Multi-particle Analysis of Momentum: Difference between revisions

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The Momentum Principle is <math>{\frac{d\vec{p}}{dt}}_{system} = \vec{F}_{net}</math> where '''p''' is the momentum of the system and '''F''' is the net force from the surroundings.  
The Momentum Principle is <math>{\frac{d\vec{p}}{dt}}_{system} = \vec{F}_{net}</math> where '''p''' is the momentum of the system and '''F''' is the net force from the surroundings.  


However you will also need to know how to find the center of mass: <math>{cm} = {\frac{\sum{mr}}{{M}_{tot}}}</math>
The Energy Principle is <math>{&Delta;{E}} = {W}</math> where '''E''' is the total change of a system's energy ans '''W''' is the work done on the system by the surroundings.
 
You will also need to know how to find the center of mass: <math>{cm} = {\frac{\sum{mr}}{{M}_{tot}}}</math>, where '''cm''' is the location of the center of mass relative to an origin, '''mr''' is a fractional mass and length product summed up to infinity, and '''M''' is the total mass of the system.
 
===Procedure===
 
In order to analyze the motion of a multi-particle system, we need to apply both the energy principle and momentum principle.
 
Step 0: Identify the system and the surroundings of the system.
 
Step 1: Compress the system into a point-particle located at the system's center of mass.
 
[insert image later]
 
Step 2: Apply all forces acting on the system with their tails connected to the center of mass, retaining direction and magnitude.
 
[insert image later]
 
Step 3: Use the energy principle on the point particle.
 
<math> &Delta;{K} = &Delta;{W}_{trans} = \vec{F} * &Delta;{r}_{cm}</math>
 
Step 4: Return to the real-system and visualize the initial and final states of the systems.
 
[insert images]
 
Step 5: Calculate the work that each force does
 
Step 6: Set up the Energy Principle for the problem.
 
<math> &Delta;{K}_{trans} + &Delta;{K}_{rot} + &Delta;{U} = {W}_{surr} + {Q} </math>
 


===A Computational Model===
===A Computational Model===

Revision as of 16:56, 5 December 2015

claimed by nacharya7

The Main Idea

The Momentum Principle is a foundation of classical physics that is applicable to almost any system of objects at any scale, micro- or macroscopic. As such it can be used to analyse systems of point particles as well as multi-particle systems; however, there are a few subtleties one needs to take note of when choosing to analyze a multi-particle system that this page will detail.

A Mathematical Model

The Momentum Principle is [math]\displaystyle{ {\frac{d\vec{p}}{dt}}_{system} = \vec{F}_{net} }[/math] where p is the momentum of the system and F is the net force from the surroundings.

The Energy Principle is [math]\displaystyle{ {&Delta;{E}} = {W} }[/math] where E is the total change of a system's energy ans W is the work done on the system by the surroundings.

You will also need to know how to find the center of mass: [math]\displaystyle{ {cm} = {\frac{\sum{mr}}{{M}_{tot}}} }[/math], where cm is the location of the center of mass relative to an origin, mr is a fractional mass and length product summed up to infinity, and M is the total mass of the system.

Procedure

In order to analyze the motion of a multi-particle system, we need to apply both the energy principle and momentum principle.

Step 0: Identify the system and the surroundings of the system.

Step 1: Compress the system into a point-particle located at the system's center of mass.

[insert image later]

Step 2: Apply all forces acting on the system with their tails connected to the center of mass, retaining direction and magnitude.

[insert image later]

Step 3: Use the energy principle on the point particle.

[math]\displaystyle{ &Delta;{K} = &Delta;{W}_{trans} = \vec{F} * &Delta;{r}_{cm} }[/math]

Step 4: Return to the real-system and visualize the initial and final states of the systems.

[insert images]

Step 5: Calculate the work that each force does

Step 6: Set up the Energy Principle for the problem.

[math]\displaystyle{ &Delta;{K}_{trans} + &Delta;{K}_{rot} + &Delta;{U} = {W}_{surr} + {Q} }[/math]


A Computational Model

How do we visualize or predict using this topic. Consider embedding some vpython code here Teach hands-on with GlowScript

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