Pair of particle chain self-organization in a square channel flow of Giesekus viscoelastic fluid

Author:

Hu Xiao12ORCID,Chen Weijin1ORCID,Lin Jianzhong3ORCID,Xia Yan2ORCID,Yu Zhaosheng2ORCID

Affiliation:

1. Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, People's Republic of China

2. Department of Mechanics, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang 310027, People's Republic of China

3. Zhejiang Provincial Engineering Research Center for the Safety of Pressure Vessel and Pipeline, Ningbo University, Ningbo, Zhejiang 315211, People's Republic of China

Abstract

Pair of particle chain self-organization in a square channel flow of Giesekus viscoelastic fluid is studied by the direct forcing/fictitious domain method. The effects of particle diameter, initial particle distance, shear-thinning ( n), Weissenberg number ( Wi), and Reynolds number ( Re) are explored to analyze the mechanism of particle chain self-organization in Giesekus viscoelastic fluid. The results show that the small particle at the equilibrium position moves faster than the larger one and then catches up with it to form a particle chain, in which the large and small particles are located at the front and the end of the chain, respectively. The particle pair with the same diameter cannot form the chain in Giesekus viscoelastic fluid. In addition, the larger the diameter ratio and the initial particle distance, the larger the absolute value of the particle velocity difference, the earlier the particle chain is formed. The particle chain will be formed early with increasing n, Re, and Wi.

Funder

Key R&D Program of Zhejiang Province

National Natural Science Foundation of China

Major Program of the National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

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