A Brownian cyclic engine operating in a viscoelastic active suspension
Carlos Antonio Guevara-Valadez, Rahul Marathe, Juan Ruben Gomez-Solano

TL;DR
This paper models a Stirling-like engine using a passive Brownian particle in an active suspension, deriving an effective stochastic equation to analyze efficiency influenced by viscoelastic memory effects.
Contribution
It introduces a novel analytical framework for a Brownian engine operating in a viscoelastic active suspension, highlighting the impact of memory effects on efficiency.
Findings
Viscoelasticity reduces the engine's quasi-static efficiency.
Memory effects are negligible in certain parameter regimes.
Engine performance can be approximated by an inert viscous bath at two effective temperatures.
Abstract
We investigate a model for a Stirling-like engine consisting of a passive Brownian particle confined by a harmonic potential and interacting with a suspension of active Brownian particles that self-propel in a viscous solvent, which cyclically operates under isothermal conditions by means of temporal variations of the trap stiffness and the self-propulsion speed of the active particles. We derive an effective stochastic equation of motion of the trapped Brownian particle, which includes a friction memory kernel as well as thermal and active fluctuating forces due to its coupling with the active suspension, from which we analytically compute the efficiency of the engine in the quasi-static limit. We find that, on average, the engine is capable to produce mechanical work with an efficiency that depends on the interplay between the different time-scales of the system, where the general…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Micro and Nano Robotics · stochastic dynamics and bifurcation
