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result(s) for
"Arunachalam, Solairaju Jothi"
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Artificial Intelligence‐Driven Prediction and Optimization of Tensile and Impact Strength in Natural Fiber/Aluminum Oxide Polymer Nanocomposites
by
Arunachalam, Solairaju Jothi
,
Azizi, Muzhda
,
Saravanan, Rathinasamy
in
artificial neural networks
,
mechanical characterization and fiber orientation
,
nano‐particle
2025
This study investigates the mechanical properties of hybrid composites reinforced with jute, kenaf, and glass fibers, incorporating Aluminum Oxide (Al2O3) as a nanoparticle filler. The effects of three key parameters—fiber orientation, fiber sequence, and weight percentage of Al2O3 on—the tensile and impact strength of the composites were examined. Three levels for each factor were considered: fiber orientation (0°, 45°, and 90°), fiber sequence (1, 2, and 3 layers), and varying Al2O3 content (3%, 4%, and 5%). The response surface methodology (RSM) was employed to optimize the parameters, providing insights into the interactions between these factors and their influence on the composite's mechanical performance. Additionally, artificial neural networks (ANN) were used for prediction modeling. The outcome presented that the ANN model outpaced RSM in terms of accuracy, with a higher correlation between predicted and experimental values. The optimal parameters for achieving the highest tensile and impact strength were determined, with fiber orientation at 90°, fiber sequence at 3, and Al2O3 content at 5%. This study demonstrates the effectiveness of ANN in predicting the mechanical properties of the laminated composite and highlights the significant role of fiber orientation, sequence, and nanoparticle reinforcement in enhancing composite performance. This study examines hybrid composites reinforced with jute, kenaf, and glass fibers, with Aluminum Oxide (Al2O3) as a filler. The effects of fiber orientation, sequence, and Al2O3 content on tensile and impact strength were analyzed. ANN outperformed RSM in predictive accuracy, identifying optimal parameters: 90° fiber orientation, three layers, and 5% Al2O3. Results highlight ANN's potential and the role of fiber and nanoparticle integration in enhancing composite properties.
Journal Article
Characterization of Mechanical, Morphological, and Dynamic Mechanical Properties of Jute/Kenaf/Glass Fiber/Epoxy Modified With Various Nanofiller Hybridized Nanocomposites
by
Arunachalam, Solairaju Jothi
,
Azizi, Muzhda
,
Saravanan, Rathinasamy
in
Carbon
,
Composite materials
,
Dynamic characteristics
2025
The study investigates the physical properties, strength, and flexibility of the jute/kenaf/glass reinforced composite. The composite is infused with equal quantities of silicon dioxide (SiO2), nanographene, and multi‐walled carbon nanotubes (MWCNTs) at a concentration of 5 wt%, as specified by ASTM standards. The composite was created using a manual lay‐up approach followed by compression molding, using a unique 10‐layer fiber structure. The S4 (5%) composite specimen increased its tensile strength (TS) from 91 to 101 MPa, tensile modulus (TM) from 7.286 GPa to 10.286 GPa, interlaminar shear strength (ILSS) from 9.39 to 19.71 MPa, and glass‐transition temperature (Tg) from 70°C to 85°C. The results show that the 5 wt% MWCNTs have significantly higher TS, TM, ILSS, and Tg than the unfilled composite and SiO2, nanographene, with increases of 5%, 2%, and 10%, respectively. Incorporating MWCNT nanofillers into composites significantly enhances their mechanical and dynamic characteristics when compared to composites without fillers. The study's findings show that adding MWCNTs to the matrix significantly improves performance when compared to the composite without any fillers. Scanning electron microscopy images reveal the underlying reasons of failure in composites, such as layer separation, material fissures, fiber extraction, and fiber breakage. The incorporation of 5 wt% MWCNTs into the jute/kenaf/glass hybrid composite matrix significantly enhances mechanical and dynamic properties compared to composites without fillers. This study highlights the enhanced mechanical and thermal properties of jute/kenaf/glass hybrid fiber composites with 5 wt% MWCNTs, SiO2, and nanographene nanofillers. Significant improvements in TS, TM, ILSS, and Tg demonstrate their potential for high‐performance structural applications. SEM analysis reveals key failure mechanisms, guiding future composite design.
