Cure monitoring of the liquid composite molding process using fiber optic sensors

1997 ◽  
Vol 18 (1) ◽  
pp. 133-150 ◽  
Author(s):  
Dara L. Woerdeman ◽  
Julie K. Spoerre ◽  
Kathleen M. Flynn ◽  
Richard S. Parnas
Keyword(s):  
Fiber Optic ◽  
Fiber Optic Sensors ◽  
Liquid Composite Molding ◽  
Molding Process ◽  
Cure Monitoring ◽  
Composite Molding

scholarly journals A Conceptional Approach of Resin-Transfer-Molding to Rosin-Sourced Epoxy Matrix Green Composites

Aerospace ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 5
Author(s):  
Sicong Yu ◽  
Xufeng Zhang ◽  
Xiaoling Liu ◽  
Chris Rudd ◽  
Xiaosu Yi
Keyword(s):  
Composite Laminates ◽  
Resin Transfer Molding ◽  
High Viscosity ◽  
Ramie Fiber ◽  
Liquid Composite Molding ◽  
Curing Agent ◽  
Molding Process ◽  
Transfer Molding ◽  
Low Viscosity ◽  
Composite Molding

In this concept-proof study, a preform-based RTM (Resin Transfer Molding) process is presented that is characterized by first pre-loading the solid curing agent onto the preform, and then injecting the liquid nonreactive resin with an intrinsically low viscosity into the mold to infiltrate and wet the pre-loaded preform. The separation of resin and hardener helped to process inherently high viscosity resins in a convenient way. Rosin-sourced, anhydrite-cured epoxies that would normally be regarded as unsuited to liquid composite molding, were thus processed. Rheological tests revealed that by separating the anhydrite curing agent from a formulated RTM resin system, the remaining epoxy liquid had its flowtime extended. C-scan and glass transition temperature tests showed that the preform pre-loaded with anhydrite was fully infiltrated and wetted by the liquid epoxy, and the two components were diffused and dissolved with each other, and finally, well reacted and cured. Composite laminates made via this approach exhibited roughly comparable quality and mechanical properties with prepreg controls via autoclave or compression molding, respectively. These findings were verified for both carbon and ramie fiber composites.

Fiber optic flow and cure sensing for liquid composite molding

2001 ◽  
Vol 35 (2) ◽  
pp. 91-104 ◽  
Author(s):  
Joy P. Dunkers ◽  
Joseph L. Lenhart ◽  
Sylvia R. Kueh ◽  
John H. van Zanten ◽  
Suresh G. Advani ◽  
...  
Keyword(s):  
Optic Flow ◽  
Fiber Optic ◽  
Liquid Composite Molding ◽  
Composite Molding

Role of vacuum pressure and port locations on flow front control for liquid composite molding process

2001 ◽  
Vol 22 (5) ◽  
pp. 660-667 ◽  
Author(s):  
Kuang-Ting Hsiao ◽  
John W. Gillespie ◽  
Suresh G. Advani ◽  
Bruce K. Fink
Keyword(s):  
Vacuum Pressure ◽  
Liquid Composite Molding ◽  
Flow Front ◽  
Molding Process ◽  
Composite Molding

Flow-induced deformation of unidirectional carbon fiber preform during the mold filling stage in liquid composite molding process

2017 ◽  
Vol 52 (9) ◽  
pp. 1265-1277 ◽  
Author(s):  
Dong Gi Seong ◽  
Shino Kim ◽  
Moon Kwang Um ◽  
Young Seok Song
Keyword(s):  
High Speed ◽  
Volume Fraction ◽  
Orientation Angle ◽  
Mold Filling ◽  
Liquid Composite Molding ◽  
Fiber Preform ◽  
Molding Process ◽  
Controllable Factors ◽  
Composite Molding ◽  
Fiber Deformation

Liquid composite molding has been developed as a high-speed process for manufacturing automotive lightweight parts using new equipment that applies a high pressure for mixing and injection. One of the technical issues is the deformation of fiber preform during the process, which causes defects in the size, mechanical properties and appearance of the final products. In this study, two types of deformation in unidirectional fiber preform during the mold filling process are investigated, which are rigid body deformation and local deformation. Three important forces, namely friction, in-mold stiffness of fiber preform and resin flow, are measured to investigate the mechanism of the fiber deformation. The magnitude of the forces was compared at an instant, which influenced the types of fiber deformation. The effects of the orientation angle and the volume fraction of fiber preform and flow rate were investigated to identify controllable factors to prevent undesired deformation during the process.

Analysis of an injection/compression liquid composite molding process

1998 ◽  
Vol 19 (4) ◽  
pp. 487-496 ◽  
Author(s):  
Kerang Han ◽  
Jun Ni ◽  
James Toth ◽  
L. James Lee ◽  
Joseph P. Greene
Keyword(s):  
Liquid Composite Molding ◽  
Molding Process ◽  
Composite Molding

scholarly journals Permeability Analysis of Natural and Artificial Fiber Textiles for Liquid Composite Molding Process

2020 ◽  
Vol 47 ◽  
pp. 435-439
Author(s):  
Vitantonio Esperto ◽  
Luca Boccarusso ◽  
Massimo Durante ◽  
Luigi Carrino ◽  
Pierpaolo Carlone
Keyword(s):  
Liquid Composite Molding ◽  
Molding Process ◽  
Composite Molding

scholarly journals A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes

Polymers ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 20 ◽  
Author(s):  
Felice Rubino ◽  
Pierpaolo Carlone
Keyword(s):  
Resin Transfer Molding ◽  
Resin Flow ◽  
Liquid Composite Molding ◽  
Molding Process ◽  
Transfer Molding ◽  
Deformable Porous Media ◽  
Filling Time ◽  
Composite Molding ◽  
Fabric Deformation ◽  
Porosity And Permeability

In liquid composite molding processes, such as resin transfer molding (RTM) and vacuum assisted resin transfer molding (VARTM), the resin is drawn through fiber preforms in a closed mold by an induced pressure gradient. Unlike the RTM, where a rigid mold is employed, in VARTM, a flexible bag is commonly used as the upper-half mold. In this case, fabric deformation can take place during the impregnation process as the resin pressure inside the preform changes, resulting in continuous variations of reinforcement thickness, porosity, and permeability. The proper approach to simulate the resin flow, therefore, requires coupling deformation and pressure field making the process modeling more complex and computationally demanding. The present work proposes an efficient methodology to add the effects of the preform compaction on the resin flow when a deformable porous media is considered. The developed methodology was also applied in the case of Seeman’s Composite Resin Infusion Molding Process (SCRIMP). Numerical outcomes highlighted that preform compaction significantly affects the resin flow and the filling time. In particular, the more compliant the preform, the more time is required to complete the impregnation. On the other hand, in the case of SCRIMP, the results pointed out that the resin flow is mainly ruled by the high permeability network.

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