Electro-Rheological Fluids in Engineering: Design and Optimization of Solid-State Pumps

Electro-Rheological Fluids in Engineering: Design and Optimization of Solid-State Pumps

Authors

  • Rajesh Sharma Tribhuvan University
  • Anju Thapa Department of Electrical Engineering, Kathmandu University

Keywords:

electro-rheological fluids, smart materials, solid-state pumps, pump design, optimization

Abstract

Electro-rheological (ER) fluids are smart materials that experience dramatic changes in rheological properties such as viscosity and yield stress under applied electric fields. Their unique properties make them attractive for a wide range of engineering applications including clutches, brakes, valves, and vibration dampers. More recently, ER fluids have shown promise for developing solid-state pumps as an alternative to mechanical pumps. In this paper, we provide a comprehensive review of ER fluid fundamentals, ER pump designs, modeling and optimization approaches, and applications. The key mechanisms for achieving pumping action using ER fluids are highlighted, including annular pump, peristaltic pump, and valveless pump designs. Mathematical models for simulating the behavior of ER pumps are presented, along with experimental validation. Design optimization strategies using techniques such as Taguchi methods, RSM, and multi-objective optimization are discussed. Overall, ER fluid-based pumps offer simplicity, quiet operation, fast response, mechanical durability, and the absence of moving parts or the need for seals. Current challenges and future opportunities are outlined for further advancing ER pump engineering and associated smart fluidic systems. Three tables summarizing key ER fluid properties, pump designs, and applications are included.

Author Biographies

Rajesh Sharma, Tribhuvan University

 

 

 

 

Anju Thapa, Department of Electrical Engineering, Kathmandu University

 

 

 

Downloads

Published

2022-11-20

How to Cite

Sharma, R., & Thapa, A. (2022). Electro-Rheological Fluids in Engineering: Design and Optimization of Solid-State Pumps. International Journal of Intelligent Automation and Computing, 5(2), 46–57. Retrieved from https://research.tensorgate.org/index.php/IJIAC/article/view/94
Loading...