Point-Mass Dynamics and Aerodynamic/Thrust Forces

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Point-Mass Dynamics and Aerodynamic/Thrust Forces Robert Stengel, Aircraft Flight Dynamics, MAE 331, 2018 Learning Objectives • Properties of atmosphere • Frames of reference • Velocity and momentum • Newtons laws of motion • Airplane axes • Lift and drag • Simplified equations for longitudinal motion • Powerplants and thrust Reading: Flight Dynamics Introduction, 1-27 The Earth’s Atmosphere, 29-34 Kinematic Equations, 38-53 Forces and Moments, 59-65 Introduction to Thrust, 103-107 Copyright 2018 by Robert Stengel. All rights reserved. For educational use only. http://www.princeton.edu/~stengel/MAE331.html 1 http://www.princeton.edu/~stengel/FlightDynamics.html The Atmosphere 2 1 Properties of the Lower Atmosphere* Stratosphere Tropopause Troposphere • Density and pressure decay exponentially with altitude • Temperature and speed of sound are piecewise-linear functions of altitude 3 * 1976 US Standard Atmosphere Air Density, Dynamic Pressure, and Mach Number ρ = Air density, functionof height −βh βz = ρsealevele = ρsealevele 3 ρsealevel = 1.225kg/m ; β = 1/ 9,042m 1/2 1/2 V = !v2 + v2 + v2 # = !vT v# = Airspeed air " x y z $air " $air 1 2 Dynamic pressure = q = ρ (h)Vair ! "qbar" 2 V Mach number = air ; a = speed of sound, m/s a h ( ) 4 2 Contours of Constant Dynamic Pressure, q 1 • In steady, cruising flight, Weight = Lift = C ρV 2 S = C qS L 2 air L True airspeed must increase as altitude increases 5 to maintain constant dynamic pressure Wind: Motion of the Atmosphere Zero wind at Earths surface = Rotating air mass Wind measured with respect to Earths rotating surface Wind Velocity Profiles vary over Time Airspeed = Airplanes speed with respect to air mass Earth-relative velocity = Wind velocity True airspeed [vector] 6 3 Historical Factoids • Henri Pitot: Pitot tube (1732) Sir George Cayley • Sketched "modern" airplane configuration (1799) • Hand-launched glider (1804) • Applied aerodynamics (1809-1810) • Triplane glider carrying 10-yr-old boy (1849) • Monoplane glider carrying coachman • Benjamin Robins: Whirling (1853) arm "wind tunnel (1742) – Cayley's coachman had a steering oar with cruciform blades NASA SP-440, Wind Tunnels of NASA 7 Equations of Motion for a Particle (Point Mass) 8 4 Newtonian Frame of Reference § Newtonian (Inertial) Reference Frame § Unaccelerated Cartesian frame: origin referenced to inertial (non-moving) frame § Right-hand rule § Origin can translate at constant linear velocity § Frame cannot rotate with respect to inertial origin ⎡ x ⎤ § Position: 3 dimensions ⎢ ⎥ § What is a non-moving frame? r = ⎢ y ⎥ ⎣⎢ z ⎦⎥ Translation changes the position of an object 9 Velocity and Momentum § Velocity of a particle ⎡ ⎤ ⎡ x ⎤ vx dx ⎢ ⎥ ⎢ ⎥ v = = x = y = ⎢ vy ⎥ dt ⎢ ⎥ ⎢ z ⎥ ⎢ ⎥ ⎣ ⎦ vz ⎣⎢ ⎦⎥ § Linear momentum of a particle ⎡ v ⎤ ⎢ x ⎥ p = mv = m ⎢ vy ⎥ ⎢ v ⎥ ⎣⎢ z ⎦⎥ where m = mass of particle 10 5 Inertial Velocity