Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants

In order to perceive the behavior presented by the multiphase chemical reactors, the ant colony optimization algorithm was combined with computational fluid dynamics (CFD) data. This intelligent algorithm creates a probabilistic technique for computing flow and it can predict various levels of three-dimensional bubble column reactor (BCR). This artificial ant algorithm is mimicking real ant behavior. This method can anticipate the flow characteristics in the reactor using almost 30 % of the whole data in the domain. Following discovering the suitable parameters, the method is used for predicting the points not being simulated with CFD, which represent mesh refinement of Ant colony method. In addition, it is possible to anticipate the bubble-column reactors in the absence of numerical results or training of exact values of evaluated data. The major benefits include reduced computational costs and time savings. The results show a great agreement between ant colony prediction and CFD outputs in different sections of the BCR. The combination of ant colony system and neural network framework can provide the smart structure to estimate biological and nature physics base phenomena. The ant colony optimization algorithm (ACO) framework based on ant behavior can solve all local mathematical answers throughout 3D bubble column reactor. The integration of all local answers can provide the overall solution in the reactor for different characteristics. This new overview of modelling can illustrate new sight into biological behavior in nature.

[1]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[2]  Zaher Mundher Yaseen,et al.  An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction , 2019, Journal of Hydrology.

[3]  Jyeshtharaj B. Joshi,et al.  CFD simulations of bubble column reactors: 1D, 2D and 3D approach , 2005 .

[4]  Shahaboddin Shamshirband,et al.  Review of Soft Computing Models in Design and Control of Rotating Electrical Machines , 2019, SSRN Electronic Journal.

[5]  Rajamani Krishna,et al.  Scale Effects on the Hydrodynamics of Bubble Columns Operating in the Homogeneous Flow Regime , 2001 .

[6]  Badie I. Morsi,et al.  Mass transfer characteristics in a large-scale slurry bubble column reactor with organic liquid mixtures , 2002 .

[7]  Hanning Li,et al.  Analysis of flow patterns in bubble and slurry bubble columns based on local heat transfer measurements , 2002 .

[8]  Tron Solberg,et al.  Numerical Simulation of the Gas-Liquid Flow in a Square Cross-Sectioned Bubble Column , 2000 .

[9]  M. Simonnet,et al.  CFD simulation of the flow field in a bubble column reactor: Importance of the drag force formulation to describe regime transitions , 2008 .

[10]  Chakravarthy Balaji,et al.  Optimal configuration of discrete heat sources in a vertical duct under conjugate mixed convection using artificial neural networks , 2009 .

[11]  Jing Tian,et al.  Wavelet-Based Image Interpolation Using a Three-Component Exponential Mixture Model , 2008 .

[12]  Muddassar Farooq,et al.  Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions , 2011, Inf. Sci..

[13]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..

[14]  Geoffrey W. Barton,et al.  Development of a CFD Model of Bubble Column Bioreactors: Part Two – Comparison of Experimental Data and CFD Predictions , 2014 .

[15]  Mohammad Pourtousi.  CFD modelling and anfis development for the hydrodynamics prediction of bubble column reactor ring sparger / Mohammad Pourtousi , 2016 .

[16]  Maurice A. Bergougnou,et al.  Hydrodynamics and local heat transfer measurements in a bubble column with suspension of yeast , 2001 .

[17]  Yatish T. Shah,et al.  Design parameters estimations for bubble column reactors , 1982 .

[18]  Ali Maroosi,et al.  A new clustering algorithm based on hybrid global optimizationbased on a dynamical systems approach algorithm , 2010, Expert Syst. Appl..

[19]  Michel Roustan,et al.  A comparative study of gas hold-up, bubble size, interfacial area and mass transfer coefficients in stirred gas–liquid reactors and bubble columns , 2001 .

[20]  Fahir Borak,et al.  Bubble column reactors , 2005 .

