The role of artificial neural networks in prediction of mechanical and tribological properties of composites—a comprehensive review
The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …
an inspiring mathematical tool that simulates many complicated engineering applications …
What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research
Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary
scientific domains where machines are provided with an approximation of human …
scientific domains where machines are provided with an approximation of human …
A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures
With recent ground-breaking advances, machine learning (ML) has been applied widely in
numerous fields in this day and age. However, because of the application of …
numerous fields in this day and age. However, because of the application of …
[HTML][HTML] Application of machine learning methods on dynamic strength analysis for additive manufactured polypropylene-based composites
This study aimed at applying machine learning (ML) methods to analyze dynamic strength of
3D-printed polypropylene (PP)-based composites. The dynamic strength of additive …
3D-printed polypropylene (PP)-based composites. The dynamic strength of additive …
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
In this paper, artificial neural network (ANN) models are developed to predict the load-
displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride …
displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride …
Defect‐induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning
Z Zhan, N Ao, Y Hu, C Liu - Engineering Fracture Mechanics, 2022 - Elsevier
Additive manufacturing (AM) has attracted much attention recently for its immanent
advantages. Assessment of the fatigue performance for AM treated materials becomes vital …
advantages. Assessment of the fatigue performance for AM treated materials becomes vital …
Machine learning aided phase field method for fracture mechanics
A machine learning aided non-deterministic damage prediction framework against both 2D
and 3D fracture problems is presented in this paper. By introducing a newly developed …
and 3D fracture problems is presented in this paper. By introducing a newly developed …
Multi-objective shape optimization of bone scaffolds: Enhancement of mechanical properties and permeability
AH Foroughi, MJ Razavi - Acta Biomaterialia, 2022 - Elsevier
Porous scaffolds have recently attracted attention in bone tissue engineering. The implanted
scaffolds are supposed to satisfy the mechanical and biological requirements. In this study …
scaffolds are supposed to satisfy the mechanical and biological requirements. In this study …
Prediction of mechanical properties by artificial neural networks to characterize the plastic behavior of aluminum alloys
D Merayo, A Rodríguez-Prieto, AM Camacho - Materials, 2020 - mdpi.com
In metal forming, the plastic behavior of metallic alloys is directly related to their formability,
and it has been traditionally characterized by simplified models of the flow curves, especially …
and it has been traditionally characterized by simplified models of the flow curves, especially …
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
This work presents an approach for smart manufacturing focusing on Industry 4.0 to predict
the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite …
the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite …