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Fiber attrition of long glass fiber-reinforced polypropylene in a Couette Flow was studied to obtain a fundamental understanding of the physics in fiber breakage. The developed experimental setup of the Couette rheometer in combination with the developed fiber length measurement technique is able to provide repeatable, accurate and robust data sets to quantify the fiber length reduction during the processing of fiber-filled materials. This article summarizes the first results of an ongoing experimental study on fiber breakage at the Polymer Engineering Center at the University of Wisconsin- Madison. The impact of fiber concentration, initial fiber length, residence time, melt temperature and processing speed was quantified and studied. The proposed procedure aims to isolate the effect of process variables on fiber breakage. Even for the gentlest processing conditions, the results indicate that the residual fiber length after processing is less than 50% of the initial fiber length. For the most severe processing conditions, the results suggest a reduction to less than 10% of the initial fiber length, which highlights the challenges that fiber breakage poses for processing of long glass fiber-reinforced thermoplastics.
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Waveform Estimation from Nonlinear Systems Using Machine Learning for Rapid Simulation and Design
Abstract—Simulating nonlinear systems featuring a dynamic DSP module is cumbersome, e.g., fiber transport with digital coherent receivers. Machine Learning is used to quickly and accurately estimate waveforms transported through multi-span fiber links over multiple launch powers and OSNRs. Replacing simulation techniques with ML is considered.
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- Award ID(s):
- 2052808
- PAR ID:
- 10503623
- Publisher / Repository:
- IEEE
- Date Published:
- ISBN:
- 978-1-6654-2352-6
- Page Range / eLocation ID:
- 1 to 2
- Subject(s) / Keyword(s):
- Machine Learning, Waveform Estimation, Rapid Simulation, Design
- Format(s):
- Medium: X
- Location:
- Miramar Beach, FL, USA
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/RAPID54473.2023.10264747
