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Online estimation and monitoring of local permeability in resin transfer molding
Author(s) -
Wei BaiJian,
Chang YuSung,
Yao Yuan,
Fang Jun
Publication year - 2016
Publication title -
polymer composites
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 82
eISSN - 1548-0569
pISSN - 0272-8397
DOI - 10.1002/pc.23290
Subject(s) - transfer molding , materials science , permeability (electromagnetism) , composite material , automotive industry , molding (decorative) , computer science , visualization , process engineering , engineering , mold , artificial intelligence , membrane , biology , genetics , aerospace engineering
Resin transfer molding (RTM) is a popular manufacturing method of composite materials, which have been widely used in many areas including aeronautic, automotive industries, etc. In RTM, permeability of fiber reinforcement varies with its geometric formation and affects the property of resin flow, which influences the final product quality. Therefore, effective estimation of permeability is crucial to achieving good process control and satisfactory quality product. In this article, a method of online estimating and monitoring local permeability is proposed. It can deal with variation in local permeability within preform caused by irregular arrangement of fibers among different regions. This study is divided into three stages. In the first stage, flow visualization was realized and all hardware was integrated to acquire real‐time information in resin filling period. In the second stage, local pressure and flow front location were substituted into the Darcy's law, thus making online calculation of local permeability feasible. Then, in the third stage, the statistical process control charting technique was adopted to identify the changes in permeability. The proposed methods were used in trial RTM tests to compare their results to those from the reference method and to confirm their effectiveness. POLYM. COMPOS. 37:1249–1258, 2016. © 2014 Society of Plastics Engineers