Rheological modeling of multi-phase shear thickening fluid using an intelligent methodology
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(2020) 42:605
TECHNICAL PAPER
Rheological modeling of multi‑phase shear thickening fluid using an intelligent methodology Selim Gürgen1 · Mehmet Alper Sofuoğlu2 · Melih Cemal Kuşhan2 Received: 10 February 2020 / Accepted: 10 October 2020 © The Brazilian Society of Mechanical Sciences and Engineering 2020
Abstract Shear thickening fluid (STF) has been extensively utilized in various engineering applications due to its unique characteristic, which is increasing viscosity under loading. Although single-phase STF is known for a long time, STF has been introduced to a novel concept, namely multi-phase STF, which includes particle additives in the suspension. In the STF adaptation to different systems, STF rheology is the key factor that should be tuned precisely for efficient usage. For this reason, STF rheology has been investigated by many researchers; however, experimental measurements are highly tedious and time-consuming. At this stage, theoretical modeling emerges as a wise choice; however, these models lead to a heavy computational burden due to the complex STF rheology. Therefore, we benefited from an intelligent modeling methodology that is highly effective for modeling and optimizing the complex and nonlinear relationships as such in multi-phase STF rheology. In this study, the rheology of multi-phase STF is investigated for the first time using an intelligent model to the best of our knowledge. According to the results, intelligent modeling is very efficient due to its parameter-free algorithm and successful fitting capability. Keywords Shear thickening fluid · Silicon carbide · Rheology · Intelligent modeling
1 Introduction Shear thickening fluid (STF) is a suspension having increasing viscosity under applied loading. This smart fluid consists of nano-sized colloidal particles responsible for the viscosity jump, in a liquid medium [1, 2]. Shear thickening behavior is explained by hydro-clustering theory, which suggests that hydrodynamic forces acting on the colloidal particles increase under elevated shear rates. Therefore, the particles form small groups, namely hydro-clusters in the suspension. At further shear rates, the colloidal particles come closer and physical contacts are observed as well as extending the hydro-clusters in the flow medium. The jump in the viscosity stems from the elongated particle clusters, which behave as obstacles and thereby stopping the fluid from flowing [3]. A Technical Editor:Edson José Soares. * Mehmet Alper Sofuoğlu [email protected] 1
Eskişehir Vocational School, ESOGU, 26110 Eskişehir, Turkey
Department of Mechanical Engineering, ESOGU, 26480 Eskişehir, Turkey
2
recent approach, namely contact rheology model, supports the hydro-clustering theory in such a way that hydrodynamic interaction is responsible for the shear thickening onset at lower shear rates; however, at higher shear rates, the contribution of particle contacts within the hydro-clusters is much higher than the hydrodynamic interaction to the shear thickening mechanism [4, 5]. STF rheology
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