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Bionic optimum design of straight cone nozzle and the effectiveness evaluation of reducing fluid resistance

  • Jiwei WenEmail author
  • Chen Chen
  • Ziwei Qi
  • Urso Campos
  • Xiangjun Pei
Technical Paper
  • 43 Downloads

Abstract

High-pressure water jet technology is a clean and effective approach to break, cut or clean solid materials. The nozzle’s hydraulic performance determines the efficiency and quality of the high-pressure water jet technology implementation. The fluid resistance reduction technology of bionic non-smooth surface is applied to the structural design of the straight cone nozzle successfully. The circular groove is selected as the bionic unit. The selection results in the investigation and development of a bionic straight cone nozzle with the optimum hydraulic performance. Moreover, the separated nozzle machining method is successfully implemented. A comprehensive approach that implements the orthogonal experiment, high-pressure water jets’ impact forces testing and range analysis results in the optimization of the bionic straight cone nozzle’s structure. The optimal structural parameters of the nozzle as follows: the outlet diameter is 4 mm, length-to-diameter ratio is 2.5, contraction angle is 60°, the circular groove width is 3 mm, the circular groove depth is 2 mm and the circular groove number is 2. In addition, the circular grooves are uniformly arranged on the surface of the straight cone nozzle’s internal chamber resulting in reduction of the fluid resistance effectively. Under the same experimental conditions, the impact forces of high-pressure water jets produced by the bionic straight cone nozzles are greater in comparison with the impact forces of high-pressure water jets produced by the ordinary straight cone nozzles. The average rate of fluid resistance reduction of bionic straight cone nozzles is up to 2.33%. Furthermore, the results of CFD numerical simulation show that the circular grooves at the contraction and the outlet sections can also reduce the high-pressure water flow resistance effectively. In the meantime, the opposite rotating vortexes in the circular grooves are the main reason for the reduction in fluid resistance of the bionic straight cone nozzle.

Keywords

Straight cone nozzle Fluid resistance reduction Bionic non-smooth surface Bionic optimum design Orthogonal experiment High-pressure water jet technology 

Notes

Acknowledgements

We acknowledge financial supports by the National Natural Science Foundation of China (Grant No. 41602371), the Open Research Fund Program of Ministry of Education Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Grant No. 2017YSJS03), the Key Project of Sichuan Provincial Department of Education (Grant No. 17ZA0028), the Open Research Project of Ministry of Land and Resources Key Laboratory of Drilling and Exploitation Technology in Complex Condition (Grant No. DET201615), the Sichuan Science and Technology Programs of Science & Technology Department of Sichuan Province (Grant No. 2019YJ0506 and Grant No. 2018-598).

