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Computational optimization approach to design a water-jet nozzle for a water-jet loom using the design of experiment method

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Abstract

A water-jet nozzle is widely used on a water-jet loom to carry thread from one side of the loom to the other. The nozzle performance is important for the loom design and is measured in terms of the water drag force. A computational approach is proposed to design and optimize a water-jet nozzle using the design of experiment (DOE) method. Computations were carried by solving the incompressible Navier-Stokes equations with the standard k-ε turbulence model. ANSYS Fluent software was used to solve the fluid flow with Minitab software, which was used for optimization of the geometric parameters. The computational results show that the optimized nozzle has better performance than the original nozzle. The computational optimization approach was experimentally confirmed to be useful in designing a water-jet nozzle for water-jet looms.

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References

  1. S. Adanur, Handbook of Weaving, CRC Press (2000).

    Book  Google Scholar 

  2. A. C. Bullerwell and M. H. Mohamed, Measuring beat–up force on a water jet loom, Textile Research Journal, 61 (1991) 214–222.

    Article  Google Scholar 

  3. R. M. Dawson, Shed geometry and weft insertion on the water–jet loom, Journal of Textile Institution, 76 (1985) 1–10.

    Article  Google Scholar 

  4. K. Toshiyasu, Weaving machinery and its related technologies, Journal of Textile Engineering, 53 (2) (2007) 43–52.

    Article  Google Scholar 

  5. L. Xiangium, L. Dingding and F. Zhihu, Structural optimization of the main nozzle in an air–jet loom based on orthogonal test method, Journal of Textile Engineering and Fashion Technology, 1 (5) (2017) 172–178.

    Google Scholar 

  6. R. M. Dawson and J. F. Moseley, 75—some observations of weft insertion by water jet, Journal of the Textile Institute, Taylor & Francis (1974).

    Google Scholar 

  7. L. Chen, Z. Feng, T. Dong and W. Wang, Numerical simulation of the internal flow field of a new main nozzle in an airjet loom based on Fluent, Textile Research Journal, 85 (15) (2015) 1590–1601.

    Article  Google Scholar 

  8. B. Strauss, An investigation of water jet thread propulsion, M.S. Thesis, Georgia Institute of Technology (1976).

    Google Scholar 

  9. ANSYS FLUENT, User’s Manual (2009).

  10. T. Greenfield and A. Metcalfe, Design and Analysis Your Experiment with Minitab, ISBN: 978–0–470–71114–9 (2011).

    Google Scholar 

  11. F. R. Menter, Two–equation eddy–viscosity turbulence models for engineering applications, AIAA, 32 (1994) 269–289.

    Article  Google Scholar 

  12. J. M. Nouri, E. Abo–Serie, A. Marchi, N. Mitroglou and C. Arcoumanis, Internal and near nozzle flow characteristics in an enlarged model of an outwards opening pintle–type gasoline injector, Journal of Physics: Conference Series, 85 (2007) 012035.

    Google Scholar 

  13. S. Verma, S. K. Moulick and S. K. Mishra, Nozzle wear parameter in water jet machining: The review, International Journal of Engineering Development and Research, 2 (2014) 1063–1073.

    Google Scholar 

  14. U. H. Jung, J. H. Kim, S. Kim, J. H. Kim and Y. S. Choi, Analyzing the shape parameter effects on the performance of the mixed–flow fan using CFD & Factorial design, Journal of Mechanical Science and Technology, 30 (3) (2016) 1149–1161.

    Article  Google Scholar 

  15. http://www.kotmi.re.kr/.

  16. V. P. S. Narayana, Novel method for dynamic yarn tension measurement and control in direct cabling process, Ph.D. Dissertation, North Carolina State University (2005).

    Google Scholar 

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Authors and Affiliations

  1. School of Mechanical Engineering, Yeungnam University, Seoul, Korea

    Makhsuda Juraeva, Dong Joo Song & Dong Jin Kang

Authors
  1. Makhsuda Juraeva
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  2. Dong Joo Song
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  3. Dong Jin Kang
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Corresponding author

Correspondence to Dong Jin Kang.

Additional information

Recommended by Associate Editor Jungil Lee

Dong Jin Kang received his B.E. degree in Mechanical Engineering from Yeungnam University, Gyeungsan, Korea in 1985. He received his M.E. and Ph.D. degrees in Mechanical Engineering from KAIST, Seoul, Korea in 1987 and 1991, respectively. He is currently Professor at the School of Mechanical Engineering of Yeungnam University, Gyeungsan, Korea. His research interests include simulations of fluid flow and heat transfer in micro devices.

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Juraeva, M., Song, D.J. & Kang, D.J. Computational optimization approach to design a water-jet nozzle for a water-jet loom using the design of experiment method. J Mech Sci Technol 33, 631–637 (2019). https://doi.org/10.1007/s12206-019-0118-3

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  • DOI: https://doi.org/10.1007/s12206-019-0118-3

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