structure installed under the mold plate, which is used to change the local heat transfer coefficient of the mold. In the local-isolation structure application, an optimization process combining numerical simulations with a greedy genetic algorithm is developed to find the optimal layout and geometry of local-isolation structure in molds. The optimization results suggest that more uniform heating condition and more synchronous curing process can be achieved with the optimal design of local-isolation structure. In the case of a typical mold for C spar component, the maximum temperature difference in the composite part is reduce by 45.69%, while the maximum difference in degree of cure is decreased at a rate of 40.16%.

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Out-of-autoclave Process and Automation: A Successful Path to Highly Integrated and Cost Efficient Composite Wing Moveables

10.33599/nasampe/s.19.1409 ◽

2019 ◽

Author(s):

Thibault de Lumley ◽

François Mathieu ◽

Didier Cornet ◽

Dimitri Gueuning ◽

Nicolas Van Hille

Keyword(s):

Autoclave Process ◽

Cost Efficient ◽

Out Of Autoclave ◽

Composite Wing

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LDPE Building Blocks with Controlled Graphene-oxide Interfaces: Composite Manufacturing and Electric Property Investigation

IEEJ Transactions on Fundamentals and Materials ◽

10.1541/ieejfms.136.93 ◽

2016 ◽

Vol 136 (2) ◽

pp. 93-98 ◽

Cited By ~ 2

Author(s):

Paolo Mancinelli ◽

Valentina Santangelo ◽

Davide Fabiani ◽

Andrea Saccani ◽

Maurizio Toselli ◽

...

Keyword(s):

Graphene Oxide ◽

Building Blocks ◽

Electric Property ◽

Oxide Interfaces ◽

Composite Manufacturing

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Investigation on the Influence of Pressure Terms in a Volume-Averaged Energy Balance in the Modelling of Liquid Composite Moulding Processes

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.809.480 ◽

2019 ◽

Vol 809 ◽

pp. 480-486

Author(s):

Rohit George Sebastian ◽

Christof Obertscheider ◽

Ewald Fauster ◽

Ralf Schledjewski

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Energy Balance ◽

Matrix Material ◽

Energy Balance Equation ◽

Manufacturing Processes ◽

Composite Manufacturing ◽

Liquid Composite Moulding ◽

The Matrix ◽

Computational Fluid Dynamics Cfd

The growing use of composite materials has generated interest in improving and optimising composite manufacturing processes such as Liquid Composite Moulding (LCM). In LCM, dry preforms are placed in a mould and impregnated with the matrix material. The efficiency of filling the moulds can be improved by using Computational Fluid Dynamics (CFD) filling simulations during the design of the mould. As part of an on-going effort to develop a CFD tool for the simulation of LCM processes, a volume averaged energy balance equation has been derived and implemented in a custom OpenFOAM solver. The energy balance is implemented in a custom OpenFOAM solver with and without the pressure terms for comparison with results from RTM experiments. It is found that the pressure terms do not significantly influence the results for LCM processes.

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Causes and remedies for porosity in composite manufacturing

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/139/1/012002 ◽

2016 ◽

Vol 139 ◽

pp. 012002 ◽

Cited By ~ 10

Author(s):

G Fernlund ◽

J Wells ◽

L Fahrang ◽

J Kay ◽

A Poursartip

Keyword(s):

Composite Manufacturing

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Research for Swing Heating Furnace Temperature Optimization System of Plate Roller-Hearth Normalizing Furnace

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.4232 ◽

2013 ◽

Vol 380-384 ◽

pp. 4232-4236

Author(s):

Jing Li ◽

Qiu Shi Wang ◽

Hua Chen Liao

Keyword(s):

Heat Treatment ◽

Continuous Improvement ◽

Treatment Process ◽

Heating Furnace ◽

Matlab Simulation ◽

Furnace Temperature ◽

Temperature Prediction ◽

Temperature Optimization ◽

Prediction Curve ◽

Roller Hearth

In recent years, with the continuous improvement of the quality requirements of the plate heat treatment, the swing heated gradually become the focus of attention of many researchers. Based on the above considerations, in this paper, we established the furnace temperature pre-setting system, using the intelligence algorithm of improved PSO, under the premise of swing heating of roller-hearth normalizing furnace; and studied the optimal furnace temperature optimization curve, namely the optimal furnace temperature system, under the heat treatment process of the swing of the whole furnace and steel mixed. Through the Matlab simulation, we obtained the steel Temperature Prediction curve under the optimal furnace temperature system. By comparison, verifying the accuracy of the researched optimal furnace temperature optimization curve.

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