How to Create and Interpret Energy Diagrams: Difference between revisions

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==Thermodynamics==
<div style="font-size:150%">'''Roshni Desai, Fall 2023'''</div>
==The Main Idea==


This topics focuses on energy work of a system but it can only deal with a large scale response to heat in a system. '''Thermodynamics''' is the study of the work, heat and energy of a system.  The smaller scale gas interactions can explained using the kinetic theory of gases.  There are three fundamental laws that go along with the topic of thermodynamics.  They are the zeroth law, the first law, and the second law.  These laws help us understand predict the the operation of the physical system.  In order to understand the laws, you must first understand thermal equilibrium.  [[Thermal equilibrium]] is reached when a object that is at a higher temperature is in contact with an object that is at a lower temperature and the first object transfers heat to the latter object until they approach the same temperature and maintain that temperature constantly.  It is also important to note that any thermodynamic system in thermal equilibrium possesses internal energy.   
Energy diagrams are tools used to analyze a system's energy and motion with respect to a scalar variable like position or time. They are typically used to represent the kinetic and potential energy within a system, in addition to a horizontal line that depicts the total mechanical energy of the system.   


===Zeroth Law===
To draw the energy graph of a system, the following method should be used:


The zeroth law states that if two systems are at thermal equilibrium at the same time as a third system, then all of the systems are at equilibrium with each other.  If systems A and C are in thermal equilibrium with B, then system A and C are also in thermal equilibrium with each other.  There are underlying ideas of heat that are also important.  The most prominent one is that all heat is of the same kind.  As long as the systems are at thermal equilibrium, every unit of internal energy that passes from one system to the other is balanced by the same amount of energy passing back.  This also applies when the two systems or objects have different atomic masses or material. 
# Determine if the potential energy is attractive or repulsive
#* For example, gravitational potential energy is attractive since it draws objects to the surface of the Earth <math>\left(U_g < 0\right)</math>.
#* Electric potential energy for charges with the same sign is repulsive, since like charges repel <math>\left(U_e > 0\right)</math>.
# Analyze whether the system is bound, unbound, or at escape speed to determine the location of the total energy line
#* Bound System: A system in which the total energy is negative
#** <math>E = K + U < 0</math>; horizontal line is below the x-axis
#** The distance between the objects in the system is limited and quantifiable
#* Unbound System: A system in which the total energy is positive
#** <math>E = K + U > 0</math>; horizontal line is above the x-axis
#** If <math>r</math> approaches <math>\infty</math>, the distance between the objects in the system is infinite and unquantifiable; the kinetic energy cannot equal 0
#*System at Escape Speed: A system in which the total energy is equal to 0
#** <math>E = K + U = 0</math>; horizontal line is on the x-axis
# Draw the kinetic energy line/curve – this is always positive!
#* This is usually the reverse of the potential energy curve because <math>K + U = E</math>


====A Mathematical Model====


If A = B and A = C, then B = C
===A Mathematical Model===
A = B = C


====A Computational Model====
The mathematical model derived from energy graphs comes down to the fundamental principle: <math>E = K + U</math>, where <math>E</math> is the total energy, <math>K</math> is the kinetic energy, and <math>U</math> is the potential energy (gravitational, electric, spring, etc.) of the system. This model can be modified, however, depending on the type of system:


How do we visualize or predict using this topic. Consider embedding some vpython code here [https://trinket.io/glowscript/31d0f9ad9e Teach hands-on with GlowScript]
* Bound System: A system in which the total energy is negative
** <math>E = K + U < 0</math>; horizontal line is below the x-axis
** The distance between the objects in the system is limited and quantifiable
* Unbound System: A system in which the total energy is positive
** <math>E = K + U > 0</math>; horizontal line is above the x-axis
** If <math>r</math> approaches <math>\infty</math>, the distance between the objects in the system is infinite and unquantifiable; the kinetic energy cannot equal 0
*System at Escape Speed: A system in which the total energy is equal to 0
** <math>E = K + U = 0</math>; horizontal line is on the x-axis


===First Law===
===A Computational Model===


The first law of thermodynamics defines the internal energy (E) as equal to the difference between heat transfer (Q) ''into'' a system and work (W) ''done by'' the system. Heat removed from a system would be given a negative sign and heat applied to the system would be given a positive sign.  Internal energy can be converted into other types of energy because it acts like potential energy.  Heat and work, however, cannot be stored or conserved independently because they depend on the process.  This allows for many different possible states of a system to exist.  There can be a process known as the adiabatic process in which there is no heat transfer. This occurs when a system is full insulated from the outside environment. The implementation of this law also brings about another useful state variable, '''enthalpy'''.
Here is a computational representation of the energy diagram for an oscillating spring. View the code segments and the GIF to see how this program is being "run." Follow this link to input your own x and y position data and see the results: https://www.glowscript.org/#/user/roshni22desai/folder/MyPrograms/program/Lab4


====A Mathematical Model====
The primary snippets of the code are included below.


