Maximizing the Magnus Effect on Spherical Projectiles Student

Maximizing the Magnus Effect on Spherical Projectiles Student Introduction: Name: Blake Loeb School: Eau Gallie High School Grade: 11 th FLVS: Hope M. Blake Loeb is enrolled in the Cambridge Program and has a strong interest in Mathematics, Physics, Computer Simulations and Aerodynamics. In this year project he was able to combine these interest to create a Magnus Effect Simulator which utilized Visual Basic and Excel to perform Numerical Integration (Runge Kutta 4 th Order) to create a predictive model of the Magnus effect on 6 mm spherical projectiles.

Project Introduction & Hypothesis The study of the trajectories of spherical projectiles is a key area of experimentation for classical physics as described by Sir Isaac Newton’s laws of motions. These laws however did not take into account the impact of the forces of aerodynamics (Lift & Drag). Heinrich Gustav Magnus (1802 – 1870), who investigated the effect experimentally in 1853 on rotating cylinders. Source: http: //pencilcricket. blogspot. com/ As a result the lift generated by a spinning spherical projectile is now called the Magnus effect. The Magnus effect is still being research today as there are many complex factors that influence the Magnus effect. In order to generate backspin to produce the Magnus effect spacers can be used to transfer angular velocity to the spherical projectile. The goal of this experiment is to test different geometries of spacers and create a mathematically model of the lift generated by the Magnus effect from the experimental results. To achieve a successful model of the Magnus force this project will cover the mathematics of applied physics for ballistics spanning hundreds of years. Photo taken by student researcher Hypothesis: A concave based spacer will be the most consistent way of applying pressure to a spherical projectile to cause backspin and generate optimal lift

Project Introduction: Hop Up Spacer Geometry - Flat, V, H and Concave Shaped Question: a) Which hop up spacer geometry will create the greatest range and lift from the Magnus effect ? a) What set of equations, variables. algorithms and processes can be used to create an accurate predictive model to generate the resulting spherical projectile trajectory ? Included in Testing � Included in Testing Used to create backspin

Research and Works Cited Forces Governing Trajectory 1. Force Equations 2. Key Variables 3. Gravity 4. Velocity 5. Drag Force Equation 6. Lift Equation (Magnus Force) 7. Drag & Lift Coefficient 8. Launch Angle & Velocity 9. System of Differential Equations

Force equations governing trajectory � What vector forces govern the trajectory of a spherical projectile? (including drag & lift) where F is the resulting force, Fg is the force from gravity, Fd is the force from drag, Fl is the force of lift from the Magnus effect and Fc is the force from all the rest such as additional interactions due to angular momentum. For simplicity this analysis will focus on the dimensions of distance and height from these forces and will not consider cross winds or additional interacts (Fc ) Source: Physics of Paintball: Dr. Gary Dyrkacz

Key Variables Source: Flight mechanics of a Spinning Spheroid : John C. Adams, Jr. , Ph. D

Gravity (W force) & Velocity � How long will it take a spherical projectile to fall 3 feet? (Time in flight without lift or air resistance) X = gt 2/2 where x=distance, g=32. 174 feet/sec 2 and t=time Solving for time where distance = 3 feet t=Square root (3*2/32. 174) Time =. 432 seconds What will be the velocity be at a given point in time ? vf = v i + a * t where Vf is the final velocity, Vi, is the initial velocity a is the acceleration/deacceleration with t as the time in seconds Velocity changes in a non-linear fashion with an exponential decay Source: “Ideal Lift of a spinning sphere. " Aerodynamics of a Sphere. Benson, Tom NASA Glen Research Center, Jul 28 2008

Drag Force & Lift Equations � What are the equations governing the Drag Force? Fd is the force from drag, Cd is the experimentally determined coefficient of drag, ρ is the density of air, A is the two dimensional area of the object, which for a sphere is the same as the area of circle, π d 2/4 and v is velocity of the projectile. � What are the equations governing the Lift Force? Fl is the force from lift, Cl is the experimentally determined coefficient of lift, ρ is the density of air, A is the two dimensional area of the object, which for a sphere is the same as the area of circle, π d 2/4 and v is velocity of the projectile. Source: Physics of Paintball: Dr. Gary Dyrkacz

