%0 Thesis %A Gutierrez, Daniel A %D 2019 %T FLOW COEFFICIENT PREDICTION OF A BOTTOM LOAD BALL VALVE USING COMPUTATIONAL FLUID DYNAMICS %U https://hammer.purdue.edu/articles/thesis/FLOW_COEFFICIENT_PREDICTION_OF_A_BOTTOM_LOAD_BALL_VALVE_USING_COMPUTATIONAL_FLUID_DYNAMICS/8023808 %R 10.25394/PGS.8023808.v1 %2 https://hammer.purdue.edu/ndownloader/files/14946095 %K Computational Fluid Dynamics %K Flow Coefficient %K Valve Design %K Computational Fluid Dynamics %X This study analyzed the ability of computational fluid dynamic software to accurately predict the flow coefficient of three bottom-load ball valves to develop a design which can accurately control flow rate. %I Purdue University Graduate School