E2 - E1 = Q - W
* Computing the kinetic, gravitational potential, spring potential, and total energies:
<pre>
K = 0.5 * ball.m * mag(ball.vel)**2  # kinetic energy
Ug = ball.m * g * ball.pos.y # gravitational potential energy
Us = 0.5 * k_s * s**2  # spring potential energy
E = K + Ug + Us  # total energy
</pre>


==Second Law==
* Updating the system using Newton's 2nd law and kinematics and computing the resultant changes in each energy:
<pre>
while t < 7.619:       


The second law states that there is another useful variable of heat, entropy (S).  Entropy can be described as the disorder or chaos of a system, but in physics, we will just refer to it as another variable like enthalpy or temperature. For any given physical process, the combined entropy of a system and the environment remains a constant if the process can be reversed.  The second law also states that if the physical process is irreversible, the combined entropy of the system and the environment must increase.  Therefore, the final entropy must be greater than the initial entropy. 
    # Define initial energies
    K_i = K
    Ug_i = Ug
    Us_i = Us
    E_i = E
   
    # Calculate gravitational force
    Fgrav = vector(0,-ball.m * g,0)
   
    # Calculate spring force on mass by spring
    Fspring = -k_s * s * Lhat


===Mathematical Models===
    # Calculate the net force
    Fnet = Fgrav + Fspring


delta S = delta Q/T
    # Apply the Momentum Principle (Newton's 2nd Law)
Sf = Si (reversible process)
    # Update the object's velocity
Sf > Si (irreversible process)
    ball.vel = ball.vel + (Fnet)/ball.m * deltat
    # Update the object's position
    ball.pos = ball.pos + ball.vel * deltat
   
    # Update the spring
    L = ball.pos - spring.pos
    Lhat = L/mag(L)  
    s = mag(L) - L0


===Examples===
    # Calculate energy changes
    K = 0.5 * ball.m * mag(ball.vel)**2
    deltaK = K - K_i
    Ug = ball.m * g * ball.pos.y
    deltaUg = Ug - Ug_i
    Us = 0.5 * k_s * s**2
    deltaUs = Us - Us_i
    E = K + Ug + Us
    deltaE = E - E_i
</pre>


'''Reversible process''': Ideally forcing a flow through a constricted pipe, where there are no boundary layers. As the flow moves through the constriction, the pressure, volume and temperature change, but they return to their normal values once they hit the downstream.  This return to the variables' original values allows there to be no change in entropy.  It is often known as an isentropic process. 
[[File:Energydiagram.gif|center]]


'''Irreversible process''': When a hot object and cold object are put in contact with each other, eventually the heat from the hot object will transfer to the cold object and the two will reach the same temperature and stay constant at that temperature, reaching equilibrium. However, once those objects are separated, they will remain at that equilibrium temperature until something else acts upon it. The objects do not go back to their original temperatures so there is a change in entropy.
==Examples==
All graphs were created using [https://desmos.com Desmos].
 
===Simple===
 
The graph below is a representation of the energy of an oscillating spring. The kinetic energy, <math>K</math>, is the least at the maximum points of displacement and greatest at equilibrium, whereas the potential energy, <math>P</math>, is greatest at the maximum points of displacement and lowest at equilibrium. The total energy, <math>E</math>, is at the maximum amplitude of the graph.
 
[[File:Springenergy.png|center]]
 
===Intermediate===
 
This graph corresponds to a system consisting of a proton and electron that begin infinitely far away from each other at rest. This is an example of a system at escape speed; because the electron and proton do not feel forces from each other, as shown by the fact that they are both at rest, they have effectively "escaped" the influence of the other, so the total energy must be equal to 0 by the above principles. Alternatively, since both particles are at rest, their kinetic energies approach 0 at infinity, as does their potential energies.
 
