Sanal Flow Choking: A Paradigm Shift in Computational Fluid Dynamics Code Verification and Diagnosing Detonation and Hemorrhage in Real‐World Fluid‐Flow Systems

Abstract The discovery of Sanal flow choking is a scientific breakthrough and a paradigm shift in the diagnostics of the detonation/hemorrhage in real‐world fluid flow systems. The closed‐form analytical models capable of predicting the boundary‐layer blockage factor for both 2D and 3D cases at the Sanal flow choking for adiabatic and diabatic fluid flow conditions are critically reviewed here. The beauty and novelty of these models stem from the veracity that at the Sanal flow choking condition for diabatic flows all the conservation laws of nature are satisfied at a unique location, which allows for computational fluid dynamics (CFD) code verification. At the Sanal flow choking condition both the thermal choking and the wall‐friction‐induced flow choking occur at a single sonic fluid throat location. The blockage factor predicted at the Sanal flow choking condition can be taken as an infallible data for various in silico model verification, validation, and calibration. The 3D blockage factor at the Sanal flow choking is found to be 45.12% lower than the 2D case of a wall‐bounded diabatic fluid flow system with air as the working fluid. The physical insight of Sanal flow choking presented in this review article sheds light on finding solutions, through in silico experiments in base flow and nanoflows, for numerous unresolved problems carried forward over the centuries in physical, chemical, and biological sciences for humankind.

[1]  Zhi-gang Yang,et al.  Patient-specific Computational Hemodynamic Analysis for Interrupted Aortic Arch in an Adult: Implications for Aortic Dissection Initiation , 2019, Scientific Reports.

[2]  Timothy G. Trucano,et al.  Verification and validation benchmarks , 2008 .

[3]  Mohammed Jameel,et al.  Fully developed Darcy-Forchheimer mixed convective flow over a curved surface with activation energy and entropy generation , 2019, Comput. Methods Programs Biomed..

[4]  Joe Iannelli,et al.  An exact non‐linear Navier–Stokes compressible‐flow solution for CFD code verification , 2013 .

[5]  C. Hirsch,et al.  Numerical Computation of Internal and External Flows. By C. HIRSCH. Wiley. Vol. 1, Fundamentals of Numerical Discretization. 1988. 515 pp. £60. Vol. 2, Computational Methods for Inviscid and Viscous Flows. 1990, 691 pp. £65. , 1991, Journal of Fluid Mechanics.

[6]  Clarence O. E. Burg,et al.  Application of Richardson extrapolation to the numerical solution of partial differential equations , 2009 .

[7]  J. McEvoy,et al.  "Doctor, Should I Keep Taking an Aspirin a Day?" , 2019, The New England journal of medicine.

[8]  John E. Field,et al.  A study of the collapse of arrays of cavities , 1988, Journal of Fluid Mechanics.

[9]  C. Dolea,et al.  World Health Organization , 1949, International Organization.

[10]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[11]  V. S. Kumar Thermoviscoelastic Characterization of a Composite Solid Propellant Using Tubular Test , 2003 .

[12]  M. Lythgoe,et al.  Computational fluid dynamics with imaging of cleared tissue and of in vivo perfusion predicts drug uptake and treatment responses in tumours , 2018, Nature Biomedical Engineering.

[13]  C. Mei,et al.  Effects of thin plaque on blood hammer—An asymptotic theory , 2018 .

[14]  Toshiaki Setoguchi,et al.  Starting Transient Flow Phenomena in Inert Simulators of Solid Rocket Motors with Divergent Ports , 2006 .

[15]  Timothy G. Trucano,et al.  Verification and Validation in Computational Fluid Dynamics , 2002 .

[16]  S. Raghunathan,et al.  Fluid-Throat-Induced Shock Waves During the Ignition Transient of Solid Rockets , 2006 .

[17]  Christopher J. Roy,et al.  Review of code and solution verification procedures for computational simulation , 2005 .

[18]  H. K. Moffatt,et al.  Perspectives in Fluid Dynamics , 2002 .

[19]  J. Hoyt Laminar-turbulent transition in polymer solutions , 1977, Nature.

[20]  O. Bég,et al.  Transient peristaltic diffusion of nanofluids: A model of micropumps in medical engineering , 2018, Journal of Hydrodynamics.

[21]  Zanetti,et al.  Use of the Boltzmann equation to simulate lattice gas automata. , 1988, Physical review letters.

[22]  Toshiaki Setoguchi,et al.  Boundary-Layer Effects on Internal Flow Choking in Dual-Thrust Solid Rocket Motors , 2008 .

[23]  D. Jung,et al.  Numerical Studies on Cavitation and Surface Roughness , 2019, Key Engineering Materials.

[24]  J. Vassilicos,et al.  Comparison of turbulence profiles in high-Reynolds-number turbulent boundary layers and validation of a predictive model , 2017, Journal of Fluid Mechanics.

[25]  F. Millero,et al.  Isothermal compressibility of water at various temperatures , 1969 .

[26]  D. Atar,et al.  The myth of ‘stable’ coronary artery disease , 2019, Nature Reviews Cardiology.

[27]  Rahman Saidur,et al.  Application of Computational Fluid Dynamics (CFD) for nanofluids , 2012 .

