Coupled operational optimization of smart valve system subject to different approach angles of a pipe contraction

In this paper, we focus on interconnected trajectory optimization of two sets of solenoid actuated butterfly valves dynamically coupled in series. The system undergoes different approach angles of a pipe contraction as a typical profile of the so-called “Smart Valves” network containing tens of actu...

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Vydáno v:Structural and multidisciplinary optimization Ročník 55; číslo 3; s. 1001 - 1015
Hlavní autoři: Naseradinmousavi, Peiman, Machiani, Sahar Ghanipoor, Ayoubi, Mohammad A., Nataraj, C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2017
Springer Nature B.V
Témata:
Algorithms
Butterfly valves
Computational fluid dynamics
Computational Mathematics and Numerical Analysis
Computer simulation
Dynamical systems
Engineering
Engineering Design
Fluid dynamics
Fluid flow
Fluid mechanics
Global optimization
Nonlinear dynamics
Pipes
Research Paper
Simulated annealing
Solenoids
Theoretical and Applied Mechanics
Trajectory optimization
Coupled operational optimization
Interconnected modeling
Pipe contraction
Smart actuated valve
ISSN:1615-147X, 1615-1488
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Shrnutí:In this paper, we focus on interconnected trajectory optimization of two sets of solenoid actuated butterfly valves dynamically coupled in series. The system undergoes different approach angles of a pipe contraction as a typical profile of the so-called “Smart Valves” network containing tens of actuated valves. A high fidelity interconnected mathematical modeling process is derived to reveal the expected complexity of such a multiphysics system dealing with electromagnetics, fluid mechanics, and nonlinear dynamic effects. A coupled operational optimization scheme is formulated in order to seek the most efficient trajectories of the interconnected valves minimizing the energy consumed enforcing stability and physical constraints. We examine various global optimization methods including Particle Swarm, Simulated Annealing, Genetic, and Gradient based algorithms to avoid being trapped in several possible local minima. The effect of the approach angles of the pipeline contraction on the amount of energy saved is discussed in detail. The results indicate that a substantial amount of energy can be saved by an intelligent operation that uses flow torques to augment the closing efforts.
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ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-016-1554-7