Analysis of Total Energy Probes for Sailplane Application N Aucamp
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Aerodynamics Material - Taylor & Francis
CopyrightAerodynamics material - Taylor & Francis ______________________________________________________________________ 257 Aerodynamics Symbol List Symbol Definition Units a speed of sound ⁄ a speed of sound at sea level ⁄ A area aspect ratio ‐‐‐‐‐‐‐‐ b wing span c chord length c Copyrightmean aerodynamic material chord- Taylor & Francis specific heat at constant pressure of air · root chord tip chord specific heat at constant volume of air · / quarter chord total drag coefficient ‐‐‐‐‐‐‐‐ , induced drag coefficient ‐‐‐‐‐‐‐‐ , parasite drag coefficient ‐‐‐‐‐‐‐‐ , wave drag coefficient ‐‐‐‐‐‐‐‐ local skin friction coefficient ‐‐‐‐‐‐‐‐ lift coefficient ‐‐‐‐‐‐‐‐ , compressible lift coefficient ‐‐‐‐‐‐‐‐ compressible moment ‐‐‐‐‐‐‐‐ , coefficient , pitching moment coefficient ‐‐‐‐‐‐‐‐ , rolling moment coefficient ‐‐‐‐‐‐‐‐ , yawing moment coefficient ‐‐‐‐‐‐‐‐ ______________________________________________________________________ 258 Aerodynamics Aerodynamics Symbol List (cont.) Symbol Definition Units pressure coefficient ‐‐‐‐‐‐‐‐ compressible pressure ‐‐‐‐‐‐‐‐ , coefficient , critical pressure coefficient ‐‐‐‐‐‐‐‐ , supersonic pressure coefficient ‐‐‐‐‐‐‐‐ D total drag induced drag Copyright material - Taylor & Francis parasite drag e span efficiency factor ‐‐‐‐‐‐‐‐ L lift pitching moment · rolling moment · yawing moment · M mach number ‐‐‐‐‐‐‐‐ critical mach number ‐‐‐‐‐‐‐‐ free stream mach number ‐‐‐‐‐‐‐‐ P static pressure ⁄ total pressure ⁄ free stream pressure ⁄ q dynamic pressure ⁄ R -
8. Level, Non-Accelerated Flight
Performance 8. Level, Non-Accelerated Flight For non-accelerated flight, the tangential acceleration, , and normal acceleration, . As a result, the governing equations become: (1) If we add the additional assumptions of level flight, , and that the thrust is aligned with the velocity vector, , then Eq. (1) reduces to the simple form: (2) The last two equations tell us that the altitude is a constant, and the velocity is the range rate. For now, however, we are interested in the first two equations that can be rewritten as: (3) The key thing to remember about these equations is that the weight,W,isagivenand it is equal to the Lift. Consequently, lift is not at our disposal, it must equal the given weight! Thus for a given aircraft and any given altitude, we can determine the required lift coefficient (and hence angle-of-attack) for any given airspeed. (4) Therefore at a given weight and altitude, the lift coefficient varies as 1 over V2. A sketch of lift coefficient vs. speed looks as follows: 1 It is clear from the figure that as the vehicle slows down, in order to remain in level flight, the lift coefficient (and hence angle-of-attack) must increase. [You can think of it in terms of the momentum flux. The momentum flux (the mass flow rate time the velocity out in the z direction) creates the lift force. Since the mass flow rate is directional proportional to the velocity, then the slower we go, the more the air must be deflected downward. We do this by increasing the angle-of-attack!]. -
Overview of Pressure Coefficient Data in Building Energy Simulation and Airflow Network Programs
PREPRINT: Costola D, Blocken B, Hensen JLM. 2009. Overview of pressure coefficient data in building energy simulation and airflow network programs. Building and Environment. In press. Overview of pressure coefficient data in building energy simulation and airflow network programs D. Cóstola*, B. Blocken, J.L.M. Hensen Building Physics and Systems, Eindhoven University of Technology, the Netherlands Abstract Wind pressure coefficients (Cp) are influenced by a wide range of parameters, including building geometry, facade detailing, position on the facade, the degree of exposure/sheltering, wind speed and wind direction. As it is practically impossible to take into account the full complexity of pressure coefficient variation, Building Energy Simulation (BES) and Air Flow Network (AFN) programs generally incorporate it in a