Chuan-Hua Chen
VerifiedDuke University · Civil & Environmental Engineering
Active 2000–2019
About
Dr. Chuan-Hua Chen is an Associate Professor and Hunt Faculty Scholar of Mechanical Engineering and Materials Science at Duke University, where he leads the Microscale Physicochemical Hydrodynamics Laboratory (µPHYL). He earned his B.S. degree in Applied Mechanics from Peking University in 1998 and his Ph.D. in Mechanical Engineering from Stanford University in 2004. Before joining Duke in 2007, Dr. Chen worked as a postdoctoral associate at Princeton University and as a research scientist at Rockwell Scientific Company. He has been recognized with prestigious awards including the NSF CAREER Award and the DARPA Young Faculty Award for his innovative research that integrates physicochemical hydrodynamics with interfacial engineering. His work has gained significant attention, being featured on the covers of Physical Review Letters and Applied Physics Letters, and covered by both professional and popular media such as Science and The New York Times.
Research topics
- Materials science
- Mechanics
- Nanotechnology
- Physics
- Composite material
Selected publications
Default Digital Object Group · 2019-03-20
datasetSenior authorA superhydrophobic surface is non-sticking to aqueous droplets due to minimized solid-liquid contact, but the small contact area also poses challenges to droplet maneuvering. This letter reports a technique using electric field gradients to actuate aqueous droplets on superhydrophobic surfaces. A pin-ring electrode pair underneath the insulating superhydrophobic surface is used to generate electric field gradient above the surface, with the field focused around the pin. The non-uniform field operates on the electrostatically induced charges on the droplet, producing an actuation force attracting the droplet toward the pin. The actuation force is proportional to the square of the imposed field as shown in both experiments and simulations. This non-contact actuation technique is effective in electrostatically trapping and translating superhydrophobic droplets, despite the small solid-liquid contact. The pin-ring configuration can be readily extended to a pin array between two parallel lines, which essentially form a stretched ring closing at infinity. The pin array is used to demonstrate individual actuation of two droplets leading to their eventual coalescence.
Default Digital Object Group · 2019-03-20
datasetSenior authorA superhydrophobic surface is non-sticking to aqueous droplets due to minimized solid-liquid contact, but the small contact area also poses challenges to droplet maneuvering. This letter reports a technique using electric field gradients to actuate aqueous droplets on superhydrophobic surfaces. A pin-ring electrode pair underneath the insulating superhydrophobic surface is used to generate electric field gradient above the surface, with the field focused around the pin. The non-uniform field operates on the electrostatically induced charges on the droplet, producing an actuation force attracting the droplet toward the pin. The actuation force is proportional to the square of the imposed field as shown in both experiments and simulations. This non-contact actuation technique is effective in electrostatically trapping and translating superhydrophobic droplets, despite the small solid-liquid contact. The pin-ring configuration can be readily extended to a pin array between two parallel lines, which essentially form a stretched ring closing at infinity. The pin array is used to demonstrate individual actuation of two droplets leading to their eventual coalescence.
An improved TLD algorithm with selective detection
Journal of Physics Conference Series · 2019-02-01
articleOpen accessSenior authorThis paper proposes an improved TLD algorithm with selective detection. In the tracking module, KCF is used as the short-term tracker, and the idea of backward tracking is introduced to judge the accuracy of the result, when the result is inaccurate, the proposed algorithm starts up the detection module; in the detection module, H component of the color image is used as the input, and the mean filter serves as the first layer of the cascaded classifier, the color histogram similarity measure method is used to judge the accuracy of the detection results; finally a fusion strategy is formulated according to the output results of the tracking module and the detection module. The experiments carried on the OTB-2013 data platform show that the tracking accuracy and success rate of the proposed algorithm are respectively 0.801 and 0.591, which are 20.4% and 16.5% higher than the TLD algorithm, besides the proposed algorithm have good adaptability in scenarios such as illumination change, occlusion, and scale change, which shows superior tracking robustness.
Droplet actuation on superhydrophobic substrates via electric field gradients
Applied Physics Letters · 2019-03-18 · 21 citations
articleSenior authorA superhydrophobic surface is non-sticking to aqueous droplets due to minimized solid-liquid contact, but the small contact area also poses challenges to droplet maneuvering. This letter reports a technique using electric field gradients to actuate aqueous droplets on superhydrophobic surfaces. A pin-ring electrode pair underneath the insulating superhydrophobic surface is used to generate electric field gradient above the surface, with the field focused around the pin. The non-uniform field operates on the electrostatically induced charges on the droplet, producing an actuation force attracting the droplet toward the pin. The actuation force is proportional to the square of the imposed field as shown in both experiments and simulations. This non-contact actuation technique is effective in electrostatically trapping and translating superhydrophobic droplets, despite the small solid-liquid contact. The pin-ring configuration can be readily extended to a pin array between two parallel lines, which essentially form a stretched ring closing at infinity. The pin array is used to demonstrate individual actuation of two droplets leading to their eventual coalescence.
