Inter-particle adhesion induced strong mechanical memory in a dense granular suspension

Author:

Chattopadhyay Sebanti1ORCID,Majumdar Sayantan1ORCID

Affiliation:

1. Raman Research Institute, Bengaluru 560080, India

Abstract

Repeated/cyclic shearing can drive amorphous solids to a steady state encoding a memory of the applied strain amplitude. However, recent experiments find that the effect of such memory formation on the mechanical properties of the bulk material is rather weak. Here, we study the memory effect in a yield stress solid formed by a dense suspension of cornstarch particles in paraffin oil. Under cyclic shear, the system evolves toward a steady state showing training-induced strain stiffening and plasticity. A readout reveals that the system encodes a strong memory of the training amplitude ( γ T) as indicated by a large change in the differential shear modulus. We observe that memory can be encoded for a wide range of γ T values both above and below the yielding albeit the strength of the memory decreases with increasing γ T. In situ boundary imaging shows strain localization close to the shearing boundaries, while the bulk of the sample moves like a solid plug. In the steady state, the average particle velocity [Formula: see text] inside the solid-like region slows down with respect to the moving plate as γ approaches γ T; however, as the readout strain crosses γ T, [Formula: see text] suddenly increases. We demonstrate that inter-particle adhesive interaction is crucial for such a strong memory effect. Interestingly, our system can also remember more than one input only if the training strain with smaller amplitude is applied last.

Funder

Science and Engineering Research Board

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Role of plasticity in the universal scaling of shear-thickening dense suspensions;Rheologica Acta;2024-04

2. Soft matter roadmap*;Journal of Physics: Materials;2023-12-12

3. Memory formation;The Journal of Chemical Physics;2023-06-05

4. Dissipation Indicates Memory Formation in Driven Disordered Systems;Physical Review Letters;2023-01-27

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