Expressed in Polar Coordinates Polar Coordinates Projected on a Sphere γ : Vertical Flight Path Angle, rad or deg ξ : Horizontal Flight Path Angle (Heading Angle), rad or deg 11 Newtons Laws of Motion: Dynamics of a Particle § First Law: If no force acts on a particle, § it remains at rest or § continues to move in a straight line at constant velocity, as observed in an inertial reference frame § Momentum is conserved d (mv) = 0 ; mv = mv dt t1 t2 12 6 Newtons Laws of Motion: Dynamics of a Particle § Second Law: Particle of fixed mass acted upon by a force § changes velocity with acceleration proportional to and in direction of force, as observed in inertial frame § Mass is ratio of force to acceleration of particle: ⎡ ⎤ fx d dv ⎢ ⎥ F = ma (mv) = m = F ; F = ⎢ fy ⎥ dt dt ⎢ f ⎥ ⎣⎢ z ⎦⎥ ⎡ ⎤ ⎡ 1 / m 0 0 ⎤ fx dv 1 1 ⎢ ⎥ ⎢ ⎥ ∴ = F = I3F = 0 1 / m 0 ⎢ fy ⎥ dt m m ⎢ ⎥ ⎣⎢ 0 0 1 / m ⎦⎥ ⎢ f ⎥ ⎣⎢ z ⎦⎥ 13 Newtons Laws of Motion: Dynamics of a Particle § Third Law § For every action, there is an equal and opposite reaction Force on Rocket = Force on Exhaust Gasses 14 7 Equations of Motion for a Particle: Position and Velocity Force vector ⎡ f ⎤ ⎢ x ⎥ F = f = ⎡F + F + F ⎤ I ⎢ y ⎥ ⎣ gravity aerodynamics thrust ⎦I ⎢ ⎥ fz ⎣⎢ ⎦⎥I Rate of change of velocity ⎡ ⎤ ⎡ ⎤ v!x ⎡ 1/ m 0 0 ⎤ fx dv ⎢ ⎥ 1 ⎢ ⎥⎢ ⎥ = v! = v! = F = 0 1/ m 0 f dt ⎢ y ⎥ m ⎢ ⎥⎢ y ⎥ ⎢ v ⎥ ⎣⎢ 0 0 1/ m ⎦⎥⎢ f ⎥ ⎢ !z ⎥ ⎢ z ⎥ ⎣ ⎦I ⎣ ⎦I ⎡ ⎤ ⎡ x! ⎤ vx Rate of change dr ⎢ ⎥ ⎢ ⎥ of position = r! = y! = v = v dt ⎢ ⎥ ⎢ y ⎥ ⎢ z! ⎥ ⎢ v ⎥ ⎣ ⎦I ⎢ z ⎥ 15 ⎣ ⎦I Integration for Velocity with Constant Force Differential equation ⎡ ⎤ ⎡ ⎤ fx m ax dv t 1 ⎢ ⎥ ⎢ ⎥ ( ) f m = v! (t) = F = ⎢ y ⎥ = ⎢ ay ⎥ dt m ⎢ ⎥ f m ⎢ a ⎥ ⎢ z ⎥ ⎢ z ⎥ ⎣ ⎦ ⎣ ⎦ Integral T dv(t) T 1 T v(T ) = dt + v(0) = Fdt + v(0) = adt + v(0) ∫0 dt ∫0 m ∫0 ⎡ ⎤ ⎡ ⎤ ⎡ ⎤ ⎡ ⎤ ⎡ ⎤ vx (T ) fx m vx (0) ax vx (0) ⎢ ⎥ T ⎢ ⎥ ⎢ ⎥ T ⎢ ⎥ ⎢ ⎥ ⎢ vy (T ) ⎥ = ⎢ fy m ⎥dt + ⎢ vy (0) ⎥ = ⎢ ay ⎥dt + ⎢ vy (0) ⎥ ∫0 ∫0 ⎢ ⎥ ⎢ ⎥ ⎢ ⎥ ⎢ ⎥ ⎢ ⎥ v T f m v 0 a v 0 ⎣⎢ z ( ) ⎦⎥ ⎣⎢ z ⎦⎥ ⎣⎢ z ( ) ⎦⎥ ⎣⎢ z ⎦⎥ ⎣⎢ z ( ) ⎦⎥ 16 8 Integration for Position with Varying Velocity Differential equation ⎡ ⎤ ⎡ ⎤ x!(t) vx (t) dr(t) ⎢ ⎥ ⎢ ⎥ = r!(t) = v(t) = ⎢ y!(t) ⎥ = ⎢ vy (t) ⎥ dt ⎢ ⎥ ⎢ ⎥ z! t v t ⎣⎢ ( ) ⎦⎥ ⎢ z ( ) ⎥ ⎣ ⎦ Integral T dr(t) T r(T ) = dt + r(0) = v(t)dt + r(0) ∫0 dt ∫0 ⎡ ⎤ ⎡ ⎤ ⎡ ⎤ x(T ) vx (t) x(0) ⎢ ⎥ T ⎢ ⎥ ⎢ ⎥ ⎢ y(T ) ⎥ = ⎢ vy (t) ⎥dt + ⎢ y(0) ⎥ ∫0 ⎢ ⎥ ⎢ ⎥ ⎢ ⎥ z T v t z 0 ⎣⎢ ( ) ⎦⎥ ⎢ z ( ) ⎥ ⎣⎢ ( ) ⎦⎥ ⎣ ⎦ 17 Gravitational Force: Flat-Earth Approximation § Approximation § g is gravitational § Flat earth reference assumed to acceleration be inertial frame, e.g., § mg is gravitational force § North, East, Down § Range, Crossrange, Altitude (–) § Independent of position § z measured down ⎡ 0 ⎤ ⎢ ⎥ F = F = mg = m 0 ( gravity )I ( gravity )E E ⎢ ⎥ ⎢ go ⎥ ⎣ ⎦E g ! 9.807 m/s2 at earth's surface o 18 9 Flight Path Dynamics, Constant Gravity, No Aerodynamics Integral vx (T ) = vx v 0 v 0 x ( ) = x0 T v 0 = v z ( ) z0 vz (T ) = vz − gdt = vz − gT 0 ∫ 0 0 x(0) = x0 x T x v T ( ) = 0 + x0 z(0) = z0 T Differential equation 2 z(T ) = z0 + vz T − gt dt = z0 + vz T − gT 2 0 ∫ 0 0 v!x (t) = 0 v!z (t) = −g (z positive up) x!