Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing

Size: px
Start display at page:

Download "Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing"

Transcription

1 Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing Lana Osusky, Howard Buckley, and David W. Zingg University of Toronto Institute for Aerospace Studies

2 1 Information Common to All Problems 1.1 Initial Geometry, Geometric Variation Permitted, and Geometric Constraints The baseline geometry is a wing-only geometry with a blunt trailing edge extracted from the Common Research Model (CRM) wing-body configuration, which was the subject of the Fifth Drag Prediction Workshop. An IGES file will be made available to the participants. The extraction of the wing from the wing-body configuration has been accomplished by deleting the fuselage such that the leading edge of the wing root is inches from the original symmetry plane, translating the leading edge of the wing root to the origin, and scaling all coordinates by the the mean aerodynamic chord of inches. The wing root does not lie exactly on the symmetry plane (y = 0), and a grid generator can also introduce some deviation from a flat symmetry plane. Therefore, once the grid is generated, it should be post-processed to ensure that the entire symmetry plane is at y = 0. Pitching moments are taken about the point (1.2077, 0, ) with the origin at the leading edge of the wing root and units in terms of the reference length. The location of the moment centre is taken from the original wing-body geometry, with values scaled by the reference length. All coefficients are calculated using the projected area as the reference, S ref = S projected = squared reference units. Note that the computed value of the projected area will be grid dependent and may not necessarily match the value quoted here. Section shape changes are permitted in the vertical (z) direction. The trailing edge of the wing is fixed, while the leading edge is free; hence arbitrary wing twist is permitted with the exception of the root section, where both the leading and trailing edges are fixed. The wing planform shape is fixed. The angle of attack is allowed to vary. Geometric constraints include the following. The internal volume of the wing must be greater than or equal to its initial value. In addition, the thickness must be greater than or equal to 25% of the initial thickness at all locations. The projected area, which is used as the reference area, does not have to be explicitly constrained, as it is calculated based on a zero angle of attack and will not be affected by the permitted shape changes. 1.2 Results to Be Included The lift, drag, and pitching-moment coefficients corresponding to the initial and optimized geometries computed on the mesh used for the optimization; the convergence criterion used for the analysis; for multi-point problems, the force and moment coefficients for each operating condition; The drag and pitching-moment coefficients corresponding to the optimized geometry on a sequence of refined meshes that shows their mesh convergence with the angle of attack adjusted to ensure that C L =0.5; the convergence criterion used for the analysis; for multi-point problems, this should be done for the central point, and all subsequent reporting of force and moment coefficients should be done based on a refined mesh chosen on the basis of the grid refinement study; Optimization convergence histories: these will depend on the nature of the optimizer, but should show the history of the lift, drag, and moment coefficients with respect to a suitable measure of cost, such as a function evaluation, plus, where possible, measures of optimality and feasibility; the stopping criterion should be given; if the optimization algorithm is stochastic, the optimization convergence history should be an average of a sufficient number of optimizations, which should be given; 1

3 Section shapes comparing initial and optimized geometries at 2.35%, 26.7%, 55.7%, 69.5%, 82.8% and 94.4% span; Plots of the coefficient of pressure at the above spanwise stations; Spanwise load distributions corresponding to the initial and optimized geometries. Additional case-specific results are specified for individual optimization problems. 2

4 2 Case 4.1: Single-point optimization problem (recommended) 2.1 Objective Function and Constraints The objective is to minimize the drag coefficient with the lift coefficient constrained to C L =0.5, and the pitching-moment coefficient constrained to C M Geometric constraints include the following. The internal volume of the wing must be greater than or equal to its initial value. In addition, the thickness must be greater than or equal to 25% of the initial thickness at all locations. The projected area, which is used as the reference area, does not have to be explicitly constrained, as it is calculated based on a zero angle of attack and will not be affected by the permitted shape changes. 2.2 Flow Conditions Flow conditions are fully turbulent at a Mach number of 0.85, Reynolds number of 5 million (based on the reference length of the Mean Aerodynamic Chord), and an initial angle of attack of

5 3 Case 4.2: Three-point problem with constant Mach number and variable lift coefficient (recommended) 3.1 Objective Function and Constraints Minimize an approximation to the integral of C D over a range of lift coefficients at a constant Mach number: minimize w.r.t. subject to 3 T i C Di i=1 Wing sectional shape Wing twist Angle of attack C Li =(C Li ) prescribed C M 0.17 (at design point 2) as well as the common geometric constraints given above. 3.2 Operating Conditions Operating conditions are given in Table 1. The operating conditions at design point 2 are taken from the CRM wing-body case specified in the Fifth Drag Prediction Workshop. Flow conditions are fully turbulent at these operating conditions with an initial angle of attack of 2.2. Table 1: Case 4.2 Design Points Design Design Point Mach Lift Reynolds Point Weight (T i ) Number Coefficient Number Additional Results to Be Included C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.85; 1.8 α 3.8 ; α =0.1 C D vs Mach number at C L =0.5; 0.75 M 0.90; M =

6 4 Case 4.3: Three-point problem with constant lift coefficient and variable Mach number (0.84 M 0.86) (recommended) 4.1 Objective Function and Constraints Minimize an approximation to the integral of C D over a range of Mach numbers at a constant lift coefficient: minimize w.r.t. subject to 3 T i C Di i=1 Wing sectional shape Wing twist Angle of attack C Li =(C Li ) prescribed C M 0.17 (at design point 2) as well as the common geometric constraints given above. 4.2 Operating Conditions Operating conditions are given in Table 2. The operating conditions at design point 2 are taken from the CRM wing-body case specified in the Fifth Drag Prediction Workshop. Flow conditions are fully turbulent at these operating conditions with an initial angle of attack of 2.2. In this case the Reynolds number is constant. Table 2: Case 4.3 Design Points Design Design Point Mach Lift Reynolds Point Weight (T i ) Number Coefficient Number Additional Results to Be Included C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.85; 1.8 α 3.8 ; α =0.1 C D vs Mach number at C L =0.5; 0.75 M 0.90; M =

