Evidence map›Paper›PMID 42225677›Full record

ArticleScientific reports2026

Mechanical and tribological response of red brick dust filled hemp-epoxy composites using response surface methodology and machine learning approach.

Devasri Fuloria, Pravat Ranjan Pati, Sandip Kumar Nayak, Sourav Kumar Mahapatra, Alok Agrawal, Abhilash Purohit, Gaurav Gupta

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Devasri FuloriaSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Pravat Ranjan PatiDepartment of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, 248002, India.
Sandip Kumar NayakDepartment of Mechanical Engineering, Indian Institute of Technology, Delhi, New Delhi, 110016, India.
Sourav Kumar MahapatraMaterials Chemistry and Interfacial Engineering Department, CSIR- Institute of Minerals and Materials Technology, Bhubaneswar, Odisha, 751013, India.
Alok AgrawalDepartment of Mechanical Engineering, Sagar Institute of Research and Technology, Bhopal, Madhya Pradesh, 462041, India.
Abhilash PurohitDepartment of Mechanical Engineering, Galgotias University, Greater Noida, Uttar Pradesh, 203201, India.
Gaurav GuptaSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India. gauravgupta@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study focuses on the wear and mechanical properties of epoxy-based hybrid composites that contain hemp fiber and red brick dust (RBD). The hand lay-up method is used for making composites using hemp fiber (40 wt%) reinforced epoxy with varied RBD loading up to 15 wt%. The prepared samples are assessed by investigating their physical, mechanical and tribological behavior. The results revealed that the density increased from 1.257 to 1.338 g/cm³ with increasing RBD content, while tensile and flexural strengths decreased by approximately 13.3 and 7.4%, respectively, at 15 wt% filler loading. In contrast, impact strength and hardness improved significantly, showing enhancements of 144 and 152%, respectively, compared to neat epoxy. The sliding wear tests are also carried out in accordance with the L

Indexed as

Gradient boosting machineHemp fiber compositesMachine learning predictionRed brick dustResponse surface methodologyTribo-informatics

Identifiers

PMID42225677
PMCPMC13458358

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