Lift & Drag Coefficients � � � The Magnus effect is a function of RSR P is pressure, R is the gas constant, T is absolute Temperature, and rho is air density of the air CL and CD are determine experimentally Source: Flight mechanics of a Spinning Spheroid : John C. Adams, Jr. , Ph. D

Resulting System of Differential Equations � 1. Drag impact to V: d. V/dt = -Fd g /m – g sin α 2. Lift impact to L d. L/dt =( FL g /m – g cos α)/V 3. Launch Angle These coupled differential equations are solved by numeric integration (Runge Kutta) in the Magnus Effect Simulator Source: Flight mechanics of a Spinning Spheroid : John C. Adams, Jr. , Ph. D

Materials & Methods Procedure: Target placement will be used to generate a projectile trajectory. Multiple tests will be executed with calculation of consistency, averages, standard deviation, and grouped by spacer geometry type. . Procedure Steps: 1. A mathematical model will be developed using vector and kinetic equations to predict X & Y groupings of a spherical projectile. 2. Air will be used to propel small spherical projectiles (6 mm) down a chamber with an exchangeable spacer to produce backspin for. 2 g , . 28 g and. 4 g BBs 3. A chronograph will be used to measure exit velocity. Adjustment will be made so that for each test to make sure the propulsion system is level and targeted. This will mean that changes in X & Y groupings will be from the Magnus effect from the backspin produced. 4. Targets that have pressure sensitive indicators will be used to determine the X & Y groupings at regular intervals (50 feet). 5. The X & Y grouping information will be plugged into the mathematical model to determine lift and relative rate of backspin. 6. By each spacer geometry type the results will be ranked by the lift generated. Graphical and statistics based analysis will be applied. The Hypothesis that the concave based spacer will generate the most lift and consistent grouping will be tested and determine if it is correct. These results will be discussed and a conclusion will be created from this data.

Discussion: Key Variables Constants Independent Dependent Gravity Force Spacer Type Maximum Range* Gas Constant of Air Spacer Depth Maximum Height* Gas Constant Conversion Factor Time Height at time t Launch Angle (0 degrees) BB Weight Distance at time t Launch Height Initial Velocity (fps) BB Diameter Angular Velocity (rpm) BB Surface Area Rotational Spin Ratio Pi Rho Pressure Reverse Magnus Region % Temperature Lift Coefficient Drag Coefficient * Response Variable

Discussion: Laminar Versus Turbulent Flow � Type of flow is dependent on the Rotational Spin Ratio (Angular Velocity (Spin)/Forward Velocity and Sphere Surface Smoothness Source: J. Hoffman and C. Johnson, Computational Turbulent Incompressible Flow, Springer 2007.

Discussion: Magnus Effect Reverse Magnus Effect: Laminar flow Negative Lift Magnus Effect: Positive Lift Turbulent flow Source: Airsoft Trajectory Project � Reverse Magnus experimentally determine to occur between 100% - 80% of initial velocity for 6 mm diameter BBs weighing. 2 -. 4 g

Modeling with the Magnus Effect Simulator using the described system of differential equations � � Actual versus Simulation Example Created using Excel & Visual Basic

Results: Trajectory by Geometry Type Trajectory. 2 g BB by Geometry Type Height in Inches 80. 00 60. 00 40. 00 Concave. 2 20. 00 Flat. 2 0. 00 0 50 100 150 200 Range in Feet 250 300 350 H Shape. 2 Height in Inches Trajectory. 28 g BB by Geometry Type 80. 00 60. 00 40. 00 20. 00 Concave. 28 Flat. 28 0 50 100 150 200 Range in Feet 250 300 350 H Shape. 28 Trajectory. 4 g BB by Geometry Type Height in Inches 120. 00 100. 00 80. 00 60. 00 40. 00 20. 00 Concave. 4 Flat. 4 0 50 100 150 200 Range in Feet 250 300 350 H Shape. 4

