# Numerical Modeling of Anode Baking Process with COMSOL Multiphysics

Size: px
Start display at page:

Transcription

1 Numerical Modeling of Anode Baking Process with COMSOL Multiphysics P. Nakate 1,2, W. Voogd de 3, D.J.P. Lahaye 1, C. Vuik 1, M. Talice 4 1. Department of applied mathematics, Delft University of technology, Netherlands 2. Aluminium and Chemie Rotterdam B. V., Netherlands 3. Faculty of science, Leiden University, Netherlands 4. pm2engineering, Cagliari, Italy Abstract The anode baking process has gained significant attention since the 1980s due to its importance in Aluminium industry. A good anode baking process strives to achieve multiple goals including reduction of NOx from emissions. NOx generation is mainly due to the high-temperature distribution around the burner and the air/fuel ratio. Therefore, understanding of the physical phenomena around the burner is of importance. The mathematical model in this respect can provide significant information. The underlying problem of NOx optimization in anode baking furnace is characterized by the different physics such as the turbulent flow of air and fuel, combustion of fuel and volatile matter, heat generation due to combustion process, conjugate heat transfer through walls and radiation. The objective of this work is to systematically develop the mathematical model of the anode baking process by considering all the physical phenomena. As a first step, turbulent flow model is developed with Spalart- Allmaras and k-ɛ turbulence models. In the subsequent model, a single step methane combustion reaction with eddy dissipation combustion model. In this model the effect of radiation is also checked by implementing P1 approximation model. The validation of results of turbulent flow model obtained by COMSOL Multiphysics is carried out by comparing with other simulation environment, namely, IB-Raptor code. The results of reactive flow model are still in progress. However, preliminary analysis provides reasonable agreement with expected finding. The effect of radiation is also observed by varying absorption coefficient of the participating medium. The model developed in this work is based on assuming boundary that lower the nonlinearity of equations. However, in order to compare results with actual furnace, tools that can resolve highly non-linear equations would be needed. Introduction Anodes are important in Aluminium industries as it accounts for 15% of the costs [1]. The anodes are mainly used in the extraction process of aluminium from bauxite in the Hall-Hѐroult process. The raw anodes usually referred to as green anodes have 85% of pitch and 15% of volatile matter [2]. In order to be efficient in the Hall-Hѐroult process, these anodes should have high mechanical strength, low reactivity in the process and should be highly conductive. In order to gain these properties, green anodes need to be baked. Therefore, the anode baking process has gained significant attention since 1980 s [2]. The anode baking process consists of multiple physical phenomena such as turbulent flow, combustion process, conjugate heat transfer, and radiation. The process is highly energy intensive as well as releases environmentally hazardous gases such as CO 2 and NO x. Therefore, an ideal anode baking process strives to achieve multiple goals such as reducing energy utilization, reduction in NOx, soot-free combustion and improving quality of anodes. This can be achieved by optimization of the process by mathematically modelling the interdependence of multiple physical phenomena. The mathematical modelling of the anode baking process has been developed and improved significantly in past years. The first attempt of mathematical simulation of horizontal flue ring furnace was performed by Bui et. al. in 1983 in which they treated furnace as counter-flow heat exchanger [3]. These early developed models form the basis of the models that are developed at the later stage. More recently, an advanced 3D transient model has been developed by Severo et. al. which can be used for optimization of flue design and furnace optimization [4]. Severo and Gusberti also developed a user-friendly software for the simulation of anode baking furnaces [1]. However, the optimization of burner design to study the NOx formations is not very clear. Oumarou et.al. in his recent work developed a dynamic process model of

2 anode baking furnace to investigate the effect of temperature variation in vertical component by considering a vertical component of flue gas [2], [5], [6]. However, the model is not able to provide the combine optimal of saving energy, reducing emissions and maintaining good anode quality. Meanwhile, Tajik et. al. developed a model using Ansys Fluent in which effect of flue wall design on the flow field, combustion and temperature has been presented [7], [8]. The finite volume method is used in Ansys Fluent. Whereas, COMSOL is based on the finite element method. It would be interesting to compare the results with two approaches. A compelling study have been performed by Grѐgoire and Gosselin, in which three combustion models have been compared for simulating anode baking furnace in Ansys Fluent [9]. However, the model that seems promising needs calibration which can be tricky. Therefore, a significant development has been done in the modelling of the anode baking process. However, the modelling that focuses on reducing NOx is still obscure. The main aim of the present work is to develop a model that focuses on reducing NOx emissions. COMSOL Multiphysics has been chosen for its capability of handling multiple physical phenomena. In the present paper, the turbulent flow model is developed as a first step. The results are validated by comparing with another simulation environment, i.e. IB-Raptor code developed by pm2engineering from Italy. The model is then extended by adding a single step combustion reaction of CH 4. Radiation being the important mode of transfer of heat in the process, is also added in the subsequent step. The results of the reactive flow model with radiation are not yet validated. However, they provide results that align with expected findings. Currently, an attempt to extend this model to 3D geometry is in process. Model Equations Anode baking process is characterized by multiple physical phenomena which can be translated into mathematical equations. However, in order to solve these equations, certain assumptions are needed that simplify these equations. These simplified equations form the basis of the numerical model. In this paper two models are described, wherein, the second model is the continuation of the first model. The first model describes the non-reactive turbulent flow of air and fuel (methane) which is validated by comparing with another simulation environment. Whereas, the second model outlines the single step reaction of methane and air, along with their mixing by the turbulent flow. The heat generated by the combustion process is accounted on the basis of the extent of reaction and heat of reaction. The model also defines the surface to surface transfer of heat through radiation. In this section, the established simplified models that are used in the present work are described. Reynolds-averaged Navier-Stokes equation (RANS) The flow of air and fuel in the anode baking process undergo significant fluctuations due to the presence of baffles and tie-bricks that are needed for the structural stability of the flue wall. Moreover, the high efficiency of the mixing of fuel and air is desired for effective combustion. The flow in the flue wall, therefore, are such that the flow is highly turbulent. Modelling turbulence is complex in its original form due to the complicated mathematical expressions. RANS equation, in this respect, can be of importance as it simplifies the equation by taking the time average of Navier- Stokes equation providing the mean flow equation. Here, the turbulence is classified into two components, namely, mean part and fluctuations. The quantity that defines these fluctuations in RANS equation is referred to as Reynolds stress. This term is related to the rate of deformation and is defined in terms of turbulent viscosity and average kinetic energy by Boussinesq. The Number of models are available that relate turbulent viscosity and average kinetic energy. In the present paper, two such turbulence models, namely, k-ε and Spalart- Allmaras model are studied. The k-ε turbulence model consists of two scalar transport equations, one for turbulent kinetic energy and another for turbulent energy dissipation rate. The Spalart-Allmaras model, whereas, solves for only one variable, i.e. undamped turbulent viscosity parameter. Apart from the number of variables that are solved, these turbulence models also differ in the way the flow is resolved near walls. The Spalart-Allmaras model being a low-reynolds number model, resolves the flow till the wall, whereas, the k-ε model uses wall functions to approximate flow near walls. This comparison is important in this research, as both turbulence models have relevance with respect to different goals of ideal anode baking process. Eddy dissipation model In the anode baking process, the air and fuel enter the furnace from the different inlets as well as at different time. Therefore, the combustion of fuel can be regarded as non-premixed. Different models are available that relates the rate of reaction in the turbulent flow. The rate can be either assumed to be

