Experimental Challenges of Shear Rheology: How to Avoid Bad Data

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How do you know when to trust your rheology data? How do you avoid bad data? Is there a checklist? Can you co-plot quantitative experimental boundaries against measured data? This presentation will discuss techniques for identifying and minimizing experimental errors and for pushing the experimental limits of rotational shear rheometers. The objective is to enable participants to identify bad shear rheology data, hypothesize and test causes of error, co-plot quantitative experimental limits against measured data, and use these skills to present great data.
Presented by Randy H. Ewoldt, Assistant Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign.
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[@MsTeaAndCrump3ts]

This lecture was amazing! Thank you so much. You really helped with my data. Now I have to go back and apply this to see if the data is usable.

[@ycs5567]

Excellent video