Investigation on Ontology-Driven Semantic Simulation of PVC Composite Sustainable Manufacturing: Lifecycle Assessment Approach and Industrial Case Study with Reinforced Agro-Industrial Waste Fillers.

Alexander Chinaka Chidara, Kai Cheng, David Gallear

Abstract read

In one paragraph

Article in Polymers, 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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0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Alexander Chinaka ChidaraDepartment of Mechanical and Aerospace Engineering, College of Engineering, Design and Physical Sciences, Brunel University of London, Uxbridge UB8 3PH, UK.ORCID 0009-0005-5328-0135

Kai ChengDepartment of Mechanical and Aerospace Engineering, College of Engineering, Design and Physical Sciences, Brunel University of London, Uxbridge UB8 3PH, UK.

David GallearBrunel Business School, Brunel University of London, Uxbridge UB8 3PH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study develops and assesses sustainable polyvinyl chloride (PVC) composites reinforced with agro-industrial waste fillers, integrating an ontology-based lifecycle assessment (LCA) framework to enhance sustainability evaluation. Agro-waste reinforcements, including rice husk ash (RHA), coir, bamboo fibre, and wood flour, were examined for their capacity to improve the mechanical and environmental performance of PVC and to advance circular economy objectives. Empirical data from UK PVC window manufacturing were integrated with Granta EduPack, Eco Design, Eco Audit, OpenLCA, and Protégé within a multi-layered semantic pipeline that links materials, processes, and environmental indicators. The agro-filler composites exhibited lower embodied energy and CO

Indexed as

agro-industrial waste fillerscircular economyEduPackGrantalifecycle assessment (LCA)ontologyontology-driven simulationPVC compositessemantic web technologiessustainable manufacturing

Identifiers

PMID41829356

DOI10.3390/polym18050658

PMCPMC12986851

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.