Inverse Problems in Polymer Characterization
This work implements inverse methods in various polymer characterization problems. In the first topic, a new approach is proposed to infer the comonomer content using Crystaf method considering and quantifying the associated uncertainty. In the second topic, a comparison is carried out between vario...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/FSU_migr_etd-9104 |
| Summary: | This work implements inverse methods in various polymer characterization problems. In the first topic, a new approach is proposed to infer the comonomer content using Crystaf method considering and quantifying the associated uncertainty. In the second topic, a comparison is carried out between various rheological probes (methods) to determine their sensitivity in long-chain branching (LCB) detection and measurement. In the last topic, an open-source software is implemented to infer continuous and discrete relaxation modulus. === A Dissertation submitted to the Department of Scientific Computing in partial fulfillment of the requirements for the
degree of Doctor of Philosophy. === Summer Semester, 2014. === May 29, 2014. === Characterization, Inverse methods, Polymer, Uncertainty Quantification === Includes bibliographical references. === Sachin Shanbhag, Professor Directing Dissertation; William Oates, University Representative; Anke Meyer-Baese, Committee Member; Peter Beerli, Committee Member; Jim Wilgenbusch, Committee Member. |
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