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Author:

Zhang, Jixin (Zhang, Jixin.) | Fan, Jianchun (Fan, Jianchun.) | Wang, Tong (Wang, Tong.) | Wang, Xinhua (Wang, Xinhua.)

Indexed by:

EI Scopus

Abstract:

The fracturing fluid with solid particles in the process of high-speed injects to high pressure pipe manifolds will cause serious erosion damage, lead to serious material loss and equipment failure. In this paper ,experimental study on the main factors affecting erosion rate of alloy steel materials for high-pressure pipe and tee as impact angles and impact velocity by new erosive wear test machine. The erosion rate model was established based on the erosion theory and the results of erosion experiment. Computational fluid dynamics (CFD) analysis has been used to predict erosion behavior in high pressure pipe and tee geometries that are highly susceptible to erosion in the process of fracturing operation. With standard k-Ε turbulence, discrete phase and erosion model, the erosion wear rate on the inner wall and velocity characteristic in straight pipe and tee were obtained. The results show that downstream triplet and dorsal competent near branch place are easy to wear. The study is expected to provide reference for high-pressure pipeline defect detecting and optimization design. © ASCE 2013.

Keyword:

High pressure engineering Fracturing fluids Wear of materials High pressure pipelines Trenching Alloy steel Computation theory Erosion Computational fluid dynamics

Author Community:

  • [ 1 ] [Zhang, Jixin]Beijing Municipal Institute of Labour Protection, No.55 Taoran Road, Beijing 100054, China
  • [ 2 ] [Fan, Jianchun]Research Center of Oil and Gas Safety Engineering, China University of Petroleum Beijing, 18 Fuxue Road, Changping, Beijing 102249, China
  • [ 3 ] [Wang, Tong]Beijing Municipal Institute of Labour Protection, No.55 Taoran Road, Beijing 100054, China
  • [ 4 ] [Wang, Xinhua]School of Mechanical and Electric Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Year: 2013

Page: 927-934

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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