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

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Abstract

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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References

  • Baek-Ju S, Eun-Woong L (2005) Optimal design and speed increasing method of solenoid actuator using a non-magnetic ring. In: International conference on power electronics and drives systems, pp 1140–1145

  • Bennett C O, Myers J E (1962) Momentum, heat, and mass transfer. McGraw-Hill, New York

    Google Scholar 

  • Cerny V (1985) Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. J Optim Theory Appl 45(1):41–55. doi:10.1007/BF00940812

    Article  MathSciNet  MATH  Google Scholar 

  • Chakraborty I, Trawick D R, Jackson D, Mavris D (2013) Electric control surface actuator design optimization and allocation for the more electric aircraft. In: 2013 aviation technology, integration, and operations conference

  • Elka A, Bucher I (2009) Optimal electrode shaping for precise modal electromechanical filtering. Struct Multidiscip Optim 38(6):627–641

    Article  Google Scholar 

  • Grierson D E, Pak W H (1993) Optimal sizing, geometrical and topological design using a genetic algorithm. Structural Optimization 6(3):151–159

    Article  Google Scholar 

  • Holland HJ (1975) Adaptation in natural and artificial systems. Adaptation in Natural and Artificial Systems, Cambridge

    Google Scholar 

  • Hughes R, Balestrini S, Kelly K, Weston N, Mavris D (2006) Modeling of an integrated reconfigurable intelligent system (IRIS) for ship design. In: Proceedings of the 2006 ASNE ship and ship systems technology (S3T) symposium

  • Kajima T (1995) Dynamic model of the plunger type solenoids at deenergizing state. IEEE Trans Magn 31 (3):2315–2323

    Article  Google Scholar 

  • Karr CL, Scott DA (2003) Genetic algorithm frequency domain optimization of an anti-resonant electromechanical controller. Lecture Notes in Computer Science

  • Kelley C T (1999) Iterative methods for optimization. Front Appl Math 18

  • Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, pp 1942–1948

  • Kirkpatrick S, Gelatt C D, Vecchi M P (1983) Optimization by simulated annealing. Science 220 (4598):671–680. doi:10.1126/science.220.4598.671 10.1126/science.220.4598.671

    Article  MathSciNet  MATH  Google Scholar 

  • Klimovich V I (1997) On the optimal design of the form of hydroturbine impeller blades. Struct Multidiscip Optim 13(1):29–35

    Article  Google Scholar 

  • Lee K, Ortiz J L, Mohtadi M A, Park Y M (1988) Optimal operation of large-scale power systems. IEEE Trans Power Syst 3(2):413–420

    Article  Google Scholar 

  • Lequesne B, Henry R, Kamal M (1998) Magnavalve: a new solenoid configuration based on a spring-mass oscillatory system for engine valve actuation. GM Research Report E3-89

  • Leutwyler Z, Dalton C (2008) A CFD study of the flow field, resultant force, and aerodynamic torque on a symmetric disk butterfly valve in a compressible fluid. J Press Vessel Technol 130(2):021302

    Article  Google Scholar 

  • Mahdi S A (2014) Optimization of pid controller parameters based on genetic algorithm for non-linear electromechanical actuator. Int J Comput Appl 94:11–20

  • Massey B S, Ward-Smith J (1998) Mechanics of fluids, 7th edn. Taylor & Francis, London and New York

    Google Scholar 

  • Messine F, Nogarede B, Lagouanelle JL (1998) Optimal design of electromechanical actuators: a new method based on global optimization. IEEE Trans Magn 34(1):299–308

    Article  Google Scholar 

  • Mezyk A (1994) Minimization of transient forces in an electro-mechanical system. Struct Multidiscip Optim 8(4):251–256

    Article  Google Scholar 

  • Naseradinmousavi P (2012) Nonlinear modeling, dynamic analysis, and optimal design and operation of electromechanical valve systems. PhD thesis, Villanova University

  • Naseradinmousavi P (2015) A novel nonlinear modeling and dynamic analysis of solenoid actuated butterfly valves coupled in series. ASME J Dyn Syst Meas Control 137(1):014505

    Article  Google Scholar 

  • Naseradinmousavi P, Nataraj C (2011a) A chaotic blue sky catastrophe of butterfly valves driven by solenoid actuators. In: Proceedings of the ASME 2011 international mechanical engineering congress & exposition, IMECE2011/62608

  • Naseradinmousavi P, Nataraj C (2011b) Nonlinear mathematical modeling of butterfly valves driven by solenoid actuators. J Appl Math Model 35(5):2324–2335

  • Naseradinmousavi P, Nataraj C (2012) Transient chaos and crisis phenomena in butterfly valves driven by solenoid actuators. Commun Nonlinear Sci Numer Simul 17(11):4336–4345

    Article  MathSciNet  Google Scholar 

  • Naseradinmousavi P, Nataraj C (2013) Optimal design of solenoid actuators driving butterfly valves. ASME J Mech Des 135(9):094501

    Article  Google Scholar 

  • Naseradinmousavi P, Nataraj C (2015) Design optimization of solenoid actuated butterfly valves dynamically coupled in series. In: Proceedings of the ASME 2015 dynamic systems and control conference, vol 2: diagnostics and detection; drilling; dynamics and control of wind energy systems; energy harvesting; estimation and identification; flexible and smart structure control; fuels cells/energy storage; human robot interaction; hvac building energy management; industrial applications; intelligent transportation systems; manufacturing; mechatronics; modelling and validation; motion and vibration control applications, p V002T33A001

  • Naseradinmousavi P, Krstic M, Nataraj C (2016) Design optimization of dynamically coupled actuated butterfly valves subject to a sudden contraction. ASME J Mech Des 138(4):041402

    Article  Google Scholar 

  • Nowak L (2010) Optimization of the electromechanical systems on the basis of coupled field-circuit approach. Int J Comput Math Electr Electron Eng 20(1):39–52

    Article  MathSciNet  MATH  Google Scholar 

  • Park J Y, Chung M K (2006) Study on hydrodynamic torque of a butterfly valve. J Fluids Eng 128 (1):190–195

    Article  Google Scholar 

  • Raulli M, Maute K (2005) Topology optimization of electrostatically actuated microsystems. Struct Multidiscip Optim 30(5):342– 359

    Article  Google Scholar 

  • Sefkat G (2009) The design optimization of the electromechanical actuator. Struct Multidiscip Optim 37 (6):635–644

    Article  Google Scholar 

  • Shi Y, Eberhart RC (1998) A modified particle swarm optimizer. In: Proceedings of IEEE international conference on evolutionary computation, pp 69–73

  • Sung BJ, Lee EW, Kim HE (2002) Development of design program for on and off type solenoid actuator. In: Proceedings of the KIEE summer annual conference, vol B, pp 929–931

  • Yu H, Li G, Zhu F, Gui Q, Li R (2007) Research on optimal operation in large-scale steam piping system. Springer Berlin Heidelberg, Hangzhou and New York, chap Challenges of Power Engineering and Environment, pp 593–596

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Acknowledgments

The experimental work of this research was supported by Office of Naval Research Grant (N00014/2008/1/0435). We appreciate this grant and the advice and direction provided by Mr. Anthony Seman III, the program manager.

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Correspondence to Peiman Naseradinmousavi.

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Naseradinmousavi, P., Machiani, S.G., Ayoubi, M.A. et al. Coupled operational optimization of smart valve system subject to different approach angles of a pipe contraction. Struct Multidisc Optim 55, 1001–1015 (2017). https://doi.org/10.1007/s00158-016-1554-7

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  • DOI: https://doi.org/10.1007/s00158-016-1554-7

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