Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites
Abstract
Here, we present a detailed methodology for experimental measurement of fiber orientation distribution in injection-molded discontinuous fiber composites using the method of ellipses on two-dimensional cross sections. Best practices to avoid biases occurring during surface preparation and optical imaging of carbon-fiber-reinforced thermoplastics are discussed. We developed a marker-based watershed transform routine for efficient image segmentation and the separation of touching fiber ellipses. The sensitivity of the averaged orientation tensor to the image sample size is studied for the case of long-fiber thermoplastics. A Mori–Tanaka implementation of the Eshelby model is then employed to quantify the sensitivity of elastic stiffness predictions to biases in the fiber orientation distribution measurements.
- Authors:
-
- Purdue Univ., West Lafayette, IN (United States). Chemical Engineering. Shool of Aeronautics and Astronautics
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. of Mechanical Science and Engineering
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1411878
- Report Number(s):
- PNNL-SA-122781
Journal ID: ISSN 0021-9983
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Composite Materials
- Additional Journal Information:
- Journal Volume: 52; Journal Issue: 13; Journal ID: ISSN 0021-9983
- Publisher:
- SAGE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; long-fiber thermoplastics; injection molding; fiber orientation distribution measurement; uncertainty quantification; elastic properties
Citation Formats
Sharma, Bhisham N., Naragani, Diwakar, Nguyen, Ba Nghiep, Tucker, Charles L., and Sangid, Michael D. Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites. United States: N. p., 2017.
Web. doi:10.1177/0021998317733533.
Sharma, Bhisham N., Naragani, Diwakar, Nguyen, Ba Nghiep, Tucker, Charles L., & Sangid, Michael D. Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites. United States. https://doi.org/10.1177/0021998317733533
Sharma, Bhisham N., Naragani, Diwakar, Nguyen, Ba Nghiep, Tucker, Charles L., and Sangid, Michael D. Thu .
"Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites". United States. https://doi.org/10.1177/0021998317733533. https://www.osti.gov/servlets/purl/1411878.
@article{osti_1411878,
title = {Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites},
author = {Sharma, Bhisham N. and Naragani, Diwakar and Nguyen, Ba Nghiep and Tucker, Charles L. and Sangid, Michael D.},
abstractNote = {Here, we present a detailed methodology for experimental measurement of fiber orientation distribution in injection-molded discontinuous fiber composites using the method of ellipses on two-dimensional cross sections. Best practices to avoid biases occurring during surface preparation and optical imaging of carbon-fiber-reinforced thermoplastics are discussed. We developed a marker-based watershed transform routine for efficient image segmentation and the separation of touching fiber ellipses. The sensitivity of the averaged orientation tensor to the image sample size is studied for the case of long-fiber thermoplastics. A Mori–Tanaka implementation of the Eshelby model is then employed to quantify the sensitivity of elastic stiffness predictions to biases in the fiber orientation distribution measurements.},
doi = {10.1177/0021998317733533},
journal = {Journal of Composite Materials},
number = 13,
volume = 52,
place = {United States},
year = {Thu Sep 28 00:00:00 EDT 2017},
month = {Thu Sep 28 00:00:00 EDT 2017}
}
Web of Science
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Works referencing / citing this record:
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