7 5 Case 4.4: Three-point problem with constant lift coefficient and variable Mach number (0.82 M 0.88) (optional) 5.1 Objective Function and Constraints Minimize an approximation to the integral of C D over a range of Mach numbers at a constant lift coefficient: minimize w.r.t. subject to 3 T i C Di i=1 Wing sectional shape Wing twist Angle of attack C Li =(C Li ) prescribed C M 0.17 (at design point 2) as well as the common geometric constraints given above. 5.2 Operating Conditions Operating conditions are given in Table 3. The operating conditions at design point 2 are taken from the CRM wing-body case specified in the Fifth Drag Prediction Workshop. Flow conditions are fully turbulent at these operating conditions with an initial angle of attack of 2.2. In this case the Reynolds number has been adjusted to account for the change of altitude needed to maintain constant C L at a given aircraft weight. Table 3: Case 4.4 Design Points Design Design Point Mach Lift Reynolds Point Weight (T i ) Number Coefficient Number Additional Results to Be Included C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.85; 1.8 α 3.8 ; α =0.1 C D vs Mach number at C L =0.5; 0.75 M 0.90; M =

8 6 Case 4.5: Three-point problem with constant lift and variable Mach number (0.82 M 0.88) (optional) 6.1 Objective Function and Constraints Minimize an approximation to the integral of C D over a range of Mach numbers at a constant lift (as opposed to lift coefficient): minimize w.r.t. subject to 3 T i C Di i=1 Wing sectional shape Wing twist Angle of attack C Li =(C Li ) prescribed C M 0.17 (at design point 2) as well as the common geometric constraints given above. 6.2 Operating Conditions Operating conditions are given in Table 4. Lift coefficients are adjusted to achieve constant lift equivalent to that at Design Point 2. The operating conditions at design point 2 are taken from the CRM wing-body case specified in the Fifth Drag Prediction Workshop. Flow conditions are fully turbulent at these operating conditions with an initial angle of attack of 2.2. Table 4: Case 4.5 Design Points Design Design Point Mach Lift Reynolds Point Weight (T i ) Number Coefficient Number Additional Results to Be Included C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.85; 1.8 α 3.8 ; α =0.1 C D vs Mach number at a lift (not a lift coefficient) equal to that at design point 2; 0.75 M 0.90; M =

9 7 Case 4.6: Nine-point problem with variable lift and Mach number (optional) 7.1 Objective Function and Constraints Minimize an approximation to the integral of C D over a range of Mach numbers and lift values: minimize w.r.t. subject to 9 T i C Di i=1 Wing sectional shape Wing twist Angle of attack C Li =(C Li ) prescribed C M 0.17 (at design point 5) as well as the common geometric constraints given above. 7.2 Operating Conditions Operating conditions are given in Table 5. Design points 1, 4, and 7 produce the same lift, as do design points 2, 5, and 8 as well as 3, 6, and 9. The operating conditions at design point 5 are taken from the CRM wing-body case specified in the Fifth Drag Prediction Workshop. Flow conditions are fully turbulent at these operating conditions with an initial angle of attack of 2.2. Table 5: Case 4.6 Design Points Design Design Point Mach Lift Reynolds Point Weight (T i ) Number Coefficient Number Additional Results to Be Included C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.82; 1.8 α 3.8 ; α =0.1 C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.85; 1.8 α 3.8 ; α =0.1 C L vs α, C D vs α, C M vs α, and C D vs C L at Mach number 0.88; 1.8 α 3.8 ; α =0.1 C D vs Mach number at a lift equal to that at design points 1, 4, and 7; 0.75 M 0.90; M =

10 C D vs Mach number at a lift equal to that at design points 2, 5, and 8; 0.75 M 0.90; M =0.005 C D vs Mach number at a lift equal to that at design points 3, 6, and 9; 0.75 M 0.90; M =

NACA Nomenclature NACA 2421. NACA Airfoils. Definitions: Airfoil Geometry

NACA Nomenclature NACA 2421. NACA Airfoils. Definitions: Airfoil Geometry 0.40 m 0.21 m 0.02 m NACA Airfoils 6-Feb-08 AE 315 Lesson 10: Airfoil nomenclature and properties 1 Definitions: Airfoil Geometry z Mean camber line Chord line x Chord x=0 x=c Leading edge Trailing edge

More information

Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412

Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412 , July 2-4, 2014, London, U.K. Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412 Arvind Prabhakar, Ayush Ohri Abstract Winglets are angled extensions or vertical projections

More information

Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map

Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map Visualization and Data Mining of Solutions Using Self-Organizing Map Shigeru Obayashi and Daisuke Sasaki Institute of Fluid Science, Tohoku University, Sendai, 980-8577 JAPAN obayashi@ieee.org, sasaki@reynolds.ifs.tohoku.ac.jp

More information

XFlow CFD results for the 1st AIAA High Lift Prediction Workshop

XFlow CFD results for the 1st AIAA High Lift Prediction Workshop XFlow CFD results for the 1st AIAA High Lift Prediction Workshop David M. Holman, Dr. Monica Mier-Torrecilla, Ruddy Brionnaud Next Limit Technologies, Spain THEME Computational Fluid Dynamics KEYWORDS

More information

CFD Analysis of Civil Transport Aircraft

CFD Analysis of Civil Transport Aircraft IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 06, 2015 ISSN (online): 2321-0613 CFD Analysis of Civil Transport Aircraft Parthsarthi A Kulkarni 1 Dr. Pravin V Honguntikar

More information

Knowledge Based Aerodynamic Optimization

Knowledge Based Aerodynamic Optimization 4th SST CFD Workshop Tokyo, 12-13 Oct 26 Knowledge Based Aerodynamic Optimization Helmut Sobieczky DLR German Aerospace Center Bunsenstr. 1, 3773 Göttingen, Germany e-mail: helmut.sobieczky@dlr.de... internet:

More information

Wing Design: Major Decisions. Wing Area / Wing Loading Span / Aspect Ratio Planform Shape Airfoils Flaps and Other High Lift Devices Twist

Wing Design: Major Decisions. Wing Area / Wing Loading Span / Aspect Ratio Planform Shape Airfoils Flaps and Other High Lift Devices Twist Wing Design: Major Decisions Wing Area / Wing Loading Span / Aspect Ratio Planform Shape Airfoils Flaps and Other High Lift Devices Twist Wing Design Parameters First Level Span Area Thickness Detail Design