References

  1. 1.
    Ren LQ, Liang YH (2016) The introduction of bionics. Science Press, BeijingGoogle Scholar
  2. 2.
    Bhushan B (2009) Biomimetics: lessons from nature-an overview. Philos Trans R Soc Math Phys Eng Sci 367(1893):1445–1486CrossRefGoogle Scholar
  3. 3.
    Tian LM (2005) Bionic study of drag reduction between air and non-smooth surface of blunt body of revolution model. Dissertation, Jilin University, ChangchunGoogle Scholar
  4. 4.
    Zhang CC (2007) Drag reduction of bodies of revolution by flow control using bionic non-smooth surface. Dissertation, Jilin University, ChangchunGoogle Scholar
  5. 5.
    Shen ZH (1998) Water jet theory and technology. China University of Petroleum Press, DongyingGoogle Scholar
  6. 6.
    Xue SX (2006) High- pressure water jet technology & engineering. Hefei University of Technology Press, HefeiGoogle Scholar
  7. 7.
    Wen JW, Chen C (2017) Optimizing the structure of the straight cone nozzle and the parameters of borehole hydraulic mining for Huadian oil shale based on experimental research. Energies 10(12):1–14Google Scholar
  8. 8.
    Wen JW, Chen C, Campos U (2018) Experimental research on the performances of water jet devices and proposing the parameters of borehole hydraulic mining for oil shale. PLoS ONE 13(6):1–32CrossRefGoogle Scholar
  9. 9.
    Wen JW (2014) Numerical simulation and experimental research on the jet devices for borehole hydraulic mining of oil shale. Dissertation, Jilin University, ChangchunGoogle Scholar
  10. 10.
    Chen XC, Deng SS, Guan JF, Hua WX (2017) Experiment and simulation research on abrasive water jet nozzle wear behavior and anti-wear structural improvement. J Braz Soc Mech Sci Eng 39(6):2023–2033CrossRefGoogle Scholar
  11. 11.
    Nair A, Kumanan S (2018) Optimization of size and form characteristics using multi-objective grey analysis in abrasive water jet drilling of Inconel 617. J Braz Soc Mech Sci Eng 40(3):1–15CrossRefGoogle Scholar
  12. 12.
    Dumbhare PA, Dubey S, Deshpande YV, Andhare AB, Barve PS (2018) Modelling and multi-objective optimization of surface roughness and kerf taper angle in abrasive water jet machining of steel. J Braz Soc Mech Sci Eng 40(5):1–13CrossRefGoogle Scholar
  13. 13.
    Njock PGA, Chen J, Modoni G, Arulrajah A, Kim YH (2018) A review of jet grouting practice and development. Arab J Geosci 11(16):1–31CrossRefGoogle Scholar
  14. 14.
    Chi HP, Li GS, Liao HL, Tian SC, Song XZ (2016) Effects of parameters of self-propelled multi-orifice nozzle on drilling capability of water jet drilling technology. Int J Rock Mech Min Sci 86:23–28CrossRefGoogle Scholar
  15. 15.
    Wang B, Li GS, Huang ZW, Ma TQ, Zheng DB, Li K (2017) Lab testing and finite element method simulation of hole deflector performance for radial jet drilling. J Energy Res Technol 139(3):1–10CrossRefGoogle Scholar
  16. 16.
    Sheng M, Li G, Huang Z, Tian S, Qu H (2013) Experimental study on hydraulic isolation mechanism during hydra-jet fracturing. Exp Thermal Fluid Sci 44:722–726CrossRefGoogle Scholar
  17. 17.
    Gu YQ, Liu T, Mu JG, Zhou PJ, Shi ZZ (2017) Analysis of drag reduction methods and mechanisms of turbulent. Appl Bion Biomech 6:1–8Google Scholar
  18. 18.
    Sareen A, Deters RW, Henry SP, Selig MS (2014) Drag reduction using riblet film applied to airfoils for wind turbines. J SolEnergy Eng 136(2):1–8Google Scholar
  19. 19.
    Sasamori M, Mamori H, Iwamoto K, Murata A (2014) Experimental study on drag-reduction effect due to sinusoidal riblets in turbulent channel flow. Exp Fluids 55(10):1–14CrossRefGoogle Scholar
  20. 20.
    Gu YQ, Fan TX, Mou JG, Wu DH, Zheng SH, Wang E (2017) Characteristics and mechanism investigation on drag reduction of oblique riblets. J Cent South Univ 24(6):1379–1386CrossRefGoogle Scholar
  21. 21.
    Gu YQ, Zhao G, Zheng JX, Li ZY, Liu WB, Muhammad FK (2014) Experimental and numerical investigation on drag reduction of non-smooth bionic jet surface. Ocean Eng 81:50–57CrossRefGoogle Scholar
  22. 22.
    Tian LM, Ren LQ, Liu QP, Han ZW, Jiang X (2007) The mechanism of drag reduction around bodies of revolution using bionic non-smooth surfaces. J Bionic Eng 4(2):109–116CrossRefGoogle Scholar
  23. 23.
    Zhang CC, Wang J, Shang YG (2010) Numerical simulation on drag reduction of revolution body through bionic riblet surface. Sci China-Technol Sci 53(11):2954–2959CrossRefGoogle Scholar
  24. 24.
    Bai XQ, Zhang X, Yuan CQ (2016) Numerical analysis of drag reduction performance of different shaped riblet surfaces. Mar Technol Soc J 50:62–72CrossRefGoogle Scholar
  25. 25.
    Yang SQ, Li S, Tian HP, Wang QY, Jiang N (2016) Tomographic PIV investigation on coherent vortex structure over shark-skin-inspired drag-reducing riblets. Acta Mech Sin 32(2):284–294CrossRefGoogle Scholar
  26. 26.
    Kim TW (2014) Assessment of hydro/oleophobicity for shark skin replica with riblets. J Nanosci Nanotechnol 14(10):7562–7568CrossRefGoogle Scholar
  27. 27.
    Li F, Zhao G, Liu WX (2017) Research on drag reduction performance of turbulent boundary layer on bionic jet surface. J Eng Marit Environ 23:258–270Google Scholar
  28. 28.
    Miklosovic DS, Murray MM, Howle LE, Fish FE (2004) Leading-edge tubercles delay stall on humpback whale (megaptera novaeangliae) flippers. Phys Fluids 16(5):39–42CrossRefGoogle Scholar
  29. 29.
    Xu L, Yang M, Ye L, Dong ZP (2015) Computational fluid dynamics analysis and PIV validation of a bionic vortex flow pulsatile LVAD. Technol Health Care 23(S2):443–451CrossRefGoogle Scholar
  30. 30.
    Ren LQ (2009) Experimental design and optimization. Science Press, BeijingGoogle Scholar
  31. 31.
    Chen K (2005) Experimental design and analysis. Tsinghua University Press, BeijingGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.College of Environment and Civil Engineering, Center for Postdoctoral Studies of Geological Resources and Geological Engineering, State Key Laboratory of Geohazard Prevention and Geoenvironment ProtectionChengdu University of TechnologyChengduChina
  2. 2.Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring of Ministry of EducationCentral South UniversityChangshaChina
  3. 3.Key Laboratory of Drilling and Exploitation Technology in Complex Conditions of Ministry of Land and ResourcesJilin UniversityChangchunChina
  4. 4.Trenchless Technology CenterLouisiana Tech UniversityRustonUSA
  5. 5.National-Local Joint Engineering Laboratory of In-situ ConversionDrilling and Exploitation Technology for Oil ShaleChangchunChina
  6. 6.College of Construction EngineeringJilin UniversityChangchunChina
  7. 7.Shenzhen Research and Design InstituteAcademy of Railway Sciences ChinaShenzhenChina

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