3 controlled by turbulent mixing or reaction time. The eddy dissipation model is the simplest form that defines the rate of reaction in terms of turbulent mixing. In this model, the reaction is assumed to occur at the infinitely fast rate. Therefore, turbulent mixing is the significant timescale for the rate of reaction. The reactive turbulent flow model in the present paper assumes the single step reaction of methane and the rate of reaction is governed by the eddy dissipation model. P1 approximation model Radiation is another important physical phenomena in the anode baking process due to the high temperature in the furnace. The effect of transfer of heat by radiation is expected to be significant in the model. P1 approximation model is one of the simplest models to calculate the total radiation intensity term from the radiative transfer equation. The radiation intensity is assumed to be isotropic in this model. This simplifies the model and reduces the computational costs. These three well-established models form the basis of the numerical models that are developed so far in the present work. The detailed explanation of these models can be found in the report [10]. Simulation details The anode baking process consists of multiple physical phenomena that are dependent on each other. COMSOL Multiphysics being a powerful tool for integrating multiple physics is used for numerically modelling the anode baking furnace. A 2D section from a heating zone is chosen as the geometry for both turbulent flow model and the continuation to reactive turbulent flow model with radiation. Figure 1 shows this geometry along with the inlet and outlet for air and fuel. Figure 1. Geometry along with the boundaries for two models in COMSOL Multiphysics For modelling the turbulent flow with k-ε turbulence model, Turbulent Flow, k-ε physics interface and, for Spalart-Allmaras model, Turbulent Flow, Spalart-Allmaras physics interface from the CFD module is chosen. The density of the air is modified according to the equation of state and is a function of pressure and temperature. The change in density of air due to mixing with fuel is not accounted for, in this model. Both turbulence models require user controlled boundary layer meshing so as to have desired wall resolution [11]. The splitting function is used to modify meshing near corners. The convergence behavior of simulations, especially in the case of the Spalart-Allmaras model, is highly affected by the elements at the boundaries and corners, due to high gradients at these points. In these models, the boundary are adjusted such that the non-linearity of the model is decreased. The initial and boundary for k-ε and Spalart-Allmaras model are as shown in the following Table 1. These boundary are motivated by the model developed in another simulation environment (IB Raptor code) that is used for validation. Table 1. Initial and Boundary for turbulent flow model Initial k-ε SA Velocity 0 Solution from k-eps model k and ε Undamped turbulent viscosity parameter Turbulence 7.07E-07 m 2 /s 2 and 1.10E E-04 m 2 /s m 2 /s 3 Boundary Air velocity at 1.3 m/s 1.3 m/s inlet 1 Fuel velocity at inlet 2 Turbulence at inlet 1 Turbulence at inlet 2 5 m/s 5 m/s k and ε Undamped turbulent viscosity parameter m 2 /s 2 and 7.437E m 2 /s 3 m 2 /s m 2 /s 2 and 7.437E m 2 /s 3 m 2 /s The steady state are implemented by using stationary solver. The default segregated solver with velocity and pressure as step 1 and

4 turbulent variables as step 2 is kept unchanged with MUMPS direct solver, with the default setting for both steps. The solver needs modification for initial CFL number. The mesh near boundaries is refined to such an extent that with higher CFL number, large oscillations are observed in the convergence plot resulting in the high residuals. Therefore, initial CFL number is set at 0.1. For the Spalart-Allmaras model, the default damping factor of 0.35 for step 2, that solves turbulence variable, is changed to 0.2 to achieve convergence. The change in the damping factor is not needed for the k-ε model. The sequential model includes a single step reaction of methane and oxygen from the air. The Transport of Concentrated Species physics interface from Chemical species transport module is used for modelling the combustion reaction. Five chemical species, namely, CH 4, O 2, CO 2, H 2O, and N 2 are considered in the model, N 2 being the chemical species used for a mass constraint. The density is governed by the ideal gas law with the temperature of 800 K as the model input. The flow is solved as described in the previous k-ε turbulent flow model and therefore, the convection velocity is based on the velocity field of the turbulent flow. The eddy dissipation model with an infinitely high forward rate constant and zero reverse rate constant is used so as the rate is defined by the turbulent mixing timescale. The reaction domain is assumed to be the complete 2D domain of the model. The initial and boundary for reactive flow are defined as shown in Table 2. Table 2. Initial and Boundary for mass fraction of chemical species in reactive flow model Initial Mass fraction Boundary Mass fraction at Inflow 1 Mass fraction at inflow 2 O2 CH4 CO2 H2O E-05 1E-05 1E-05 1E E-05 1E-05 The Heat Transfer in Fluids physics interface from Heat Transfer module is used for modelling the heat generated during the combustion process and transfer through radiation. Heat capacity at constant pressure for the mixture is defined based on the fraction of chemical species and heat capacity of the species at a particular temperature. Interpolation functions are used to obtain heat capacity at different temperatures for different species. Heat generated by the reaction is defined on the basis of the extent of reaction and heat of reaction as implemented in Round jet burner tutorial by COMSOL. Radiation in participating media is used to model heat transfer through radiation. The model is run for three values of absorption coefficient using parametric sweep to check its effect. The emissivity is assumed to be 0.6. The initial and boundary for heat transfer are defined as shown in Table 3. Table 3. Initial and Boundary for temperature and radiation variables in reactive flow model Temperature Emissivity (K) Initial Boundary Inflow Inflow Outflow 1 The sequential model is also solved for steady-state using stationary solver. The default segregated solver is implemented in which step 1 is for solving velocity and pressure, step 2 is for turbulence variables, step 3 is for mass fractions of chemical species and step 4 is for temperature and radiation variables. All steps use MUMPS direct solver with default settings. As in the previous model, damping factors and initial CFL number are modified. Results and discussion In this section, the results that are obtained by nonreactive turbulent flow model and reactive turbulent flow model with radiation are presented. It is observed that the numerical convergence of both models is strongly dependent on the mesh, especially the mesh near boundaries. All results are obtained by COMSOL Multiphysics version 5.3. Non-reactive turbulent flow model The comparison of Spalart-Allmaras model and the k-ε model is the main highlight of the non-reactive turbulence flow model which is presented in the previous paper [11]. As mentioned earlier, this comparison is of importance as both models have their own advantages in the modelling of anode baking process. In the COMSOL Multiphysics, wall functions are used as a boundary condition for walls in k-ε model, whereas, the Spalart-Allmaras model does not take that approximation and

