Lab 2 Thermal Expansion

Linear Thermal Expansion -Lab 1

We utilized a metal rod,  rotary motion sensor, and steam produced by the
immersion heater to cause linear expansion. The rotary sensor captured the angular displacement and the temperature sensors captured the heat.

 

The graph represents the temp vs time and the bottom graph is the angular displacement in response to the steam passing through rod and causing the material to expand.

We used the linear expansion formula to solve for the unknown alpha constant, which is based on the thermal expansion properties of a particular material, in this case it was close to the aluminum coefficient of linear expansion within an uncertainty of α=2.93x10^-5 ± 3.904x10^-6 C^-1   .

 

Since we had uncertainty with the rotary motion detector we propagated the linear expansion equation and found 3.904x10^-6 and our final answer fell within the uncertainty range as I stated above

Latent Heat -Lab 2

 

 

Again we used an immersion heater of 297.6 W and temperature sensors, but in this experiment we tried to determine the amount of energy to melt a kilogram of ice per degree Celsius referred to as latent heat of vaporization.

 

 

This graph shows how the temperature vs time of the ice melting in response to the constant energy input from the immersion heater. It flattened out until having enough energy per mass to reach the latent heat of fusion where it would transition to liquid, but we captured the latent heat of vaporization in our graphs and calculations. Which is consistent based on the different energy required to phase change.

 

Here is our calculations for latent heat of vaporization, which is the energy per mass to cause a liquid to change to gas 2409140 J/kg

Here we used a statistical method to use the different lab groups numbers to create an uncertainty among our measured values that resembles an average of the calculated  and our experimental value fell with in it
+/- 836164.998 J/kg
Ideal Gas Law -Lab 3

We used this apparatus to measure the pressure over the area in the syringe

the first graph showed the proportionality relationship between pressure and temperature and the bottom showed the two temperatures collected

here we wrote about the relation ship pV=nrt in  the above graph and also from the one you displayed the proportionality of pressure vs temperature.

here was the calculations on the graph that confirmed the inverse relationship between pressure and volume as volume increase pressure decreases.

Throughout all three labs we utilized different devices and analytical tools to confirmed relationships among behaviors dealing with temperature change and gas, solid, and liquids. We initially focused on solids and heat and their interconnectedness, next we looked at  solid to liquids specifically the latent heat of fusion that calculated the energy to phase change, and finally the relationship among pressure, volume and temperature specially the inverse relationship among volume and pressure , and the proportionality of pressure and temperature .