[21]  Guang Li,et al.  Modelling of mass transfer for gas-liquid two-phase flow in bubble column reactor with a bubble breakage model considering bubble-induced turbulence , 2019, Chemical Engineering Journal.

[22]  Antonio Delgado,et al.  Numerical investigation of the interphase forces and turbulence closure in 3D square bubble columns , 2014 .

[23]  Oscar Castillo,et al.  A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation , 2014, Expert Syst. Appl..

[24]  Ely Salwana,et al.  Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning , 2019, Engineering Applications of Computational Fluid Mechanics.

[25]  Yuan Zong,et al.  Computational Fluid Dynamics–Population Balance Modeling of Gas–Liquid Two-Phase Flow in Bubble Column Reactors With an Improved Breakup Kernel Accounting for Bubble Shape Variations , 2020 .

[26]  Vivek V. Ranade,et al.  Mixing in bubble column reactors: Role of unsteady flow structures , 2008 .

[27]  Hung-Ching Lu,et al.  Ant colony fuzzy neural network controller for cruising vessel on river , 2013 .

[28]  M Dorigo,et al.  Ant colonies for the travelling salesman problem. , 1997, Bio Systems.

[29]  Shahaboddin Shamshirband,et al.  State of the Art of Machine Learning Models in Energy Systems, a Systematic Review , 2019, Energies.

[30]  Yoshinori Kawase,et al.  Phenomenological model for bubble column reactors: prediction of gas hold-ups and volumetric mass transfer coefficients , 2000 .

[31]  Olivier Boutin,et al.  Bubble column reactors for high pressures and high temperatures operation , 2015 .

[32]  Shaoqing Wang,et al.  Gas holdup, liquid circulating velocity and mass transfer properties in a mini-scale external loop airlift bubble column , 2003 .

[33]  Jyeshtharaj B. Joshi,et al.  Computational flow modelling and design of bubble column reactors , 2001 .

[34]  Chuansheng Wang,et al.  Modelling and experimental study of hydrate formation kinetics of natural gas‐water‐surfactant system in a multi‐tube bubble column reactor , 2019, The Canadian Journal of Chemical Engineering.

[35]  H. Müller-Steinhagen,et al.  Effect of alcohol, organic acid and potassium chloride concentration on bubble size, bubble rise velocity and gas hold-up in bubble columns , 1992 .

[36]  H. C. Simpson.  Bubbles, drops and particles , 1980 .

[37]  Jaya Narayan Sahu,et al.  Prediction of multiphase flow pattern inside a 3D bubble column reactor using a combination of CFD and ANFIS , 2015 .

[38]  Christophe Guy,et al.  Characterization of bubble column hydrodynamics with local measurements , 1999 .

[39]  Shahaboddin Shamshirband,et al.  A combination of computational fluid dynamics (CFD) and adaptive neuro-fuzzy system (ANFIS) for prediction of the bubble column hydrodynamics , 2015 .

[40]  Zheng-Hong Luo,et al.  Modeling bubble column reactor with the volume of fluid approach: Comparison of surface tension models , 2019, Chinese Journal of Chemical Engineering.

[41]  Ch. Venkateswarlu,et al.  Mathematical and kinetic modeling of biofilm reactor based on ant colony optimization , 2010 .

[42]  Patrick R. McMullen,et al.  An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives , 2001, Artif. Intell. Eng..

[43]  H. E. Hoelscher,et al.  Bubble swarm characteristics in bubble columns , 1976 .

[44]  M. Otterbein,et al.  Interfacial area and volumetric mass transfer coefficient in a bubble reactor at elevated pressures , 2003 .

[45]  Lionel Amodeo,et al.  Bi-Objective Ant Colony Optimization approach to optimize production and maintenance scheduling , 2010, Comput. Oper. Res..

[46]  Jaya Narayan Sahu,et al.  Effect of bubble diameter size on prediction of flow pattern in Euler–Euler simulation of homogeneous bubble column regime , 2015 .

[47]  Abdullatif Ben-Nakhi,et al.  Neural networks analysis of free laminar convection heat transfer in a partitioned enclosure , 2007 .