[[File:Twoelectrons.png|center]]
 
===Difficult===
 
This graph corresponds to a system a comet orbiting the Sun and passes it every 75 years. Although the orbit is very large, it is still bound to the Sun, making it a bound system with the total energy less than 0. In this case, the magnitude of the potential energy is larger than the magnitude of the kinetic energy, which causes the total energy to be less than 0, unlike the previous example.
 
[[File:Otherelectron.png|center]]


==Connectedness==
==Connectedness==
#How is this topic connected to something that you are interested in?
 
#How is it connected to your major?
One of my strongest passions is sustainability and conservation, particularly renewable energy systems. Energy diagrams, as we have learned, provide information about the kinetic and potential energies of a system. For example, the potential energy within a dam could be determined from the elevation of water, while the kinetic energy of the water could be found by analyzing its speed due to currents and turbines. This also ties into how energy graphs connect with my major, Materials Science and Engineering. Although this field has several paths, one route that I am interested in is how materials can be engineered to prevent or solve environmental problems. As a result, energy diagrams are beneficial in many industrial applications, including optimizing processes to control pollution and developing methods to minimize both household and industrial waste. Apart from environmental engineering, though, energy diagrams can be used to in electronics and semiconductors as well and are important for understanding how to design electronical equipment and enhancing performance of batteries, which contain electric potential energy that allows for the kinetic flow of electrons. Furthermore, energy diagrams are used to analyze on a smaller molecular scale as well, by representing changes in chemical reactions and catalytic processes.
#Is there an interesting industrial application?


==History==
==History==


Thermodynamics was brought up as a science in the 18th and 19th centuries.  However, it was first brought up by Galilei, who introduced the concept of temperature and invented the first thermometer. G. Black first introduced the word 'thermodynamics'.  Later, G. Wilke introduced another unit of measurement known as the calorie that measures heat.   The idea of thermodynamics was brought up by Nicolas Leonard Sadi Carnot. He is often known as "the father of thermodynamics".  It all began with the development of the steam engine during the Industrial Revolution.  He devised an ideal cycle of operation.  During his observations and experimentations, he had the incorrect notion that heat is conserved, however he was able to lay down theorems that led to the development of thermodynamics. In the 20th century, the science of thermodynamics became a conventional term and a basic division of physics.  Thermodynamics dealt with the study of general properties of physical systems under equilibrium and the conditions necessary to obtain equilibrium.
The concept of mechanical energy was discovered by James Prescott Joule, who analyzed that different kinds of energy (kinetic, thermal, chemical, etc) could be converted between one another. From this he developed the law of conservation of energy, the idea that energy can neither be created nor destroyed. The representation of this energy, through mechanical energy diagrams, however, was first brought about by scientist Alfred Clebsch. He used these diagrams to visualize how a system contains several different kinds of energy, but this energy is transferred through time, making the total energy absolute. Although Clebsch's diagrams were initially looked upon by doubt, they were ultimately used by several scientists to analyze the motion of objects both on Earth and in space.


== See also ==
== See also ==


Are there related topics or categories in this wiki resource for the curious reader to explore?  How does this topic fit into that context?
Here are some interactive simulations to that may help with understanding representation of energy conservation!


# PhET simulation to understand the conservation of energy within a system
#* https://phet.colorado.edu/en/simulations/energy-skate-park
# PhET simulation to obtain a better understand of energy conservation in springs
#*https://phet.colorado.edu/en/simulations/masses-and-springs/about
===Further reading===
===Further reading===


Books, Articles or other print media on this topic
# Article to learn more about the Law of Conservation of Energy
#* https://byjus.com/physics/law-of-conservation-of-energy/
# Article to highlight important observations about energy diagrams and how to interpret them
#* https://www.dummies.com/article/academics-the-arts/science/physics/how-to-interpret-energy-diagrams-in-physics-143033/


===External links===
===External links===


Internet resources on this topic
Video explaining how to read spring energy graphs: https://www.youtube.com/watch?v=HuV8itFrht4
Video discussing the concept of mechanical energy: https://www.youtube.com/watch?v=VrLVUfB_t_U


==References==
==References==


https://www.grc.nasa.gov/www/k-12/airplane/thermo0.html
Notes used as reference from Padukka lecture notes, Fall 2023
http://hyperphysics.phy-astr.gsu.edu/hbase/thermo/thereq.html
https://phys.libretexts.org/Courses/University_of_California_Davis/UCD:_Physics_9HA__Classical_Mechanics/3:_Work_and_Energy/3.7:_Energy_Diagrams
https://www.grc.nasa.gov/www/k-12/airplane/thermo2.html
https://www.dummies.com/article/academics-the-arts/science/quantum-physics/measuring-the-energy-of-bound-and-unbound-particles-161223/
http://www.phys.nthu.edu.tw/~thschang/notes/GP21.pdf
 
http://www.eoearth.org/view/article/153532/


[[Category:Which Category did you place this in?]]
[[Category:Energy]]

