The following creep data were taken on an aluminum alloy at \(480^{\circ} \mathrm{C}\left(900^{\circ} \mathrm{F}\right)\) and a constant stress of \(2.75 \mathrm{MPa}\) (400 psi). Plot the data as strain versus time, then determine the steady-state or minimum creep rate. Note: The initial and instantaneous strain is not included. $$ \begin{array}{cccc} \hline \text { Time } \text { (min) } & \text { Strain } & \text { Time } \text { (min) } & \text { Strain } \\ \hline 0 & 0.00 & 18 & 0.82 \\ \hline 2 & 0.22 & 20 & 0.88 \\ \hline 4 & 0.34 & 22 & 0.95 \\ \hline 6 & 0.41 & 24 & 1.03 \\ \hline 8 & 0.48 & 26 & 1.12 \\ \hline 10 & 0.55 & 28 & 1.22 \\ \hline 12 & 0.62 & 30 & 1.36 \\ \hline 14 & 0.68 & 32 & 1.53 \\ \hline 16 & 0.75 & 34 & 1.77 \\ \hline \end{array} $$

First, let's plot the given data points as strain (y-axis) vs time (x-axis). This will give us a visual representation of how the strain changes over time under a constant stress. The data points are: Time (min): [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34] Strain: [0.00, 0.22, 0.34, 0.41, 0.48, 0.55, 0.62, 0.68, 0.75, 0.82, 0.88, 0.95, 1.03, 1.12, 1.22, 1.36, 1.53, 1.77] Plot these data points on a graph using any graphing tool or software you prefer (e.g., Excel, Google Sheets, Desmos, etc.).

Now that we have the plot, we need to determine the steady-state (minimum) creep rate. This can be found by identifying the linear region of the plot and calculating the slope (strain rate) of that region. 1. Examine the plot and identify the linear region where the slope remains constant. This is typically observed in the middle of the curve. 2. Choose two points within the linear region from the given data points and calculate the slope, or strain rate, using the formula: Slope (strain rate) = (strain2 - strain1) / (time2 - time1) 3. The Slope calculated in step 2 represents the steady-state (minimum) creep rate. Note: The exact steady-state (minimum) creep rate may vary depending on the chosen points within the linear region. To minimize error, you can use more than two points and calculate the average slope among those points. Also, you may consider using linear regression to calculate the slope in the linear region.