Experimental and predictive analysis of solid particle erosion wear in interlaced E-glass/carbon hybrid polymer composites
Year: 2026
Type: article
Abstract: This study presents an experimental and predictive investigation of solid-particle erosion wear in interlaced E-glass/Carbon hybrid polymer composites. Hybrid polymer composites were fabricated through vacuum-assisted resin transfer moulding followed by autoclave curing, and their solid particle erosion behaviour was systematically evaluated under different operating conditions using a Taguchi L16 orthogonal array. Key process parameters, including impact velocity, impingement angle, and laminate layer configuration, were systematically varied during the erosion experiments. Analysis of variance showed that impact velocity was the primary factor influencing erosion wear, primarily due to increased kinetic energy and intensified micro-cutting mechanisms, followed by impingement angle and laminate layer configuration. SEM microstructural examination revealed severe matrix degradation, exposed reinforcement fibers, interfacial debonding, and irregular debris formation under aggressive erosive environments. To establish an accurate predictive framework, metaheuristic optimization techniques were used to tune the machine learning model parameters. Among the proposed predictive models, the Jaya-optimized Gradient Boosting framework demonstrated superior agreement with the experimental results, achieving a test R 2 of 0.9750 and a minimum MSE of 8.27 × 10 −10 . The excellent agreement between experimental measurements and predicted results validates the effectiveness of the proposed framework for accurate erosion wear prediction of hybrid polymer composites.
Source: Journal of Composite Materials
Language: English
Subfield: Ecological Modeling
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,150
Award: G501737302
OpenAlex ID: W7204458805