[48]  François Bertrand,et al.  Multiscale multiphase phenomena in bubble column reactors: A review , 2019, Renewable Energy.

[49]  Chuntian Cheng,et al.  Three-person multi-objective conflict decision in reservoir flood control , 2002, Eur. J. Oper. Res..

[50]  Fabio Inzoli,et al.  Annular Gap Bubble Column: Experimental Investigation and Computational Fluid Dynamics Modeling , 2016 .

[51]  A. K. Verma,et al.  Studies on surface to bulk ionic mass transfer in bubble column , 2003 .

[52]  Amir Mosavi,et al.  Orthotropic mode II shear test fixture: Iosipesque modification , 2019, Engineering Solid Mechanics.

[53]  Abuzer Ozsunar,et al.  The prediction of maximum temperature for single chips’ cooling using artificial neural networks , 2009 .

[54]  Uwe Hampel,et al.  Intrinsic flow behavior in a slurry bubble column: A study on the effect of particle size , 2013 .

[55]  J. Markoš,et al.  Three-dimensional gas-liquid simulation of an airlift bubble column reactor , 2003 .

[56]  Nidal Hilal,et al.  Hydrodynamic studies in both bi-dimensional and three-dimensional bubble columns with a single sparger , 2003 .

[57]  Shahaboddin Shamshirband,et al.  Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran , 2018 .

[58]  Marcela K. Silva,et al.  Study of the interfacial forces and turbulence models in a bubble column , 2012, Comput. Chem. Eng..

[59]  Jaya Narayan Sahu,et al.  Effect of interfacial forces and turbulence models on predicting flow pattern inside the bubble column , 2014 .

[60]  Mandar Tabib,et al.  CFD simulation of bubble column—An analysis of interphase forces and turbulence models , 2008 .

[61]  N. H. Thomas,et al.  Homogeneous–heterogeneous regime transition in bubble columns , 2001 .

[62]  Vivek V. Ranade,et al.  Hydrodynamics of Bubble Column Reactors at High Gas Velocity: Experiments and Computational Fluid Dynamics (CFD) Simulations , 2007 .

[63]  Rajamani Krishna,et al.  Influence of scale on the hydrodynamics of bubble columns operating in the churn-turbulent regime: experiments vs. Eulerian simulations , 1999 .

[64]  S. Becker,et al.  Modelling and simulation of the dynamic flow behaviour in a bubble column , 2001 .

[65]  Dorothy Ndedi Monekosso,et al.  A review of ant algorithms , 2009, Expert Syst. Appl..

[66]  T. Rabczuk,et al.  Biodegradation of medicinal plants waste in an anaerobic digestion reactor for biogas production , 2018 .

[67]  L. Suganthi,et al.  Energy models for demand forecasting—A review , 2012 .

[68]  Wei Chen,et al.  Generalized dynamic modeling of local heat transfer in bubble columns , 2003 .

[69]  Patrick R. McMullen,et al.  Ant colony optimization techniques for the vehicle routing problem , 2004, Adv. Eng. Informatics.

[70]  Hongna Wang,et al.  CFD modeling of hydrodynamic characteristics of a gas–liquid two-phase stirred tank , 2014 .

[71]  T. Frank,et al.  The Favre Averaged Drag Model for Turbulent Dispersion in Eulerian Multi-Phase Flows , 2004 .

[72]  Clemens Merten,et al.  Bubble size distributions in a bubble column reactor under industrial conditions , 2002 .

[73]  Md. Jalil Piran,et al.  Survey of computational intelligence as basis to big flood management: challenges, research directions and future work , 2018 .

[74]  Abhishek Dutta,et al.  Effect of drag correlation and bubble‐induced turbulence closure on the gas hold‐up in a bubble column reactor , 2019, Journal of Chemical Technology & Biotechnology.

[75]  Gerhart Eigenberger,et al.  Gas—liquid flow in bubble columns and loop reactors: Part I. Detailed modelling and numerical simulation , 1994 .