simplified way. This paper provides an overview of pressure coefficient data and the extent to which they are currently implemented in BES-AFN programs. A distinction is made between primary sources of Cp data, such as full- scale measurements, reduced-scale measurements in wind tunnels and computational fluid dynamics (CFD) simulations, and secondary sources, such as databases and analytical models. The comparison between data from secondary sources implemented in BES-AFN programs shows that the Cp values are quite different depending on the source adopted. The two influencing parameters for which these differences are most pronounced are the position on the facade and the degree of exposure/sheltering. The comparison of Cp data from different sources for sheltered buildings shows the largest differences, and data from different sources even present different trends. The paper concludes that quantification of the uncertainty related to such data sources is required to guide future improvements in Cp implementation in BES-AFN programs. -
Upwind Sail Aerodynamics : a RANS Numerical Investigation Validated with Wind Tunnel Pressure Measurements I.M Viola, Patrick Bot, M
Upwind sail aerodynamics : A RANS numerical investigation validated with wind tunnel pressure measurements I.M Viola, Patrick Bot, M. Riotte To cite this version: I.M Viola, Patrick Bot, M. Riotte. Upwind sail aerodynamics : A RANS numerical investigation validated with wind tunnel pressure measurements. International Journal of Heat and Fluid Flow, Elsevier, 2012, 39, pp.90-101. 10.1016/j.ijheatfluidflow.2012.10.004. hal-01071323 HAL Id: hal-01071323 https://hal.archives-ouvertes.fr/hal-01071323 Submitted on 8 Oct 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. I.M. Viola, P. Bot, M. Riotte Upwind Sail Aerodynamics: a RANS numerical investigation validated with wind tunnel pressure measurements International Journal of Heat and Fluid Flow 39 (2013) 90–101 http://dx.doi.org/10.1016/j.ijheatfluidflow.2012.10.004 Keywords: sail aerodynamics, CFD, RANS, yacht, laminar separation bubble, viscous drag. Abstract The aerodynamics of a sailing yacht with different sail trims are presented, derived from simulations performed using Computational Fluid Dynamics. A Reynolds-averaged Navier- Stokes approach was used to model sixteen sail trims first tested in a wind tunnel, where the pressure distributions on the sails were measured. -
Introduction to Aerospace Engineering
Introduction to Aerospace Engineering Lecture slides Challenge the future 1 Introduction to Aerospace Engineering Aerodynamics 11&12 Prof. H. Bijl ir. N. Timmer 11 & 12. Airfoils and finite wings Anderson 5.9 – end of chapter 5 excl. 5.19 Topics lecture 11 & 12 • Pressure distributions and lift • Finite wings • Swept wings 3 Pressure coefficient Typical example Definition of pressure coefficient : p − p -Cp = ∞ Cp q∞ upper side lower side -1.0 Stagnation point: p=p t … p t-p∞=q ∞ => C p=1 4 Example 5.6 • The pressure on a point on the wing of an airplane is 7.58x10 4 N/m2. The airplane is flying with a velocity of 70 m/s at conditions associated with standard altitude of 2000m. Calculate the pressure coefficient at this point on the wing 4 2 3 2000 m: p ∞=7.95.10 N/m ρ∞=1.0066 kg/m − = p p ∞ = − C p Cp 1.50 q∞ 5 Obtaining lift from pressure distribution leading edge θ V∞ trailing edge s p ds dy θ dx = ds cos θ 6 Obtaining lift from pressure distribution TE TE Normal force per meter span: = θ − θ N ∫ pl cos ds ∫ pu cos ds LE LE c c θ = = − with ds cos dx N ∫ pl dx ∫ pu dx 0 0 NN Write dimensionless force coefficient : C = = n 1 ρ 2 2 Vc∞ qc ∞ 1 1 p − p x 1 p − p x x = l ∞ − u ∞ C = ()C −C d Cn d d n ∫ pl pu ∫ q c ∫ q c 0 ∞ 0 ∞ 0 c 7 T=Lsin α - Dcosα N=Lcos α + Dsinα L R N α T D V α = angle of attack 8 Obtaining lift from normal force coefficient =α − α =α − α L Ncos T sin cl c ncos c t sin L N T =cosα − sin α qc∞ qc ∞ qc ∞ For small angle of attack α≤5o : cos α ≈ 1, sin α ≈ 0 1 1 C≈() CCdx − () l∫ pl p u c 0 9 Example 5.11 Consider an airfoil with chord length c and the running distance x measured along the chord. -
Powered Paraglider Longitudinal Dynamic Modeling and Experimentation