Latest revision as of 23:47, 3 December 2023

Roshni Desai, Fall 2023

The Main Idea

Energy diagrams are tools used to analyze a system's energy and motion with respect to a scalar variable like position or time. They are typically used to represent the kinetic and potential energy within a system, in addition to a horizontal line that depicts the total mechanical energy of the system.

To draw the energy graph of a system, the following method should be used:

  1. Determine if the potential energy is attractive or repulsive
    • For example, gravitational potential energy is attractive since it draws objects to the surface of the Earth [math]\displaystyle{ \left(U_g \lt 0\right) }[/math].
    • Electric potential energy for charges with the same sign is repulsive, since like charges repel [math]\displaystyle{ \left(U_e \gt 0\right) }[/math].
  2. Analyze whether the system is bound, unbound, or at escape speed to determine the location of the total energy line
    • Bound System: A system in which the total energy is negative
      • [math]\displaystyle{ E = K + U \lt 0 }[/math]; horizontal line is below the x-axis
      • The distance between the objects in the system is limited and quantifiable
    • Unbound System: A system in which the total energy is positive
      • [math]\displaystyle{ E = K + U \gt 0 }[/math]; horizontal line is above the x-axis
      • If [math]\displaystyle{ r }[/math] approaches [math]\displaystyle{ \infty }[/math], the distance between the objects in the system is infinite and unquantifiable; the kinetic energy cannot equal 0
    • System at Escape Speed: A system in which the total energy is equal to 0
      • [math]\displaystyle{ E = K + U = 0 }[/math]; horizontal line is on the x-axis
  3. Draw the kinetic energy line/curve – this is always positive!
    • This is usually the reverse of the potential energy curve because [math]\displaystyle{ K + U = E }[/math]


A Mathematical Model

The mathematical model derived from energy graphs comes down to the fundamental principle: [math]\displaystyle{ E = K + U }[/math], where [math]\displaystyle{ E }[/math] is the total energy, [math]\displaystyle{ K }[/math] is the kinetic energy, and [math]\displaystyle{ U }[/math] is the potential energy (gravitational, electric, spring, etc.) of the system. This model can be modified, however, depending on the type of system:

  • Bound System: A system in which the total energy is negative
    • [math]\displaystyle{ E = K + U \lt 0 }[/math]; horizontal line is below the x-axis
    • The distance between the objects in the system is limited and quantifiable
  • Unbound System: A system in which the total energy is positive
    • [math]\displaystyle{ E = K + U \gt 0 }[/math]; horizontal line is above the x-axis
    • If [math]\displaystyle{ r }[/math] approaches [math]\displaystyle{ \infty }[/math], the distance between the objects in the system is infinite and unquantifiable; the kinetic energy cannot equal 0
  • System at Escape Speed: A system in which the total energy is equal to 0
    • [math]\displaystyle{ E = K + U = 0 }[/math]; horizontal line is on the x-axis

A Computational Model

Here is a computational representation of the energy diagram for an oscillating spring. View the code segments and the GIF to see how this program is being "run." Follow this link to input your own x and y position data and see the results: https://www.glowscript.org/#/user/roshni22desai/folder/MyPrograms/program/Lab4

The primary snippets of the code are included below.

  • Computing the kinetic, gravitational potential, spring potential, and total energies:
K = 0.5 * ball.m * mag(ball.vel)**2   # kinetic energy 
Ug = ball.m * g * ball.pos.y # gravitational potential energy 
Us = 0.5 * k_s * s**2  # spring potential energy 
E = K + Ug + Us   # total energy
  • Updating the system using Newton's 2nd law and kinematics and computing the resultant changes in each energy:
while t < 7.619:         

    # Define initial energies
    K_i = K
    Ug_i = Ug
    Us_i = Us
    E_i = E
    
    # Calculate gravitational force
    Fgrav = vector(0,-ball.m * g,0)
    
    # Calculate spring force on mass by spring
    Fspring = -k_s * s * Lhat

    # Calculate the net force
    Fnet = Fgrav + Fspring

    # Apply the Momentum Principle (Newton's 2nd Law)
    # Update the object's velocity
    ball.vel = ball.vel + (Fnet)/ball.m * deltat
    # Update the object's position
    ball.pos = ball.pos + ball.vel * deltat
    