[76]  Alfredo Iranzo,et al.  Numerical simulation of the gas–liquid flow in a laboratory scale bubble column: Influence of bubble size distribution and non-drag forces , 2008 .

[77]  Rajamani Krishna,et al.  Mass transfer in bubble columns , 2003 .

[78]  Antonio Delgado,et al.  Scale adaptive simulation of bubble column flows , 2015 .

[79]  Yong Kang,et al.  Dynamic characteristics of heat transfer coefficient in pressurized bubble columns with viscous liquid medium , 2002 .

[80]  Andrej Bombač,et al.  Void fraction distribution in a bisectional bubble column reactor , 2019, AIChE Journal.

[81]  Brian L. Smith,et al.  Large-eddy simulation (LES) of the large scale bubble plume , 2009 .

[82]  Hanning Li,et al.  Survey of heat transfer mechanisms in a slurry bubble column , 2001 .

[83]  Christian Blum,et al.  Ant colony optimization: Introduction and recent trends , 2005 .

[84]  Amir Mosavi,et al.  ANFIS pattern for molecular membranes separation optimization , 2019, Journal of Molecular Liquids.

[85]  Eckhard Krepper,et al.  CFD modeling of bubble-induced turbulence , 2013 .

[86]  B. Chandra Mohan,et al.  A survey: Ant Colony Optimization based recent research and implementation on several engineering domain , 2012, Expert Syst. Appl..

[87]  M. Simonnet,et al.  Experimental determination of the drag coefficient in a swarm of bubbles , 2007 .

[88]  Jyeshtharaj B. Joshi,et al.  Regime transition in bubble columns: experimental and predictions , 2004 .

[89]  D. Hempel,et al.  Liquid flow and phase holdup—measurement and CFD modeling for two-and three-phase bubble columns , 2002 .

[90]  Juan M. Corchado,et al.  Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches , 2013, Expert Syst. Appl..

[91]  A. E. Sáez,et al.  EFFECT OF OPERATING CONDITIONS ON GAS HOLDUP IN SLURRY BUBBLE COLUMNS WITH A FOAMING LIQUID , 1992 .

[92]  Baozhen Yao,et al.  Production , Manufacturing and Logistics An improved ant colony optimization for vehicle routing problem , 2008 .

[93]  Liang-Shih Fan,et al.  Maximum stable bubble size and gas holdup in high-pressure slurry bubble columns , 1999 .

[94]  Barrie M. Baker,et al.  A genetic algorithm for the vehicle routing problem , 2003, Comput. Oper. Res..

[95]  Oscar Castillo,et al.  Dynamic Fuzzy Logic Parameter Tuning for ACO and Its Application in the Fuzzy Logic Control of an Autonomous Mobile Robot , 2013 .

[96]  Geoffrey W. Barton,et al.  Development of a CFD Model of Bubble Column Bioreactors: Part One – A Detailed Experimental Study , 2013 .

[97]  Jyeshtharaj B. Joshi,et al.  CFD simulation of sparger design and height to diameter ratio on gas hold-up profiles in bubble column reactors , 2004 .

[98]  Shahaboddin Shamshirband,et al.  Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network , 2018 .

[99]  Elena Navarro,et al.  An emotionally biased ant colony algorithm for pathfinding in games , 2010, Expert Syst. Appl..

[100]  Tiefeng Wang,et al.  Experimental study and numerical simulation with a coupled CFD–PBM model of the effect of liquid viscosity in a bubble column , 2013 .

[101]  Fabio Inzoli,et al.  Computational fluid-dynamic modeling of the mono-dispersed homogeneous flow regime in bubble columns , 2018 .

[102]  Jihong Zhu,et al.  Ant estimator with application to target tracking , 2010, Signal Process..

[103]  V. Ranade,et al.  Eulerian-Lagrangian simulations of unsteady gas-liquid flows in bubble columns , 2006 .