Optimization of nano-filler and silane treatment on mechanical performance of nanographene hybrid composites using RSM and ANN technique

Journal of Adhesion Science and Technology, Год журнала: 2024, Номер unknown, С. 1 - 24

Опубликована: Сен. 16, 2024

Язык: Английский

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Artificial Intelligence‐Driven Prediction and Optimization of Tensile and Impact Strength in Natural Fiber/Aluminum Oxide Polymer Nanocomposites

Engineering Reports, Год журнала: 2025, Номер 7(4)

Опубликована: Апрель 1, 2025

ABSTRACT This study investigates the mechanical properties of hybrid composites reinforced with jute, kenaf, and glass fibers, incorporating Aluminum Oxide (Al 2 O 3 ) as a nanoparticle filler. The effects three key parameters—fiber orientation, fiber sequence, weight percentage Al on—the tensile impact strength were examined. Three levels for each factor considered: orientation (0°, 45°, 90°), sequence (1, 2, layers), varying content (3%, 4%, 5%). response surface methodology (RSM) was employed to optimize parameters, providing insights into interactions between these factors their influence on composite's performance. Additionally, artificial neural networks (ANN) used prediction modeling. outcome presented that ANN model outpaced RSM in terms accuracy, higher correlation predicted experimental values. optimal parameters achieving highest determined, at 90°, 3, 5%. demonstrates effectiveness predicting laminated composite highlights significant role reinforcement enhancing

Язык: Английский

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Enhancing mechanical performance of MWCNT filler with jute/kenaf/glass composite: a statistical optimization study using RSM and ANN

Materials Technology, Год журнала: 2024, Номер 39(1)

Опубликована: Июль 26, 2024

Fibre sequencing greatly affects bending and hardness of fibre-reinforced composites. Fiber-matrix bonding, orientation, boost composite strength, especially when nanoparticles are added to improve mechanical properties. Lining fibres with loading direction optimises conditions. sequencing, MWCNT addition affected the composite's flexural strength in this study. nanoparticle incorporation were examined. The study examined how fibre properties affect quality using Response Surface Methodology (RSM) Analysis Variance (ANOVA). An Artificial Neural Network (ANN) several factors. Model-expected response values strongly correlated. orientation is main factor affecting strength. All factors hardness, but was most critical. Nanofillers stimulated matrix aggregation, increasing artificial neural network predicted 95% accurately. Experimental data, regression model, ANN less accurate than Network.

Язык: Английский

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Mechanical Assessment for Enhancing Hybrid Composite Performance through Silane Treatment Using RSM and ANN

Results in Engineering, Год журнала: 2024, Номер 24, С. 103309 - 103309

Опубликована: Ноя. 5, 2024

Язык: Английский

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Experimental and thermomechanical SPH and FEA model simulation using inconel 825 with tungsten carbide tool

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 24, 2025

This study introduces an integrated experimental and finite element analysis (FEA) simulation methodology for improving the turning process of Inconel 825 using tungsten carbide (WC) cutting tools. The research presents innovative framework that integrates infrared thermal imaging with numerical simulations to examine transient temperature profiles forces across different machining settings. systematically examines effects feed rate, speed, depth cut on mechanical responses, employing L9 orthogonal array design, in contrast usual investigations. research's primary innovation is exact monitoring interface temperatures camera, yielding precise data despite difficulties posed by expensive materials real-time heat dissipation assessment. FEA performed Abaqus utilize elastoplastic material model exhibiting nonlinear behavior, effectively capturing both tension compression. results demonstrate a robust connection between findings, force predictions differing less than 5%. indicates raising speed lowers while influencing patterns non-linear manner. underscores significance WC inserts augmenting promoting stability. proven provides dependable prediction instrument optimizing settings, hence enhancing control precision manufacture high-strength alloys.

Язык: Английский

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Enhancing Mechanical and Thermal Properties of Isophthalic Polyester Resin Composites Reinforced with Graphene Oxide and Nanosilica using RSM and ANN

Polymer Testing, Год журнала: 2025, Номер unknown, С. 108876 - 108876

Опубликована: Июнь 1, 2025

Язык: Английский

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