Above lecture can be downloaded from www.zeusnumerix.com
The presentation aims to emphasize that the knowledge of fluid mechanics is essential to CFD simulation. How fluid mechanics helps us analyse the results is elaborated. The six steps of CFD are explained one by one from decision of computational domain, to meshing, BCs, simulation, visualization and analysis. Few examples of pitfalls in CFD simulations and references are given.
Unsteady Problems & Separation Studies @ Zeus NumerixAbhishek Jain
Above lecture can be downloaded from https://www.zeusnumerix.com
The presentation deals with advanced topics in simulation in lecture 2 of 4. The lecture aims at explaining the user, the specialized simulations required for unsteady flow. In the first part, simulation methodology and brief mathematical background is presented for unsteady flows. A detailed explanation is given for the multi-body problems. In these examples, the regeneration of mesh due to relative movement of the body is shown. Validation of the results is shown along with references.
CEM Workshop Lectures (11/11): CEMExpert Usage of Almond Geometry for RCS Cal...Abhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 11 of 11. The lecture is in form of a tutorial to simulate the Radar Cross Section (RCS) of Almond Geometry. This geometry is analytically proven to have a very small RCS. Special GUI is created to parameterize and create different almond shapes. Validation of the software is shown with the results shown for far-field cases. Though not shown, nearfield cases can also be solved.
CEM Workshop Lectures (3/11): Mesh Generation in CEMAbhishek Jain
This document discusses mesh generation in computational electromagnetics (CEM). It explains that meshes are required in CEM to discretize geometry and store field variable values. It describes different types of meshes, including structured, unstructured, and hybrid meshes. It emphasizes that high-quality meshes are important for accurate solutions and efficient simulations in CEM. Meshes must be refined enough to capture physics while balancing computational resources.
CEM Workshop Lectures (6/11): FVTD Method in CEMAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 6 of 11. The lecture explains the finite volume time-domain method and its implementation. The presentation explains the mathematical formulation of FVTD method and its advantages and disadvantages. Basic formulations are given for boundary conditions and higher-order discretization. Finally, examples are given for validation cases.
This document discusses fluid mechanics and computational fluid dynamics (CFD). It begins by explaining the importance of fluid mechanics in CFD and the branches of fluid mechanics, including theoretical, experimental, and computational. It then covers key aspects of CFD like the physics of incompressible and compressible flows, the computing power required for different CFD methods, and the six main steps in a CFD analysis. Finally, it discusses CFD as an engineering tool and its potential to reduce development costs by replacing physical testing.
This Master’s Thesis, A contribution towards the development of a Virtual Wind Tunnel (VWT), have been developed during the internship realised in the CIMNE(UPC) as part of the Master’s Program TACS, under the supervision of Eugenio Oñate Ibañez de Navarra and Riccardo Rossi.
A method for Fluid-Structure Interaction (FSI) has been developed employing a strong-coupled approach. This method brings modularity to the resolution, allowing to employ independent solvers for each domain. Additionally this approach employs a Jacobian Free Newton Krylov (JFNK) solver, which reduces the computational cost of the simulation, avoiding the storage and computation of the Jacobian matrix.
The possible applications for this FSI methodology could be for example aeroelastic analysis of slender civil engineering structures (bridges, tall buildings, large inflatable structures, etc).
The results obtained in this work have been obtained with Kratos and GiD, the finite element software and the pre and post processor developed in CIMNE, respectively. The additional tools or applications that were not available in Kratos have been implemented.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the compressible flow starting with the equations in the integral form. Fundamentals such as Mach cone, wave theory, CFL number and time marching are explained. The presentation ends with explanation of different schemes like flux vector splitting for obtaining the solution. The focus is on the explanation of the physical basis of all these terms.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the teminologies used by the solvers of incompressible flow. CFD basics of the pressure based schemes are explained. All the terminologies used in the simulation set-up from boundary conditions (BCs), turbulence models, discretizing schemes and residuals etc. CFD solvers such as SIMPLE, SIMPLER are explained. The reader should be able to set up simulation after the presentation.
Unsteady Problems & Separation Studies @ Zeus NumerixAbhishek Jain
Above lecture can be downloaded from https://www.zeusnumerix.com
The presentation deals with advanced topics in simulation in lecture 2 of 4. The lecture aims at explaining the user, the specialized simulations required for unsteady flow. In the first part, simulation methodology and brief mathematical background is presented for unsteady flows. A detailed explanation is given for the multi-body problems. In these examples, the regeneration of mesh due to relative movement of the body is shown. Validation of the results is shown along with references.
