Skip to content
Open access

Bayesian optimization-driven exploration of process–structure–property relationship for polyethylene composite films

Aug 2026 · Journal of Materials Science · Vol 61, pp. 30875 - 30889 · 0 citations · 37 references

Abstract

The mechanical properties of polymers depend on their processing conditions. However, process optimization often suffers from complex parameter space and incomplete understanding of the structure-property relationship. This study fabricates and optimizes polyethylene (PE)-thermally reduced graphene oxide (TrGO) composite films and investigates how drawing temperature and drawing ratio affect their tensile strength (TS) and elongation-at-break (EAB). A multi-objective Bayesian optimization (MOBO) framework was introduced to explore the fabrication parameter space to identify the Pareto front between TS and EAB. Structural analyses reveal that drawing increases the molecular orientation, crystallinity and crystallite size in the films, while a high drawing temperature promotes preferential crystallization along the (200) plane. The combined effects of drawing ratio and drawing temperature collectively contribute to the enhanced TS of the films. This study establishes a clear process–structure–property relationship in PE composite films and demonstrates an efficient strategy for polymer-based composite materials design.

Read PDF

Similar papers

Sep 2026

Manufacturing routes for thermoplastic composite materials: Influence of processing parameters on mechanical properties and environmental sustainability

The recyclable nature of thermoplastic fiber-reinforced composites and their potential for sustainable manufacturing have drawn a lot of interest. However, their high melt viscosity presents challenges in achieving effective fiber impregnation, often limiting mechanical performance. This study presents an optimized fra...

Gurumurthy Ramaiah · 0 citations
Aug 2026

Physics-informed process optimization of compression-molded titanium/carbon fiber metal laminates for enhanced flexural and interlaminar performance

The mechanical performance of titanium fiber–metal laminates is strongly influenced by consolidation parameters that govern resin infiltration, void formation, and interfacial bonding. This study presents a physics-informed framework for the process optimization of compression-molded Ti6Al4V/carbon fiber metal lamina...

Maheshwaran Ramasamy, Logesh Kamaraj, Hariharasakthisudhan Ponnarengan · 0 citations
Review Open access 2026

Effect of processing and microstructure on mechanical properties of complex-phase steels A review

The main objective of this review is to provide a concise and comprehensive overview of the current understanding of the fundamental mechanisms governing the processing and mechanical performance of low-carbon advanced high-strength steels (AHSS) characterized by multiphase microstructures, with particular emphasis on...

P. H. R. Pereira, Thainá Figueiredo Dias, D. Santos · 0 citations
Open access Sep 2026

Multi-Response Optimization of Mechanical Properties and Quantitative Porosity of A356 Aluminum Alloy Subjected to T6 Heat Treatment Using Response Surface Methodology

This study addresses key methodological gaps in prior T6 heat-treatment research on A356 aluminum alloy, namely the ambiguity of treatment-temperature definitions, reliance on perceived (non-quantitative) porosity assessment, incomplete statistical testing across mechanical responses, and the use of single-factor discr...

Joni Arif, Syaiful Arif, Widarto et al. · 0 citations
Open access Aug 2026

Two-Stage Machine Learning for Thermo-Mechanical Properties Optimization of Carbon-Filled Polyimide Composites

Highlights A two-stage ML framework decouples processing and formulation optimization. The two-stage strategy allows concurrent improvement of TS and TC. The CF/SA ratio serves as a composition-derived descriptor for interfacial effects. Feature construction enhances model reliability under small-data constraints. Abst...

Yu Zhang, Wen-Ting Zhao, Lu-Ling He et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.