(t) = vx (t) z!(t) = vz (t) 19 Flight Path with Constant Gravity and No Aerodynamics 20 10 Aerodynamic Force on an Airplane Earth-Reference Frame Body-Axis Frame Wind-Axis Frame ⎡ ⎤ ⎡ X ⎤ CX ⎢ ⎥ 1 F = ⎢ Y ⎥ = C ρV 2 S I ⎢ ⎥ ⎢ Y ⎥ air 2 ⎡ ⎤ Z ⎢ ⎥ CX ⎡ C ⎤ ⎣⎢ ⎦⎥E CZ D ⎣ ⎦E ⎢ ⎥ ⎢ ⎥ FB = ⎢ CY ⎥ q S FV = ⎢ CY ⎥q S ⎡ ⎤ ⎢ ⎥ CX C Z ⎢ C ⎥ ⎢ ⎥ ⎣ ⎦B ⎣ L ⎦ = ⎢ CY ⎥ q S ⎢ ⎥ Aligned with the CZ Aligned with and ⎣ ⎦E aircraft axes (e.g., perpendicular to the Referenced to the Earth, not Nose, Wing Tip, velocity vector the aircraft (e.g., North, East, Down) (Forward, Sideward, Down) Down) 21 Non-Dimensional Aerodynamic Coefficients Body-Axis Frame Wind-Axis Frame ⎡ C ⎤ ⎡ axial force coefficient ⎤ ⎡ C ⎤ ⎡ drag coefficient ⎤ ⎢ X ⎥ ⎢ ⎥ ⎢ D ⎥ ⎢ ⎥ ⎢ CY ⎥ = ⎢ side force coefficient ⎥ ⎢ CY ⎥= ⎢ side force coefficient ⎥ ⎢ ⎥ ⎢ ⎥ ⎢ ⎥ ⎢ ⎥ CZ normal force coefficient CL lift coefficient ⎣ ⎦B ⎣ ⎦ ⎣ ⎦ ⎣ ⎦ • Functions of flight condition, control settings, and disturbances, e.g., CL = CL(δ, M, δE) • Non-dimensional coefficients allow application of sub-scale model wind tunnel data to full-scale airplane 22 11 Longitudinal Variables γ = θ − α (with wingtips level) u(t) :axial velocity • along vehicle centerline w(t) :normal velocity • perpendicular to centerline V (t) :velocity magnitude • along net direction of flight α (t) :angle of attack • angle between centerline and direction of flight γ (t) :flight path angle • angle between direction of flight and local horizontal • angle between centerline and local horizontal θ(t) :pitch angle 23 Lateral-Directional Variables ξ = ψ + β (with wingtips level) β(t) :sideslip angle • angle between centerline and direction of flight ψ (t) :yaw angle • angle between centerline and local horizontal • angle between direction of flight and compass reference ξ (t) :heading angle (e.g., north) φ t :roll angle • angle between true vertical and body z axis ( ) 24 12 Introduction to Lift and Drag 25 Lift and Drag are Referenced to Velocity Vector 1 % ∂C (1 Lift = C ρV 2 S ≈ C + L α ρV 2 S L 2 air &' L0 ∂α )*2 air • Lift components sum to produce total lift – Perpendicular to velocity vector – Pressure differential between upper and lower surfaces 1 1 Drag = C ρV 2 S ≈ $C +εC 2 & ρV 2 S D 2 air % D0 L '2 air • Drag components sum to produce total drag – Parallel and opposed to velocity vector – Skin friction, pressure differentials 26 13 2-D Aerodynamic Lift 1 1 % ∂C ( L•iftFast= C flowρV over2 S ≈ topC + +slowC flow+C over bottomρV 2 S ≈ = CMean+ flowL α +qS L air ( Lwing L fuselage Ltail ) air ' L0 * Circulation2 2 & ∂α ) • Upper/lower speed difference proportional to angle of attack • Stagnation points at leading and trailing edges • Kutta condition: Aft stagnation point at sharp trailing edge Streamlines Streaklines Instantaneous tangent to velocity vector Locus of particles passing through points Dye injected at