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Self-Sensing Polymer Composites for Precursor Damage Detection via Mechanochemistry
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Self-Sensing Polymer Composites for Precursor Damage Detection via Mechanochemistry. |
| 개인저자 | Gunckel, Ryan Patrick. |
| 단체저자명 | Arizona State University. Chemical Engineering. |
| 발행사항 | [S.l.]: Arizona State University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 214 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798535547695 |
| 학위논문주기 | Thesis (Ph.D.)--Arizona State University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Dai, Lenore;Chattopadhyay, Aditi. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Chemical engineering. Polymer chemistry. Materials science. Mechanical properties. Acids. Nanocomposites. Nanoparticles. Magnetic fields. Mercury cadmium telluride. Heat. Stress-strain curves. Energy. Epoxy resins. Feasibility studies. Composite materials. Polymers. Carbon black. Carbon fibers. Cameras. Drug delivery systems. Fourier transforms. Solvents. Yield stress. Light. Hydrogels. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
