Optimal Estimation of the Roughness Coefficient and Friction Factor of a Pipeline

Author:

Santos-Ruiz Ildeberto1,López-Estrada Francisco-Ronay2,Puig Vicenç3,Torres Lizeth4,Valencia-Palomo Guillermo5,Gómez-Peñate Samuel2

Affiliation:

1. Tecnológico Nacional de México, IT Tuxtla Gutiérrez, TURIX-Dynamics Diagnosis and Control Group, Carr. Panam. km 1080 S/N, Tuxtla Gutierrez 29050, Mexico; Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Universitat Politècnica de Catalunya, C/. Llorens I Artigas 4-6, Barcelona 08028, Spain

2. TURIX-Dynamics Diagnosis and Control Group, Tecnológico Nacional de México, IT Tuxtla Gutiérrez, Carr. Panam. km 1080 S/N, Tuxtla Gutierrez 29050, Mexico

3. Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Universitat Politècnica de Catalunya, C/. Llorens I Artigas 4-6, Barcelona 08028, Spain

4. Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico

5. Tecnológico Nacional de México, IT Hermosillo. Av. Tecnológico y Periférico Poniente, S/N, Hermosillo 83170, Mexico

Abstract

Abstract This work addresses the estimation of two interrelated parameters of the fluid flow in pipes. First, a numerical and experimental evaluation of some proposed methods to compute the friction factor in turbulent regime is presented. Special attention is given to an explicit solution obtained through the Lambert W-function. Subsequently, a method to estimate the roughness coefficient using nonlinear optimization techniques is proposed, which then allows determining the friction factor from it. Numerical tests were performed for a wide range of operating points of a pipeline. In order to validate the proposed approach, experimental analysis was carried out on a pipeline pilot-plant. The results show the applicability and effectiveness of the proposed method.

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

ASME International

Subject

Mechanical Engineering

Reference61 articles.

1. Nonlinear Estimation of a Power Law for the Friction in a Pipeline,2018

2. Online Leak Diagnosis in Pipelines Using an Ekf-Based and Steady-State Mixed Approach;Control Eng. Pract.,2018

3. Lehrbuch der Ingenieur-und Maschinen;Mechanik,1845

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