IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8116282.html
   My bibliography  Save this article

Numerical and Theoretical Investigation to Estimate Darcy Friction Factor in Water Network Problem Based on Modified Chun-Hui He’s Algorithm and Applications

Author

Listed:
  • Waseem Asghar Khan
  • Muhammad Arif
  • Mogtaba Mohammed
  • Umer Farooq
  • Fozia Bashir Farooq
  • Murtada K. Elbashir
  • Jamshaid Ul Rahman
  • Ziyad Ali AlHussain
  • Alessandro Rasulo

Abstract

In this work, we applied the modified Chun-Hui He’s algorithm to evaluate for estimation of flow friction factor f for value of friction factor by using Colebrook–White relation. The speedy, precise, and consistent evaluation of flow friction factor f are essential for evaluation of pressure dips and streams in complex network prototypes at distinct values of diameters of pipes. Friction factor estimated outcomes are applied in everyday engineering routine. Numerous computational systems tested for distinguishing of water pipe networks resolution, such as Hardy Cross method (HCM), Newton method (NM), and modified Newton method (MNM), are presented. As a novelty, a modified Newton method tabulated data, graphical results, and comparisons that are presented with different numerical schemes.

Suggested Citation

  • Waseem Asghar Khan & Muhammad Arif & Mogtaba Mohammed & Umer Farooq & Fozia Bashir Farooq & Murtada K. Elbashir & Jamshaid Ul Rahman & Ziyad Ali AlHussain & Alessandro Rasulo, 2022. "Numerical and Theoretical Investigation to Estimate Darcy Friction Factor in Water Network Problem Based on Modified Chun-Hui He’s Algorithm and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, February.
    • Handle: RePEc:hin:jnlmpe:8116282
    DOI: 10.1155/2022/8116282
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/8116282.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/8116282.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/8116282?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:8116282. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.