    # Update the spring
    L = ball.pos - spring.pos
    Lhat = L/mag(L) 
    s = mag(L) - L0

    # Calculate energy changes
    K = 0.5 * ball.m * mag(ball.vel)**2
    deltaK = K - K_i
    Ug = ball.m * g * ball.pos.y
    deltaUg = Ug - Ug_i
    Us = 0.5 * k_s * s**2
    deltaUs = Us - Us_i
    E = K + Ug + Us
    deltaE = E - E_i

Examples

All graphs were created using Desmos.

Simple

The graph below is a representation of the energy of an oscillating spring. The kinetic energy, [math]\displaystyle{ K }[/math], is the least at the maximum points of displacement and greatest at equilibrium, whereas the potential energy, [math]\displaystyle{ P }[/math], is greatest at the maximum points of displacement and lowest at equilibrium. The total energy, [math]\displaystyle{ E }[/math], is at the maximum amplitude of the graph.

Intermediate

This graph corresponds to a system consisting of a proton and electron that begin infinitely far away from each other at rest. This is an example of a system at escape speed; because the electron and proton do not feel forces from each other, as shown by the fact that they are both at rest, they have effectively "escaped" the influence of the other, so the total energy must be equal to 0 by the above principles. Alternatively, since both particles are at rest, their kinetic energies approach 0 at infinity, as does their potential energies.

Difficult

This graph corresponds to a system a comet orbiting the Sun and passes it every 75 years. Although the orbit is very large, it is still bound to the Sun, making it a bound system with the total energy less than 0. In this case, the magnitude of the potential energy is larger than the magnitude of the kinetic energy, which causes the total energy to be less than 0, unlike the previous example.

Connectedness

One of my strongest passions is sustainability and conservation, particularly renewable energy systems. Energy diagrams, as we have learned, provide information about the kinetic and potential energies of a system. For example, the potential energy within a dam could be determined from the elevation of water, while the kinetic energy of the water could be found by analyzing its speed due to currents and turbines. This also ties into how energy graphs connect with my major, Materials Science and Engineering. Although this field has several paths, one route that I am interested in is how materials can be engineered to prevent or solve environmental problems. As a result, energy diagrams are beneficial in many industrial applications, including optimizing processes to control pollution and developing methods to minimize both household and industrial waste. Apart from environmental engineering, though, energy diagrams can be used to in electronics and semiconductors as well and are important for understanding how to design electronical equipment and enhancing performance of batteries, which contain electric potential energy that allows for the kinetic flow of electrons. Furthermore, energy diagrams are used to analyze on a smaller molecular scale as well, by representing changes in chemical reactions and catalytic processes.

History

The concept of mechanical energy was discovered by James Prescott Joule, who analyzed that different kinds of energy (kinetic, thermal, chemical, etc) could be converted between one another. From this he developed the law of conservation of energy, the idea that energy can neither be created nor destroyed. The representation of this energy, through mechanical energy diagrams, however, was first brought about by scientist Alfred Clebsch. He used these diagrams to visualize how a system contains several different kinds of energy, but this energy is transferred through time, making the total energy absolute. Although Clebsch's diagrams were initially looked upon by doubt, they were ultimately used by several scientists to analyze the motion of objects both on Earth and in space.

See also

Here are some interactive simulations to that may help with understanding representation of energy conservation!

  1. PhET simulation to understand the conservation of energy within a system
  2. PhET simulation to obtain a better understand of energy conservation in springs

Further reading

  1. Article to learn more about the Law of Conservation of Energy
  2. Article to highlight important observations about energy diagrams and how to interpret them

External links

Video explaining how to read spring energy graphs: https://www.youtube.com/watch?v=HuV8itFrht4 Video discussing the concept of mechanical energy: https://www.youtube.com/watch?v=VrLVUfB_t_U

References

Notes used as reference from Padukka lecture notes, Fall 2023 https://phys.libretexts.org/Courses/University_of_California_Davis/UCD:_Physics_9HA__Classical_Mechanics/3:_Work_and_Energy/3.7:_Energy_Diagrams https://www.dummies.com/article/academics-the-arts/science/quantum-physics/measuring-the-energy-of-bound-and-unbound-particles-161223/