More information

CFD simulations of flow over NASA Trap Wing Model

CFD simulations of flow over NASA Trap Wing Model CFD simulations of flow over NASA Trap Wing Model Andy Luo Swift Engineering Pravin Peddiraju, Vangelis Skaperdas BETA CAE Systems Introduction A cooperative study was undertaken by BETA and Swift Engineering

More information

Reynolds Averaged Navier-Stokes Analysis for Civil Transport Aircraft using Structured and Unstructured grids

Reynolds Averaged Navier-Stokes Analysis for Civil Transport Aircraft using Structured and Unstructured grids 14 th Annual CFD Symposium 10 th 11 th August 2012, Bangalore Reynolds Averaged Navier-Stokes Analysis for Civil Transport Aircraft using Structured and Unstructured grids Vishal S. Shirbhate CTFD Division,

More information

C3.8 CRM wing/body Case

C3.8 CRM wing/body Case C3.8 CRM wing/body Case 1. Code description XFlow is a high-order discontinuous Galerkin (DG) finite element solver written in ANSI C, intended to be run on Linux-type platforms. Relevant supported equation

More information

The aerodynamic center

The aerodynamic center The aerodynamic center In this chapter, we re going to focus on the aerodynamic center, and its effect on the moment coefficient C m. 1 Force and moment coefficients 1.1 Aerodynamic forces Let s investigate

More information

Lift and Drag on an Airfoil ME 123: Mechanical Engineering Laboratory II: Fluids

Lift and Drag on an Airfoil ME 123: Mechanical Engineering Laboratory II: Fluids Lift and Drag on an Airfoil ME 123: Mechanical Engineering Laboratory II: Fluids Dr. J. M. Meyers Dr. D. G. Fletcher Dr. Y. Dubief 1. Introduction In this lab the characteristics of airfoil lift, drag,

More information

A NUMERICAL METHOD TO PREDICT THE LIFT OF AIRCRAFT WINGS AT STALL CONDITIONS

A NUMERICAL METHOD TO PREDICT THE LIFT OF AIRCRAFT WINGS AT STALL CONDITIONS Braz. Soc. of Mechanical Sciences and Engineering -- ABCM, Rio de Janeiro, Brazil, Nov. 29 -- Dec. 3, 24 A NUMERICAL METHOD TO PREDICT THE LIFT OF AIRCRAFT WINGS AT STALL CONDITIONS Marcos A. Ortega ITA

More information

NACA 2415- FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL

NACA 2415- FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL NACA 2415- FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL Sarfaraj Nawaz Shaha 1, M. Sadiq A. Pachapuri 2 1 P.G. Student, MTech Design Engineering, KLE Dr. M S Sheshgiri College of Engineering

More information

Chapter 6 Lateral static stability and control - 3 Lecture 21 Topics

Chapter 6 Lateral static stability and control - 3 Lecture 21 Topics Chapter 6 Lateral static stability and control - 3 Lecture 21 Topics 6.11 General discussions on control surface 6.11.1 Aerodynamic balancing 6.11.2 Set back hinge or over hang balance 6.11.3 Horn balanace

More information

Design and Structural Analysis of the Ribs and Spars of Swept Back Wing

Design and Structural Analysis of the Ribs and Spars of Swept Back Wing Design and Structural Analysis of the Ribs and Spars of Swept Back Wing Mohamed Hamdan A 1, Nithiyakalyani S 2 1,2 Assistant Professor, Aeronautical Engineering & Srinivasan Engineering College, Perambalur,

More information

APPLICATION OF OPTIMIZATION METHODS IN 2D HYDROFOIL DESIGN

APPLICATION OF OPTIMIZATION METHODS IN 2D HYDROFOIL DESIGN Electrozavodskaia St., 20, Moscow, 107023, Russia Phone/fax +7 (495) 788 1060 www.iosotech.com APPLICATION OF OPTIMIZATION METHODS IN 2D HYDROFOIL DESIGN Abstract Modern computer technologies allow us

More information

Computational Aerodynamic Analysis on Store Separation from Aircraft using Pylon

Computational Aerodynamic Analysis on Store Separation from Aircraft using Pylon International Journal of Engineering Science Invention (IJESI) ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 www.ijesi.org ǁ PP.27-31 Computational Aerodynamic Analysis on Store Separation from Aircraft

More information

CFD results for TU-154M in landing configuration for an asymmetrical loss in wing length.

CFD results for TU-154M in landing configuration for an asymmetrical loss in wing length. length. PAGE [1] CFD results for TU-154M in landing configuration for an asymmetrical loss in wing length. Summary: In CFD work produced by G. Kowaleczko (GK) and sent to the author of this report in 2013

More information

AIAA CFD DRAG PREDICTION WORKSHOP: AN OVERVIEW

AIAA CFD DRAG PREDICTION WORKSHOP: AN OVERVIEW 5 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES AIAA CFD DRAG PREDICTION WORKSHOP: AN OVERVIEW Kelly R. Laflin Cessna Aircraft Company Keywords: AIAA, CFD, DPW, drag, transonic Abstract An overview

More information

Simulation at Aeronautics Test Facilities A University Perspective Helen L. Reed, Ph.D., P.E. ASEB meeting, Irvine CA 15 October 2014 1500-1640

Simulation at Aeronautics Test Facilities A University Perspective Helen L. Reed, Ph.D., P.E. ASEB meeting, Irvine CA 15 October 2014 1500-1640 Simulation at Aeronautics Test A University Perspective Helen L. Reed, Ph.D., P.E. ASEB meeting, Irvine CA 15 October 2014 1500-1640 Questions How has the ability to do increasingly accurate modeling and

More information

CFD ANALYSIS OF RAE 2822 SUPERCRITICAL AIRFOIL AT TRANSONIC MACH SPEEDS

CFD ANALYSIS OF RAE 2822 SUPERCRITICAL AIRFOIL AT TRANSONIC MACH SPEEDS CFD ANALYSIS OF RAE 2822 SUPERCRITICAL AIRFOIL AT TRANSONIC MACH SPEEDS K.Harish Kumar 1, CH.Kiran Kumar 2, T.Naveen Kumar 3 1 M.Tech Thermal Engineering, Sanketika Institute of Technology & Management,

