Machine learning approach for mechanical property assessment of industrial waste-filled epoxy–jute composites
Abhilash Purohit; S. Sathees Kumar; Pravat Ranjan Pati; Arvind Kumar; Suresh Palanimuthu; Byomakesh Mahapatra · 2026 · Scientific Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract The growing demand for sustainable materials has stimulated the development of bio-based composites, yet the combination of natural fibers and industrial waste fillers in polymer matrices has not been exploited synergistically. In line with Sustainable Development Goal 12 (SDG-12), the paper focuses on reusing the steel industry by-product Linz–Donawitz (LD) sludge to enhance the mechanical properties of epoxy composites when used with the jute fiber. Six composite specimens with constant jute fiber loading (20 wt%) and a range of LD sludge content (0–25 wt%) were prepared using hand
Abstract by Abhilash Purohit; S. Sathees Kumar; Pravat Ranjan Pati; Arvind Kumar; Suresh Palanimuthu; Byomakesh Mahapatra, Scientific Reports (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41598-026-53330-9