Droplet formation in a T-shaped microfluidic junction

By Haihu Liu, Yonghao Zhang. 2009

219 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/5fad97e34298446ac9e137bf49d824959411205c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Junfeng Zhang
2. Yongping Chen
3. Zilong Deng
4. Yangyang He
5. Qing Li
6. Qing Liu

In Computational Mechanics

1. Junfeng Zhang
2. Yongping Chen
3. Zilong Deng
4. Yangyang He
5. Qing Li
6. Qing Liu

Citations in the corpus

• Hydrodynamics of a droplet passing through a microfluidic T-junction (2017, methodology): “The evolution equations for fi and gi are (Liu & Zhang 2009) fi(x+ eiδt, t+ δt)− fi(x, t)= 1 τf [ f eqi (x, t)− fi(x, t)] + Fiδt, (2.10) gi(x+ eiδt, t+ δt)− gi(x, t)= 1 τg [geqi (x, t)− gi(x, t)], (2.11) where τf and τg are the relaxation parameters, δt is the lattice time step, f eq i (x, t) and…”
• Droplet based microfluidics (2012, unknown): “The droplet breakup process [205], the transition from squeezing to dripping regime [206], and the influence of viscosity [207, 208] and geometry [209] on the breakup process was also calculated numerically with partially good agreement with experimental situations.”
• Lattice Boltzmann method for microfluidics: models and applications (2011, methodology): “A controllable approach to generate desirable droplet sizes is crucial for the downstream processes, and various methods have been proposed (Lin et al. 2008; Hallmark et al. 2009; Liu and Zhang 2009; Wu et al. 2009; Mo and Kwok 2006).”