Abstract:

This dataset reports the pressure, viscosity, and light scattering both before and after an inline filter. This data was then used to propose a model that utilizes flow rate and filter properties with the data to characterize the filter loading.

Suggested Citation:

Dr. Wayne Reed. 2016. Experimental data for "Filtrodynamics: Time dependent trans-filter pressure signals for early detection and monitoring of particulates during chemical processing".. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7QC01GD

Publications:

Brusamarello, C., Drenski, M. F., Isakov, A., & Reed, W. F. (2013). Filtrodynamics: Time Dependent Trans-Filter Pressure Signals for Early Detection and Monitoring of Particulates During Chemical Processing. Macromolecular Reaction Engineering, 8(3), 186–192. doi:10.1002/mren.201300152

Purpose:

To develop a characterization method that uses filtration for early detection of and monitoring of particulates in chemical processes.

Data Parameters and Units:

Data Units: Time: Is the time since starting the experiment in seconds. t-1000: Is the total time since starting the experiment minus 1000 seconds, since it took time to load the sample (in seconds) time normed to 2.5e-3 mg/mL: The time normalized to a different concentration so it could be compared to other data (in seconds) P1 (v): The pressure of the line prior to the filter measured in differential voltage Visc1 (v): The viscosity prior to the filter measured in voltage LS1(V): The light scattering signal prior to the filter measured in voltage P2 (v): The pressure signal measured after the filter measured in voltage Visc (v): The viscosity measured after the filter measured in voltage LS2 (v): The Light scattering signal measured after the filter measured in voltage

Individual Files: