Abstract:

This dataset contains the results of turbulence field simulations using computational fluid dynamics (CFD) to determine the maximum turbulent dissipation rate (TDR) and droplet size distribution (DSD). The results were compared to DSD experimental values obtained by Aman et al., 2015 using an autoclave. The results presented here were obtained using a finite volume method based ANSYS Fluent 16.2 and 17.2. The data includes normalized turbulent kinetic energy vs radius at the midplane of the domain, simulated and experimental values of the Sauter mean diameter, contours of turbulent dissipation rate (TDR) and turbulent kinetic energy (TKE). The dataset contains all the values presented in the tables and graphs of the publication: Booth, C. P., Leggoe, J. W., & Aman, Z. M. (2018). The use of computational fluid dynamics to predict the turbulent dissipation rate and droplet size in a stirred autoclave. Chemical Engineering Science. DOI:10.1016/j.ces.2018.11.017

Suggested Citation:

Zach Aman. 2019. Dataset for: The use of computational fluid dynamics to predict the turbulent dissipation rate and droplet size in a stirred autoclave. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-s3m1-x947

Publications:

Booth, C. P., Leggoe, J. W., & Aman, Z. M. (2018). The use of computational fluid dynamics to predict the turbulent dissipation rate and droplet size in a stirred autoclave. Chemical Engineering Science. doi:10.1016/j.ces.2018.11.017

Purpose:

Determine if computational fluid dynamics was capable of predicting the droplet sizes that form in a high-pressure autoclave and investigate using a turbulence Reynolds number to scale across different experimental systems.

Data Parameters and Units:

The x- and y- coordinates, turbulence dissipation rate (TDR, m^2/s^3), turbulent kinetic energy (TKE, m^2/s^2), normalized TKE (unitless; TKE/v_tip^2, where v_tip is the velocity at the tip of the turbine, v_tip = 0.1309 m/s), normalized radius at the midplane (unitless; Radius/r_b, where r_b is radius of the turbine used in the validation study, r_b= 12.5 mm), Reynolds number (unitless), Sauter mean diameter (μm), Kolmogorov lengths (μm), minimum observed droplet size (μm), mesh size (mm), mean absolute difference of the normalized turbulence kinetic energy. The dataset also includes the normalized averaged turbulent kinetic energy versus radius at the midplane of the domain from Dong et al., 1994. Correction note: In excel tab “Figure 3” the radius and TKE variable for Dong et al., 1994 should be Radius= [1.2075, 2.0114, 2.8146, 3.6121] on TKE = [0.0924, 0.0501, 0.0232, 0.0079].

Provenance and Historical References:

Aman, Z. M., Paris, C. B., May, E. F., Johns, M. L., & Lindo-Atichati, D. (2015). High-pressure visual experimental studies of oil-in-water dispersion droplet size. Chemical Engineering Science, 127, 392–400. doi:10.1016/j.ces.2015.01.058 Dong, L., Johansen, S. T., & Engh, T. A. (1994). Flow induced by an impeller in an unbaffled tank—I. Experimental. Chemical Engineering Science, 49(4), 549–560. doi:10.1016/0009-2509(94)80055-3

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