Browsing by Author "Davis, Richard A"
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Item Oxygen Sensor Validation and Analysis of Process Air Oxygen Content at United Taconite(University of Minnesota Duluth, 2007-08) Englund, David J; Davis, Richard ACFX-TASCflow CFD Fortran formerly used to simulate magnetite oxidation and heat transfer between a pellet bed and cross flow gas stream has been revised and converted to ANSYS CFX 11 Command Expression Language for use in CFX11 CFD Cooler models. The conversion has been validated and found to yield consistent results when compared to the previous FORTRAN version. However, revision of the heat of reaction expression for magnetite oxidation now generates more heat release in the bed than the previous version, yielding higher predicted gas and solids temperatures under similar operating conditions. Future studies should focus on methods of estimating pellet entry temperature, incoming magnetite content, and cooling fan flow from plant measurements, to determine if current methods of estimation over-predict magnetite mass flow and solids entry temperatures, and under-predict cooling fan flow rates, as a means to resolve the trend toward higher temperatures in the model simulations. Most of the existing TASCflow cooler grids were found incompatible for CFX 11 simulations, necessitating development of new grids using Solid Works modeling software.Item Pot Grate Induration Simulator(University of Minnesota Duluth, 2007) Englund, David J; Davis, Richard AItem A Pot‐Grate Simulator for Experimental Evaluation of Heat Transfer, Drying, Flux Calcination, and Magnetite Oxidation Mechanisms in Pellet Induration Processes(University of Minnesota Duluth, 2005) Englund, David J; Davis, Richard AItem Process Modeling of Pellet Induration Furnaces(University of Minnesota Duluth, 2000-07-13) Davis, Richard A; Englund, David JThis report completes a two-year collaborative effort between Minntac, NRRI Coleraine Minerals Laboratory and UMD Chemical Engineering, aimed at modeling the Minntac Line 6 GrateKiln induration system. The goals of this research were twofold: 1. Develop numerical models of existing taconite induration operations. 2. Demonstrate application of these models for process analysis leading to improved process efficiency defined by increased productivity and reduced fuel costs.