5 completely resolves the flow field near walls. In this section, the results of the flow field generated by the Spalart-Allmaras model are presented. To validate the non-reactive flow model, the results are compared with different simulation environments, IB-Raptor code developed by pm2engineering from Italy. The model of IB Raptor code uses Spalart-Allmaras model. In order to have a concrete comparison, a horizontal line at 93.5% height from the bottom is chosen. This line gives an overview of all important areas of the furnace as shown in Figure 1. Figure 2 shows the comparison of velocity magnitude and viscosity ratio results of IB Raptor code and COMSOL Multiphysics Spalart- Allmaras model. It can be observed from Figure 2 (a) that the velocity magnitude generated by the two different codes are similar to each other. In both figures, Ref. code are the values generated by COMSOL. The slight differences which might be due to the mesh, type of solver and the approach of two codes are not significant. Similarly, Figure 2 (b) shows a plot for the viscosity ratio which also shows a good comparison between the two codes. The validation with IB Raptor code provides remarkable validation for the flow field and to proceed to the reactive flow model. Reactive turbulent flow model with radiation The turbulent flow model is extended by adding reactions, heat generation by combustion and transfer of heat by radiation. In this section, the results of this reactive flow model are presented. Figure 3 (a) and (b) shows the mass fractions of CH 4 and CO 2 of reactive flow model. In the present model, the oxygen-methane ratio is much smaller than reality. Therefore, as can be observed from the Figure 3 (a), methane has some fraction near the outlet as the domain does not have enough O 2 to completely convert CH 4 into CO 2. Also, the reaction occurs as soon as O 2 mixes with CH 4 near the fuel inlet. Figure 3 (b) presents the mass fraction of CO 2 and the mixing interface of CH 4 and O 2. The generation of CO 2 is mainly in the interface where CH 4 mixes with O 2 which confirms that the reaction rate is governed by mixing timescale. This is the expected result from the eddy dissipation model which is captured by COMSOL Multiphysics. (a) (b) Figure 2. (a) Comparison of velocity magnitude (b) Comparison of viscosity ratio of models generated by COMSOL Multiphysics and IB-Raptor code on line shown in Figure 1 (a)

6 (b) Figure 3. (a) Surface plot of mass fraction of CH4 (b) Surface plot of mass fraction of CO2 from reactive flow model In this reactive model, the heat is generated by the combustion reaction of CH 4 and O 2. As the temperature in the domain is higher than 1000 K, the transfer of heat by radiation is significant which is accounted by P1 approximation model. The chemical species such as CO 2 and H 2O are known to absorb notable radiation and therefore, radiation in participating media is used. Figure 4 shows the temperature distribution in the domain after considering heat generation and heat transfer by radiation. It can be observed that the increment in temperature occurs in the reaction interface which is also seen in Figure 3 (b). To analyse the effect of the radiation absorption coefficient, the temperatures at the horizontal line (from Figure 1) are compared in Figure 5. The comparison shows that before the reaction interface, the temperature for lower absorption coefficient is higher as compared to the temperature of higher absorption coefficient. Whereas, this trend is reversed after the reaction interface. This difference can be explained based on the increased temperature in the domain after the reaction interface. The exact explanation can only be established based on the future further analysis. However, this primary analysis shows that the effect of P1 approximation model can be analysed using COMSOL Multiphysics. Conclusions In the present work, COMSOL Multiphysics has been used for modelling of a heating section of anode baking process. The process consists of multiple physical phenomena that are dependent on each other. Initially, a turbulent flow model is developed and validated by comparing results with another modelling code. This provides a validated flow field by CFD module of COMSOL Multiphysics. Figure 4. Surface plot of temperature in reactive flow model with radiation Temperature (K) Figure 5. Comparison of temperature with different absorption coefficients of medium on line from the Figure 1 The subsequent reactive flow model with radiation provides reasonable results with chemical reaction and heat transfer modules of COMSOL Multiphysics, though the validation is yet to be carried out. However, the modelling of combustion in COMSOL Multiphysics is constrained by the basic eddy dissipation model. Detailed combustion models such as based on the probability density function would be needed for pollutant related studies. Further work The extension from 2D to 3D modelling of a section of anode baking furnace is in process. Combustion modelling being important for NOx reduction study would be focused in more detail. Radiation is another leading physical phenomena in the process. More detailed radiation models such as discrete ordinate methods would be implemented as a next step. References kappa=0.028 kappa=0.28 kappa= X [1] D. S. Severo and V. Gusberti, Userfriendly software for simulation of anode baking furnaces, in Proceeding of the 10th Australasian Aluminum Smelting

7 Technology Conference, [2] N. Oumarou, D. Kocaefe, Y. Kocaefe, and B. Morais, Transient process model of open anode baking furnace, Appl. Therm. Eng., vol. 107, pp , [3] R. Bui, E. Dernedde, and A. Charette., Mathematical simulation of a horizontal flue ring furnace, Essent. Readings Light, [4] D. S. Severo, V. Gusberti, and E. C. V Pinto, Advanced 3D modelling for anode baking furnaces, Light Met., vol. 2005, pp , [5] N. Oumarou, D. Kocaefe, and Y. Kocaefe, An advanced dynamic process model for industrial horizontal anode baking furnace, Appl. Math. Model., vol. 53, pp , [6] N. Oumarou, Y. Kocaefe, D. Kocaefe, B. Morais, and J. Lafrance, A dynamic process model for predicting the performance of horizontal anode baking furnaces, in Light Metals 2015, Springer, 2015, pp [7] A. R. Tajik, T. Shamim, R. K. A. Al-Rub, and M. Zaidani, Two dimensional CFD simulations of a flue-wall in the anode baking furnace for aluminum production, Energy Procedia, vol. 105, pp , [8] A. R. Tajik, T. Shamim, M. Zaidani, and R. K. A. Al-Rub, The effects of flue-wall design modifications on combustion and flow characteristics of an aluminum anode baking furnace-cfd modeling, Appl. Energy, vol. 230, pp , [9] F. Grégoire and L. Gosselin, Comparison of three combustion models for simulating anode baking furnaces, Int. J. Therm. Sci., vol. 129, pp , [10] P. Nakate, Mathematical modelling of combustion reactions in Turbulent flow of anode baking process," DIAM Report 17-10, Delft University of technology, [11] P. Nakate, D.J.P. Lahaye, C. Vuik, M.Talice, Systematic development and mesh sensitivity analysis of a mathematical model for an anode baking furnace, in ASME 2018, 5th joint US-European fluids engineering division summer meeting, Montreal, Canada, 2018.

