网络研讨会: Expert Guide to the Comparability of Dynamic Image Analysis and Sieving

Sieving is still the most common method for particle size determination of bulk materials. Since most product specifications are based on this, any alternative method must demonstrate that it is capable of producing sufficiently comparable results. For powders and granulates, dynamic image analysis is becoming increasingly popular as it is a fast and very easy to use technique that provides high resolution size distributions and particle shape information.

In this 45-minute webinar, we will examine the systematic differences between conventional sieving and dynamic image analysis, and provide a guide on how to achieve nearly identical results with both methods, so that dynamic imaging can be used without having to adjust product specifications.

Topics

Sieve Analysis: Possibilities, Limitations, Uncertainties
Dynamic Image Analysis: Size Definitions and Particle Shape
Comparison of Results for Different Materials
Creating a Robust Correlation for 2D and 3D Image Analysis

Presented by:

Jinyi Ge, PhD, Application Specialist at Microtrac (part of Verder Scientific), completed her postdoctoral research at Princeton University on waste/wastewater treatment and material characterization. During her PhD and postdoctoral years, she published 11 first-author and 8 co-author papers in American Chemical Society (ACS) and Elsevier journals. She is also an Associate Editor of Renewable Agriculture and Food Systems at Cambridge University Press, as well as an Editorial Board Member of Experimental Results at Cambridge University Press.