Computation of intelligent magnetic hydrogel pumping in soft robotic peristaltic systems with a nonlinear Maxwell viscoelastic model

Beg, OA; Beg, TA; Kadir, A; Theodoris, T; Malysheva, LI; Leonard, HJ; Kuharat, S; Zubair, Z

Abstract

Shape morphing magnetic hydrogels are an exciting new development in intelligent materials which are being deployed in soft robotics. They are also being implemented in cosmetics (“magnetic nail polish”), medicine (tissue repair) and other engineering systems including remote inspection robotics, aerospace assembly etc. Motivated by exploring in more detail the fluid dynamics of these intelligent liquids, in the present work, we investigate theoretically and computationally the bionic peristaltic propulsion of magnetic hydrogels. This topic also has relevance to a new generation of transport mechanisms being explored in the conveyance of complex working fluids in energy-regenerating eco-bots. A viscoelastic formulation with a fractional Maxwell model is employed for the magnetic hydrogel. The transport problem is studied under creeping flow conditions i.e. low Reynolds number and long wavelength approximations. The semi-numerical Adomian decomposition method (ADM) is employed to determine approximate solutions for the resulting fractional differential equation (FDE) under moving boundary conditions. The viscoelastic model incorporates relaxation and retardation times. Numerical results and simulation are achieved with Mathematica symbolic software. With increasing ratio of relaxation to retardation time, the peristaltic flow is accelerated close to the channel walls but decelerated towards the core region of the channel. Increasing magnetic body force parameter (Hartmann number) decelerates the flow close to the channel walls whereas it accelerates the flow in the core region. With an elevation in amplitude ratio, the flow is accelerated throughout the channel. Greater Hartmann number is observed to enhance the magnitude of the trapping bolus but to decrease the number of boluses. The magnetic field generally exerts a strong regulating effect on flow. The tunability of magnetic hydrogel liquids is clearly demonstrated via geometric and external magnetic field techniques.

Citation

Beg, O., Beg, T., Kadir, A., Theodoris, T., Malysheva, L., Leonard, H., …Zubair, Z. Computation of intelligent magnetic hydrogel pumping in soft robotic peristaltic systems with a nonlinear Maxwell viscoelastic model. Presented at ICFM 2022: 16th International Conference on Fluid Mechanics, Helsinki, Finland

• Presentation Conference Type: Other
• Conference Name: ICFM 2022: 16th International Conference on Fluid Mechanics
• Conference Location: Helsinki, Finland
• End Date: Jul 20, 2022
• Acceptance Date: Dec 14, 2020
• Deposit Date: Jan 8, 2021
• Publisher URL: https://waset.org/fluid-mechanics-conference-in-july-2022-in-helsinki
• Related Public URLs: https://waset.org/
• Additional Information: Event Type : Conference