The following table gives the thermoconductivity of the washers. You will note that they don’t follow the nice -1, 0, +1 format of experimental designs. You decide what to use, and if it is important in you final analysis of data. Also, because they don’t fit the nice pattern, you will need to calculate the values of your coded variables For example, your real values might be -0.89, 0, 1.2; or you may chose to set the ends at -1 and +1, and you midpoint may not be zero.
Material |
Thermal Conductivity (Btu / ft h °F) |
Stainless Steel |
9.4 |
Wrought Iron |
34.6 |
Brass |
60 |
Aluminum |
119 |
Copper |
218 |
If you take thermal conductivity as dependent variable in anova set up, if it is to be taken as categorical variable you can create 4 dummies which will take value 1 if it is stainless steel or wrought iron, brass, Aliminium excetra. Else if conductivity of stainless steel is taken as standard for comparison, then conductivity of iron, brass, aluminium copper are approximately 3,6,13,26 times that of stainless steel. Hence a variable coded as 3,6,13,26 can be used as proxy for thermal conductivity.
The following table gives the thermoconductivity of the washers. You will note that they don’t follow the nice -1, 0, +1...
ONLY PART C is needed 10. (19.22) Nonsteady-state heat flow may be described by the following partial differential equation эт ㄒㄧ 2 at where DT is the thermal diffusivity; this expression is the thermal equivalent of Fick's second law of diffiusion (Equation 5.4b). The thermal diffusivity is defined according to D_ k In this expression, k, p, and cp represent the thermal conductivity, the mass density, and the specific heat at constant pressure, respectively (a) What are the SI units...
can you write a conclusion for the report? Thermal Conductivity Lab Introduction The objective of this lab is to explore the thermal conductivity of various materials using Fourier’s Law and a steady state system. Certain materials are more effective heat conductors than others. The effectiveness of a given material at heat conduction is influenced by many factors, including density, molecular structure, and chemical composition. Fourier’s Law takes these factors into account to calculate Q, or the joules per second rate...