More information

A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty of Military Technology, University of Defence, Brno, Czech Republic

A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty of Military Technology, University of Defence, Brno, Czech Republic AiMT Advances in Military Technology Vol. 8, No. 1, June 2013 Aerodynamic Characteristics of Multi-Element Iced Airfoil CFD Simulation A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty

More information

APP Aircraft Performance Program Demo Notes Using Cessna 172 as an Example

APP Aircraft Performance Program Demo Notes Using Cessna 172 as an Example APP Aircraft Performance Program Demo Notes Using Cessna 172 as an Example Prepared by DARcorporation 1. Program Layout & Organization APP Consists of 8 Modules, 5 Input Modules and 2 Calculation Modules.

More information

Numerical Approach Aspects for the Investigation of the Longitudinal Static Stability of a Transport Aircraft with Circulation Control

Numerical Approach Aspects for the Investigation of the Longitudinal Static Stability of a Transport Aircraft with Circulation Control Numerical Approach Aspects for the Investigation of the Longitudinal Static Stability of a Transport Aircraft with Circulation Control Dennis Keller Abstract The aim of the investigation is to gain more

More information

Drag Prediction of Engine Airframe Interference Effects with CFX-5

Drag Prediction of Engine Airframe Interference Effects with CFX-5 JOURNAL OF AIRCRAFT Vol. 42, No. 6, November December 2005 Drag Prediction of Engine Airframe Interference Effects with CFX-5 R. B. Langtry, M. Kuntz, and F. R. Menter ANSYS CFX Germany, 83624 Otterfing,

More information

Production of Wind Tunnel Testing Models with use of Rapid Prototyping Methods

Production of Wind Tunnel Testing Models with use of Rapid Prototyping Methods Production of Wind Tunnel Testing Models with use of Rapid Prototyping Methods R. ADELNIA 1, S. DANESHMAND 2, S. AGHANAJAFI 3 Mechanical Group, Majlesi Azad University Isfahan IRAN Abstract: In a time

More information

Analysis of NASA Common Research Model Dynamic Data

Analysis of NASA Common Research Model Dynamic Data Analysis of NASA Common Research Model Dynamic Data S. Balakrishna 1 Vigyan Inc, Hampton, Va, 23666 Michael J Acheson 2 Project manager, NFMTC, LaRC, Hampton, Va, 23681 Recent NASA Common Research Model

More information

High-Lift Systems. High Lift Systems -- Introduction. Flap Geometry. Outline of this Chapter

High-Lift Systems. High Lift Systems -- Introduction. Flap Geometry. Outline of this Chapter High-Lift Systems Outline of this Chapter The chapter is divided into four sections. The introduction describes the motivation for high lift systems, and the basic concepts underlying flap and slat systems.

More information

The Use of VSAero CFD Tool in the UAV Aerodynamic Project

The Use of VSAero CFD Tool in the UAV Aerodynamic Project DIASP Meeting #6 Turin 4-5 February 2003 The Use of VSAero CFD Tool in the UAV Aerodynamic Project Alberto PORTO Massimiliano FONTANA Porto Ricerca FDS Giulio ROMEO - Enrico CESTINO Giacomo FRULLA Politecnico

More information

RECYCLING OLD WEIGHT ASSESSMENT METHODS AND GIVING THEM NEW LIFE IN AIRCRAFT CONCEPTUAL DESIGN

RECYCLING OLD WEIGHT ASSESSMENT METHODS AND GIVING THEM NEW LIFE IN AIRCRAFT CONCEPTUAL DESIGN 28 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES Abstract RECYCLING OLD WEIGHT ASSESSMENT METHODS AND GIVING THEM NEW LIFE IN AIRCRAFT CONCEPTUAL DESIGN Aircraft conceptual design is an iterative

More information

CFD Analysis on Airfoil at High Angles of Attack

CFD Analysis on Airfoil at High Angles of Attack CFD Analysis on Airfoil at High Angles of Attack Dr.P.PrabhakaraRao¹ & Sri Sampath.V² Department of Mechanical Engineering,Kakatiya Institute of Technology& Science Warangal-506015 1 chantifft@rediffmail.com,

More information

PARAMETRIC INVESTIGATION OF A HIGH-LIFT AIRFOIL AT HIGH REYNOLDS NUMBERS. John C. Lin* NASA Langley Research Center, Hampton, VA 23681-0001.

PARAMETRIC INVESTIGATION OF A HIGH-LIFT AIRFOIL AT HIGH REYNOLDS NUMBERS. John C. Lin* NASA Langley Research Center, Hampton, VA 23681-0001. PARAMETRIC INVESTIGATION OF A HIGH-LIFT AIRFOIL AT HIGH REYNOLDS NUMBERS John C. Lin* NASA Langley Research Center, Hampton, VA 23681-0001 and Chet J. Dominik McDonnell Douglas Aerospace, Long Beach, CA

More information

QUT Digital Repository: http://eprints.qut.edu.au/

QUT Digital Repository: http://eprints.qut.edu.au/ QUT Digital Repository: http://eprints.qut.edu.au/ El-Atm, Billy and Kelson, Neil A. and Gudimetla, Prasad V. (2008) A finite element analysis of the hydrodynamic performance of 3- and 4-Fin surfboard

More information

HALE UAV: AeroVironment Pathfinder

HALE UAV: AeroVironment Pathfinder HALE UAV: AeroVironment Pathfinder Aerodynamic and Stability Analysis Case Study: Planform Optimization Desta Alemayehu Elizabeth Eaton Imraan Faruque Photo courtesy NASA Dryden Photo Gallery 1 Pathfinder

More information

Development of a Common Research Model for Applied CFD Validation Studies

Development of a Common Research Model for Applied CFD Validation Studies Development of a Common Research Model for Applied CFD Validation Studies John C. Vassberg *, Mark A. DeHaan The Boeing Company, Huntington Beach, CA 92647 S. Melissa Rivers, Richard A. Wahls NASA Langley

More information

THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA

THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA Adam Kosík Evektor s.r.o., Czech Republic KEYWORDS CFD simulation, mesh generation, OpenFOAM, ANSA ABSTRACT In this paper we describe

More information

Relevance of Modern Optimization Methods in Turbo Machinery Applications

Relevance of Modern Optimization Methods in Turbo Machinery Applications Relevance of Modern Optimization Methods in Turbo Machinery Applications - From Analytical Models via Three Dimensional Multidisciplinary Approaches to the Optimization of a Wind Turbine - Prof. Dr. Ing.

