Calibration and validation of slurry erosion models for glass fibre composites in marine energy systems

Tools

Habibi, Payvand and Lotfian, Saeid (2025) Calibration and validation of slurry erosion models for glass fibre composites in marine energy systems. Journal of Marine Science and Engineering, 13 (9). 1602. ISSN 2077-1312 (https://doi.org/10.3390/jmse13091602)

[thumbnail of Habibi-Lotfian-JMSE-2025-Calibration-and-validation-of-slurry-erosion-models-for-glass-fibre-composites]
Preview
 Text. Filename: Habibi-Lotfian-JMSE-2025-Calibration-and-validation-of-slurry-erosion-models-for-glass-fibre-composites.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (7MB)| Preview

Abstract

Erosive wear from suspended sediments significantly threatens the structural integrity and efficiency of composite tidal turbine blades. This study develops a novel framework for predicting erosion in FR4 glass fibre-reinforced polymers (GFRPs)—materials increasingly adopted for marine renewable energy components. While erosion models exist for metals, their applicability to heterogeneous composites with unique failure mechanisms remains unvalidated. We calibrated the Oka erosion model specifically for FR4 using a complementary experimental–computational approach. High-velocity slurry jet tests (12.5 m/s) were conducted at a 90° impact angle, and erosion was quantified using both gravimetric mass loss and surface profilometry. It revealed a distinctive W-shaped erosion profile with 3–6 mm of peak material removal from the impingement centre. Concurrently, CFD simulations employing Lagrangian particle tracking were used to extract local impact velocities and angles. These datasets were combined in a constrained nonlinear optimisation scheme (SLSQP) to determine material-specific Oka model coefficients. The calibrated coefficients were further validated on an independent 45° impingement case (same particle size and flow conditions), yielding 0.0143 g/h predicted versus 0.0124 g/h measured (15.5% error). This additional case confirms the accuracy and feasibility of the predictive model under input conditions different from those used for calibration. The calibrated model achieved strong agreement with measured erosion rates (R2 = 0.844), successfully capturing the progressive matrix fragmentation and fibre debonding, the W-shaped erosion morphology, and highlighting key composite-specific damage mechanisms, such as fibre detachment and matrix fragmentation. By enabling the quantitative prediction of erosion severity and location, the calibrated model supports the optimisation of blade profiles, protective coatings, and maintenance intervals, ultimately contributing to the extended durability and performance of tidal turbine systems. This study presents a procedure and the output of calibration for the Oka erosion model, specifically for a composite material, providing a transferable methodology for erosion prediction in GFRPs subjected to abrasive marine flows.

ORCID iDs

Habibi, Payvand and Lotfian, Saeid ORCID logoORCID: https://orcid.org/0000-0001-8542-933X;
CORE (COnnecting REpositories)