POWERED PARAGLIDER LONGITUDINAL DYNAMIC MODELING AND EXPERIMENTATION By COLIN P. GIBSON Bachelor of Science in Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 2014 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE December, 2016 POWERED PARAGLIDER LONGITUDINAL DYNAMIC MODELING AND EXPERIMENTATION Thesis Approved: Dr. Andrew S. Arena Thesis Adviser Dr. Joseph P. Conner Dr. Jamey D. Jacob ii Name: COLIN P. GIBSON Date of Degree: DECEMBER, 2016 Title of Study: POWERED PARAGLIDER LONGITUDINAL DYNAMIC MODELING AND EXPERIMENTATION Major Field: MECHANICAL AND AEROSPACE ENGINEERING Abstract: Paragliders and similar controllable decelerators provide the benefits of a compact packable parachute with the improved glide performance and steering of a conventional wing, making them ideally suited for precise high offset payload recovery and airdrop missions. This advantage over uncontrollable conventional parachutes sparked interest from Oklahoma State University for implementation into its Atmospheric and Space Threshold Research Oklahoma (ASTRO) program, where payloads often descend into wooded areas. However, due to complications while building a powered paraglider to evaluate the concept, more research into its design parameters was deemed necessary. Focus shifted to an investigation of the effects of these parameters on the flight behavior of a powered system. A longitudinal dynamic model, based on Lagrange’s equation for adaptability when adding free-hanging masses, was developed to evaluate trim conditions and analyze system response. With the simulation, the effects of rigging angle, fuselage weight, center of gravity (cg), and apparent mass were calculated through step thrust input cases. -
Static Pressure Distribution on Long Cylinders As a Function of the Yaw Angle and Reynolds Number
fluids Article Static Pressure Distribution on Long Cylinders as a Function of the Yaw Angle and Reynolds Number William W. Willmarth 1,† and Timothy Wei 2,* 1 Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, USA 2 Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA * Correspondence: [email protected] † Deceased author. Abstract: This paper addresses the challenges of pressure-based sensing using axisymmetric probes whose axes are at small angles to the mean flow. Mean pressure measurements around three yawed circular cylinders with aspect ratios of 28, 64, and 100 were made to determine the effect of changes in the yaw angle, g, and freestream velocity on the average pressure coefficient, CpN, and drag coeffi- cient, CDN. The existence of four distinct types of circumferential pressure distributions—subcritical, transitional, supercritical, and asymmetric—were confirmed, along with the appropriateness of scaling CpN and CDN on a streamwise Reynolds number, Resw, based on the freestream velocity and the fluid path length along the cylinder in the streamwise direction. It was found that there was a distinct difference in the values of CDN and CpN at identical Resw values for cylinders yawed between 5◦ and 30◦, and for cylinders at greater than a 30◦ yaw. For g < 5◦, there did not appear to be any large-scale vortices in the near wake, and CDN and CpN appeared to become independent of ◦ ◦ Resw. Over the range of 5 ≤ g ≤ 30 , there was a complex interplay of freestream speed, yaw angle, and aspect ratio that affected the formation and shedding of Kármán-like vortices. -
Calculation of Optimum Angle of Attack to Determine Maximum Lift To
Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN: 3159-0040 Vol. 2 Issue 5, May - 2015 Calculation of Optimum Angle of Attack to Determine Maximum Lift to Drag Ratio of NACA 632-215 Airfoil Haci Sogukpinar Ismail Bozkurt Department of Energy Systems Engineering, Department of Mechanical Engineering, Faculty of Technology, University of Adiyaman, Faculty of Engineering, University of Adiyaman, Adiyaman 02040, Turkey, Adiyaman 02040, Turkey. [email protected] [email protected] Abstract—Wind energy is an important source examined. Gharali and Johnson [4] simulated an to meet future energy needs. Therefore, oscillating