More information

Aerodynamic Department Institute of Aviation. Adam Dziubiński CFD group FLUENT

Aerodynamic Department Institute of Aviation. Adam Dziubiński CFD group FLUENT Adam Dziubiński CFD group IoA FLUENT Content Fluent CFD software 1. Short description of main features of Fluent 2. Examples of usage in CESAR Analysis of flow around an airfoil with a flap: VZLU + ILL4xx

More information

A COMPARISON BETWEEN THE AERODYNAMIC PRESSURE FACTORING AND THE AERODYNAMIC DERIVATIVES FACTORING METHODS FOR THE DOUBLET LATTICE PROGRAM

A COMPARISON BETWEEN THE AERODYNAMIC PRESSURE FACTORING AND THE AERODYNAMIC DERIVATIVES FACTORING METHODS FOR THE DOUBLET LATTICE PROGRAM A COMPARISON BETWEEN THE AERODYNAMIC PRESSURE FACTORING AND THE AERODYNAMIC DERIVATIVES FACTORING METHODS FOR THE DOUBLET LATTICE PROGRAM Paper Reference No. 1-1 by Emil Suciu* esuciu@yahoo.com ABSTRACT

More information

Toward Zero Sonic-Boom and High Efficiency. Supersonic Bi-Directional Flying Wing

Toward Zero Sonic-Boom and High Efficiency. Supersonic Bi-Directional Flying Wing AIAA Paper 2010-1013 Toward Zero Sonic-Boom and High Efficiency Supersonic Flight: A Novel Concept of Supersonic Bi-Directional Flying Wing Gecheng Zha, Hongsik Im, Daniel Espinal University of Miami Dept.

More information

University Turbine Systems Research 2012 Fellowship Program Final Report. Prepared for: General Electric Company

University Turbine Systems Research 2012 Fellowship Program Final Report. Prepared for: General Electric Company University Turbine Systems Research 2012 Fellowship Program Final Report Prepared for: General Electric Company Gas Turbine Aerodynamics Marion Building 300 Garlington Rd Greenville, SC 29615, USA Prepared

More information

REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188

REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions,

More information

APPENDIX 3-B Airplane Upset Recovery Briefing. Briefing. Figure 3-B.1

APPENDIX 3-B Airplane Upset Recovery Briefing. Briefing. Figure 3-B.1 APPENDIX 3-B Airplane Upset Recovery Briefing Industry Solutions for Large Swept-Wing Turbofan Airplanes Typically Seating More Than 100 Passengers Briefing Figure 3-B.1 Revision 1_August 2004 Airplane

More information

Lecture 8 : Dynamic Stability

Lecture 8 : Dynamic Stability Lecture 8 : Dynamic Stability Or what happens to small disturbances about a trim condition 1.0 : Dynamic Stability Static stability refers to the tendency of the aircraft to counter a disturbance. Dynamic

More information

Executive summary. Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR

Executive summary. Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR UNCLASSIFIED Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR Executive summary Engine performance prediction for varied low pressure turbine vane geometry utilizing test rig

More information

Introduction to Aircraft Stability and Control Course Notes for M&AE 5070

Introduction to Aircraft Stability and Control Course Notes for M&AE 5070 Introduction to Aircraft Stability and Control Course Notes for M&AE 57 David A. Caughey Sibley School of Mechanical & Aerospace Engineering Cornell University Ithaca, New York 14853-751 211 2 Contents

More information

CFD analysis for road vehicles - case study

CFD analysis for road vehicles - case study CFD analysis for road vehicles - case study Dan BARBUT*,1, Eugen Mihai NEGRUS 1 *Corresponding author *,1 POLITEHNICA University of Bucharest, Faculty of Transport, Splaiul Independentei 313, 060042, Bucharest,

More information

Application Report. Propeller Blade Inspection Station

Application Report. Propeller Blade Inspection Station 34935 SE Douglas Street, Suite, Snoqualmie, WA 9874 Ph: 425-396-5577 Fax: 425-396-586 Application Report Propeller Blade Inspection Station Prepared By Kyle Johnston, Ph. D. Metron Systems Inc.5.5 3 2.5

More information

Numerical Investigation of the Aerodynamic Properties of a Flying Wing Configuration

Numerical Investigation of the Aerodynamic Properties of a Flying Wing Configuration 30th AIAA Applied Aerodynamics Conference 25-28 June 2012, New Orleans, Louisiana AIAA 2012-3325 Numerical Investigation of the Aerodynamic Properties of a Flying Wing Configuration Kerstin C. Huber 1

More information

Practice Problems on Boundary Layers. Answer(s): D = 107 N D = 152 N. C. Wassgren, Purdue University Page 1 of 17 Last Updated: 2010 Nov 22

Practice Problems on Boundary Layers. Answer(s): D = 107 N D = 152 N. C. Wassgren, Purdue University Page 1 of 17 Last Updated: 2010 Nov 22 BL_01 A thin flat plate 55 by 110 cm is immersed in a 6 m/s stream of SAE 10 oil at 20 C. Compute the total skin friction drag if the stream is parallel to (a) the long side and (b) the short side. D =

More information

An Overview of the Finite Element Analysis

An Overview of the Finite Element Analysis CHAPTER 1 An Overview of the Finite Element Analysis 1.1 Introduction Finite element analysis (FEA) involves solution of engineering problems using computers. Engineering structures that have complex geometry

More information

ME6130 An introduction to CFD 1-1

ME6130 An introduction to CFD 1-1 ME6130 An introduction to CFD 1-1 What is CFD? Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically

More information

The influence of mesh characteristics on OpenFOAM simulations of the DrivAer model

The influence of mesh characteristics on OpenFOAM simulations of the DrivAer model The influence of mesh characteristics on OpenFOAM simulations of the DrivAer model Vangelis Skaperdas, Aristotelis Iordanidis, Grigoris Fotiadis BETA CAE Systems S.A. 2 nd Northern Germany OpenFOAM User

More information

Largest Fixed-Aspect, Axis-Aligned Rectangle

Largest Fixed-Aspect, Axis-Aligned Rectangle Largest Fixed-Aspect, Axis-Aligned Rectangle David Eberly Geometric Tools, LLC http://www.geometrictools.com/ Copyright c 1998-2016. All Rights Reserved. Created: February 21, 2004 Last Modified: February

More information

LOCKHEED GEORGIA LOWSPEED WIND TUNNEL HONDA CIVIC HATCHBACK AIRTAB(R) MODIFICATION RESULTS

LOCKHEED GEORGIA LOWSPEED WIND TUNNEL HONDA CIVIC HATCHBACK AIRTAB(R) MODIFICATION RESULTS LOCKHEED GEORGIA LOWSPEED WIND TUNNEL HONDA CIVIC HATCHBACK AIRTAB(R) MODIFICATION RESULTS Executive Summary: This report shows conclusively that the Airtab product reduced aerodynamic drag forces at the

More information

Behavioral Animation Simulation of Flocking Birds

Behavioral Animation Simulation of Flocking Birds Behavioral Animation Simulation of Flocking Birds Autonomous characters determine their actions Simulating the paths of individuals in: flocks of birds, schools of fish, herds of animals crowd scenes 1.

More information

ENHANCEMENT OF AERODYNAMIC PERFORMANCE OF A FORMULA-1 RACE CAR USING ADD-ON DEVICES B. N. Devaiah 1, S. Umesh 2

ENHANCEMENT OF AERODYNAMIC PERFORMANCE OF A FORMULA-1 RACE CAR USING ADD-ON DEVICES B. N. Devaiah 1, S. Umesh 2 ENHANCEMENT OF AERODYNAMIC PERFORMANCE OF A FORMULA-1 RACE CAR USING ADD-ON DEVICES B. N. Devaiah 1, S. Umesh 2 1- M. Sc. [Engg.] Student, 2- Asst. Professor Automotive and Aeronautical Engineering Department,

More information

Cessna Skyhawk II / 100. Performance Assessment

Cessna Skyhawk II / 100. Performance Assessment Cessna Skyhawk II / 100 Performance Assessment Prepared by John McIver B.Eng.(Aero) Temporal Images 23rd January 2003 http://www.temporal.com.au Cessna Skyhawk II/100 (172) Performance Assessment 1. Introduction

More information

Introduction to ANSYS ICEM CFD

Introduction to ANSYS ICEM CFD Workshop 8.2 3D Pipe Junction 14.5 Release Introduction to ANSYS ICEM CFD 2012 ANSYS, Inc. April 1, 2013 1 Release 14.5 3D Pipe Junction 3D Pipe Junction This is a simple 4-way pipe intersection with two

More information

Thin Airfoil Theory. Charles R. O Neill School of Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 74078

Thin Airfoil Theory. Charles R. O Neill School of Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 74078 13 Thin Airfoil Theory Charles R. O Neill School of Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 7478 Project One in MAE 3253 Applied Aerodynamics and Performance March

More information

Understanding High Advance Ratio Flight

Understanding High Advance Ratio Flight Alfred Gessow Rotorcraft Center University of Maryland Understanding High Advance Ratio Flight Graham Bowen-Davies Graduate Research Assistant Adviser: Inderjit Chopra Alfred Gessow Professor and Director

More information

CALIFORNIA STATE UNIVERSITY NORTHRIDGE. Evaluation of Ground Effect on the Drag on an HPV Fairing Using CFD

CALIFORNIA STATE UNIVERSITY NORTHRIDGE. Evaluation of Ground Effect on the Drag on an HPV Fairing Using CFD CALIFORNIA STATE UNIVERSITY NORTHRIDGE Evaluation of Ground Effect on the Drag on an HPV Fairing Using CFD A thesis submitted in partial fulfillment of the requirements For the degree of Master of Science

More information

Light Aircraft Design

Light Aircraft Design New: Sport Pilot (LSA) The Light Aircraft Design Computer Program Package - based on MS-Excelapplication was now extented with the new Sport Pilots (LSA) loads module, which includes compliance for the

More information

CFD Simulations and Wind Tunnel Experiments of a Generic Split-Canard Air-to-Air Missile at High Angles of Attack in Turbulent Subsonic Flow

CFD Simulations and Wind Tunnel Experiments of a Generic Split-Canard Air-to-Air Missile at High Angles of Attack in Turbulent Subsonic Flow AIAA Atmospheric Flight Mechanics Conference 08-11 August 2011, Portland, Oregon AIAA 2011-6335 CFD Simulations and Wind Tunnel Experiments of a Generic Split-Canard Air-to-Air Missile at High Angles of

More information

AE 430 - Stability and Control of Aerospace Vehicles

AE 430 - Stability and Control of Aerospace Vehicles AE 430 - Stability and Control of Aerospace Vehicles Atmospheric Flight Mechanics 1 Atmospheric Flight Mechanics Performance Performance characteristics (range, endurance, rate of climb, takeoff and landing

More information

NACA RESEARCH MEMORANDUM

NACA RESEARCH MEMORANDUM RM L52Dl5 NAA RESEARH MEMORANDUM SOME EFFETS OF FN PLAN FORM ON THE STAT STABLTY OF FNBODY OMBNATONS AT MAH NUMBER 4.6 By Edward F. Ulmann and Robert W. Dunning Langley Aeronautical Laboratory Langley

More information

Comparison between OpenFOAM CFD & BEM theory for variable speed variable pitch HAWT

Comparison between OpenFOAM CFD & BEM theory for variable speed variable pitch HAWT ITM Web of Conferences 2, 05001 (2014) DOI: 10.1051/itmconf/20140205001 C Owned by the authors, published by EDP Sciences, 2014 Comparison between OpenFOAM CFD & BEM theory for variable speed variable