[28]  P. Roache Code Verification by the Method of Manufactured Solutions , 2002 .

[29]  H Meng,et al.  CFD: Computational Fluid Dynamics or Confounding Factor Dissemination? The Role of Hemodynamics in Intracranial Aneurysm Rupture Risk Assessment , 2014, American Journal of Neuroradiology.

[30]  F. Millero,et al.  Compressibility of water as a function of temperature and pressure , 1973 .

[31]  A. Pandey,et al.  Boundary layer flow and heat transfer analysis on Cu-water nanofluid flow over a stretching cylinder with slip , 2017 .

[32]  Joseph W. Nichols,et al.  Vascular bursts enhance permeability of tumour blood vessels and improve nanoparticle delivery. , 2016, Nature nanotechnology.

[33]  M. Skonieczna,et al.  Choline supported poly(ionic liquid) graft copolymers as novel delivery systems of anionic pharmaceuticals for anti-inflammatory and anti-coagulant therapy , 2019, Scientific Reports.

[34]  J. Anderson,et al.  Modern Compressible Flow: With Historical Perspective , 1982 .

[35]  W. Lauterborn,et al.  Experimental investigations of cavitation-bubble collapse in the neighbourhood of a solid boundary , 1975, Journal of Fluid Mechanics.

[37]  Toshiyuki Hayase,et al.  Numerical simulation of real-world flows , 2015 .

[38]  H. Krier,et al.  Analysis of the chemically reacting laminar boundary layer during hybrid combustion , 1973 .

[39]  Deepak L. Bhatt,et al.  Dual-pathway inhibition for secondary and tertiary antithrombotic prevention in cardiovascular disease , 2020, Nature Reviews Cardiology.

[40]  A micro-scale simulation of red blood cell passage through symmetric and asymmetric bifurcated vessels , 2016, Scientific reports.

[41]  Cheng Yang,et al.  Data‐driven projection method in fluid simulation , 2016, Comput. Animat. Virtual Worlds.

[42]  H. B. Mathes,et al.  Pressure oscillations in post-Challenger Space Shuttle redesigned solid rocket motors , 1993 .

[43]  M. Packer Acute Heart Failure Is an Event Rather Than a Disease: Plea for a Radical Change in Thinking and in Therapeutic Drug Development. , 2018, JACC. Heart failure.

[44]  Hashim,et al.  Multiple physical aspects during the flow and heat transfer analysis of Carreau fluid with nanoparticles , 2018, Scientific Reports.

[45]  G. Hardiman,et al.  Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity , 2020, Nature Biomedical Engineering.

[46]  Guobiao Cai,et al.  Three-dimensional numerical and experimental studies on transient ignition of hybrid rocket motor , 2017 .

[47]  Gerhard Gompper,et al.  Computational models for active matter , 2019 .

[48]  Tasawar Hayat,et al.  Impact of Cattaneo–Christov heat flux model in flow of variable thermal conductivity fluid over a variable thicked surface , 2016 .

[49]  Khalid M. Saqr,et al.  The hemodynamic complexities underlying transient ischemic attacks in early-stage Moyamoya disease: an exploratory CFD study , 2020, Scientific Reports.

[50]  P. Roache QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS , 1997 .

[51]  Sulthan Ariff Rahman Mohamed Rafic,et al.  A closed-form analytical model for predicting 3D boundary layer displacement thickness for the validation of viscous flow solvers , 2018 .

[52]  Mechanical Characterization of a Thick-Walled Viscoelastic Hollow Cylinder under Multiaxial Stress Conditions , 2018 .

[53]  YangCheng,et al.  Data-driven projection method in fluid simulation , 2016 .

[54]  P. Thounthong,et al.  Entropy generation in bioconvection nanofluid flow between two stretchable rotating disks , 2020, Scientific Reports.

[55]  S. Balachandar,et al.  The generation of axial vorticity in solid-propellant rocket-motor flows , 2001, Journal of Fluid Mechanics.

[56]  M. Elimelech,et al.  Actinia-like multifunctional nanocoagulant for single-step removal of water contaminants , 2018, Nature Nanotechnology.

[57]  R. Sacco,et al.  Dabigatran for Prevention of Stroke after Embolic Stroke of Undetermined Source , 2019, The New England journal of medicine.

[58]  Ahmed Alsaedi,et al.  Entropy generation in flow with silver and copper nanoparticles , 2018 .

[59]  D. Joseph,et al.  Boundary-layer analysis for effects of viscosity of the irrotational flow on the flow induced by a rapidly rotating cylinder in a uniform stream , 2006, Journal of Fluid Mechanics.

[60]  A. Mebazaa Acute Heart Failure Deserves a Log-Scale Boost in Research Support: Call for Multidisciplinary and Universal Actions. , 2018, JACC. Heart failure.

[61]  Mohammed Jameel,et al.  Magnetohydrodynamics (MHD) radiated nanomaterial viscous material flow by a curved surface with second order slip and entropy generation , 2019, Comput. Methods Programs Biomed..

[62]  Ahmed Alsaedi,et al.  A comparative study of Casson fluid with homogeneous-heterogeneous reactions. , 2017, Journal of colloid and interface science.