free stream over a stationary S809 airfoil investigations on wind power technology are numerically by using ANSYS Fluent for comparison the progressing rapidly. In this study, numerical laminar-turbulent transition with the realizable k–, simulation of airfoil was conducted to determine SST and k–w models. Thumthae and Chitsomboon [5] optimum angle of attack for horizontal axis wind investigated the numerical simulation of horizontal axis turbine. This study simulates air flow around wind turbines with untwisted blade to determine the inclined NACA 632-215 airfoil using SST optimal angle of attack that produces the highest turbulence model. Lift, drag coefficient, lift to drag power output. The computational results of the 12⁰ ratio and power coefficient around the airfoil were pitch was compared favorably with the field calculated and compared with different velocity. experimental data of The National Renewable With the increasing of wind velocity, lift and drag Laboratory. Lee et. al. [6] evaluated the performance coefficient increases and maximum lift to drag of a blade with blunt airfoil which was adapted at the ratio starts to increase then degreases again. -
Potential Equations and Pressure Coefficient For
International Journal of Theoretical & Applied Sciences, 9(1): 35-42(2017) ISSN No. (Print): 0975-1718 ISSN No. (Online): 2249-3247 Potential Equations and Pressure Coefficient for Compressible Flow: Comparison between Compressible and Incompressible Flow in Aerodynamics Menka Yadav * and Santosh Kumar Yadav ** *Research Scholar, J.J.T. University. Rajasthan, India ** Director (A&R), J.J.T. University, Rajasthan, India (Corresponding author: (Corresponding author: Menka Yadav) (Received 02 March, 2017 accepted 05 April, 2017) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: We derive the potential equation for slender bodies and seek to understand the flow field equations for subsonic, supersonic and transonic flow in framework of small perturbation. Large amount of heat and mass can be transferred in a efficient way between the surface and fluid when flow is released against the surface. When aircraft passes through several distinct regions, the flow develops a velocity and pressure profile. In stagnation-region large scale turbulent flow affects transfer coefficient. At the face of object total pressure is higher than behind the object. Profile slopes shows that compressible and incompressible flows are related via certain equations. Zero Mach number incompressible medium causes pressure disturbances to move uniformly in all directions. Flow of heat and mass transfer is strongly affected by the geometry of the device. Keywords: Mach number, Pressure drag, Shock wave, Slender bodies, Velocity profile. I. INTRODUCTION called lift, which acts on the wing. Velocity varies along the wing chord and in the direction normal to its surface. Flow having significant changes in fluid density are The region adjacent to the wall, where the velocity known as compressible flow or flow with Mach number increases from zero to freestream value is known as the greater than 0.3 is treated as compressible. -
Flight Evaluation of a Simple Total Energy-Rate System with Potential Wind-Shear Application
I NASA TP 1854 c.1 ,! NASA Technical Paper 1854 Flight Evaluation of a Simple Total Energy-Rate System With Potential Wind-Shear Application Aaron J. Ostroff, Richard M. Hueschen, R. F. Hellbaum, and J. F. Creedon MAY 1981 - Ill TECH LIBRARY KAFB, NM I llllll lllll lllll lllll lllll Ill#lllll1111 Ill 00b77b7 NASA Technical Paper 1854 Flight Evaluation of a Simple Total Energy-Rate System With Potential Wind-Shear Application Aaron J. Ostroff, Richard M. Hueschen, R. F. Hellbaum, and J. F. Creedon LaizgIey Research Ceizter Hrtinptoiz, Virgiizia NASA National Aeronautics and Space Administration Scientific and Technical Information Branch 1981 I SUMMARY Wind shears can create havoc during aircraft terminal area operations and have been cited as the primary cause of several major aircraft accidents. A simple sensor, potentially having application to the wind-shear problem, has been