CEM Workshop Lectures (11/11): CEMExpert Usage of Almond Geometry for RCS Cal...Abhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 11 of 11. The lecture is in form of a tutorial to simulate the Radar Cross Section (RCS) of Almond Geometry. This geometry is analytically proven to have a very small RCS. Special GUI is created to parameterize and create different almond shapes. Validation of the software is shown with the results shown for far-field cases. Though not shown, nearfield cases can also be solved.
CEM Workshop Lectures (3/11): Mesh Generation in CEMAbhishek Jain
This document discusses mesh generation in computational electromagnetics (CEM). It explains that meshes are required in CEM to discretize geometry and store field variable values. It describes different types of meshes, including structured, unstructured, and hybrid meshes. It emphasizes that high-quality meshes are important for accurate solutions and efficient simulations in CEM. Meshes must be refined enough to capture physics while balancing computational resources.
CEM Workshop Lectures (6/11): FVTD Method in CEMAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 6 of 11. The lecture explains the finite volume time-domain method and its implementation. The presentation explains the mathematical formulation of FVTD method and its advantages and disadvantages. Basic formulations are given for boundary conditions and higher-order discretization. Finally, examples are given for validation cases.
This document discusses fluid mechanics and computational fluid dynamics (CFD). It begins by explaining the importance of fluid mechanics in CFD and the branches of fluid mechanics, including theoretical, experimental, and computational. It then covers key aspects of CFD like the physics of incompressible and compressible flows, the computing power required for different CFD methods, and the six main steps in a CFD analysis. Finally, it discusses CFD as an engineering tool and its potential to reduce development costs by replacing physical testing.
This Master’s Thesis, A contribution towards the development of a Virtual Wind Tunnel (VWT), have been developed during the internship realised in the CIMNE(UPC) as part of the Master’s Program TACS, under the supervision of Eugenio Oñate Ibañez de Navarra and Riccardo Rossi.
A method for Fluid-Structure Interaction (FSI) has been developed employing a strong-coupled approach. This method brings modularity to the resolution, allowing to employ independent solvers for each domain. Additionally this approach employs a Jacobian Free Newton Krylov (JFNK) solver, which reduces the computational cost of the simulation, avoiding the storage and computation of the Jacobian matrix.
The possible applications for this FSI methodology could be for example aeroelastic analysis of slender civil engineering structures (bridges, tall buildings, large inflatable structures, etc).
The results obtained in this work have been obtained with Kratos and GiD, the finite element software and the pre and post processor developed in CIMNE, respectively. The additional tools or applications that were not available in Kratos have been implemented.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the compressible flow starting with the equations in the integral form. Fundamentals such as Mach cone, wave theory, CFL number and time marching are explained. The presentation ends with explanation of different schemes like flux vector splitting for obtaining the solution. The focus is on the explanation of the physical basis of all these terms.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the teminologies used by the solvers of incompressible flow. CFD basics of the pressure based schemes are explained. All the terminologies used in the simulation set-up from boundary conditions (BCs), turbulence models, discretizing schemes and residuals etc. CFD solvers such as SIMPLE, SIMPLER are explained. The reader should be able to set up simulation after the presentation.
CFD Lecture (1/8): ZNTutor CFD- An IntroductionAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an introduction to the 2D Software ZNTutor-CFD. The software aims to train novice engineers and students in the basics of CFD. The software starts with codes for 1D algorithms to explain the concept of Stencil, Upwinding and CFL number. 2D Wizard problems are designed from basic fluid mechanics course. The problems are pre-programmed and user can solve it and in turn learn the CFD process and terminologies. Advanced users are allowed to create problems and solve them. The software is a freeware and can be downloaded from www.zeusnumerix.com
The document discusses computational fluid dynamics (CFD) and the Navier-Stokes equations. CFD uses the Navier-Stokes equations, which are partial differential equations that describe the conservation of mass, momentum, and energy in fluid flow. The Navier-Stokes equations are derived from these conservation principles. They form a system of equations that can be discretized and solved using computers to simulate fluid flow. Key terms and concepts discussed include the continuity, momentum, and energy equations; equations of state; Newtonian fluids; and the compressible and incompressible forms of the Navier-Stokes equations.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation deals with advanced topics in simulation in lecture 3 of 4. The lecture aims to introduce the user to optimization in CFD. Apart from explaining the usual CFD procedure, the presentation also showcases two case studies. In the first case study, an airfoil shape is optimized using the genetic algorithm approach. The 2D example shows the basics. A real-life 3D example of optimization of the winglet is shown. Variation in the aerodynamic performance of the winglet due to change in shape is elaborated. The optimization happens for bending moment and induced drag.
