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The Effects of the Downstream Contraction Ratio of Organ-Pipe Nozzle on the Pressure Oscillations of Self-Resonating Waterjets

Author

Listed:
  • Xiaoliang Wang

    (Hubei Key Laboratory ofWaterjet Theory and New Technology, Wuhan University, Wuhan 430072, China
    School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Yong Kang

    (Hubei Key Laboratory ofWaterjet Theory and New Technology, Wuhan University, Wuhan 430072, China
    School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Mengda Zhang

    (Hubei Key Laboratory ofWaterjet Theory and New Technology, Wuhan University, Wuhan 430072, China
    School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Miao Yuan

    (Hubei Key Laboratory ofWaterjet Theory and New Technology, Wuhan University, Wuhan 430072, China
    School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Deng Li

    (Hubei Key Laboratory ofWaterjet Theory and New Technology, Wuhan University, Wuhan 430072, China
    School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

Abstract

Self-resonating waterjets (SRWJs) are being widely used in the fields of energy exploitation, due to the significantly increased penetration rate of roller bits in deep-hole drilling. To further improve the impact and erosion abilities of SRWJs, the effects of the downstream contraction ratio of organ-pipe nozzle on the axial pressure oscillations were experimentally studied. The axial pressure oscillation peak and amplitude were used to evaluate the effects under two inlet pressures and various standoff distances. The results show that the downstream contraction ratio can affect the development trends of the pressure oscillations and determines the values of the peaks and amplitudes. Under the experimental conditions, 2.5 is the ratio that leads to the maximum peaks and amplitudes at almost all the testing standoff distances, while the ratio of 2 always results in the minimum ones. The development trend of the pressure oscillation peak for the ratio of 3.5 has a great change at an inlet pressure of 20 MPa. Generally, the relative pressure oscillations are more violent at an inlet pressure of 10 MPa, which is regardless of the contraction ratio. This study helps provide a guideline for determining the physical parameters required in the fabrication of organ-pipe nozzles used for deep-hole drilling.

Suggested Citation

  • Xiaoliang Wang & Yong Kang & Mengda Zhang & Miao Yuan & Deng Li, 2018. "The Effects of the Downstream Contraction Ratio of Organ-Pipe Nozzle on the Pressure Oscillations of Self-Resonating Waterjets," Energies, MDPI, vol. 11(11), pages 1-12, November.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3137-:d:182429
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    References listed on IDEAS

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    1. Patrizia Beraldi & Antonio Violi & Maria Elena Bruni & Gianluca Carrozzino, 2017. "A Probabilistically Constrained Approach for the Energy Procurement Problem," Energies, MDPI, vol. 10(12), pages 1-17, December.
    2. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    3. Pin Li & Jin-Suo Zhang, 2018. "A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost," Energies, MDPI, vol. 11(7), pages 1-28, June.
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    Cited by:

    1. Mengda Zhang & Zhenlong Fang & Yi’nan Qian, 2021. "Experimental Study on the Impingement Characteristics of Self-Excited Oscillation Supercritical CO 2 Jets Produced by Organ-Pipe Nozzles," Energies, MDPI, vol. 14(22), pages 1-15, November.
    2. Tengfei Cai & Yan Pan & Fei Ma & Pingping Xu, 2020. "Effects of Organ-Pipe Chamber Geometry on the Frequency and Erosion Characteristics of the Self-Excited Cavitating Waterjet," Energies, MDPI, vol. 13(4), pages 1-13, February.

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