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<p>The growing demand for precision and sustainable machining of fibre-reinforced composites has placed Abrasive water jet drilling (AWJD) as a promising non-thermal technique. However, achieving dimensional precision and surface integrity in hybrid laminates is still a challenge in view of their fibre–matrix heterogeneity and non-uniform erosion behaviour. In this study, AWJD performance of glass–sisal (G–S) and glass–sisal–jute (G–S–J) laminates was assessed by systematically varying water jet pressure (P), traverse speed (TS), and abrasive flow rate (AFR). The resulting hole geometry was quantified from circularity, cylindricity, perpendicularity, and hole diameter. In order to identify the optimal parameter combination utilised in this study, the multi-criteria decision-making technique, TOPSIS, was employed and then validated using machine learning techniques. The G-S laminate’s optimal parameter levels were P = 325&#xa0;MPa, TS = 125&#xa0;mm/min, and AFR = 350&#xa0;g/min. However, P = 325&#xa0;MPa, TS = 100&#xa0;mm/min, and AFR = 250&#xa0;g/min were the optimal parameter levels for the G-S-J laminate. The composite performance index was cross-validated through different Machine learning regression model and showed that interpolations were stable in the range of parameters investigated. Analysis of SEM indicated that less fibre pull-out, less matrix fragmentation, and homogenised kerf morphology are associated with enhanced circularity and cylindricity, which, in turn, control erosion uniformity and geometric stability. The combined optimisation and validation model assists in the systematic selection of AWJD parameters for hybrid laminates within the feasible processing window.</p> Graphical Abstract <p>Schematic representation of abrasive water jet drilling (AWJD) of hybrid composites.</p>

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Integrated TOPSIS and machine learning-based predictive modelling for optimising abrasive water jet drilling of glass–sisal and glass–sisal–jute hybrid polymer laminates

  • 期刊论文

  • 发表日期：

    2026年4月13日

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  • Mugilvalavan Mohan,
  • Rajkumar Kaliyamoorthy

摘要

The growing demand for precision and sustainable machining of fibre-reinforced composites has placed Abrasive water jet drilling (AWJD) as a promising non-thermal technique. However, achieving dimensional precision and surface integrity in hybrid laminates is still a challenge in view of their fibre–matrix heterogeneity and non-uniform erosion behaviour. In this study, AWJD performance of glass–sisal (G–S) and glass–sisal–jute (G–S–J) laminates was assessed by systematically varying water jet pressure (P), traverse speed (TS), and abrasive flow rate (AFR). The resulting hole geometry was quantified from circularity, cylindricity, perpendicularity, and hole diameter. In order to identify the optimal parameter combination utilised in this study, the multi-criteria decision-making technique, TOPSIS, was employed and then validated using machine learning techniques. The G-S laminate’s optimal parameter levels were P = 325 MPa, TS = 125 mm/min, and AFR = 350 g/min. However, P = 325 MPa, TS = 100 mm/min, and AFR = 250 g/min were the optimal parameter levels for the G-S-J laminate. The composite performance index was cross-validated through different Machine learning regression model and showed that interpolations were stable in the range of parameters investigated. Analysis of SEM indicated that less fibre pull-out, less matrix fragmentation, and homogenised kerf morphology are associated with enhanced circularity and cylindricity, which, in turn, control erosion uniformity and geometric stability. The combined optimisation and validation model assists in the systematic selection of AWJD parameters for hybrid laminates within the feasible processing window.

Graphical Abstract

Schematic representation of abrasive water jet drilling (AWJD) of hybrid composites.