Purdue University Graduate School
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Thesis (Revised Draft).pdf (2.75 MB)

FLOW COEFFICIENT PREDICTION OF A BOTTOM LOAD BALL VALVE USING COMPUTATIONAL FLUID DYNAMICS

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thesis
posted on 2019-05-15, 12:45 authored by Daniel A GutierrezDaniel A Gutierrez
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.

History

Degree Type

  • Master of Science

Department

  • Engineering Technology

Campus location

  • West Lafayette

Advisor/Supervisor/Committee Chair

Dr. Mark French

Advisor/Supervisor/Committee co-chair

Dr. Jose Garcia Bravo

Additional Committee Member 2

Mr. Paul McPherson

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