A Novel Nonlinear Control of Boost Converter using CCM Phase PlaneIJECEIAES
This document summarizes a research paper that proposes a novel nonlinear controller for a boost converter operating in continuous conduction mode (CCM). The controller is designed using phase plane analysis of the boost converter system in discrete time. Simulation results confirm that the proposed controller can stabilize the boost converter at the desired operating point from any initial condition while ensuring the system remains within the CCM region, addressing limitations of prior controllers.
This document provides an introduction to computational fluid dynamics (CFD). It defines CFD as using computer codes to solve a wide range of problems in fluid flow and heat transfer. CFD is described as a tool that can investigate and research fluid flow and heat transfer problems. The document then lists and provides examples of various industries where CFD is used, including aerospace, automotive, biomedical, chemical processing, and others. It also discusses advantages and limitations of CFD, important factors influencing CFD like computing power and numerical models, and how CFD is used in research and development.
A Novel Technique in Software Engineering for Building Scalable Large Paralle...Eswar Publications
Parallel processing is the only alternative for meeting computational demand of scientific and technological advancement. Yet first few parallelized versions of a large application code- in the present case-a meteorological Global Circulation Model- are not usually optimal or efficient. Large size and complexity of the code cause making changes for efficient parallelization and further validation difficult. The paper presents some novel techniques to enable change of parallelization strategy keeping the correctness of the code under control throughout the modification.
This document provides information about a Computational Fluid Dynamics course taught by Prof. Dr. RAO Yu at Shanghai Jiao Tong University. The course will cover fundamental CFD theories, techniques, and applications. Students will work in groups on projects and submit a final report making up 40-50% of their grade. The textbook is Computational Fluid Dynamics: A Practical Approach and lectures will introduce governing equations, numerical methods, discretization, and turbulence modeling. CFD can provide detailed flow field simulations to complement experimental and analytical approaches in engineering design and research.
CFD Lecture (3/8): Mesh Generation in CFDAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation aims to disseminate information on the various types of meshes/grids. Mathematical formulations are given to quantify the quality of meshes like skewness. Grid continuity basics are given along with details examples of how to make Delaunay mesh. Similar detailed example is given for the advancing front method. To summarize, the presentation aims to instill the sense that mesh quality is important for simulation accuracy
This document provides an overview of computational fluid dynamics (CFD) and the CFD analysis process. It discusses:
- What CFD is and how it helps with design by allowing engineers to simulate fluid flow and heat transfer.
- The typical steps in a CFD analysis, including defining the problem, preprocessing like meshing, solving the equations, and postprocessing the results.
- The governing equations that are solved in CFD, including conservation of mass, momentum, and energy.
- The inputs required from users like material properties, boundary conditions, initial conditions, and turbulence models.
- Key aspects of setting up the problem like selecting appropriate boundary conditions, initial conditions, and turbulence modeling
This document provides an overview of a Computational Fluid Dynamics (CFD) training course held from May 22-27, 2017 in Mumbai, India. The course will cover the basics of CFD including definitions, how CFD can help with design, the analysis process and steps, governing equations, input requirements, boundary and initial conditions, turbulence modeling, and numerical solution methods. The instructor has over 15 years of experience in hydraulic design engineering and will ensure attendees have a strong understanding of theoretical fluid dynamics and heat transfer needed to properly apply and interpret CFD simulations.
The document discusses computational methods for solving hydrodynamic lubrication problems. It begins by introducing Reynolds' equation, which relates the pressure field in a fluid to the geometry, velocities, and viscosity. The document then describes how the finite difference method can be used to computationally solve Reynolds' equation. Specifically, it discusses how a grid is placed over the domain, difference equations are used to approximate derivatives, and the resulting equations can be solved iteratively to find the pressure field. The document provides an example application to rectangular lubrication pads.
CFD is a critical tool for scramjet engine design and analysis because it is not possible through ground testing to exactly reproduce hypersonic flight conditions or measure all relevant properties. CFD is used to extrapolate ground test results to flight conditions, examine the effects of modeled conditions, and identify configurations through sensitivity studies. Current CFD for scramjet design uses 3D steady-state RAS with eddy viscosity turbulence models and reduced finite rate chemical kinetics. Limitations include uncertainty in turbulence modeling and inability to capture important unsteady effects. Advanced techniques like hybrid RAS/LES and PDF methods show promise but require significantly more computational resources.
Computational fluid dynamics (CFD) is a tool for analyzing systems involving fluid flow, heat transfer and associated phenomena like chemical reactions using computer-based simulations. It involves numerically solving the governing equations of fluid flow to model the flow of liquids and gases. CFD complements experimental and theoretical fluid dynamics by providing a cost-effective means of simulating real flows. It has various applications in aerospace, automotive, turbo machinery, power plants, buildings, environmental engineering, and biomedical areas.
