What a Drag: A Projectile Motion Game with Air Resistance

Developed by Steve Robinson - Published February 13, 2020

DOI: 10.1119/PICUP.Exercise.PMDrag

This exercise set is designed to give students experience in numerical modeling via classic drag problems in physics. Specifically, students will design a game in which an object is launched at high speed with the goal of meeting another moving object in the air. As these types of problems (especially in the context of high-speed air friction) do not readily yield analytical solutions, the exercises will begin with guess-and-check methodologies and later explore parameter spaces to arrive at optimal solutions.
Subject Areas Mechanics and Fluids
Levels First Year and Beyond the First Year
Available Implementation Glowscript
Learning Objectives
Students who complete this Exercise Set will be able to: * simulate projectile motion with and in the absence of an atmosphere (**Exercises 1** and **2**). * use computation to solve a problem with with no closed-form solution: namely, the optimal launch angle for a projectile to meet a moving target in the air (**Exercise 3**). * discover and visualize the effects of drag on an object (**Exercises 1**, **2**, **4**, and **5**).
Time to Complete 120 min

These exercises are not tied to a specific programming language. Example implementations are provided under the Code tab, but the Exercises can be implemented in whatever platform you wish to use (e.g., Excel, Python, MATLAB, etc.).

####Exercise 1 A drone has entered forbidden air space moving horizontally at an altitude of $h = $ 1 km and a speed of $v_\mathrm{d}=$ 200 m/s. In response, when the drone is $d = $ 5 km away in the horizontal direction, an EMP (i.e., electromagnetic pulse) shell is launched at a speed $v_\mathrm{s}$ and angle $\theta$ in an attempt to disable the drone. Write a program which 1. allows a user to input $v_\mathrm{s}$ and $\theta$ (between 0° and 90°). 2. visually simulates the shell and drone motion with no air resistance. 3. ends the program when the shell and drone begin moving farther apart. 4. records and displays the closest approach, declaring victory if the shell gets within 10 m of the drone. The game will almost certainly be won only through several iterations of guess-and-check. ####Exercise 2 Having successfully coded and won the game, now add turbulent (i.e., quadratic) drag to the shell of the form $$\vec F_\mathrm{d}=-kv^2\hat v$$ where $\hat v$ is the unit vector of velocity and $k$ is a constant that incorporates the shell's geometry and the fluid's properties into a single number. A reasonable value for $k$ might be 0.005 kg/m or so. Note that **Exercise 1** did not require the shell to have a mass since its acceleration was due only to gravity (i.e., downward at $g=$ 9.8 m/s2). However, there is now a motion-opposite force which causes $$\vec a=-g\hat j-\frac{kv^2}{m}\hat v$$ so that mass becomes a factor. Set $m=$ 4 kg and play the game again, noticing the stark difference between the inputs used in **Exercises 1** and **2** to win (e.g., especially take note of the required speed differences using a common angle). Print the $y$-component of the shell's acceleration at each step. How and why is it different than $-$9.8 m/s2? ####Exercise 3 Continuing with the parameters of **Exercise 2**, create a program which calculates the optimal shell launch angle with $v_\mathrm{s}=$ 700 m/s (i.e., the angle which produces the closest approach). ####Exercise 4 Setting $\theta=$ 90° and $v_\mathrm{s}=$ 400 m/s, find the minimum speed of the drone that would allow it to pass through without being hit from beneath (i.e., barely make it past a vertically launched shell) for both $k=0$ and $k\neq0$. ####Exercise 5 With $0°\leq\theta\leq 90°$, find two angles that result in victory for the same launch speed with $k=0$. Repeat with $k\neq0$.

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Credits and Licensing

Steve Robinson, "What a Drag: A Projectile Motion Game with Air Resistance," Published in the PICUP Collection, February 2020, https://doi.org/10.1119/PICUP.Exercise.PMDrag.

DOI: 10.1119/PICUP.Exercise.PMDrag

The instructor materials are ©2020 Steve Robinson.

The exercises are released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license