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Enlai Gao

Publications and source records attributed to Enlai Gao.

2 recordsLinked to original sources

Torsional refrigeration by twisted, coiled, and supercoiled fibers

Higher efficiency, lower cost refrigeration is needed for both large and small scale cooling. Refrigerators using entropy changes during cycles of stretching or hydrostatically compression of a solid are possible alternatives to the vapor-compression fridges found in homes. We show that high cooling results from twist changes for twisted, coiled, or supercoiled fibers, including those of natural rubber, NiTi, and polyethylene fishing line. By using opposite chiralities of twist and coiling, supercoiled natural rubber fibers and coiled fishing line fibers result that cool when stretched. A demonstrated twist-based device for cooling flowing water provides a high cooling energy and device efficiency. Theory describes the axial and spring index dependencies of twist-enhanced cooling and its origin in a phase transformation for polyethylene fibers.

physics.app-ph

Fabricating Highly Ordered Nanofiber Assemblies by Controlled Shear Flow and Solvent Evaporation

Fabrication of highly ordered and dense nanofibers assemblies is of key importance in designing high-performance and multi-functional materials. In this work, we design an experimental approach in silico, combining shear flow and solvent evaporation to establish nanofiber alignment and densification of the assemblies. We demonstrate the feasibility of this approach by performing dissipative particle dynamics simulations, where the hydrodynamic and thermal fluctuation effects are fully modeled. We find that the microstructural order of assembled nanofibers can be established within a specific range of the Peclet number and evaporation flux. The underlying mechanism is elucidated by considering the competition between hydrodynamic coupling and fluctuating dynamics of nanofibers. Based on these understandings, we outline a practical setup to fabricate highly ordered and dense nanofiber assemblies.

cond-mat.mtrl-sci