Dataset for: The use of computational fluid dynamics to predict the turbulent dissipation rate and droplet size in a stirred autoclave

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