A New production methodology for vacuum infusion process of advanced composite structures

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2017
Poorzeinolabedin, Mohsen
Vacuum Infusion Process (VIP) is one of the Liquid Composite Molding (LCM) methods which are widely used in out-of-autoclave processes especially for the manufacturing of large scale composite parts in aerospace, automotive, wind energy and marine industries. In order to simulate the infusion process, the permeability of preforms is an essential parameter. Absence of any standard is a challenge for the determination of in-plane permeabilities of a preform. The first objective of this study is to develop an approach to estimate the principle permeability from a single rectilinear infusion. The presented method for permeability measurement is able to obtain preform permeability in three different directions, simultaneously and allows the calculation of the principle permeability. The repeatability of results and unusual resin filling patterns are the main challenges of this approach. It is due to the heterogeneous nature of fabrics, nesting the layers during the molding and the process over-dependency on the labor skill. Although, the simulation of the process can overcome some of the process challenges to some extent, it may not be helpful for the undesirable filling scenarios. Therefore, a real-time resin flow control may guarantee a near-perfect filling process. Another objective of this study is the resin flow control in real time. The specific resin flow control approach named here as Electromagnetically Induced Preform Resting (EIPR) introduces a new creative upper flexible mold for resting the preform to increase the permeability of preforms locally in a real time manner. This process is demonstrated experimentally and numerically. The results show the reliability and efficiency of the presented method.

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Citation Formats
M. Poorzeinolabedin, “A New production methodology for vacuum infusion process of advanced composite structures,” Ph.D. - Doctoral Program, Middle East Technical University, 2017.