### ADVANCED DES SIMULATIONS OF OXY-GAS BURNER LOCATED INTO MODEL OF REAL MELTING CHAMBER

ADVANCED DES SIMULATIONS OF OXY-GAS BURNER LOCATED INTO MODEL OF REAL MELTING CHAMBER Ing. Vojtech Betak Ph.D. Aerospace Research and Test Establishment Department of Engines Prague, Czech Republic Abstract

### Process Chemistry Toolbox - Mixing

Process Chemistry Toolbox - Mixing Industrial diffusion flames are turbulent Laminar Turbulent 3 T s of combustion Time Temperature Turbulence Visualization of Laminar and Turbulent flow http://www.youtube.com/watch?v=kqqtob30jws

### EVALUATION OF FOUR TURBULENCE MODELS IN THE INTERACTION OF MULTI BURNERS SWIRLING FLOWS

EVALUATION OF FOUR TURBULENCE MODELS IN THE INTERACTION OF MULTI BURNERS SWIRLING FLOWS A Aroussi, S Kucukgokoglan, S.J.Pickering, M.Menacer School of Mechanical, Materials, Manufacturing Engineering and

### Introduction Flares: safe burning of waste hydrocarbons Oilfields, refinery, LNG Pollutants: NO x, CO 2, CO, unburned hydrocarbons, greenhouse gases G

School of Process, Environmental and Materials Engineering Computational study of combustion in flares: structure and emission of a jet flame in turbulent cross-flow GERG Academic Network Event Brussels

### Numerical Methods in Aerodynamics. Turbulence Modeling. Lecture 5: Turbulence modeling

Turbulence Modeling Niels N. Sørensen Professor MSO, Ph.D. Department of Civil Engineering, Alborg University & Wind Energy Department, Risø National Laboratory Technical University of Denmark 1 Outline

### CHAPTER 7 NUMERICAL MODELLING OF A SPIRAL HEAT EXCHANGER USING CFD TECHNIQUE

CHAPTER 7 NUMERICAL MODELLING OF A SPIRAL HEAT EXCHANGER USING CFD TECHNIQUE In this chapter, the governing equations for the proposed numerical model with discretisation methods are presented. Spiral

### Thermal NO Predictions in Glass Furnaces: A Subgrid Scale Validation Study

Feb 12 th 2004 Thermal NO Predictions in Glass Furnaces: A Subgrid Scale Validation Study Padmabhushana R. Desam & Prof. Philip J. Smith CRSIM, University of Utah Salt lake city, UT-84112 18 th Annual

### Overview of Turbulent Reacting Flows

Overview of Turbulent Reacting Flows Outline Various Applications Overview of available reacting flow models LES Latest additions Example Cases Summary Reacting Flows Applications in STAR-CCM+ Ever-Expanding

### Advanced Turbulence Models for Emission Modeling in Gas Combustion

1 Advanced Turbulence Models for Emission Modeling in Gas Combustion Ville Tossavainen, Satu Palonen & Antti Oksanen Tampere University of Technology Funding: Tekes, Metso Power Oy, Andritz Oy, Vattenfall

### Premixed MILD Combustion of Propane in a Cylindrical. Furnace with a Single Jet Burner: Combustion and. Emission Characteristics

Premixed MILD Combustion of Propane in a Cylindrical Furnace with a Single Jet Burner: Combustion and Emission Characteristics Kin-Pang Cheong a, c, Guochang Wang a, Jianchun Mi a*, Bo Wang a, Rong Zhu

### Stratified scavenging in two-stroke engines using OpenFOAM

Stratified scavenging in two-stroke engines using OpenFOAM Håkan Nilsson, Chalmers / Applied Mechanics / Fluid Dynamics 1 Acknowledgements I would like to thank Associate Professor Håkan Nilsson at the

### CHAPTER 4 OPTIMIZATION OF COEFFICIENT OF LIFT, DRAG AND POWER - AN ITERATIVE APPROACH

82 CHAPTER 4 OPTIMIZATION OF COEFFICIENT OF LIFT, DRAG AND POWER - AN ITERATIVE APPROACH The coefficient of lift, drag and power for wind turbine rotor is optimized using an iterative approach. The coefficient

### On the transient modelling of impinging jets heat transfer. A practical approach

Turbulence, Heat and Mass Transfer 7 2012 Begell House, Inc. On the transient modelling of impinging jets heat transfer. A practical approach M. Bovo 1,2 and L. Davidson 1 1 Dept. of Applied Mechanics,

### MODA. Modelling data documenting one simulation. NewSOL energy storage tank

MODA Modelling data documenting one simulation NewSOL energy storage tank Metadata for these elements are to be elaborated over time Purpose of this document: Definition of a data organisation that is

### Model Studies on Slag-Metal Entrainment in Gas Stirred Ladles

Model Studies on Slag-Metal Entrainment in Gas Stirred Ladles Anand Senguttuvan Supervisor Gordon A Irons 1 Approach to Simulate Slag Metal Entrainment using Computational Fluid Dynamics Introduction &

### 2Dimensional CFD Simulation of Gas Fired Furnace during Heat Treatment Process

2Dimensional CFD Simulation of Gas Fired Furnace during Heat Treatment Process Vivekanand D. Shikalgar 1, Umesh C.Rajmane 2, Sanjay S. Kumbhar 3, Rupesh R.bidkar 4, Sagar M. Pattar 5, Ashwini P. Patil

### Best Practice Guidelines for Combustion Modeling. Raphael David A. Bacchi, ESSS

Best Practice Guidelines for Combustion Modeling Raphael David A. Bacchi, ESSS PRESENTATION TOPICS Introduction; Combustion Phenomenology; Combustion Modeling; Reaction Mechanism; Radiation; Case Studies;

