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Soft Materials and Rheology Group Research

 

Molten polymer microfluidics

There has been much research on generating drop flows in microfluidic devices. Our own group has done research on this previously (Fig. 1). We are now extending this research towards fabrication of microparticles.

Microfluidic devices have been used for converting drops into microparticle. Typically drops of a monomer are generated using a T-junction or a cross flow junction, and then crosslinked with UV irradiation or thermally. The chief limitation of this approach is that one can only fabricate particles out of monomers that can be crosslinked rapidly. We seek to develop high-temperature microfluidic devices which can generate controlled-size and shape drops from molten polymers; simply cooling them would be adequate to make particles. The major advantage of this approach is that one could make microparticles out of a vast variety of polymers, or by combining them.

The chief challenge is that the conventional devices made from PDMS using soft lithography are not suitable for handling molten polymers. A second problem – and a fundamental one – is that the high viscosity and low interfacial tension makes it difficult to generate drops by interfacial tension-driven breakup processes. We have developed a new fluid-handling platform that uses laser-machined metal foil to make microfluidic devices, and uses air pressure (rather than syringe pumps) to drive flow. We have successfully demonstrated drop and bubble formation using undiluted polymers of high viscosity and are now developing methods to generate particles from thermoplastic polymers.

Fig. 1: Generation of drops at a T-junction in a microfluidic device. Full details in Adzima and Velankar, J. Micromechanics and Microeng., 16, 1504-1510, 2006. Download


Questions, Suggestions, Comments? Send e-mail to velankar@pitt.edu

 

 

 

 

 

 

 

 

 

 

Current projects

Interfacially-active particles

Natural and synthetic papillae

Buckling phenomena

Microfluidic drop flows

Other research