Evaporation-Induced Breakup of a Droplet in a Shallow Well
APS Division of Fluid Dynamics Meeting Abstracts · 2019-11-01
articleSenior authorDefault Digital Object Group · 2019-03-20
datasetSenior authorA superhydrophobic surface is non-sticking to aqueous droplets due to minimized solid-liquid contact, but the small contact area also poses challenges to droplet maneuvering. This letter reports a technique using electric field gradients to actuate aqueous droplets on superhydrophobic surfaces. A pin-ring electrode pair underneath the insulating superhydrophobic surface is used to generate electric field gradient above the surface, with the field focused around the pin. The non-uniform field operates on the electrostatically induced charges on the droplet, producing an actuation force attracting the droplet toward the pin. The actuation force is proportional to the square of the imposed field as shown in both experiments and simulations. This non-contact actuation technique is effective in electrostatically trapping and translating superhydrophobic droplets, despite the small solid-liquid contact. The pin-ring configuration can be readily extended to a pin array between two parallel lines, which essentially form a stretched ring closing at infinity. The pin array is used to demonstrate individual actuation of two droplets leading to their eventual coalescence.
Thin-Film Breakup Dynamics of a Binary Mixture Drop during Evaporation
APS Division of Fluid Dynamics Meeting Abstracts · 2019-11-01
articleSenior authorAsymmetric drop coalescence launches fungal ballistospores with directionality
Journal of The Royal Society Interface · 2017-07-01 · 45 citations
articleOpen accessSenior authorCorrespondingThousands of fungal species use surface energy to power the launch of their ballistospores. The surface energy is released when a spherical Buller's drop at the spore's hilar appendix merges with a flattened drop on the adaxial side of the spore. The launching mechanism is primarily understood in terms of energetic models, and crucial features such as launching directionality are unexplained. Integrating experiments and simulations, we advance a mechanistic model based on the capillary-inertial coalescence between the Buller's drop and the adaxial drop, a pair that is asymmetric in size, shape and relative position. The asymmetric coalescence is surprisingly effective and robust, producing a launching momentum governed by the Buller's drop and a launching direction along the adaxial plane of the spore. These key functions of momentum generation and directional control are elucidated by numerical simulations, demonstrated on spore-mimicking particles, and corroborated by published ballistospore kinematics. Our work places the morphological and kinematic diversity of ballistospores into a general mechanical framework, and points to a generic catapulting mechanism of colloidal particles with implications for both biology and engineering.
Nano Energy · 2017-10-31 · 118 citations
article1st authorHotspot cooling with jumping-drop vapor chambers
Applied Physics Letters · 2017-04-03 · 141 citations
articleSenior authorHotspot cooling is critical to the performance and reliability of electronic devices, but existing techniques are not very effective in managing mobile hotspots. We report a hotspot cooling technique based on a jumping-drop vapor chamber consisting of parallel plates of a superhydrophilic evaporator and a superhydrophobic condenser, where the working fluid is returned via the spontaneous out-of-plane jumping of condensate drops. While retaining the passive nature of traditional vapor-chamber heat spreaders (flat-plate heat pipes), the jumping-drop technique offers a mechanism to address mobile hotspots with a pathway toward effective thermal transport in the out-of-plane direction.
Recent grants
SGER: Biomimetic Electrospray Vapor Chamber
NSF · $40k · 2008–2009
CAREER: Electrohydrodynamic Coulter Counting
NSF · $418k · 2009–2014
Adaptive Hotspot Cooling with Self-Propelled Jumping Condensate
NSF · $250k · 2012–2015
Frequent coauthors
- 29 shared
Jonathan B. Boreyko
Virginia Tech
- 16 shared
Fangjie Liu
Oak Ridge National Laboratory
- 14 shared
James J. Feng
- 13 shared
Juan G. Santiago
- 11 shared
Xiaopeng Qu
Northwest A&F University
- 11 shared
Yuejun Zhao
- 8 shared
H. Alex Guo
Jinling Institute of Technology
- 7 shared
Scott T. Retterer
Oak Ridge National Laboratory
Labs
Microscale Physicochemical Hydrodynamics LaboratoryPI
Not provided
Education
- 2004
Ph.D., Mechanical Engineering
Stanford University
Awards & honors
- Faculty Early Career Development (CAREER) Program. National…
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