Issue |
EPL
Volume 121, Number 5, March 2018
|
|
---|---|---|
Article Number | 50001 | |
Number of page(s) | 5 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/121/50001 | |
Published online | 26 April 2018 |
Modeling mechanical properties of a shear thickening fluid damper based on phase transition theory
1 Department of Construction and Engineering Management, Shenyang Jianzhu University - Shenyang, 110168, China
2 Shenzhen Graduate School, Harbin Institute of Technology - Shenzhen, 518055, China
3 Road Maintenance Technology Research & Development Centre, Liaoning Provincial Transportion Planning Design Institute Co., Ltd. - Liaoning, China
(a) linkun.hit@gmail.com (corresponding author)
Received: 10 February 2018
Accepted: 4 April 2018
Shear thickening fluids (STFs) are highly concentrated colloidal suspensions consisting of monodisperse nano-particles suspended in a carrying fluid, and have the capacity to display both flowable and rigid behaviors, when subjected to sudden stimuli. In that process, the external energy that acts on an STF can be dissipated quickly. The aim of this study is to present a dynamic model of a damper filled with STF that can be directly used in control engineering fields. To this end, shear stress during phase transition of the STF material is chosen as an internal variable. A non-convex function with bifurcation behavior is used to describe the phase transitioning of STF by determining the relationship between the behavioral characteristics of the microscopic phase and macroscopic damping force. This model is able to predict force-velocity and force-displacement relationships as functions of the loading frequency. Efficacy of the model is demonstrated via comparison with experimental results from previous studies. In addition, the results confirm the hypothesis regarding the occurrence of STF phase transitioning when subject to shear stress.
PACS: 07.10.Fq – Vibration isolation / 83.60.Rs – Shear rate-dependent structure (shear thinning and shear thickening)
© EPLA, 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.