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You searched for id:"oai:tigerprints.clemson.edu:all_theses-4292". One record found.

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Clemson University

1. Murdaugh, Amy. Modeling and Optimization of Self-Healing Polymers.

Degree: MS, Mathematical Sciences, 2020, Clemson University

Continuous interests in developing self-healable polymers are driven by the desire to extend life spans of existing functional materials. Combining mathematical modeling and optimization approaches with experimental studies, an ultimate aim is to predict the flow and macroscopic wound closures in polymeric materials. Corresponding numerical simulations to experimental results are presented, utilizing two mathematical models that describe bulk or layer flow. An optimization routine for this self-healing process is described and implemented using two different approaches, competitive with each other with respect to accuracy. Finally a multi-layer model is simulated to show the flow profile of multiple layers rather than a single surface one. Advisors/Committee Members: Margaret M Wiecek, Marek W Urban.

Subjects/Keywords: numerical modeling; optimization; self-healable polymers; thin-film equation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Murdaugh, A. (2020). Modeling and Optimization of Self-Healing Polymers. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/3285

Chicago Manual of Style (16th Edition):

Murdaugh, Amy. “Modeling and Optimization of Self-Healing Polymers.” 2020. Masters Thesis, Clemson University. Accessed September 18, 2020. https://tigerprints.clemson.edu/all_theses/3285.

MLA Handbook (7th Edition):

Murdaugh, Amy. “Modeling and Optimization of Self-Healing Polymers.” 2020. Web. 18 Sep 2020.

Vancouver:

Murdaugh A. Modeling and Optimization of Self-Healing Polymers. [Internet] [Masters thesis]. Clemson University; 2020. [cited 2020 Sep 18]. Available from: https://tigerprints.clemson.edu/all_theses/3285.

Council of Science Editors:

Murdaugh A. Modeling and Optimization of Self-Healing Polymers. [Masters Thesis]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_theses/3285

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