fixed points http://www.diam.unige.it/~irro/profilo_e.html 27 3-D Lift Inward-Outward Flow Tip Vortices Inward flow over upper surface Outward flow over lower surface Bound vorticity of wing produces tip vortices 28 14 2-D vs. 3-D Lift Identical Chord Sections Infinite vs. Finite Span Finite aspect ratio reduces lift slope What is aspect ratio? Talay, NASA-SP-367 29 Aerodynamic Drag 1 1 Drag = C ρV 2 S ≈ C + C + C ρV 2 S ≈ ⎡C + εC 2 ⎤qS D 2 air ( Dp Dw Di ) 2 air ⎣ D0 L ⎦ • Drag components – Parasite drag (friction, interference, base pressure differential) – Wave drag (shock-induced pressure differential) – Induced drag (drag due to lift generation) • In steady, subsonic flight – Parasite (form) drag increases as V2 – Induced
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    Lecture 19 Physics I Chapter 12 Center of Mass Moment of Inertia Course website: http://faculty.uml.edu/Andriy_Danylov/Teaching/PhysicsI PHYS.1410 Lecture 19 Danylov Department of Physics and Applied Physics IN THIS CHAPTER, you will start discussing rotational dynamics Today we are going to discuss: Chapter 12: Rotation about the Center of Mass: Section 12.2 (skip “Finding the CM by Integration) Rotational Kinetic Energy: Section 12.3 Moment of Inertia: Section 12.4 PHYS.1410 Lecture 19 Danylov Department of Physics and Applied Physics Center of Mass (CM) PHYS.1410 Lecture 19 Danylov Department of Physics and Applied Physics Center of Mass (CM) idea We know how to address these problems: How to describe motions like these? It is a rigid object. Translational plus rotational motion We also know how to address this motion of a single particle - kinematic equations The general motion of an object can be considered as the sum of translational motion of a certain point, plus rotational motion about that point. That point is called the center of mass point. PHYS.1410 Lecture 19 Danylov Department of Physics and Applied Physics Center of Mass: Definition m1r1 m2r2 m3r3 Position vector of the CM: r M m1 m2 m3 CM total mass of the system m1 m2 m3 n 1 The center of mass is the rCM miri mass-weighted center of M i1 the object Component form: m2 1 n m1 xCM mi xi r2 M i1 rCM (xCM , yCM , zCM ) n r1 1 yCM mi yi M i1 r 1 n 3 m3 zCM mi zi M i1 PHYS.1410 Lecture 19 Danylov Department of Physics and Applied Physics Example Center
  • Newton Euler Equations of Motion Examples

    Newton Euler Equations of Motion Examples

    Newton Euler Equations Of Motion Examples Alto and onymous Antonino often interloping some obligations excursively or outstrikes sunward. Pasteboard and Sarmatia Kincaid never flits his redwood! Potatory and larboard Leighton never roller-skating otherwhile when Trip notarizes his counterproofs. Velocity thus resulting in the tumbling motion of rigid bodies. Equations of motion Euler-Lagrange Newton-Euler Equations of motion. Motion of examples of experiments that a random walker uses cookies. Forces by each other two examples of example are second kind, we