Results: Statistics

Results: Maximum Range & Height by Concave Spacer Geometry MAXIMUM VALUE Range in Feet Concave. 2 g Height in inches Concave. 28 g Height in inches Concave. 4 g Height in inches 100 43. 25 42. 00 28. 20 150 53. 75 Japa 53. 83 49. 67 66. 00 65. 30 250 68. 75 69. 00 90. 00 300 52. 50 50. 75 93. 50 325 12. 50 1. 00 87. 00 350 0. 00 25. 50 375 0. 00 1. 00 200 Concave Spaced Geometry achieved the most range (375 Feet) and the most height (93. 5 inches). Concave Spaced Geometry also had the closest grouping with the minimum standard deviation.

Conclusion 1. The hypothesis is correct and the concave spacer was the most consistent way of applying pressure to a spherical projectile to cause backspin and generate optimal lift (maximum range & height) 2. The goal of this experiment to create a mathematically model of the lift generated by the Magnus effect from the experimental results was achieved with the Magnus Effect Simulator.

Books Bibliography & Acknowledgments Butterworth, Heinemann, Aerodynamics for Engineering Students, Fifth Edition 2008 by E. L. Houghton, P. W. Carpenter. (Paperback 9780750651110) J. Hoffman and C. Johnson, Computational Turbulent Incompressible Flow, Springer 2007 Robins, B. , Mathematical Tracts, 1 & 2. J. Nourse, London, 1761. Robins, B. , Investigation of The Difference in The Resisting Power of The Air to Swift and Slow Motion, 1742 Journals and Magazines Robins-Magnus Effect: A Continuing Saga. , Tapan K. Sengupta & Srikanth B. Talla Dept. of Aerospace Engineering L. J. Briggs, "Effect of spin and Speed on the Lateral Deflection (Curve) of a ball; and the Magnus Effect for Smooth Spheres, " American Journal of Physics V 27, pp. 589 -596 (1959). Journal of Fluid Mechanics The Magnus or Robins effect on rotating spheres Journal of Fluid Mechanics (1971), 47: 437 -447 Cambridge University Press Newton, I. (1672), New theory of light and colours. Philosophical Transactions of the Royal Society London, 1, 678 -688. Acknowledgments My thanks to the staff of SOCOM Airsoft Arena, 210 NW 13 th Street, Ocala, FL 34475, for allowing me to perform this testing at their facility. Internet "Ideal Lift of a spinning sphere. " Aerodynamics of a Sphere. Benson, Tom NASA - Glen Research Center, Jul 28 2008. Web. 28 Sep 2010. http: //www. grc. nasa. gov/WWW/K-12/airplane/beach. html " Physics of Paint Ball" Lennon, Tom. Fresno University, Jul 28 August 24 2000 http: //lennon. csufresno. edu/~nas 31/nsa/pball. Intro 1. html " The Magnus Effect Equation" , Tom Cull, Staff, Clinical Sciences MR Division, Picker International Science, Jul 28 1999 http: //www. madsci. org/posts/archives/1999 -06/928944018. Ph. r. html> " Maximizing the Range with Newton's Method" James E. White, Calculus in Action Webbook Project Welcome to Calculus, Jul y 2004 www. maa. org/projectwelcome/calculus%20 in%20 action. html " Magnus Effect Experiment" , Julian Rubin, Encyclopedia of Aviation, December 2009 http: //www. juliantrubin. com/encyclopedia/aviation/magnus_effect. html “Effect of Hop-Up and the Magnus Effect” The Airsoft Trajectory Project, cybersloth. org , December 2009 http: //mackila. com/airsoft/ATP/03 -a-01. htm “Forces Governing Trajectory” The Airsoft Trajectory Project, cybersloth. org , December 2009 http: //www. physics. armstrong. edu/faculty/mullenax/research/riseball. html “Magnus effect on Spherical Projectiles” By Sanjay Mittal and Bhaskar Kumar Department of Aerospace Engineering, Indian Institute of Technology, Kanpur, UP 208 016, India, J. Fluid Mech. (2003), vol. 476, pp. 303{334. 2003 Cambridge University.