### ANSYS Advanced Solutions for Gas Turbine Combustion. Gilles Eggenspieler 2011 ANSYS, Inc.

ANSYS Advanced Solutions for Gas Turbine Combustion Gilles Eggenspieler ANSYS, Inc. 1 Agenda Steady State: New and Existing Capabilities Reduced Order Combustion Models Finite-Rate Chemistry Models Chemistry

### Numerical Simulation and Experimental Analysis of an Oxygen-Enriched Combustion Fiberglass Furnace

Numerical Simulation and Experimental Analysis of an Oxygen-Enriched Combustion Fiberglass Furnace Zoning Liu, Guangbin Duan, Liang Li, Weixiang Wu, Xiaobin Liu School of materials science and engineering,university

### International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May ISSN

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May-2015 28 CFD BASED HEAT TRANSFER ANALYSIS OF SOLAR AIR HEATER DUCT PROVIDED WITH ARTIFICIAL ROUGHNESS Vivek Rao, Dr. Ajay

### OpenFOAM selected solver

OpenFOAM selected solver Roberto Pieri - SCS Italy 16-18 June 2014 Introduction to Navier-Stokes equations and RANS Turbulence modelling Numeric discretization Navier-Stokes equations Convective term {}}{

### Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza

REPRESENTING PRESENCE OF SUBSURFACE CURRENT TURBINES IN OCEAN MODELS Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza 1 Momentum Equations 2 Effect of inclusion of Coriolis force

### Application of COMSOL Multiphysics in Transport Phenomena Educational Processes

Application of COMSOL Multiphysics in Transport Phenomena Educational Processes M. Vasilev, P. Sharma and P. L. Mills * Department of Chemical and Natural Gas Engineering, Texas A&M University-Kingsville,

### The energy performance of an airflow window

The energy performance of an airflow window B.(Bram) Kersten / id.nr. 0667606 University of Technology Eindhoven, department of Architecture Building and Planning, unit Building Physics and Systems. 10-08-2011

### CFD in COMSOL Multiphysics

CFD in COMSOL Multiphysics Mats Nigam Copyright 2016 COMSOL. Any of the images, text, and equations here may be copied and modified for your own internal use. All trademarks are the property of their respective

### Simulation of Aeroelastic System with Aerodynamic Nonlinearity

Simulation of Aeroelastic System with Aerodynamic Nonlinearity Muhamad Khairil Hafizi Mohd Zorkipli School of Aerospace Engineering, Universiti Sains Malaysia, Penang, MALAYSIA Norizham Abdul Razak School

### Turbulent Boundary Layers & Turbulence Models. Lecture 09

Turbulent Boundary Layers & Turbulence Models Lecture 09 The turbulent boundary layer In turbulent flow, the boundary layer is defined as the thin region on the surface of a body in which viscous effects

### Tutorial: Premixed Flow in a Conical Chamber using the Finite-Rate Chemistry Model

Tutorial: Premixed Flow in a Conical Chamber using the Finite-Rate Chemistry Model Introduction The purpose of this tutorial is to provide guidelines and recommendations for setting up and solving the

### Thermo-Fluid Dynamics of Flue Gas in Heat Accumulation Stoves: Study Cases

Thermo-Fluid Dynamics of Flue Gas in Heat Accumulation Stoves: Study Cases Scotton P. Rossi D. University of Padova, Department of Geosciences Excerpt from the Proceedings of the 2012 COMSOL Conference

### Soot formation in turbulent non premixed flames

Soot formation in turbulent non premixed flames A. Cuoci 1, A. Frassoldati 1, D. Patriarca 1, T. Faravelli 1, E. Ranzi 1, H. Bockhorn 2 1 Dipartimento di Chimica, Materiali e Ing. Chimica, Politecnico

### COMPUTATIONAL SIMULATION OF THE FLOW PAST AN AIRFOIL FOR AN UNMANNED AERIAL VEHICLE

COMPUTATIONAL SIMULATION OF THE FLOW PAST AN AIRFOIL FOR AN UNMANNED AERIAL VEHICLE L. Velázquez-Araque 1 and J. Nožička 2 1 Division of Thermal fluids, Department of Mechanical Engineering, National University

### DEVELOPMENT OF CFD MODEL FOR A SWIRL STABILIZED SPRAY COMBUSTOR

DRAFT Proceedings of ASME IMECE: International Mechanical Engineering Conference & Exposition Chicago, Illinois Nov. 5-10, 2006 IMECE2006-14867 DEVELOPMENT OF CFD MODEL FOR A SWIRL STABILIZED SPRAY COMBUSTOR

### Conjugate Heat Transfer Simulation of Internally Cooled Gas Turbine Vane

Conjugate Heat Transfer Simulation of Internally Cooled Gas Turbine Vane V. Esfahanian 1, A. Shahbazi 1 and G. Ahmadi 2 1 Department of Mechanical Engineering, University of Tehran, Tehran, Iran 2 Department

### LES modeling of heat and mass transfer in turbulent recirculated flows E. Baake 1, B. Nacke 1, A. Umbrashko 2, A. Jakovics 2

MAGNETOHYDRODYNAMICS Vol. 00 (1964), No. 00, pp. 1 5 LES modeling of heat and mass transfer in turbulent recirculated flows E. Baake 1, B. Nacke 1, A. Umbrashko 2, A. Jakovics 2 1 Institute for Electrothermal

### TOPICAL PROBLEMS OF FLUID MECHANICS 97

TOPICAL PROBLEMS OF FLUID MECHANICS 97 DOI: http://dx.doi.org/10.14311/tpfm.2016.014 DESIGN OF COMBUSTION CHAMBER FOR FLAME FRONT VISUALISATION AND FIRST NUMERICAL SIMULATION J. Kouba, J. Novotný, J. Nožička

### CFD Analysis of Vented Lean Hydrogen Deflagrations in an ISO Container

35 th UKELG Meeting, Spadeadam, 10-12 Oct. 2017 CFD Analysis of Vented Lean Hydrogen Deflagrations in an ISO Container Vendra C. Madhav Rao & Jennifer X. Wen Warwick FIRE, School of Engineering University

### Modelling Turbulent Non-Premixed Combustion in Industrial Furnaces

Modelling Turbulent Non-Premixed Combustion in Industrial Furnaces Using the Open Source Toolbox OpenFOAM by Ali Hussain Kadar to obtain the degree of Master of Science at the Delft University of Technology,

### CFD ANALYSIS OF CD NOZZLE AND EFFECT OF NOZZLE PRESSURE RATIO ON PRESSURE AND VELOCITY FOR SUDDENLY EXPANDED FLOWS. Kuala Lumpur, Malaysia

