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

Lesson 2: Designing Coffee

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Brewing the Perfect Coffee through Chemical Engineering

Exploration - Understanding Data: Let’s Make Coffee!

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,

• ur 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 𝐷𝑡𝑏𝑢 = 1 − 𝑓−𝑙𝑢

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

• f factors?

Design of Experiments (DoE/DoX)

 Design of Experiments refers to the design and

planning of an experiment to test the effect of factors

• n 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.

 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.

Notebook Check

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.