Computational fluid dynamics (CFD) is a tool for analyzing systems involving fluid flow, heat transfer and associated phenomena like chemical reactions using computer-based simulations. It involves numerically solving the governing equations of fluid flow to model the flow of liquids and gases. CFD complements experimental and theoretical fluid dynamics by providing a cost-effective means of simulating real flows. It has various applications in aerospace, automotive, turbo machinery, power plants, buildings, environmental engineering, and biomedical areas.
Computational fluid dynamics (CFD) is a tool for analyzing systems involving fluid flow, heat transfer and associated phenomena like chemical reactions using computer-based simulations. It involves numerically solving the governing equations of fluid flow to model the flow of liquids and gases. CFD complements experimental and theoretical fluid dynamics by providing a cost-effective means of simulating real flows. It has various applications in aerospace, automotive, turbo machinery, power plants, buildings, environmental engineering, and biomedical areas.
This document describes the implementation of a pressure-based incompressible flow solver in the open-source CFD code SU2 for wind turbine applications. The solver uses a second-order finite volume method on unstructured grids with implicit and explicit time integration schemes. Two turbulence models (SST k-ω and Spalart-Allmaras) are available. The pressure-velocity coupling is handled using a SIMPLE-like algorithm with Rhie-Chow momentum interpolation to avoid checkerboarding of pressure. Standard test cases are used to verify the solver, which is then applied to study the effect of a vortex generator on a turbulent boundary layer.
Optimal Power Dispatch via Multistage Stochastic ProgrammingSSA KPI
This document describes a multistage stochastic programming model for optimal power dispatch in an electric power generation system with uncertain demand. The system includes thermal and pumped-storage hydro units. The model represents the on/off schedules and production levels of generating units as stochastic processes over a time horizon. The objective is to minimize expected fuel and startup costs subject to technical constraints. Lagrangian relaxation is proposed to decompose the problem into single-unit subproblems to improve tractability for large systems. For fixed on/off decisions, an efficient algorithm is presented to solve the economic dispatch problem of allocating production optimally across units. Computational results demonstrate the performance of the algorithm.
This document provides an overview of computational fluid dynamics (CFD). It defines CFD as using computer simulations to predict fluid flow phenomena by modeling continuous fluids with partial differential equations. The document outlines where CFD is used in various industries like aerospace, automotive, biomedical, and more. It also discusses the physics, modeling, numerics, and overall CFD process involved in simulations. Examples are given of mesh generation and CFD being used to analyze problems like bottle filling.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the teminologies used by the solvers of compressible flow. The presentation is based on the CGNS system. Differences between boundary conditions (BCs), labels, tags,and flow type, etc are enumerated. Different CFD schemes, turbulence models, domain motion are explained. At the end, user should be able to set up a compressible flow presentation.
The document discusses a robust hp-adaptation method for discontinuous Galerkin discretizations applied to aerodynamic flows. It presents a constrained pseudo-transient continuation approach to enforce physical realizability constraints during the solution process. It also describes output-based error estimation techniques to drive anisotropic hp-mesh adaptation and identify regions important for accurate output prediction. The goal is to obtain quantitatively reliable computational fluid dynamics solutions on coarse grids for engineering analysis applications.
Aero Acoustic Field & its Modeling @ Zeus NumerixAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation deals with advanced topics in simulation in lecture 1 of 4. This is an elaborate lecture dealing with the field of aeroacoustics and its computational aspects. The lecture is very comprehensive and covers advanced topics like acoustics stealth, how computational aeroacoustics (CAA) is a special form of CFD and propagation of sound. Rigorous mathematical formulations are given like Fourier transform, Lighthill analogy, and equations by other scientists. Some practical examples are solved for the user.
CEM Workshop Lectures (10/11): Numerical Modeling of Radar Absorbing MaterialsAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 10 of 11. The lecture aims to explain the method of modelling the Radar Absorbing Material (RAM). RAM is coated on aerospace or marine vehicle to reduce the radar cross-section. Most part of the lecture covers the effective medium theory and simulation of simple shapes to understand the theory. Alternative methods are elaborated along with few examples of comparison.