Journal Article
Development and Validation of ANN Models for Water Absorption in Sawdust and Kenaf Fiber‐Reinforced Polystyrene Composites
by
Gurumoorthy, Vinuja
,
Arul Gnana Dhas, Anderson
,
Thanikodi, Sathish
in
artificial neural network
,
epoxy
,
fiber
2025
This research paper involved modeling the water absorption behavior of polystyrene (PS) composites with sawdust and kenaf fiber (KF) reinforcement using the Artificial Neural Network (ANN) method. The composites were made by manual mixing combined with the hand lay‐up process at room temperature (25°C ± 2°C) and cured in an open mold over 7 days at ambient temperature. The water absorption measurements were done according to the ASTM D1037‐99. The findings were that the water uptake was enhanced by filler content as well as immersion duration in the sawdust composite and KF. The ANN model also had good accuracy; the coefficients of determination (R2) in all the ANN models were more than 0.98 in all the training, validating, and test sets of both types of materials. Also, values of root mean square error (RMSE) were low (less than 1 wt%), indicating that this model was very accurate in forecasting the behavior of water absorption. Parity plots indicated that there was a good balance of the performance of the predictions, which captured the low and high values of absorption. Moreover, the p value was lower than 0.05, which showed ANOVA results are statistically significant. Artificial Neural Network (ANN) models predict water absorption behavior in polystyrene composites reinforced with sawdust and kenaf fibers. Experimental validation confirms high model accuracy, highlighting the influence of filler content and immersion duration on moisture uptake.
Journal Article
Advanced Poly‐Fiber Hybrid‐Nanocomposites: Fabrication and Strengthening With Silicon Carbide Integration
by
Arunachalam, Solairaju Jothi
,
Elsharkawy, Eman Ramadan
,
Santhosh, A. Johnson
in
fracture toughness
,
hybrid composite
,
nanoparticle
2025
This study examines the mechanical and thermal properties of materials made from jute, glass, and kenaf fibers reinforced with various weight percentages of silicon carbide (SiC). The composites were manufactured with different SiC loadings, and their tensile strength, flexural strength, fracture toughness, moisture absorption, and thermal stability were evaluated. Tensile and flexural examinations were conducted to assess the structural integrity of the laminate under stress, revealing that the incorporation of 3% SiC led to a 27% improvement in tensile strength and an 18% increase in flexural strength, indicating enhanced load‐bearing capacity and flexibility. Microhardness and fracture toughness were also measured to determine resistance to crack propagation; results showed a 28% rise in microhardness and a 33% enhancement in fracture toughness with 3% SiC, signifying improved durability for structural applications. A moisture absorption study was carried out to evaluate the hydrophobic properties of the composites, which are crucial for long‐term performance in humid environments. The analysis demonstrated a significant reduction in water uptake with 3 wt% SiC, improving the composite's performance by minimizing water‐induced degradation. Thermogravimetric analysis (TGA) was employed to assess thermal stability and decomposition behavior, with findings indicating improved thermal stability with increasing SiC percentage. Overall, the integration of 3% SiC significantly enhanced mechanical strength, crack resistance, and moisture resistance, making the composite more suitable for demanding structural and environmental conditions. This study investigates jute, glass, and kenaf fiber composites reinforced with SiC. Results show that 3% SiC enhances tensile strength, flexural strength, and fracture toughness while reducing moisture absorption. Thermogravimetric analysis confirms improved thermal stability, making these composites suitable for moisture‐prone and high‐temperature applications.
Journal Article
Developing a model to predict and optimize the flexural and impact properties of jute/kenaf fiber nano-composite using response surface methodology
by
Thanikodi, Sathish
,
Rathinasamy, Saravanan
,
Solairaju, Jothi Arunachalam
in
Advanced manufacturing technologies
,
CAE) and Design
,
Composite materials
2025
The primary objective of this study is to determine how the presence of nano-particles such as titanium dioxide and silicon dioxide (TiO
2
and SiO
2
), as well as fiber alignment, affects the flexural and impact strength of the jute/kenaf nano-composite. The study investigates the independent variables of nano-particle weight percentages (TiO
2
and SiO
2
) and fiber angle orientation to understand their combined impact on the flexural and impact strength of hybrid composites. Twenty experiment runs were performed using a response surface methodology (RSM) with a central composite design (CCD), a center point with six replicates, and altering the specified parameters. Statistical analysis of the outcomes highlights the significant influence of the chosen variables on both flexural strength and impact resistance properties. Flexural strength varied from 98 to 137 MPa throughout design levels, and impact strength varied from 282 to 328 kJ/m
2
throughout design levels. The maximum flexural strength, 137 MPa, was attained at 2.5 wt% TiO
2
, 2.5 wt% SiO
2
, and an 80° fiber angle orientation, while the foremost impact strength attained, 328 kJ/m
2
, was obtained at 1 wt% TiO
2
, 2.5 wt% SiO
2
, and an 80° fiber angle orientation. This study found that the composite material tested is acceptable for replacing automobile interiors, particularly car dashboards, meeting current automotive industry specifications.
Journal Article