International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN(P): 2249-6890; ISSN(E): 2249-8001 Vol. 8, Issue 3, Jun 2018, 1147-1158 TJPRC Pvt. Ltd. CFD ANALYSIS

### Turbulence Model Affect on Heat Exchange Characteristics Through the Beam Window for European Spallation Source

International Scientific Colloquium Modelling for Material Processing Riga, September 16-17, 2010 Turbulence Model Affect on Heat Exchange Characteristics Through the Beam Window for European Spallation

### CFD Simulation of Internal Flowfield of Dual-mode Scramjet

CFD Simulation of Internal Flowfield of Dual-mode Scramjet C. Butcher, K. Yu Department of Aerospace Engineering, University of Maryland, College Park, MD, USA Abstract: The internal flowfield of a hypersonic

### A NUMERICAL ANALYSIS OF COMBUSTION PROCESS IN AN AXISYMMETRIC COMBUSTION CHAMBER

SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE-AFASES 2016 A NUMERICAL ANALYSIS OF COMBUSTION PROCESS IN AN AXISYMMETRIC COMBUSTION CHAMBER Alexandru DUMITRACHE*, Florin FRUNZULICA ** *Institute of

### MUSCLES. Presented by: Frank Wetze University of Karlsruhe (TH) - EBI / VB month review, 21 September 2004, Karlsruhe

MUSCLES Modelling of UnSteady Combustion in Low Emission Systems G4RD-CT-2002-00644 R&T project within the 5 th Framework program of the European Union: 1 Numerical computations of reacting flow field

### NUMERICAL SIMULATION AND MODELING OF UNSTEADY FLOW AROUND AN AIRFOIL. (AERODYNAMIC FORM)

Journal of Fundamental and Applied Sciences ISSN 1112-9867 Available online at http://www.jfas.info NUMERICAL SIMULATION AND MODELING OF UNSTEADY FLOW AROUND AN AIRFOIL. (AERODYNAMIC FORM) M. Y. Habib

### Heat Transfer Simulation by CFD from Fins of an Air Cooled Motorcycle Engine under Varying Climatic Conditions

, July 6-8, 2011, London, U.K. Heat Transfer Simulation by CFD from Fins of an Air Cooled Motorcycle Engine under Varying Climatic Conditions Pulkit Agarwal, Mayur Shrikhande and P. Srinivasan Abstract

### Project #1 Internal flow with thermal convection

Project #1 Internal flow with thermal convection MAE 494/598, Fall 2017, Project 1 (20 points) Hard copy of report is due at the start of class on the due date. The rules on collaboration will be released

### LES of the Sandia Flame D Using an FPV Combustion Model

Available online at www.sciencedirect.com ScienceDirect Energy Procedia 82 (2015 ) 402 409 ATI 2015-70th Conference of the ATI Engineering Association LES of the Sandia Flame D Using an FPV Combustion

### NO x Emissions Prediction from a Turbulent Diffusion Flame

NO x Emissions Prediction from a Turbulent Diffusion Flame Akpan, Patrick 1 and Njiofor, Tobenna 2 1 Department of Mechanical Engineering, University of Nigeria, Nsukka 2 Process Systems Engineering, Cranfield

### Thermal Modeling of Chlorination Reactor

Thermal Modeling of Chlorination Reactor Asif Ahmad Bhat Co-Authors: B.Muralidharan, G. Padmakumar & K.K. Rajan Fast Reactor Technology Group Indira Gandhi Centre for Atomic Research Department of Atomic

### S. Kadowaki, S.H. Kim AND H. Pitsch. 1. Motivation and objectives

Center for Turbulence Research Annual Research Briefs 2005 325 The dynamics of premixed flames propagating in non-uniform velocity fields: Assessment of the significance of intrinsic instabilities in turbulent

### Transport equation cavitation models in an unstructured flow solver. Kilian Claramunt, Charles Hirsch

Transport equation cavitation models in an unstructured flow solver Kilian Claramunt, Charles Hirsch SHF Conference on hydraulic machines and cavitation / air in water pipes June 5-6, 2013, Grenoble, France

### There are no simple turbulent flows

Turbulence 1 There are no simple turbulent flows Turbulent boundary layer: Instantaneous velocity field (snapshot) Ref: Prof. M. Gad-el-Hak, University of Notre Dame Prediction of turbulent flows standard

### Large-eddy simulation of an industrial furnace with a cross-flow-jet combustion system

Center for Turbulence Research Annual Research Briefs 2007 231 Large-eddy simulation of an industrial furnace with a cross-flow-jet combustion system By L. Wang AND H. Pitsch 1. Motivation and objectives

### HEAT TRANSFER IN A RECIRCULATION ZONE AT STEADY-STATE AND OSCILLATING CONDITIONS - THE BACK FACING STEP TEST CASE

HEAT TRANSFER IN A RECIRCULATION ZONE AT STEADY-STATE AND OSCILLATING CONDITIONS - THE BACK FACING STEP TEST CASE A.K. Pozarlik 1, D. Panara, J.B.W. Kok 1, T.H. van der Meer 1 1 Laboratory of Thermal Engineering,

### Explicit algebraic Reynolds stress models for internal flows

5. Double Circular Arc (DCA) cascade blade flow, problem statement The second test case deals with a DCA compressor cascade, which is considered a severe challenge for the CFD codes, due to the presence

### FINITE ELEMENT METHOD MODELLING OF A HIGH TEMPERATURE PEM FUEL CELL

CONDENSED MATTER FINITE ELEMENT METHOD MODELLING OF A HIGH TEMPERATURE PEM FUEL CELL V. IONESCU 1 1 Department of Physics and Electronics, Ovidius University, Constanta, 900527, Romania, E-mail: ionescu.vio@gmail.com

### CDF CALCULATION OF RADIAL FAN STAGE WITH VARIABLE LENGTH OF SEMI BLADES SVOČ FST 2012

CDF CALCULATION OF RADIAL FAN STAGE WITH VARIABLE LENGTH OF SEMI BLADES SVOČ FST 2012 Ing. Roman Gášpár, Západočeská univerzita v Plzni, Univerzitní 8, 306 14 Plzeň Česká republika NOMENCLATURE A area

### Flow Focusing Droplet Generation Using Linear Vibration

Flow Focusing Droplet Generation Using Linear Vibration A. Salari, C. Dalton Department of Electrical & Computer Engineering, University of Calgary, Calgary, AB, Canada Abstract: Flow focusing microchannels

