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Electric time-domain reflectometry distributed flow sensor
Affiliation:1. Karlsruhe Institute of Technology (KIT), Institute of Vehicle System Technology (FAST), Lightweight Technology (LBT), Karlsruhe, Germany;2. Karlsruhe Institute of Technology (KIT), Institute of Applied Materials (IAM), Karlsruhe, Germany;3. BMW Group, Research and Innovation Centre (FIZ), Munich, Germany
Abstract:Liquid composite molding (LCM) has become an important processing technique to manufacture high-performance composite parts. The sensing of the process parameters, such as resin fill of the porous material, are key to improve repeatability, maximize quality and minimize cost. This paper describes a distributed flow sensor, which considerably decreases tooling integration costs and improves spatial resolution by allowing sensing of hundreds of sensing elements with a single input/output port. The transmission line sensor is virtually divided into a large number of small discrete transmission lines treated as a long array of sensing elements. Piecewise sensing is achieved by electric time-domain reflectometry and inversion of a non-uniform transmission line model. The paper describes the distributed sensing approach, experimentally validates distributed sensing in a LCM setup, and analyzes critical sensor parameters.
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