Understanding Data: Lets Make Coffee! Lesson 2: Designing Coffee - PowerPoint PPT Presentation

Exploration - Understanding Data: Let’s Make Coffee! Lesson 2: Designing Coffee or Brewing the Perfect Coffee through Chemical Engineering

Your Coffee Brewing Task EYW Coffee Co. provides high-quality ready-to-drink coffee brews. They have just sent you a memo regarding a new project proposal: Having experienced much success from our regular strong brews, we have decided to expand into an untapped market: lighter brews for people who enjoy the taste of coffee without heavy doses of caffeine. Instead of the standard coffee conductivity of 1800 µS, our light brew will have a conductivity of 300 µS when brewed in deionized water. We start with whole coffee beans and water. Our processing plant only has a grinder, heater, and brew tank, so we can only adjust particle size , temperature , residence time , and the coffee/water ratio . Examine different conditions and help us determine which combination will give us the desired cup of coffee in the quickest and most consistent manner.

What factors will affect our experiment?  Fixed  Coffee bean brand and type  Water quality  Variable  Coffee/water ratio  Temperature  Particle Size  Residence Time

What factors will affect our experiment?  Fixed  Coffee bean brand and type  Water quality  Variable  Coffee/water ratio  Temperature  Particle Size  Residence Time

Let’s try it – brew some coffee!  Follow the experimental procedures and record your data in your engineering notebook.  Add your data to the class data set.  What do we notice about the class data set?  What do you think a graph of concentration (TDS-µS) versus time will look like? 𝐷 = 1 − 𝑓 −𝑙𝑢 𝐷 𝑡𝑏𝑢

How many experiments do we need to run?  Recall our variables:  Coffee/water ratio: 0.01 to 0.05 g coffee per 1 mL water  Temperature: 40 ° C to 50 ° C (low) to 65 ° C to 75 ° C (high)  Particle Size: fine ground to whole bean  Let’s agree to test only the extremes of each variable.  How many different experiments (different combinations of factors) are possible?  How many trials should we run for each combination of factors?

Design of Experiments (DoE/DoX)  Design of Experiments refers to the design and planning of an experiment to test the effect of factors on a controlled variable.  We must check eight combinations in our three-factor DoE.  For efficiency, teams will share data to create a class data set.  Each group will test four combinations.  If your group finishes early, test more combinations to increase the data in our data set. (Why?)  Record and sketch graphs of your data in your engineering notebooks.

Notebook Check  Place post-it notes on the appropriate pages in your notebook to denote the following items:  Coffee Brewing Challenge  Fixed and Variable Factors (with ranges)  Experimental Data (trial)  Experimental Data (assigned combinations)  Write down the name of the appropriate item on each post-it.  Place a post-it in your notebook for anything else you are particularly proud of or would like me to see.

Homework and What’s Next  Be working on your research project into chemical engineering fields and professions.  Next time, we will discuss how to analyze the data that we have collected.