Optimized machine learning prediction and RSM optimization of mechanical properties in boiled eggshell filler-added biocomposites
G Periyappillai, S Sathiyamurthy, S Saravanakumar - Fibers and Polymers, 2024 - Springer
This study aims to evaluate the impact of fiber loading (20%, 30%, and 40%), eggshell filler
content (5%, 10%, and 15%), and NaOH treatment (0%, 5%, and 10%) on the mechanical …
content (5%, 10%, and 15%), and NaOH treatment (0%, 5%, and 10%) on the mechanical …
Effect of drilling process parameters on agro-waste-based polymer composites reinforced with banana fiber and coconut shell filler
G Kannan, R Thangaraju, S Suttiruengwong… - Biomass Conversion …, 2024 - Springer
The present study effectively employed agro-wastes in the fabrication of novel hybrid
polymer composites, incorporating banana fibers (BA) and coconut shell (CS) fillers. The …
polymer composites, incorporating banana fibers (BA) and coconut shell (CS) fillers. The …
Advanced ensemble machine learning prediction to enhance the accuracy of abrasive waterjet machining for biocomposites
G Periyappillai, S Subbarayan… - Materials Chemistry and …, 2025 - Elsevier
Abstract The optimization of Abrasive Waterjet Machining (AWJM) for natural fiber
composites remains challenging due to the heterogeneous nature of these materials, which …
composites remains challenging due to the heterogeneous nature of these materials, which …
Ensemble learning model for Protein-Protein interaction prediction with multiple Machine learning techniques
L Zhenghui, L Mengshan, C Qianyong, G Yunlong… - Measurement, 2025 - Elsevier
Abstract Protein-Protein Interactions (PPIs) encompass the physical interactions or chemical
combinations between proteins, which cells employ to carry out diverse biological functions …
combinations between proteins, which cells employ to carry out diverse biological functions …
Delamination and thrust force analysis in GLARE: Influence of tool geometry and prediction with machine learning models
The multi-layered (fiber/metal) structure of glass fibre aluminium reinforced epoxy (GLARE)
makes it difficult to obtain acceptable damage-free holes that meet aerospace standards …
makes it difficult to obtain acceptable damage-free holes that meet aerospace standards …
Predictive analysis of tensile strength ratios in laminated bamboo composites: Unraveling the stochastic impact of ply angle variations through machine learning …
Laminated bamboo composites (LBC), made by sandwiching bamboo strips, offer promising
alternatives to traditional construction materials, especially for housing. However, subjection …
alternatives to traditional construction materials, especially for housing. However, subjection …
Supervised Machine learning models for predicting mechanical properties of dissimilar friction stir welded AA7075-AA5083 aluminum alloys
M Mothilal, A Kumar - Measurement, 2025 - Elsevier
The study investigates the supervised machine learning regression-based method to find
the ultimate tensile strength of friction stir welded dissimilar AA7075 (Al-Zn) and AA5083 (Al …
the ultimate tensile strength of friction stir welded dissimilar AA7075 (Al-Zn) and AA5083 (Al …
Optimizing Cold Metal Transfer-Wire Arc Additive Manufacturing Parameters for Enhanced Mechanical Properties and Microstructure of ER5356 Aluminum Alloy …
N Manikandan, M Arumugam - Journal of Materials Engineering and …, 2024 - Springer
With significant benefits in resource consumption and production efficiency, wire arc additive
manufacturing (WAAM) has become a critical method in manufacturing metal components …
manufacturing (WAAM) has become a critical method in manufacturing metal components …
Ensemble machine learning for predicting and enhancing tribological performance of Al5083 alloy with HEA reinforcement
S Kumaravel, P Suresh - Proceedings of the Institution of …, 2025 - journals.sagepub.com
This study investigates the tribological behavior of Al5083 alloy reinforced with
AlCoCrFeNiSi high-entropy alloy (HEA) particles using friction stir processing (FSP). Wear …
AlCoCrFeNiSi high-entropy alloy (HEA) particles using friction stir processing (FSP). Wear …
[HTML][HTML] Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm
V Viswanathan, S Subbarayan… - Mechanics of …, 2025 - journals.semnan.ac.ir
The present study investigates the mechanical behaviors of hybrid fiber-reinforced polyester
composites in developing a new strengthened material. The experiments were planned as …
composites in developing a new strengthened material. The experiments were planned as …