Sensor Fusion for Simultaneous Estimation of In-Plane Permeability and Porosity of Fiber Reinforcement in Resin Transfer Molding
Abstract
:1. Introduction
2. Experimental Setup
3. Methodologies
3.1. Capacitance Sensing for Porosity Measurement
3.2. Darcy’s Law for Permeability Measurement
3.3. Numerical Simulation
3.3.1. Equipment Modeling and Mesh Generation
3.3.2. Process Simulation
4. Experimental Results
4.1. Experiments on Nine-Layer Fiber Preforms
4.2. Experiments on Seven-Layer Fiber Preforms
4.3. Verifications with Simulations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Parameters | Porosity | Permeability (m2) |
---|---|---|
Measured values from experiment 1 | 0.758 | 1.85 × 10−10 |
Measured values from experiment 2 | 0.767 | 2.07 × 10−10 |
Average values used in numerical simulation | 0.763 | 1.96 × 10−10 |
Parameters | Porosity | Permeability (m2) |
---|---|---|
Measured values from experiment 1 | 0.754 | 4.26 × 10−10 |
Measured values from experiment 2 | 0.718 | 2.9 × 10−10 |
Average values used in numerical simulation | 0.736 | 3.58 × 10−10 |
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Qi, W.; Chiu, T.-H.; Kao, Y.-K.; Yao, Y.; Chen, Y.-H.; Yang, H.; Wang, C.-C.; Hsu, C.-H.; Chang, R.-Y. Sensor Fusion for Simultaneous Estimation of In-Plane Permeability and Porosity of Fiber Reinforcement in Resin Transfer Molding. Polymers 2022, 14, 2652. https://doi.org/10.3390/polym14132652
Qi W, Chiu T-H, Kao Y-K, Yao Y, Chen Y-H, Yang H, Wang C-C, Hsu C-H, Chang R-Y. Sensor Fusion for Simultaneous Estimation of In-Plane Permeability and Porosity of Fiber Reinforcement in Resin Transfer Molding. Polymers. 2022; 14(13):2652. https://doi.org/10.3390/polym14132652
Chicago/Turabian StyleQi, Wei, Tzu-Heng Chiu, Yi-Kai Kao, Yuan Yao, Yu-Ho Chen, Hsun Yang, Chen-Chieh Wang, Chia-Hsiang Hsu, and Rong-Yeu Chang. 2022. "Sensor Fusion for Simultaneous Estimation of In-Plane Permeability and Porosity of Fiber Reinforcement in Resin Transfer Molding" Polymers 14, no. 13: 2652. https://doi.org/10.3390/polym14132652