Experimental Challenges of Shear Rheology, How to Avoid Bad Data
Watch this webinar, entitled - Experimental Challenges of Shear Rheology, How to Avoid Bad Data
Experimental Challenges of Shear Rheology: How to Avoid Bad Data
Video credit: TA instruments
About this webinar:
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.
About the speaker:
Randy H. Ewoldt is an Assistant Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. He has Ph.D. and S.M. degrees from MIT, and a B.S. degree from Iowa State, all in Mechanical Engineering. Before joining Illinois, he held a post-doctoral fellowship at the University of Minnesota. At Illinois, his research group studies rheology, fluid mechanics, and design of complex fluids; in particular, this includes yield stress fluids, polymer gels, biological materials, and large-amplitude oscillatory shear (LAOS) characterization. His work has been recognized by young investigator awards from NSF, ASME, 3M, DuPont, and The Society of Rheology.
Who should watch:
If you're interested in rheology, data quality and general materials testing, this is the webinar for you