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Dec 03, 2024 | 352 words | 4 min read
2.3.2. Task 2
Viscosity Quality Control
Learning Objectives
By the end of this task, students will be able to proficiently import and
organize data in MS Excel, select and justify appropriate data
visualization techniques, and create well-formatted technical plots for
professional presentations. They will develop the ability to critically evaluate
data for outliers or measurement errors, calculate the percentage of
measurements that meet specified product requirements, and interpret the results
in the context of quality control. Finally, students will synthesize their
analysis into clear conclusions and recommendations, effectively communicating
their findings to the engineering team.
Introduction
A quality control engineer has just been hired at a company that produces engine
oil for race cars. The specification for a specific engine oil is \([0.475, 0.525] \pascal * \second\). Some customers have returned the product claiming
that the product viscosity is outside the specifications. The quality control
engineer has measured the product viscosity at \(50\) evenly spaced time
intervals; the results are included in a text file. The engineer must present
their results, conclusions, and recommendations to the engineering team at the
next meeting.
Task Instructions
Open the answer sheet ex2_ind_2_username.xlsx. Save it with your
Purdue username replacing username in the file name.
In the Input Section of the sheet, import the data from the file ex2_ind_2_viscosity.txt.
Under the Calculation Section,
Compute number of data points within and outside the specifications. Use
in-built functions of MS Excel to calculate these values.
Based on the values computed in the previous step, compute the percent
values within specifications.
In the Figure Section of the spreadsheet ex2_ind_2_username.xlsx,
Plot the measurements of viscosity in \(50\) evenly spaced time
intervals.
Plot the measurements of viscosity in \(50\) evenly spaced time
intervals with upper and lower specification interval.
Copy the following questions into the Output Section of the spreadsheet
ex2_ind_2_username.xlsx, and then add your answers.
Does the data appear to have outliers or errors in measurement? Why or why not?
What percentage of the measurements meets the specification of being
within \([0.475, 0.525] \pascal * \second\)?
Given your answer to the previous question, and your plot, summarize the
engineer’s main message to the engineering team about the process.
Save the ex2_ind_2_username.xlsx file as
ex2_ind_2_values_username.pdf
displaying the values and
ex2_ind_2_formulas_username.pdf
displaying the formula.
Submit both files to Gradescope.