### Large Eddy Simulation of Piloted Turbulent Premixed Flame

Large Eddy Simulation of Piloted Turbulent Premixed Flame Veeraraghava Raju Hasti, Robert P Lucht and Jay P Gore Maurice J. Zucrow Laboratories School of Mechanical Engineering Purdue University West Lafayette,

### Zonal hybrid RANS-LES modeling using a Low-Reynolds-Number k ω approach

Zonal hybrid RANS-LES modeling using a Low-Reynolds-Number k ω approach S. Arvidson 1,2, L. Davidson 1, S.-H. Peng 1,3 1 Chalmers University of Technology 2 SAAB AB, Aeronautics 3 FOI, Swedish Defence

### Conjugate Heat Transfer Analysis of a high loaded convection cooled Vane with STAR-CCM+

STAR Global Conference 2013 March 18-20, Orlando, USA Conjugate Heat Transfer Analysis of a high loaded convection cooled Vane with STAR-CCM+ René Braun, Karsten Kusterer, B&B-AGEMA, Aachen, Germany Content

### Numerical Modeling of Sampling Airborne Radioactive Particles Methods from the Stacks of Nuclear Facilities in Compliance with ISO 2889

Numerical Modeling of Sampling Airborne Radioactive Particles Methods from the Stacks of Nuclear Facilities in Compliance with ISO 2889 Author P. Geraldini Sogin Spa Via Torino 6, 00184 Rome Italy, geraldini@sogin.it

### CFD in Heat Transfer Equipment Professor Bengt Sunden Division of Heat Transfer Department of Energy Sciences Lund University

CFD in Heat Transfer Equipment Professor Bengt Sunden Division of Heat Transfer Department of Energy Sciences Lund University email: bengt.sunden@energy.lth.se CFD? CFD = Computational Fluid Dynamics;

### CFD study for cross flow heat exchanger with integral finned tube

International Journal of Scientific and Research Publications, Volume 6, Issue 6, June 2016 668 CFD study for cross flow heat exchanger with integral finned tube Zena K. Kadhim *, Muna S. Kassim **, Adel

### Exploring STAR-CCM+ Capabilities, Enhancements and Practices for Aerospace Combustion. Niveditha Krishnamoorthy CD-adapco

Exploring STAR-CCM+ Capabilities, Enhancements and Practices for Aerospace Combustion Niveditha Krishnamoorthy CD-adapco Outline Overview of modeling capability Applications, Practices and Enhancements

### Numerical investigation of swirl flow inside a supersonic nozzle

Advances in Fluid Mechanics IX 131 Numerical investigation of swirl flow inside a supersonic nozzle E. Eslamian, H. Shirvani & A. Shirvani Faculty of Science and Technology, Anglia Ruskin University, UK

### COMSOL Multiphysics Simulation of 3D Single- hase Transport in a Random Packed Bed of Spheres

COMSOL Multiphysics Simulation of 3D Single- hase Transport in a Random Packed Bed of Spheres A G. Dixon *1 1 Department of Chemical Engineering, Worcester Polytechnic Institute Worcester, MA, USA *Corresponding

### ADAPTATION OF THE REYNOLDS STRESS TURBULENCE MODEL FOR ATMOSPHERIC SIMULATIONS

ADAPTATION OF THE REYNOLDS STRESS TURBULENCE MODEL FOR ATMOSPHERIC SIMULATIONS Radi Sadek 1, Lionel Soulhac 1, Fabien Brocheton 2 and Emmanuel Buisson 2 1 Laboratoire de Mécanique des Fluides et d Acoustique,

### Modeling of turbulence in stirred vessels using large eddy simulation

Modeling of turbulence in stirred vessels using large eddy simulation André Bakker (presenter), Kumar Dhanasekharan, Ahmad Haidari, and Sung-Eun Kim Fluent Inc. Presented at CHISA 2002 August 25-29, Prague,

### CFD Analysis for Thermal Behavior of Turbulent Channel Flow of Different Geometry of Bottom Plate

International Journal Of Engineering Research And Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 13, Issue 9 (September 2017), PP.12-19 CFD Analysis for Thermal Behavior of Turbulent

### Heat-Accumulation Stoves: Numerical Simulations of Two Twisted Conduit Configurations

Heat-Accumulation Stoves: Numerical Simulations of Two Twisted Conduit Configurations *Scotton P., *Rossi D., **Barberi M., **De Toni S. *University of Padova, Department of Geosciences ** Barberi Srl,

### Simulation of soot formation and analysis of the "Advanced soot model" parameters in an internal combustion engine

Simulation of soot formation and analysis of the "Advanced soot model" parameters in an internal combustion engine Marko Ban, dipl. ing.* Power Engineering Department Faculty of Mechanical Engineering

### Overview of Reacting Flow

Overview of Reacting Flow Outline Various Applications Overview of available reacting flow models Latest additions Example Cases Summary Reacting Flows Applications in STAR-CCM+ Chemical Process Industry

### Numerical Simulation of Turbulent Flow inside the Electrostatic Precipitator of a Power Plant

Numerical Simulation of Turbulent Flow inside the Electrostatic Precipitator of a Power Plant S.M.E. Haque 1*, M.G. Rasul 2, A. Deev 1, M.M.K. Khan 2 and J. Zhou 3 1 Process Engineering & Light Metals

### An Overview of Impellers, Velocity Profile and Reactor Design

An Overview of s, Velocity Profile and Reactor Design Praveen Patel 1, Pranay Vaidya 1, Gurmeet Singh 2 1 Indian Institute of Technology Bombay, India 1 Indian Oil Corporation Limited, R&D Centre Faridabad

### XXXVIII Meeting of the Italian Section of the Combustion Institute

Coupling a Helmholtz solver with a Distributed Flame Transfer Function (DFTF) to study combustion instability of a longitudinal combustor equipped with a full-scale burner D. Laera*, S.M. Camporeale* davide.laera@poliba.it

### Numerical simulations of heat transfer in plane channel flow

Numerical simulations of heat transfer in plane channel flow Najla EL GHARBI 1, 3, a, Rafik ABSI 2, b and Ahmed BENZAOUI 3, c 1 Renewable Energy Development Center, BP 62 Bouzareah 163 Algiers, Algeria

### HIGH-FIDELITY MODELS FOR COAL COMBUSTION: TOWARD HIGH-TEMPERATURE OXY-COAL FOR DIRECT POWER EXTRACTION

1 HIGH-FIDELITY MODELS FOR COAL COMBUSTION: TOWARD HIGH-TEMPERATURE OXY-COAL FOR DIRECT POWER EXTRACTION XINYU ZHAO UNIVERSITY OF CONNECTICUT DANIEL C. HAWORTH 1, MICHAEL F. MODEST 2, JIAN CAI 3 1 THE