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CFD Lecture (1/8): ZNTutor CFD- An IntroductionAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an introduction to the 2D Software ZNTutor-CFD. The software aims to train novice engineers and students in the basics of CFD. The software starts with codes for 1D algorithms to explain the concept of Stencil, Upwinding and CFL number. 2D Wizard problems are designed from basic fluid mechanics course. The problems are pre-programmed and user can solve it and in turn learn the CFD process and terminologies. Advanced users are allowed to create problems and solve them. The software is a freeware and can be downloaded from www.zeusnumerix.com
The document discusses computational fluid dynamics (CFD) and the Navier-Stokes equations. CFD uses the Navier-Stokes equations, which are partial differential equations that describe the conservation of mass, momentum, and energy in fluid flow. The Navier-Stokes equations are derived from these conservation principles. They form a system of equations that can be discretized and solved using computers to simulate fluid flow. Key terms and concepts discussed include the continuity, momentum, and energy equations; equations of state; Newtonian fluids; and the compressible and incompressible forms of the Navier-Stokes equations.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation deals with advanced topics in simulation in lecture 3 of 4. The lecture aims to introduce the user to optimization in CFD. Apart from explaining the usual CFD procedure, the presentation also showcases two case studies. In the first case study, an airfoil shape is optimized using the genetic algorithm approach. The 2D example shows the basics. A real-life 3D example of optimization of the winglet is shown. Variation in the aerodynamic performance of the winglet due to change in shape is elaborated. The optimization happens for bending moment and induced drag.
A Novel Nonlinear Control of Boost Converter using CCM Phase PlaneIJECEIAES
This document summarizes a research paper that proposes a novel nonlinear controller for a boost converter operating in continuous conduction mode (CCM). The controller is designed using phase plane analysis of the boost converter system in discrete time. Simulation results confirm that the proposed controller can stabilize the boost converter at the desired operating point from any initial condition while ensuring the system remains within the CCM region, addressing limitations of prior controllers.
This document provides an introduction to computational fluid dynamics (CFD). It defines CFD as using computer codes to solve a wide range of problems in fluid flow and heat transfer. CFD is described as a tool that can investigate and research fluid flow and heat transfer problems. The document then lists and provides examples of various industries where CFD is used, including aerospace, automotive, biomedical, chemical processing, and others. It also discusses advantages and limitations of CFD, important factors influencing CFD like computing power and numerical models, and how CFD is used in research and development.
A Novel Technique in Software Engineering for Building Scalable Large Paralle...Eswar Publications
Parallel processing is the only alternative for meeting computational demand of scientific and technological advancement. Yet first few parallelized versions of a large application code- in the present case-a meteorological Global Circulation Model- are not usually optimal or efficient. Large size and complexity of the code cause making changes for efficient parallelization and further validation difficult. The paper presents some novel techniques to enable change of parallelization strategy keeping the correctness of the code under control throughout the modification.
This document provides information about a Computational Fluid Dynamics course taught by Prof. Dr. RAO Yu at Shanghai Jiao Tong University. The course will cover fundamental CFD theories, techniques, and applications. Students will work in groups on projects and submit a final report making up 40-50% of their grade. The textbook is Computational Fluid Dynamics: A Practical Approach and lectures will introduce governing equations, numerical methods, discretization, and turbulence modeling. CFD can provide detailed flow field simulations to complement experimental and analytical approaches in engineering design and research.
CFD Lecture (3/8): Mesh Generation in CFDAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation aims to disseminate information on the various types of meshes/grids. Mathematical formulations are given to quantify the quality of meshes like skewness. Grid continuity basics are given along with details examples of how to make Delaunay mesh. Similar detailed example is given for the advancing front method. To summarize, the presentation aims to instill the sense that mesh quality is important for simulation accuracy
This document provides an overview of computational fluid dynamics (CFD) and the CFD analysis process. It discusses:
- What CFD is and how it helps with design by allowing engineers to simulate fluid flow and heat transfer.
- The typical steps in a CFD analysis, including defining the problem, preprocessing like meshing, solving the equations, and postprocessing the results.
- The governing equations that are solved in CFD, including conservation of mass, momentum, and energy.
- The inputs required from users like material properties, boundary conditions, initial conditions, and turbulence models.
- Key aspects of setting up the problem like selecting appropriate boundary conditions, initial conditions, and turbulence modeling
This document provides an overview of a Computational Fluid Dynamics (CFD) training course held from May 22-27, 2017 in Mumbai, India. The course will cover the basics of CFD including definitions, how CFD can help with design, the analysis process and steps, governing equations, input requirements, boundary and initial conditions, turbulence modeling, and numerical solution methods. The instructor has over 15 years of experience in hydraulic design engineering and will ensure attendees have a strong understanding of theoretical fluid dynamics and heat transfer needed to properly apply and interpret CFD simulations.