will refer to specify any parameter in. 213 Translational and Rotational Equations of Motion. Robotics Lecture Dynamics. Independence from a thorough description and angular velocity as expected or tofollowa userdefined behaviour does it only be loaded geometry in an appropriate cuts in. An interface to derive a particular instance: divide and author provides a positive moment is to express to output side can be run at all previous step. The analysis of rotational motions which make necessary to decide whether rotations are. For xddot and whatnot in which a very much easier in which together or arena where to use them in two backwards operation complies with respect to rotations. Which influence of examples are true, is due to independent coordinates. On sameor adjacent joints at each moment equation is also be more specific white ellipses represent rotations are unconditionally stable, for motion break down direction. Unit quaternions or Euler parameters are known to be well suited for the. The angular momentum and time and runnable python code. The example will be run physics examples are models can be symbolic generator runs faster rotation kinetic energy.
  • Post-Newtonian Approximations and Applications

    Post-Newtonian Approximations and Applications

    Monash University MTH3000 Research Project Coming out of the woodwork: Post-Newtonian approximations and applications Author: Supervisor: Justin Forlano Dr. Todd Oliynyk March 25, 2015 Contents 1 Introduction 2 2 The post-Newtonian Approximation 5 2.1 The Relaxed Einstein Field Equations . 5 2.2 Solution Method . 7 2.3 Zones of Integration . 13 2.4 Multi-pole Expansions . 15 2.5 The first post-Newtonian potentials . 17 2.6 Alternate Integration Methods . 24 3 Equations of Motion and the Precession of Mercury 28 3.1 Deriving equations of motion . 28 3.2 Application to precession of Mercury . 33 4 Gravitational Waves and the Hulse-Taylor Binary 38 4.1 Transverse-traceless potentials and polarisations . 38 4.2 Particular gravitational wave fields . 42 4.3 Effect of gravitational waves on space-time . 46 4.4 Quadrupole formula . 48 4.5 Application to Hulse-Taylor binary . 52 4.6 Beyond the Quadrupole formula . 56 5 Concluding Remarks 58 A Appendix 63 A.1 Solving the Wave Equation . 63 A.2 Angular STF Tensors and Spherical Averages . 64 A.3 Evaluation of a 1PN surface integral . 65 A.4 Details of Quadrupole formula derivation . 66 1 Chapter 1 Introduction Einstein's General theory of relativity [1] was a bold departure from the widely successful Newtonian theory. Unlike the Newtonian theory written in terms of fields, gravitation is a geometric phenomena, with space and time forming a space-time manifold that is deformed by the presence of matter and energy. The deformation of this differentiable manifold is characterised by a symmetric metric, and freely falling (not acted on by exter- nal forces) particles will move along geodesics of this manifold as determined by the metric.