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Investigation on failure process and structural optimization of a high pressure letdown valve
Affiliation:1. The Flow Induced Corrosion Institution, Zhejiang Sci-Tech University, Hanzhou, Zhejiang 310018, China;2. National Quality Supervision and Inspection Center of Pneumatic Products, Fenghua, Zhejiang 315500, China;3. Hangzhou Fluid Technology Co.,Ltd., Hangzhou, Zhejiang 310018, China;4. China Shenhua Coal to Liquid and Chemical Co.,Ltd., Ordos 017000, China;1. Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, FR-31400 Toulouse, France;2. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
Abstract:High pressure letdown valve in direct coal liquefaction is used to adjust the flow rate of coal–oil slurry that enters into the downstream separator. Severe erosion–cavitation wear is found on the valve spool, seriously affecting the safety and reliability of unit. The majority of this paper investigates the failure process of valve spool and proposes a corresponding structural optimization via computational fluid dynamics (CFD) methodology. Three geometries of different failure states are selected as the computational domains in the numerical simulation. The Schneer–Sauer model, particle rebound-velocity model and erosion model are employed to calculate the cavitation phenomenon and erosion rates distribution. Experiments of flow rates and cavitation on valve model under different pressure drops are conducted to validate the accuracy of numerical approach. Results showed that the damage development of valve spool aggravates the erosion–cavitation wear. The maximum erosion rates are located on the top of spool head in all the three states. The erosion rates on spool arc surface are two orders of magnitude higher than that on parabolic surface. The decrease in radius of spool head reduces the intensities of erosion–cavitation wear. The numerical results are in agreement with actual failure morphologies of valve spool in different states.
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