Angry Projectiles

Simulate the launch and study the motion of a projectile, given some parameters like: - Object type - Mass - Area - Diameter - Initial speed - Initial Angle

Project executed by:
- Andy Tsai
- Hongling Lei
- Luis Cunha

Instructions to run:

1 - Before run the python code, you should define the parameters on projectile_input.csv file, as follows:

• Your Name
• Initial projectile speed
• Initial projectile angle
• If you use a customized object type (obj_type=0), then you need to define the following parameters:
  • Drag coefficient
  • Diameter
  • Area
  • Mass
• Pick the object type that you want to use:
  • 0 - Customized object type
  • 1 - Sphere - Mass: 1kg; Area: 0.05m2; Drag Coefficient: 0.47
  • 2 - Cube - Mass: 1kg; Area: 0.05m2; Drag Coefficient: 1.05
  • 3 - Stream Lined Body - Mass: 0.04kg; Area: 0.04m2; Drag Coefficient: 0.04

2 - Run the python code:

- Using terminal:
	1. python main.py
	2. python example.py

- Using an IDE:
	1. Edit "projectile_input.csv"
	2. Open "main.py" and run
	3. Open "example.py" and run

More informations:

Platform and Python Version:

PyCharm with Python 3.7.x

External packages used:

• numpy v.1.15.4
• scipy v.1.1.0
• matplotlib v.3.0.2
• statistics v.3.6

Files:

main.py - import data and call functions from other files - defines a dictionary for possible objects to be used - plots a basket, which players will try to throw their object into - renders all projectile trajectories - displays a dynamic process of projectile motions using animation - identifies the winner

packages and methods used:
	1. Numpy
	2. matplotlib.pyplot
	3. FuncAnimation from matplotlib.animation

projectile_input.csv - text input file from user

example.py - demostrate an example of throwing a baseball with and without air resistance - calculate baseball's velocity and acceleration base on its motion trajectory - calculate baseball's highest (y-position)

packages and methods used:
	1. constant pi (3.14) from SciPy
	2. interploation (interp1d) from SciPy
	3. plotting methods from matplotlib

read_data.py - reads projectile parameteres from csv file

package and methods used:
	1. NumPy

objects.py - contains differernt shaped objects (sphere, cube, cone and etc) with its physical properties (initial x-, y-position, mass, drag coefficient, and reference area)

projectile.py - calculate ball's projectile motion in both vacuum and with air resistance - returns time(T), x-position(X), and y-position(Y) - determines whether an object falls into the basket or not, and displays "Win" or "Fail" - stops the object if it hits the edge of the basket

packages and methods used:
	1. math functions (sin, cos, deg2rad, sqrt, and exp) from NumPy
	2. array object from NumPy
	3. created a function where all possible situations are listed and dealt with
	4. used three flags to mark where to break the animation (to stop the object)

analysis.py - calculate object's velocity and acceleration by object's position in time - calculate object's highest position and time by using Newton's method

packages and methods used:
	1. linear interploate (linspace) from NumPy
	2. math functions (average, sqrt, power, and median) from 
		NumPy and statistics package
	3. interploation (interp1d) from SciPy