{
  "abstract": "Predicting the effective thermal conductivity of particulate composites is challenging due to the interplay between filler concentration, geometric disorder, and property contrast. This study utilizes a parametric stochastic framework and a perturbed lattice algorithm to investigate 2D microstructures with controlled spatial perturbation ( s ) and size polydispersity ( dr ). Steady-state heat conduction is solved via finite element analysis, while ensemble averaging ensures statistical reliability. Results reveal that conductivity enhancement saturates at a volume fraction of ϕ ≈ 0.11 without a percolation threshold. Notably, mean conductivity exhibits a non-monotonic dependence on spatial disorder, peaking at s ≈ 0.4, which also corresponds to maximum statistical variability. At high phase contrast, properties converge to the lower Hashin-Shtrikman bound, confirming that performance is governed by matrix-phase constrictions rather than intrinsic filler conductivity. These findings demonstrate that matrix morphology imposes a fundamental limit on heat transport in isolated dispersions, suggesting that significant enhancement requires engineered percolating networks.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Physics, Odessa State Academy of Civil Engineering and Architecture, Didrikhsona 4, Odessa, 65029, Ukraine"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Alexander Pysarenko"
    },
    {
      "name": "Artem Chystiakov"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8h7vyppjw6xq5.bib",
  "cited_by": 0,
  "doi": "10.1016/j.ijft.2026.101718",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S2666202726001746",
  "id": "8h7vyppjw6xq5",
  "issns": [
    "2666-2027"
  ],
  "landing_url": "https://doi.org/10.1016/j.ijft.2026.101718",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "QC251-338.5"
    ],
    [
      "openalex",
      "2206|Heat and Mass Transfer in Porous Media"
    ]
  ],
  "openalex": "W7223314975",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-30",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/8h7vyppjw6xq5.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:44:58Z",
      "native_id": "d4d848c010b947588c95224e101c1da2",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.ijft.2026.101718"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "lcc:QC251-338.5",
      "subfield": "general"
    }
  ],
  "title": "Numerical investigation of heat transfer in 2D particulate composites: effects of filler concentration and geometric disorder",
  "title_text": "Numerical investigation of heat transfer in 2D particulate composites: effects of filler concentration and geometric disorder",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:44:58Z",
  "url": "https://research.draconitic.com/paper/8h7vyppjw6xq5",
  "venue": "International Journal of Thermofluids",
  "versions": []
}