The document discusses computational methods for solving hydrodynamic lubrication problems. It begins by introducing Reynolds' equation, which relates the pressure field in a fluid to the geometry, velocities, and viscosity. The document then describes how the finite difference method can be used to computationally solve Reynolds' equation. Specifically, it discusses how a grid is placed over the domain, difference equations are used to approximate derivatives, and the resulting equations can be solved iteratively to find the pressure field. The document provides an example application to rectangular lubrication pads.
CFD is a critical tool for scramjet engine design and analysis because it is not possible through ground testing to exactly reproduce hypersonic flight conditions or measure all relevant properties. CFD is used to extrapolate ground test results to flight conditions, examine the effects of modeled conditions, and identify configurations through sensitivity studies. Current CFD for scramjet design uses 3D steady-state RAS with eddy viscosity turbulence models and reduced finite rate chemical kinetics. Limitations include uncertainty in turbulence modeling and inability to capture important unsteady effects. Advanced techniques like hybrid RAS/LES and PDF methods show promise but require significantly more computational resources.
Computational fluid dynamics (CFD) is a tool for analyzing systems involving fluid flow, heat transfer and associated phenomena like chemical reactions using computer-based simulations. It involves numerically solving the governing equations of fluid flow to model the flow of liquids and gases. CFD complements experimental and theoretical fluid dynamics by providing a cost-effective means of simulating real flows. It has various applications in aerospace, automotive, turbo machinery, power plants, buildings, environmental engineering, and biomedical areas.
Computational fluid dynamics (CFD) is a tool for analyzing systems involving fluid flow, heat transfer and associated phenomena like chemical reactions using computer-based simulations. It involves numerically solving the governing equations of fluid flow to model the flow of liquids and gases. CFD complements experimental and theoretical fluid dynamics by providing a cost-effective means of simulating real flows. It has various applications in aerospace, automotive, turbo machinery, power plants, buildings, environmental engineering, and biomedical areas.
Computational fluid dynamics (CFD) is a tool for analyzing systems involving fluid flow, heat transfer and associated phenomena like chemical reactions using computer-based simulations. It involves numerically solving the governing equations of fluid flow to model the flow of liquids and gases. CFD complements experimental and theoretical fluid dynamics by providing a cost-effective means of simulating real flows. It has various applications in aerospace, automotive, turbo machinery, power plants, buildings, environmental engineering, and biomedical areas.
This document describes the implementation of a pressure-based incompressible flow solver in the open-source CFD code SU2 for wind turbine applications. The solver uses a second-order finite volume method on unstructured grids with implicit and explicit time integration schemes. Two turbulence models (SST k-ω and Spalart-Allmaras) are available. The pressure-velocity coupling is handled using a SIMPLE-like algorithm with Rhie-Chow momentum interpolation to avoid checkerboarding of pressure. Standard test cases are used to verify the solver, which is then applied to study the effect of a vortex generator on a turbulent boundary layer.
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This document describes a multistage stochastic programming model for optimal power dispatch in an electric power generation system with uncertain demand. The system includes thermal and pumped-storage hydro units. The model represents the on/off schedules and production levels of generating units as stochastic processes over a time horizon. The objective is to minimize expected fuel and startup costs subject to technical constraints. Lagrangian relaxation is proposed to decompose the problem into single-unit subproblems to improve tractability for large systems. For fixed on/off decisions, an efficient algorithm is presented to solve the economic dispatch problem of allocating production optimally across units. Computational results demonstrate the performance of the algorithm.
This document provides an overview of computational fluid dynamics (CFD). It defines CFD as using computer simulations to predict fluid flow phenomena by modeling continuous fluids with partial differential equations. The document outlines where CFD is used in various industries like aerospace, automotive, biomedical, and more. It also discusses the physics, modeling, numerics, and overall CFD process involved in simulations. Examples are given of mesh generation and CFD being used to analyze problems like bottle filling.
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the teminologies used by the solvers of compressible flow. The presentation is based on the CGNS system. Differences between boundary conditions (BCs), labels, tags,and flow type, etc are enumerated. Different CFD schemes, turbulence models, domain motion are explained. At the end, user should be able to set up a compressible flow presentation.
The document discusses a robust hp-adaptation method for discontinuous Galerkin discretizations applied to aerodynamic flows. It presents a constrained pseudo-transient continuation approach to enforce physical realizability constraints during the solution process. It also describes output-based error estimation techniques to drive anisotropic hp-mesh adaptation and identify regions important for accurate output prediction. The goal is to obtain quantitatively reliable computational fluid dynamics solutions on coarse grids for engineering analysis applications.
