Search

In this paper, a statistical physical derivation of thermodynamically consistent fluid mechanical equations is presented for non-isothermal viscous molecular fluids. The coarse-graining process is based on (i) the adiabatic expansion of the one-particle probability density function around local thermodynamic equilibrium, (ii) the assumption of decoupled particle positions and momenta, and (iii) the variational principle. It is shown that there exists a class of free energy functionals for which the conventional thermodynamic formalism can be naturally adopted for non-equilibrium scenarios, and describes entropy monotonic fluid flow in isolated systems. Furthermore, the analysis of the general continuum equations revealed the possibility of a non-local transport mode of energy in highly compressible dense fluids. [ABSTRACT FROM AUTHOR]

In this paper, a statistical physical derivation of thermodynamically consistent fluid mechanical equations is presented for non-isothermal viscous molecular fluids. The coarse-graining process is based on (i) the adiabatic expansion of the one-particle probability density function around local thermodynamic equilibrium, (ii) the assumption of decoupled particle positions and momenta, and (iii) the variational principle. It is shown that there exists a class of free energy functionals for which the conventional thermodynamic formalism can be naturally adopted for non-equilibrium scenarios, and describes entropy monotonic fluid flow in isolated systems. Furthermore, the analysis of the general continuum equations revealed the possibility of a non-local transport mode of energy in highly compressible dense fluids.

Near‐infrared (NIR) light responsive shape memory polymers (SMPs) can realize remotely and regionally controlled shape changing that shows broad potential applications. Herein, an NIR‐responsive shape memory polymer (G/PNs) is prepared by introducing reduced graphene oxide to liquid crystal elastomers‐based polymer networks (PNs). The G/PNs present regulated reversible stress by tuning the NIR light irradiation. Furthermore, since the G/PNs are 3D‐printed with designed structure, the deformed 3D printing structure can be regionally patterned with varied shapes by controlling the moving path of NIR laser. In addition, the stress relaxation and cyclic stress–strain measurements are further studied to reveal the energy loss during the deformation and shape memory cycles. In compare with the previous work, the SMP networks provide a rather high reversible actuation stress and can realize remotely control by NIR. The NIR‐encoded shape memory effect can be used as actuators, artificial muscles. [ABSTRACT FROM AUTHOR]