Characterization of force networks in a dense high-shear system |
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| Institution: | 1. Department of Chemistry and Chemical Engineering, Chalmers University of Technology, SE-412 96, Göteborg, Sweden;2. Department of Applied Mechanics, Chalmers University of Technology, SE-412 96, Göteborg, Sweden;1. Department of Mechanical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran;2. Department of Chemical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran;1. Department of Chemical Engineering, College of Engineering, Bharati Vidyapeeth Deemed University, Pune 411 043, India;2. Department of Biotechnology and Chemical Technology, School of Chemical Technology, Alto University, P.O. Box 16100, FI-00076 Aalto, Finland;3. Department of Chemical Engineering, City College of New York, CUNY, NY, USA;1. Suzhou Key Laboratory of Green Chemical Engineering, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, Jiangsu Province 215123, China;2. Department of Chemical Engineering, Faculty of Engineering, Monash University, Clayton Campus, Victoria, Australia;1. Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, S7N 5A9, Canada;2. Department of Computer Science, University of Saskatchewan, Saskatoon, SK, S7N 5C9, Canada;1. School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China;2. School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China |
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| Abstract: | We detect strong force networks in a dense high-shear system and study their structure and stability in response to variations in the shearing rate. The presence of strong force networks, which usually have a heterogeneous structure, restricts particle movements and can impose non-local mechanisms of momentum transfer. We identify such networks in a dense high-shear system using a community detection algorithm. Moreover, we explain the association between the mechanisms of momentum transfer and the structure, population, strength, and stability of the force networks by tracking the spatial and temporal evolution of the detected networks. In addition, we show that the assumption of a monodisperse assembly of particles leads to an unrealistic enlargement of the force networks, underestimating both the rate of energy dissipation and the rate of mixing. |
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| Keywords: | Force networks Community detection Polydispersity |
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