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Inventi Impact: Artificial Intelligence

Articles

  • Inventi:eai/19703/16
    Intelligent Flow Friction Estimation
    01-Jan-1970 Research 2016 : July - September
    Dejan Brkic, Zarko Cojbasic

    Nowadays, the Colebrook equation is used as a mostly accepted relation for the calculation of fluid flow friction factor.However, the\nColebrook equation is implicit with respect to the friction factor (

    How to Cite this Article
    Nowadays, the Colebrook equation is used as a mostly accepted relation for the calculation of fluid flow friction factor.However, the\nColebrook equation is implicit with respect to the friction factor (????). In the present study, a noniterative approach using Artificial\nNeural Network (ANN) was developed to calculate the friction factor. To configure the ANN model, the input parameters of the\nReynolds Number (Re) and the relative roughness of pipe (????/????) were transformed to logarithmic scales. The 90,000 sets of data\nwere fed to the ANN model involving three layers: input, hidden, and output layers with, 2, 50, and 1 neurons, respectively. This\nconfiguration was capable of predicting the values of friction factor in the Colebrook equation for any given values of the Reynolds\nnumber (Re) and the relative roughness (????/????) ranging between 5000 and 108 and between 10?7 and 0.1, respectively.The proposed\nANN demonstrates the relative error up to 0.07% which had the high accuracy compared with the vast majority of the precise\nexplicit approximations of the Colebrook equation.
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