More information

Simulation of Fluid-Structure Interactions in Aeronautical Applications

Simulation of Fluid-Structure Interactions in Aeronautical Applications Simulation of Fluid-Structure Interactions in Aeronautical Applications Martin Kuntz Jorge Carregal Ferreira ANSYS Germany D-83624 Otterfing Martin.Kuntz@ansys.com December 2003 3 rd FENET Annual Industry

More information

Aerodynamics of Rotating Discs

Aerodynamics of Rotating Discs Proceedings of ICFD 10: Tenth International Congress of FluidofDynamics Proceedings ICFD 10: December 16-19, 2010, Stella Di MareTenth Sea Club Hotel, Ain Soukhna, Egypt International Congress of Red FluidSea,

More information

Performance. Power Plant Output in Terms of Thrust - General - Arbitrary Drag Polar

Performance. Power Plant Output in Terms of Thrust - General - Arbitrary Drag Polar Performance 11. Level Flight Performance and Level flight Envelope We are interested in determining the maximum and minimum speeds that an aircraft can fly in level flight. If we do this for all altitudes,

More information

CFD Lab Department of Engineering The University of Liverpool

CFD Lab Department of Engineering The University of Liverpool Development of a CFD Method for Aerodynamic Analysis of Large Diameter Horizontal Axis wind turbines S. Gomez-Iradi, G.N. Barakos and X. Munduate 2007 joint meeting of IEA Annex 11 and Annex 20 Risø National

More information

Propeller Efficiency. Rule of Thumb. David F. Rogers, PhD, ATP

Propeller Efficiency. Rule of Thumb. David F. Rogers, PhD, ATP Propeller Efficiency Rule of Thumb David F. Rogers, PhD, ATP Theoretically the most efficient propeller is a large diameter, slowly turning single blade propeller. Here, think the Osprey or helicopters.

More information

The Influence of Aerodynamics on the Design of High-Performance Road Vehicles

The Influence of Aerodynamics on the Design of High-Performance Road Vehicles The Influence of Aerodynamics on the Design of High-Performance Road Vehicles Guido Buresti Department of Aerospace Engineering University of Pisa (Italy) 1 CONTENTS ELEMENTS OF AERODYNAMICS AERODYNAMICS

More information

Computational Simulation of Flow Over a High-Lift Trapezoidal Wing

Computational Simulation of Flow Over a High-Lift Trapezoidal Wing Computational Simulation of Flow Over a High-Lift Trapezoidal Wing Abhishek Khare a,1, Raashid Baig a, Rajesh Ranjan a, Stimit Shah a, S Pavithran a, Kishor Nikam a,1, Anutosh Moitra b a Computational

More information

Lab 8 Notes Basic Aircraft Design Rules 6 Apr 06

Lab 8 Notes Basic Aircraft Design Rules 6 Apr 06 Lab 8 Notes Basic Aircraft Design Rules 6 Apr 06 Nomenclature x, y longitudinal, spanwise positions S reference area (wing area) b wing span c average wing chord ( = S/b ) AR wing aspect ratio C L lift

More information

CCTech TM. ICEM-CFD & FLUENT Software Training. Course Brochure. Simulation is The Future

CCTech TM. ICEM-CFD & FLUENT Software Training. Course Brochure. Simulation is The Future . CCTech TM Simulation is The Future ICEM-CFD & FLUENT Software Training Course Brochure About. CCTech Established in 2006 by alumni of IIT Bombay. Our motive is to establish a knowledge centric organization

More information

Flap Optimization for Take-off and Landing

Flap Optimization for Take-off and Landing Proceedings of the 10th Brazilian Congress of Thermal Sciences and Engineering -- ENCIT 2004 Braz. Soc. of Mechanical Sciences and Engineering -- ABCM, Rio de Janeiro, Brazil, Nov. 29 -- Dec. 03, 2004

More information

Tutorial: 3D Pipe Junction Using Hexa Meshing

Tutorial: 3D Pipe Junction Using Hexa Meshing Tutorial: 3D Pipe Junction Using Hexa Meshing Introduction In this tutorial, you will generate a mesh for a three-dimensional pipe junction. After checking the quality of the first mesh, you will create

More information

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model CHAPTER 4 CURVES 4.1 Introduction In order to understand the significance of curves, we should look into the types of model representations that are used in geometric modeling. Curves play a very significant

More information

Anamorphic imaging with three mirrors: a survey

Anamorphic imaging with three mirrors: a survey Anamorphic imaging with three mirrors: a survey Joseph M. Howard Optics Branch (Code 551), NASA Goddard Space Flight Center, Greenbelt, MD 20771 Ph: 301-286-0690 Fax: 301-286-0204 Joseph.M.Howard@nasa.gov

More information

ABOUT THE GENERATION OF UNSTRUCTURED MESH FAMILIES FOR GRID CONVERGENCE ASSESSMENT BY MIXED MESHES

ABOUT THE GENERATION OF UNSTRUCTURED MESH FAMILIES FOR GRID CONVERGENCE ASSESSMENT BY MIXED MESHES VI International Conference on Adaptive Modeling and Simulation ADMOS 2013 J. P. Moitinho de Almeida, P. Díez, C. Tiago and N. Parés (Eds) ABOUT THE GENERATION OF UNSTRUCTURED MESH FAMILIES FOR GRID CONVERGENCE

More information

1.0 Background 1.1 Historical background 1.2 Cost of wind turbines

1.0 Background 1.1 Historical background 1.2 Cost of wind turbines 1.0 Background 1.1 Historical background Wind energy has been used for thousands of years for milling grain, pumping water and other mechanical power applications. Wind power is not a new concept. The

More information

Common Core Unit Summary Grades 6 to 8

Common Core Unit Summary Grades 6 to 8 Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity- 8G1-8G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations

More information

NIFA REGIONAL SAFECON 2006 Manual Flight Computer Accuracy Explanations

NIFA REGIONAL SAFECON 2006 Manual Flight Computer Accuracy Explanations NIFA REGIONAL SAFECON 2006 Manual Flight Computer Accuracy Explanations Note to competitor: This will offer some basic help in solving the problems on the test. There is often more than one way to correctly

