In addition to the last post, since we took various measurements, there is inherent uncertainty that we identified. We found the uncertainty for the temperature sensors on the company's website to be +/- .2 at 0 C and +/- 0.5 C at 100 C. The thickness that we used for our L was measured with a caliper that had a .005 mm uncertainty taking half the smallest unit. The mass was found by using a graduated cylinder that had an uncertainty of +/-.5 g. We ran into trouble when looking for the uncertainty for Q, therefore we could not finish our propagations without all aspects of the equation needed to attain a sufficient uncertainty for k.

Next,

 We used an immersion coil and temperature sensors as well as LoggerPro to track the heat change in the room temperature water we stirred for 20 seconds.

After adjusting the original heat vs time graph to heat vs temp graph we observed a linear or proportional relationship between the heat and temperature. And used the slope to find the heat capacity of 0.8372 J/C

 

In summary, throughout the lab we observed and created different aspects of heat transfer specifically conductivity we saw a distinct relationship between heat and temperature.  

Heat Transfer Lab

We utilized a pair of temperature sensors to measure the temperature change and consequently the heat transfer of the differing temperatures between the environments outside and
 inside of the aluminum can as they reached thermal equilibrium.

We determined
dQ/dt by the slope of the Heat vs Time Graph, because it represented the rate at which Heat was changing with respect to time and is consistent with what we defined the heat flow to be. As time progressed the two different temperature approached a thermal equilibrium and did so at the stated rate above.

We concluded k (the thermal conductivity of Aluminum) to be.02 W/m C, by using the dimensions and temperature we stated above, with the equation on the bottom right of the next picture