### Simulations for Enhancing Aerodynamic Designs

Simulations for Enhancing Aerodynamic Designs 2. Governing Equations and Turbulence Models by Dr. KANNAN B T, M.E (Aero), M.B.A (Airline & Airport), PhD (Aerospace Engg), Grad.Ae.S.I, M.I.E, M.I.A.Eng,

### Study on residence time distribution of CSTR using CFD

Indian Journal of Chemical Technology Vol. 3, March 16, pp. 114-1 Study on residence time distribution of CSTR using CFD Akhilesh Khapre*, Divya Rajavathsavai & Basudeb Munshi Department of Chemical Engineering,

### SQUARE AND AXISYMMETRIC FREE JET FOR PROCESS SAFETY ANALYSIS: AN INITIAL INVESTIGATION

SQUARE AND AXISYMMETRIC FREE JET FOR PROCESS SAFETY ANALYSIS: AN INITIAL INVESTIGATION G. L. CABRIDE 1, E. S. FERREIRA JÚNIOR 1, S. S. V. VIANNA 1 1 State University of Campinas, Faculty of Chemical Engineering

### Large Scale Fluid-Structure Interaction by coupling OpenFOAM with external codes

Large Scale Fluid-Structure Interaction by coupling OpenFOAM with external codes Thomas Gallinger * Alexander Kupzok Roland Wüchner Kai-Uwe Bletzinger Lehrstuhl für Statik Technische Universität München

### Numerical Investigation of Convective Heat Transfer in Pin Fin Type Heat Sink used for Led Application by using CFD

GRD Journals- Global Research and Development Journal for Engineering Volume 1 Issue 8 July 2016 ISSN: 2455-5703 Numerical Investigation of Convective Heat Transfer in Pin Fin Type Heat Sink used for Led

### CFD as a Tool for Thermal Comfort Assessment

CFD as a Tool for Thermal Comfort Assessment Dimitrios Koubogiannis dkoubog@teiath.gr G. Tsimperoudis, E. Karvelas Department of Energy Technology Engineering Technological Educational Institute of Athens

### Numerical Modeling of Sampling Airborne Radioactive Particles Methods from the Stacks of Nuclear Facilities in Compliance with ISO 2889

Numerical Modeling of Sampling Airborne Radioactive Particles Methods from the Stacks of Nuclear Facilities in Compliance with ISO 2889 Piergianni Geraldini Sogin Spa Mechanical Design Department Via Torino

### DARS Digital Analysis of Reactive Systems

DARS Digital Analysis of Reactive Systems Introduction DARS is a complex chemical reaction analysis system, developed by DigAnaRS. Our latest version, DARS V2.0, was released in September 2008 and new

### DARS overview, IISc Bangalore 18/03/2014

www.cd-adapco.com CH2O Temperatur e Air C2H4 Air DARS overview, IISc Bangalore 18/03/2014 Outline Introduction Modeling reactions in CFD CFD to DARS Introduction to DARS DARS capabilities and applications

### A Plasma Torch Model. 1. Introduction

A Plasma Torch Model B. Chinè School of Materials Science and Engineering, Costa Rica Institute of Technology, Cartago, Costa Rica P.O. Box 159-7050, Cartago, Costa Rica, bchine@itcr.ac.cr Abstract: Plasma

### CFD and Kinetic Analysis of Bluff Body Stabilized Flame

CFD and Kinetic Analysis of Bluff Body Stabilized ame A. Dicorato, E. Covelli, A. Frassoldati, T. Faravelli, E. Ranzi Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, ITALY

### The effect of geometric parameters on the head loss factor in headers

Fluid Structure Interaction V 355 The effect of geometric parameters on the head loss factor in headers A. Mansourpour & S. Shayamehr Mechanical Engineering Department, Azad University of Karaj, Iran Abstract

### Numerical Simulation of Supersonic Expansion in Conical and Contour Nozzle

Numerical Simulation of Supersonic Expansion in Conical and Contour Nozzle Madhu B P (1), Vijaya Raghu B (2) 1 M.Tech Scholars, Mechanical Engineering, Maharaja Institute of Technology, Mysore 2 Professor,

### "C:\Program Files\ANSYS Inc\v190\CFX\bin\perllib\cfx5solve.pl" -batch -ccl runinput.ccl -fullname "Fluid Flow CFX_002"

This run of the CFX Release 19.0 Solver started at 19:06:17 on 05 Jun 2018 by user ltval on DESKTOP-JCG0747 (intel_xeon64.sse2_winnt) using the command: "C:\Program Files\ANSYS Inc\v190\CFX\bin\perllib\cfx5solve.pl"

### Available online at ScienceDirect. Energy Procedia 69 (2015 )

Available online at www.sciencedirect.com ScienceDirect Energy Procedia 69 (2015 ) 573 582 International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2014 Numerical simulation

### Numerical Analysis And Experimental Verification of a Fire Resistant Overpack for Nuclear Waste

Numerical Analysis And Experimental Verification of a Fire Resistant Overpack for Nuclear Waste Author P. Geraldini 1, Co-author A. Lorenzo 2 1,2 Sogin S.p.A., Rome, Italy Via Marsala 51/C 00185 Rome 1

### Tutorial for the heated pipe with constant fluid properties in STAR-CCM+

Tutorial for the heated pipe with constant fluid properties in STAR-CCM+ For performing this tutorial, it is necessary to have already studied the tutorial on the upward bend. In fact, after getting abilities

### Numerical Heat and Mass Transfer

Master Degree in Mechanical Engineering Numerical Heat and Mass Transfer 19 Turbulent Flows Fausto Arpino f.arpino@unicas.it Introduction All the flows encountered in the engineering practice become unstable

### Simulating Drag Crisis for a Sphere Using Skin Friction Boundary Conditions

Simulating Drag Crisis for a Sphere Using Skin Friction Boundary Conditions Johan Hoffman May 14, 2006 Abstract In this paper we use a General Galerkin (G2) method to simulate drag crisis for a sphere,

### Heat Transfer Modeling using ANSYS FLUENT

Lecture 1 - Introduction 14.5 Release Heat Transfer Modeling using ANSYS FLUENT 2013 ANSYS, Inc. March 28, 2013 1 Release 14.5 Outline Modes of Heat Transfer Basic Heat Transfer Phenomena Conduction Convection