SNU CBE

Lagrangian-based simulation method using constrained Stokesian dynamics for particulate flows in microchannel

2024 · Journal of Fluid Mechanics

저자

Young Jin Lee, Howon Jin, Dae Yeon Kim, Seunghoon Kang, 안경현 (Kyung Hyun Ahn)

연구주제

Microfluidic and Bio-sensing Technologies · Rheology and Fluid Dynamics Studies

NTIS 과학기술표준분류

화공 > 화학공정 > 기초유기소재 공정기술

배정 근거: 지원 과제의 분류와 AI 키워드가 잡은 과제의 분류를 반씩(정책 연계 맵과 같은 방법).

AI 연구 키워드·방법

colloidal particle 미세채널 유동 particulate flow

lagrangian particle tracking stokesian dynamics

키워드 (OpenAlex)

Lagrangian particle tracking colloidal particles microchannel flow low Reynolds number hydrodynamic interactions particle mobility Brownian motion fouling

초록

A simulation method has been developed to efficiently evaluate the motion of colloidal particles in a low-Reynolds-number confined microchannel flow using a Lagrangian-based approach. In this method, the background velocity within the channel, in the absence of suspended particles, is obtained from a fluid dynamics solver and is used to update the velocity at the particle centres using the Stokesian dynamics (SD) method, which incorporates multi-body hydrodynamic interactions. As a result, instead of computing the momentum of both the fluid and particles throughout the entire computational domain, the microscopic balance equation is solved only at the particle centres, increasing the computational efficiency. To accommodate complex boundary conditions within the SD framework, imaginary particles are placed on the channel walls, allowing the mobility relation to be reformulated to apply v…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

연도과제부처사업수행기관NTIS 분류(1순위)
2024코팅기반 화학공정 연구센터과학기술정보통신부집단연구지원서울대학화공 > 화학공정 > 기초유기소재 공정기술

인접 그래프

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교수 1

안경현

정책분야 1

화학공정

키워드 1

미세채널 유동