Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Identification of the flow pattern from the experimental pressure signal in horizontal pipes carrying two-phase flows
Submission Author:
Daniely Amorim das Neves , DF
Co-Authors:
Daniely Amorim das Neves, Saon Vieira, Juliana Cenzi, Aline Souza de Paula, Marcelo Souza de Castro, Adriano Todorovic Fabro
Presenter: Daniely Amorim das Neves
doi://10.26678/ABCM.COBEM2023.COB2023-2058
Abstract
Identifying the flow pattern in two-phase systems is extremely important, as the flow pattern is directly related to the pressure gradient, and heat transfer from the mixture, in addition to being relevant in matters of flow assurance. This work proposes an approach for identifying the pattern of two-phase flow in horizontal pipes through noninvasive pressure measurements. The flow patterns are classified dimensionless thresholds based on nonlinear analysis of time series, namely the correlation dimension, Lyapunov, and Hurst exponents. The flow patterns analyzed were: stratified-smooth, stratified-wavy, elongated-bubble, slug and dispersed-bubbles. The results indicate that the system response is chaotic for all flow patterns due to the positive sign of the Lyapunov exponent. It was possible to separate oscillatory flows patterns from non-oscillatory flows patterns using the Hurst exponent. Smooth and wavy stratified patterns were separated from intermittent and dispersed bubbles by the correlation dimension. However, the proposed approach provides a flow pattern classification based on the non-linear flow dynamics of a single non-intrusive pressure measurement.
Keywords
Two-phase Flow, flow pattern classification, nonlinear series, nonlinear chaos analysis
