Proper Orthogonal Decomposition and Statistical Analysis of 2D Confined Impinging Jets Chaotic Flow

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Pedro Torres (Author) Other; Nelson D. Gonçalves (Author) Other; Claudio P. Fonte (Author) Other; Madalena M. Dias (Author) FEUP; José Carlos B. Lopes (Author) FEUP; Alain Liné (Author) Other; Ricardo J. Santos (Author) FEUP

Journal

Title: Chemical Engineering and Technology

Vol. 42 No. 8

Pages: 1709-1716

ISSN: 0930-7516

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 5 Citations

INSPEC

Associated Projects

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-00Q-QT1

DOI: 10.1002/ceat.201900050

Abstract (EN): Proper orthogonal decomposition (POD) is shown to be a statistical operation that identifies the main characteristics of chaotic flows and separates them into a few modes. The dynamic chaotic flow is obtained from two-dimensional (2D) computational fluid dynamics simulations, for different Reynolds numbers, of a confined impinging jets mixer. POD enables reconstruction of the dynamic flow from a few modes that are related to coherent flow structures. The POD flow reconstruction enables a large compression of the flow data set. The decomposition of the flow field into orthogonal modes related to coherent structures provides direct insight into the mixing dynamics and scales which are not accessible from flow dynamics statistic quantities, which were introduced in the context of turbulence and are here applied to chaotic flow.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8