Development and optimization of pearl millet waste biocomposite ceiling tiles: a waste management approach.

Khalid Hussain Ansari, Srikanta Routroy, Rahul Samyal, Shivasheesh Kaushik

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Article in Scientific reports, 2025. 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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4 authors.

Khalid Hussain AnsariDepartment of Mechanical Engineering, Birla Institute of Technology & Science, Pilani, Rajasthan, 333031, India.

Srikanta RoutroyDepartment of Mechanical Engineering, Birla Institute of Technology & Science, Pilani, Rajasthan, 333031, India. srikanta@pilani.bits-pilani.ac.in.

Rahul SamyalDepartment of Mechanical Engineering, Birla Institute of Technology & Science, Pilani, Rajasthan, 333031, India.

Shivasheesh KaushikDepartment of Mechanical Engineering, Birla Institute of Technology & Science, Pilani, Rajasthan, 333031, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aims to develop and optimize sustainable biocomposite ceiling tiles by partially replacing gypsum with pearl millet waste, combined with Waste Wheat Flour (WWF) and waste paper. It aims to provide a sustainable alternative to conventional gypsum-based product, maintaining thermal insulation and flexural strength. Taguchi method was employed for experimental design, by varying key parameters such as gypsum, Pearl Millet Seed Covering (PMSC), and ceiling tile thickness. The signal-to-noise (S/N) ratio was used to identify the optimal composition and Analysis of Variance (ANOVA) with regression analysis determines the significance of each factor on thermal conductivity and flexural strength. The optimized composition for minimum thermal conductivity (0.065 W/m·K) was identified as 45% PMSC and 10% gypsum at 12 mm thickness. For maximum flexural strength (1.24 MPa), the optimal mix was 55% PMSC and 30% gypsum at 14 mm thickness. The finding underscore the critical influence of gypsum and tile thickness in enhancing material performance. The developed regression models exhibited predictive R

Indexed as

Agricultural waste managementBiocompositePearl milletSustainable thermal insulationTaguchi optimization method

Identifiers

PMID40594706

DOI10.1038/s41598-025-08351-1

PMCPMC12215539

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LicenceCC BY

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