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Particle Capture in a Model Chaotic Flow
Particle Capture in a Model Chaotic Flow
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153024
- ISBN
- 9798346858362
- DDC
- 621
- 저자명
- Wang, Mengying.
- 서명/저자
- Particle Capture in a Model Chaotic Flow
- 발행사항
- [Sl] : Northwestern University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 169 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
- 주기사항
- Advisor: Lueptow, Richard M.
- 학위논문주기
- Thesis (Ph.D.)--Northwestern University, 2024.
- 초록/해제
- 요약This dissertation investigates particle capture in a model chaotic flow, with motivation from geophysical applications such as pollutant removal from oceans and the atmosphere. Utilizing the double-gyre model, a chaotic flow sharing similarities with geophysical systems, the study examines both stationary and mobile capture units to understand their effectiveness in various chaotic environments.The research begins by exploring stationary capture units, where the effectiveness of particle capture is analyzed in relation to the location within chaotic and non-chaotic regions of the flow. A novel numerical approach is developed to identify and characterize flow structures, particularly barriers to transport, which play a crucial role in determining capture efficiency. The findings highlight that capture efficiency is strongly influenced by the presence of these barriers, with units placed in chaotic/non-chaotic regions showing the highest capture capability.Building on these insights, the study extends to mobile capture units, which are more practical for dynamic environments. Various movement strategies for mobile units are explored, evaluating their performance under different flow conditions. The results reveal that adaptive strategies that account for the underlying chaotic structures of the flow can dramatically improve capture efficiency.Finally, a comprehensive scaling analysis is conducted to establish a relationship between flow parameters, capture unit characteristics, and capture efficiency. This analysis provides a framework for optimizing the design and operation of pollutant capture systems in real-world chaotic fluid environments.
- 일반주제명
- Mechanical engineering
- 일반주제명
- Fluid mechanics
- 일반주제명
- Geophysics
- 키워드
- Chaotic flow
- 키워드
- Particle capture
- 기타저자
- Northwestern University Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211153024
■006m o d
■007cr#unu||||||||
■020 ▼a9798346858362
■035 ▼a(MiAaPQ)AAI31632913
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aWang, Mengying.▼0(orcid)0000-0001-8590-2561
■24510▼aParticle Capture in a Model Chaotic Flow
■260 ▼a[Sl]▼bNorthwestern University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a169 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-06, Section: B.
■500 ▼aAdvisor: Lueptow, Richard M.
■5021 ▼aThesis (Ph.D.)--Northwestern University, 2024.
■520 ▼aThis dissertation investigates particle capture in a model chaotic flow, with motivation from geophysical applications such as pollutant removal from oceans and the atmosphere. Utilizing the double-gyre model, a chaotic flow sharing similarities with geophysical systems, the study examines both stationary and mobile capture units to understand their effectiveness in various chaotic environments.The research begins by exploring stationary capture units, where the effectiveness of particle capture is analyzed in relation to the location within chaotic and non-chaotic regions of the flow. A novel numerical approach is developed to identify and characterize flow structures, particularly barriers to transport, which play a crucial role in determining capture efficiency. The findings highlight that capture efficiency is strongly influenced by the presence of these barriers, with units placed in chaotic/non-chaotic regions showing the highest capture capability.Building on these insights, the study extends to mobile capture units, which are more practical for dynamic environments. Various movement strategies for mobile units are explored, evaluating their performance under different flow conditions. The results reveal that adaptive strategies that account for the underlying chaotic structures of the flow can dramatically improve capture efficiency.Finally, a comprehensive scaling analysis is conducted to establish a relationship between flow parameters, capture unit characteristics, and capture efficiency. This analysis provides a framework for optimizing the design and operation of pollutant capture systems in real-world chaotic fluid environments.
■590 ▼aSchool code: 0163.
■650 4▼aMechanical engineering
■650 4▼aFluid mechanics
■650 4▼aGeophysics
■653 ▼aChaotic flow
■653 ▼aNonlinear dynamics
■653 ▼aParticle capture
■653 ▼aStationary capture units
■690 ▼a0548
■690 ▼a0204
■690 ▼a0373
■71020▼aNorthwestern University▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-06B.
■790 ▼a0163
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164620▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


