Reducing segregation in vibrated binary-sized granular mixtures by excessive small particle introduction

[2405.07290] Reducing segregation in vibrated binary-sized granular mixtures by excessive small particle introduction Skip to main content Search Submit Donate Log in Condensed Matter > Soft Condensed Matter arXiv:2405.07290 (cond-mat) [Submitted on 12 May 2024 ( v1 ), last revised 25 Oct 2024 (this version, v2)] Title: Reducing segregation in vibrated binary-sized granular mixtures by excessive small particle introduction Authors: Fumiaki Nakai , Kiwamu Yoshii View PDF HTML (experimental) Abstract: We numerically examine binary-sized granular mixtures confined between two parallel walls subjected to vertical vibration using the discrete element method. For a size ratio of $3$ between large and small particles, we study the structure of large particles in moderately dense regimes where the combined two-dimensional packing fractions of both particle sizes exceed $1$. When the fraction of small particles is small, segregation of the large particles occurs. In contrast, as the fraction of small particles increases, an effective repulsion between the large particles emerges over distances greater than the large particle diameter, suppressing their segregation. The emergence of reduction in segregation is confirmed for another size ratio, vibrational acceleration, system size, and for a case of bidisperse size distribution. Additionally, at the size ratio of $3$, the effective repulsion induces a hexagonal phase of the large particles at packing fractions lower than in mono-component systems. This work will provide a fresh insight into granular physics, prompting further experimental and theoretical study. Comments: 28 pages, 20 figures Subjects: Soft Condensed Matter (cond-mat.soft) ; Statistical Mechanics (cond-mat.stat-mech) Cite as: arXiv:2405.07290 [cond-mat.soft] (or arXiv:2405.07290v2 [cond-mat.soft] for this version) https://doi.org/10.48550/arXiv.2405.07290 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Granular Matter 27, 7 (2025) Related DOI : https://doi.org/10.1007/s10035-024-01476-6 Focus to learn more DOI(s) linking to related resources Submission history From: Fumiaki Nakai [ view email ] [v1] Sun, 12 May 2024 14:05:21 UTC (18,136 KB) [v2] Fri, 25 Oct 2024 04:32:05 UTC (37,932 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: cond-mat.soft < prev | next > new | recent | 2024-05 Change to browse by: cond-mat cond-mat.stat-mech References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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