More information

Everyday Mathematics. Grade 4 Grade-Level Goals CCSS EDITION. Content Strand: Number and Numeration. Program Goal Content Thread Grade-Level Goal

Everyday Mathematics. Grade 4 Grade-Level Goals CCSS EDITION. Content Strand: Number and Numeration. Program Goal Content Thread Grade-Level Goal Content Strand: Number and Numeration Understand the Meanings, Uses, and Representations of Numbers Understand Equivalent Names for Numbers Understand Common Numerical Relations Place value and notation

More information

Section 4: The Basics of Satellite Orbits

Section 4: The Basics of Satellite Orbits Section 4: The Basics of Satellite Orbits MOTION IN SPACE VS. MOTION IN THE ATMOSPHERE The motion of objects in the atmosphere differs in three important ways from the motion of objects in space. First,

More information

Experimental Wind Turbine Aerodynamics Research @LANL

Experimental Wind Turbine Aerodynamics Research @LANL Experimental Wind Turbine Aerodynamics Research @LANL B. J. Balakumar, Los Alamos National Laboratory Acknowledgment: SuhasPol(Post-doc), John Hoffman, Mario Servin, Eduardo Granados (Summer students),

More information

Aeronautical Testing Service, Inc. 18820 59th DR NE Arlington, WA 98223 USA. CFD and Wind Tunnel Testing: Complimentary Methods for Aircraft Design

Aeronautical Testing Service, Inc. 18820 59th DR NE Arlington, WA 98223 USA. CFD and Wind Tunnel Testing: Complimentary Methods for Aircraft Design Aeronautical Testing Service, Inc. 18820 59th DR NE Arlington, WA 98223 USA CFD and Wind Tunnel Testing: Complimentary Methods for Aircraft Design Background Introduction ATS Company Background New and

More information

Lecture 7 - Meshing. Applied Computational Fluid Dynamics

Lecture 7 - Meshing. Applied Computational Fluid Dynamics Lecture 7 - Meshing Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Outline Why is a grid needed? Element types. Grid types.

More information

(1) 2 TEST SETUP. Table 1 Summary of models used for calculating roughness parameters Model Published z 0 / H d/h

(1) 2 TEST SETUP. Table 1 Summary of models used for calculating roughness parameters Model Published z 0 / H d/h Estimation of Surface Roughness using CFD Simulation Daniel Abdi a, Girma T. Bitsuamlak b a Research Assistant, Department of Civil and Environmental Engineering, FIU, Miami, FL, USA, dabdi001@fiu.edu

More information

Copyright 2011 Casa Software Ltd. www.casaxps.com. Centre of Mass

Copyright 2011 Casa Software Ltd. www.casaxps.com. Centre of Mass Centre of Mass A central theme in mathematical modelling is that of reducing complex problems to simpler, and hopefully, equivalent problems for which mathematical analysis is possible. The concept of

More information

SIX DEGREE-OF-FREEDOM MODELING OF AN UNINHABITED AERIAL VEHICLE. A thesis presented to. the faculty of

SIX DEGREE-OF-FREEDOM MODELING OF AN UNINHABITED AERIAL VEHICLE. A thesis presented to. the faculty of SIX DEGREE-OF-FREEDOM MODELING OF AN UNINHABITED AERIAL VEHICLE A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirement

More information

Coupled CFD and Vortex Methods for Modelling Hydro- and Aerodynamics of Tidal Current Turbines and On- and Offshore Wind Turbines

Coupled CFD and Vortex Methods for Modelling Hydro- and Aerodynamics of Tidal Current Turbines and On- and Offshore Wind Turbines Coupled CFD and Vortex Methods for Modelling Hydro- and Aerodynamics of Tidal Current Turbines and On- and Offshore Wind Turbines SIMPACK User Meeting 2014 Augsburg, Germany October 9 th, 2014 Dipl.-Ing.

More information

Everyday Mathematics. Grade 4 Grade-Level Goals. 3rd Edition. Content Strand: Number and Numeration. Program Goal Content Thread Grade-Level Goals

Everyday Mathematics. Grade 4 Grade-Level Goals. 3rd Edition. Content Strand: Number and Numeration. Program Goal Content Thread Grade-Level Goals Content Strand: Number and Numeration Understand the Meanings, Uses, and Representations of Numbers Understand Equivalent Names for Numbers Understand Common Numerical Relations Place value and notation

More information

A CFD Study of Wind Turbine Aerodynamics

A CFD Study of Wind Turbine Aerodynamics A CFD Study of Wind Turbine Aerodynamics Chris Kaminsky *, Austin Filush *, Paul Kasprzak * and Wael Mokhtar ** Department of Mechanical Engineering Grand Valley State University Grand Rapids, Michigan

More information

Lecture L2 - Degrees of Freedom and Constraints, Rectilinear Motion

Lecture L2 - Degrees of Freedom and Constraints, Rectilinear Motion S. Widnall 6.07 Dynamics Fall 009 Version.0 Lecture L - Degrees of Freedom and Constraints, Rectilinear Motion Degrees of Freedom Degrees of freedom refers to the number of independent spatial coordinates

More information

Customer Training Material. Lecture 2. Introduction to. Methodology ANSYS FLUENT. ANSYS, Inc. Proprietary 2010 ANSYS, Inc. All rights reserved.

Customer Training Material. Lecture 2. Introduction to. Methodology ANSYS FLUENT. ANSYS, Inc. Proprietary 2010 ANSYS, Inc. All rights reserved. Lecture 2 Introduction to CFD Methodology Introduction to ANSYS FLUENT L2-1 What is CFD? Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions,

More information

Prop Rotor Acoustics for Conceptual Design. Final Report NASA Grant NAG 2-918. Valana L. Wells Arizona State University

Prop Rotor Acoustics for Conceptual Design. Final Report NASA Grant NAG 2-918. Valana L. Wells Arizona State University Prop Rotor Acoustics for Conceptual Design Final Report NASA Grant NAG 2-918 Valana L. Wells Arizona State University April 1996 Abstract The report describes a methodology for the simple prediction of

More information