developed to rapidly measure aircraft total energy relative to the air mass. Combining this sensor with either a variometer or a rate-of-climb indi- cator provides a total energy-rate system which has been successfully applied in soaring flight. The measured rate of change of aircraft energy can poten- tially be used on display/control systems of powered aircraft to reduce glide- slope deviations caused by wind shear. This paper describes the experimental flight configuration and evaluations of the energy-rate system. Two mathematical models are developed: the first describes operation of the energy probe in a linear design region and the second model is for the nonlinear region. The calculated total energy rate is compared with measured signals for many different flight tests. -
Modelling & Implementation of Aerodynamic Zero-Lift Drag
School of Innovation, Design and Engineering BACHELOR THESIS IN AERONAUTICAL ENGINEERING 15 CREDITS, BASIC LEVEL 300 Modelling & implementation of Aerodynamic Zero-lift Drag into ADAPDT Author: David Bergman Report code: MDH.IDT.FLYG.0215.2009.GN300.15HP.Ae Dokumentslag Type of document Reg-nr Reg. No REPORT TDA-2009-0200 Ägare (tj-st-bet, namn) Owner (department, name) Datum Date Utgåva Issue Sida Page TDAA-EXB, David Bergman 2009-11-03 1 1 (46) Fastställd av Confirmed by Infoklass Info. class Arkiveringsdata File TDAA-RL, Roger Larsson PUBLIC TDA-ARKIV Giltigt för Valid for Ärende Subject Fördelning To Modelling & implementation of Aerodynamic Zero-lift TDAA-RL, TDAA-PW, TDAA-SH, Drag into ADAPDT TDAA-ET, TDAA-HJ, Gustaf Enebog (MDH) ABSTRACT The objective of this thesis work was to construct and implement an algorithm into the program ADAPDT to calculate the zero-lift drag profile for defined aircraft geometries. ADAPDT, short for AeroDynamic Analysis and Preliminary Design Tool, is a program that calculates forces and moments about a flat plate geometry based on potential flow theory. Zero-lift drag will be calculated by means of different hand-book methods found suitable for the objective and applicable to the geometry definition that ADAPDT utilizes. Drag has two main sources of origin: friction and pressure distribution, all drag acting on the aircraft can be traced back to one of these two physical phenomena. In aviation drag is divided into induced drag that depends on the lift produced and zero-lift drag that depends on the geometry of the aircraft. used, disclosedused, How reliable and accurate the zero-lift drag computations are depends on the geometry data that can be extracted and used. -
Chapter 9 Energy
VOLUME I PERFORMANCE FLIGHT TEST PHASE CHAPTER 9 ENERGY >£>* ^ AUGUST 1991 USAF TEST PILOT SCHOOL EDWARDS AFB, CA I Approved for public rate-erne; ! Distribution Uni;: r<cA 19970116 079 Table of Contents 9.1 INTRODUCTION 9.1 9.1.1 AIRCRAFT PERFORMANCE MODELS 9.1 9.1.2 NEED FOR NONSTEADY STATE MODELS 9.1 9.2 STEADY STATE CLIMBS AND DESCENTS 9.2 9.2.1 FORCES ACTING ON AN AIRCRAFT IN FLIGHT 9.2 9.2.2 ANGLE OF CLIMB PERFORMANCE 9.5 9.2.3 RATE OF CLIMB PERFORMANCE 9.9 9.2.4 TIME TO CLIMB DETERMINATION 9.14 9.2.5 GLIDING PERFORMANCE 9.16 9.2.6 POLAR DIAGRAMS 9.18 9.3 BASIC ENERGY STATE CONCEPTS 9.22 9.3.1 ASSUMPTIONS 9.22 9.3.2 ENERGY DEFINITIONS 9.23 9.3.3 SPECD7IC ENERGY 9.24 9.3.4 SPECD7IC EXCESS POWER 9.24 9.4 THEORETICAL BASIS FOR ENERGY OPTIMIZATIONS 9.25 9.5 GRAPHICAL TOOLS FOR ENERGY APPROXIMATION 9.25 9.5.1 SPECD7IC ENERGY OVERLAY 9.26 9.5.2 SPECmC EXCESS POWER PLOTS 9.28 9.6 TIME OPTIMAL CLIMBS 9.36 9.6.1 GRAPHICAL APPROXIMATIONS TO RUTOWSKI CONDITIONS 9.36 9.6.2 MINIMUM TIME TO ENERGY LEVEL PROFILES 9.37 9.6.3 SUBSONIC TO SUPERSONIC TRANSITIONS 9.38 9.7 FUEL OPTIMAL CLIMBS 9.40 9.7.1 FUEL EFFICIENCY 9.41 9.7.2 COMPARISON OF FUEL OPTIMAL AND TIME OPTIMAL PATHS 9.43 9.8 MANEUVERABILITY 9.44 9.9 INSTANTANEOUS MANEUVERABILITY 9.44 9.9.1 LIFT BOUNDARY LIMITATION 9.45 9.9.2 STRUCTURAL LIMITATION 9.46 9.9.3 qLIMTTATION 9.46 9.9.4 PILOT LIMITATIONS 9.46 9.10 THRUST LIMITATIONS/SUSTAINED MANEUVERABILITY 9.47 9.10.1 SUSTAINED TURN PERFORMANCE 9.47 9.10.2 FORCES IN ATURN 9.47 9.11 VERTICAL TURNS 9-52 9.12 OBLIQUE PLANE MANEUVERING 9.53 9.13