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Above lecture can be downloaded from www.zeusnumerix.com
The presentation deals with advanced topics in simulation in lecture 1 of 4. This is an elaborate lecture dealing with the field of aeroacoustics and its computational aspects. The lecture is very comprehensive and covers advanced topics like acoustics stealth, how computational aeroacoustics (CAA) is a special form of CFD and propagation of sound. Rigorous mathematical formulations are given like Fourier transform, Lighthill analogy, and equations by other scientists. Some practical examples are solved for the user.
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Above lecture can be downloaded from www.zeusnumerix.com
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Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 9 of 11. The lecture aims to introduce the user to basic mathematics of modeling of EM field. Equations and/or their solutions are given for Plane wave, Lorentz guage, scalar and vector potential etc. Microwave propagation, antenna fields, vector wave equations and their boundary conditions are given. The final part of the lecture gives basics of Radar Cross Section and references.
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Above lecture can be downloaded from www.zeusnumerix.com
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Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 7 of 11. The lecture elaborates the PO-PTD scheme for simulating for the radar cross-section. The formulation works for objects of large electrical size. Software GUI is shown for the pre-processing of data, the input of boundary conditions and the post-processing of result. Simulations can be set up for entire 360 deg azimuth sweep. Polar plot of RCS is displayed for the entire sweep.
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Above lecture can be downloaded from www.zeusnumerix.com
Computational Electromagnetics Workshop Lecture 4 of 11. The lecture focuses on the CEM methods used for high-frequency incident radiation. The methods explained are Geometric Optics and Physical Optics. PO-PTD and GO-GTD methods are mainly used for large objects where time-domain methods will be very expensive. Mathematical modeling, pitfalls and modifications to these methods are discussed.
CEM Workshop Lectures (1/11): ABC of CEM and RCSAbhishek Jain
This document provides an introduction to computational electromagnetics (CEM) and predicting radar cross section (RCS) of aerial targets. It covers basics of electromagnetic waves, stealth technologies, RCS of simple shapes and aircraft, factors affecting RCS, and demonstrations for calculating RCS. The training is intended for beginners to understand foundations and methods of RCS prediction, but not for developing own applications or using proprietary software.
CFD Lecture (8/8): CFD in Chemical SystemsAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation aims at explaining to the user the simulations that happen in the chemical industry. These simulations are characterized by the chemical reactions, mixing of fluids, particle flow etc. The standard NS equations requirement introduction of source terms and special methods for CFD simulations and these have been introduced.
CFD Lecture (7/8): Best Practices in CFDAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation gives an overview of the guidelines that the user needs to follow to get accurate results from CFD. Initial part of the presentation emphasizes that the mesh quality largely affects the solution accuracy. Meshing guidelines for flows are written. Use of proper boundary conditions and initial conditions is elaborated.
Revisiting Projection Methods over Automatic Oct-tree MeshesAbhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
This research aims to use projection methods over automatic oct-tree meshes. This algorithm uses a quick and automatic method to create solver and geometry adaptive oct-tree mesh on a basic Cartesian grid. The non-body fitted type of mesh is independent of geometry topology. The method takes multiple water tight triangulated surface(s) as an input. The software then automatically creates oct-tree based Cartesian grids both outside as well as inside the geometry. The intersection of the cells with the triangles of the geometry is done using a very robust and efficient polygon clipping algorithm allowing the capture of geometry with 100% accuracy. Simulation results show promise while solving simple cases. The mesher can be potentially used for shape optimization and aerodynamic sensitivity simulations. Author - Bharat Agrawal and Saurabh Pandey (Zeus Numerix)
CFD Study on Controlling Aerosol Dispersion Inside Closed Ventilated SpacesAbhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The white paper aims to study the effect of reopening of offices in the pandemic. ASHRAE guidelines on infectious aerosols recommend CFD studies of each office for analysing the flow pattern. The study compares the flow patterns for (a) office working in normal condition (b) working with 50% capacity (c) with full capacity and local exhaust ventilation (LEV) (d) LEV and ventilation system modification. Studies show that LEVs or air purifiers are more effective than social distancing in office conditions. The location of LEVs is dependent on the particular office.
