The Digital Twin Realization of an Ejector for Multiphase Flows
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Maurizio Bevilacqua | Giovanni Mazzuto | Filippo Emanuele Ciarapica | Marco Ortenzi | M. Bevilacqua | F. Ciarapica | G. Mazzuto | M. Ortenzi
[1] Wenjian Cai,et al. Shock circle model for ejector performance evaluation , 2007 .
[2] Seif-Eddeen K. Fateen,et al. Cuckoo Search: A new nature-inspired optimization method for phase equilibrium calculations , 2013 .
[3] Cai Wenjian,et al. Artificial neural network modeling for variable area ratio ejector , 2014, 2014 9th IEEE Conference on Industrial Electronics and Applications.
[4] Lei Yang,et al. Making sense of mechanical vibration period with sub-millisecond accuracy using backscatter signals , 2016, MobiCom.
[5] Donghyun Lee,et al. Numerical and experimental investigations of gas–liquid dispersion in an ejector , 2007 .
[6] Biplab Bhattacharyya,et al. Teaching Learning Based Optimization algorithm for reactive power planning , 2016 .
[7] Andrej-Nikolai Spiess,et al. An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach , 2010, BMC pharmacology.
[8] Dinghui Wu,et al. Convergence Analysis and Improvement of the Chicken Swarm Optimization Algorithm , 2016, IEEE Access.
[9] Russell C. Eberhart,et al. Human tremor analysis using particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[10] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[11] Xin-She Yang,et al. Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..
[12] El-Sayed A. Osman,et al. Artificial Neural Network Models for Identifying Flow Regimes and Predicting Liquid Holdup in Horizontal Multiphase Flow , 2004 .
[13] Adnan Sözen,et al. Exergy analysis of an ejector-absorption heat transformer using artificial neural network approach , 2007 .
[14] Moustafa Elshafei,et al. Artificial neural network application for multiphase flow patterns detection: A new approach , 2016 .
[15] Adel Nadjaran Toosi,et al. Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications , 2012, Artificial Intelligence Review.
[16] Xin-She Yang,et al. Bat algorithm: literature review and applications , 2013, Int. J. Bio Inspired Comput..
[17] Jae-Myung Lee,et al. Ejector performance prediction at critical and subcritical operational modes , 2017 .
[18] Thomas E. Milner,et al. Theoretical and experimental investigation of the motion of multiphase fluids containing paramagnetic nanoparticles in porous media , 2012 .
[19] S Nasseh,et al. Predicting pressure drop in venturi scrubbers with artificial neural networks. , 2007, Journal of hazardous materials.
[20] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[21] P. Micheau,et al. Dynamic modeling of an R245fa ejector based refrigeration system , 2019, International Journal of Refrigeration.
[22] Pei-Xue Jiang,et al. Experimental and numerical investigation of the effect of shock wave characteristics on the ejector performance , 2014 .
[23] I. Polgár,et al. A theoretical study on the relative standard deviation of TLD systems , 1983 .
[24] Stuart L. Scott,et al. A Neural Network Model for Prediction of Liquid Holdup in Two-Phase Horizontal Flow , 2002 .
[25] Lei Wang,et al. Optimization analysis of structure parameters of steam ejector based on CFD and orthogonal test , 2018 .
[26] Xiujuan Lei,et al. Application of artificial fish school algorithm in UCAV path planning , 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).
[27] Gerhard P. Hancke,et al. Ultrawideband as an Industrial Wireless Solution , 2006, IEEE Pervasive Computing.
[28] Evgeny Burnaev,et al. A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data , 2019, Journal of Petroleum Science and Engineering.
[29] Ping Zheng,et al. CFD simulation of two-phase ejector performance influenced by different operation conditions , 2018, Energy.
[30] Eduardo Camponogara,et al. Derivative-free parameter tuning for a well multiphase flow simulator , 2020 .
[31] Yuan He,et al. Pangu: Towards a Software-Defined Architecture for Multi-function Wireless Sensor Networks , 2017, 2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS).
[32] Michael Schluse,et al. From simulation to experimentable digital twins: Simulation-based development and operation of complex technical systems , 2016, 2016 IEEE International Symposium on Systems Engineering (ISSE).
[33] Chiheb Bouden,et al. A CFD analysis of the flow structure inside a steam ejector to identify the suitable experimental operating conditions for a solar-driven refrigeration system , 2014 .
[34] Yanxia Li,et al. Numerical study for the influences of primary nozzle on steam ejector performance , 2016 .
[35] Youyi Wang,et al. Modeling of a hybrid ejector air conditioning system using artificial neural networks , 2016 .
[36] Gilbert Habib,et al. Case study: WIRELESSHART vs ZIGBEE network , 2015, 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE).
[37] Cui Li,et al. Investigation of entrainment behavior and characteristics of gas–liquid ejectors based on CFD simulation , 2011 .
[38] Giovanni Mazzuto,et al. Empower Fuzzy Cognitive Maps Decision Making abilities with Swarm Intelligence Algorithms , 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).
[39] Mikhail Sorin,et al. Ejector design and performance prediction , 2016 .
[40] Marc Priggemeyer,et al. Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0 , 2018, IEEE Transactions on Industrial Informatics.
[41] Selcuk Okdem,et al. Cluster based wireless sensor network routing using artificial bee colony algorithm , 2010, Wireless Networks.
[42] Detlef Zühlke,et al. Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry , 2016 .
[43] Richart Vázquez-Román,et al. An approach to evaluate Venturi-device effects on gas wells production , 2014 .
[44] Adriano Milazzo,et al. CFD modeling of condensing steam ejectors: Comparison with an experimental test-case , 2018 .
[45] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[46] Guenther Fuellerer,et al. Ant colony optimization for the two-dimensional loading vehicle routing problem , 2009, Comput. Oper. Res..
[47] R. Azin,et al. Analysis of Pre-Darcy flow for different liquids and gases , 2018, Journal of Petroleum Science and Engineering.