Automatic Target Recognition Using Recurrent Neural NetworksAbhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
Automatic target recognition (ATR) using recurrent neural networks (RNN) is being proposed in this work. When electromagnetic waves from radar illuminate the targets, surface currents are produced which result in scattering of incident energy. The scattered signal in the direction of radar is received as the radar signature of the target. The radar cross-section (RCS) is an important feature extracted from the radar signature that is used for target identification. The RCS values for each set of azimuth and elevation angles for a mono-static configuration serves the purpose of the dataset for the recurrent neural network (RNN)/long short-term memory (LSTM) model. The classification accuracy of 93 per cent was achieved using the RNN/LSTM model. Authors - Sumit Jana (Zeus Numerix), Prof H Shekhawat and Bharat Sehgal (IITG)
An Approach of Minimizing Dust Ingress Problem in an Open VehicleAbhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims at finding the cause of dust ingress in an SUV from the rear door. The problem aggravates when driver window is open. CFD analysis reveals the presence of vortices from the chassis. These become more prominent when the drive window is open providing more suction. Design changes in the chassis have been suggested to alleviate the issue of vortices with no change to the existing manufacturing process. Author - Abhishek Jain (Zeus Numerix), Prof U Gaitonde (IIT Bombay)
Simulations Of Unsteady Flow Around A Generic Pickup Truck Using Reynolds Ave...Abhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims to replicate the wind tunnel test of General Motors pick-up truck using CFD analysis. The pickup is a blunt body and simulation reveals vortex shedding from the edges of the vehicle downstream. The unsteadiness of this phenomenon is seen in the oscillation of residue. The paper shows matching of velocity magnitude downstream of the vortex. Authors - Bahram Khalighi (GM, USA), Basant Gupta et al Zeus Numerix.
CFD Studies of Blended Wing Body Configuration for High Angles of Attack -- Z...Abhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
Blended Wing Body (BWB) configurations offer a unique advantage of generating lift from the fuselage. The research paper aims to study several configurations aerodynamically for the viability of use in actual flight. The code is validated using the configuration from UiTM Malaysia. Simulations are performed at high angles of attack ranging from 20 deg to 40 deg. Good agreement is seen in RANS CFD and low speed wind tunnel data. The comparison gives confidence that BWB can be simulated at high angles of attack. Authors - Irshad Khan and Deepak Patil (Zeus Numerix), DN Santhosh (SDM CoE)
Development of Software for Sizing of Axial Flow Fans -- Zeus NumerixAbhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims to showcase the development of software for the aerodynamic design of cooling tower fans. The software inputs requirements from the user and outputs the 3D CAD of an optimized fan. The software calculates power consumption, efficiency, torque, and sound level of the fan. The software has been found to overpredict the performance by few percentage points due to uncertainty in manufacturing. Authors - Abhishek Jain (Zeus Numerix), Ketan Bhokray (IIT Bombay)
Static Aeroelasticity Analysis of Spinning Rocket for Divergence Speed -- Zeu...Abhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims to develop a method to model the spin effects of rocket for Aeroelastic analysis. As the speed of the rocket increases, the structural integrity of the fins becomes more dependent on aeroelastic loads. Methods exist to analyze aeroelasticity of fins for non-spinning missiles. Most software use panel methods for calculation of load distribution. The current research replaces the panel methods to RANS CFD and introduces source terms in equations to model spin. The results of new formulation are validated w.r.t. published data on non-spinning projectile and then the method is used to simulate current projectile. Mode shapes up to 6th mode are delivered as result. Authors - Sanjay Kumar and Prof GR Shevare (Zeus Numerix), Subhash Mukane and PT Rojatkar (ARDE, DRDO)
Effect of Geometry on Variation of Heat Flux and Drag for Launch Vehicle -- Z...Abhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims at studying the variation of the geometry of the launch vehicle nose and its effect on heat flux. CFDExpert software is first validated on NASA's hyperballistic model and then used on proposed geometries. Various nose radius and blending shapes are studied for effect on drag and heat flux. Cone ogive shape is found to decrease heat flux with an insignificant increase in drag. Authors Abhishek Jain (Zeus Numerix), Rohan Kedar and Prof V Kalamkar (SPCOE).
Numerical Simulation Over Flat-Disk Aerospike at Mach 6Abhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims to study the effect of Aerospikes on hypersonic missiles in the reduction of drag and heat flux. Parametric study if the aerospike geometry has been carried out by varying the L/D ratio of the spike. The results have been compared with experimental data at Mach 6. Up to 73.6% decrease in drag is seen at zero angles of attack. The reduction becomes lesser at higher angles of attack. There is a significant increase in pitching moment at an angle of attack and this needs to be further studied. Authors - Vivek Warade (Zeus Numerix), Rahul Pawar and Prof NR Gilke (KJ Somaiya COE)
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
1. 1Built-to-Spec | Product Approval | Engineering Services | Software Development
Fluid Mechanics: CFD Perspective
Fluid mechanics primer (initial thoughts) for CFD
and equations of CFD and uses
Prof Anil W Date
Mechanical Engineering, IIT Bombay