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Steel

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Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approach.

International archives of occupational and environmental health
PURPOSE: Prediction of hearing loss in noisy workplaces is considered to be an important aspect of hearing conservation program. Artificial intelligence, as a new approach, can be used to predict the complex phenomenon such as hearing loss. Using art...

Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning.

PloS one
High performance materials, from natural bone over ancient damascene steel to modern superalloys, typically possess a complex structure at the microscale. Their properties exceed those of the individual components and their knowledge-based improvemen...

Energy Density and Hysteresis Comparison in Natural Rubber Tube Springs for Wearable Exoskeleton Applications.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Wearable exoskeletons show promise as a means for compensating lost function as well as for providing optimal assistance for maximal therapeutic benefit during everyday tasks. Development of lightweight spring systems for efficient storage and return...

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns.

Molecules (Basel, Switzerland)
In this study, a novel hybrid surrogate machine learning model based on a feedforward neural network (FNN) and one step secant algorithm (OSS) was developed to predict the load-bearing capacity of concrete-filled steel tube columns (CFST), whereas th...

A New Steel Defect Detection Algorithm Based on Deep Learning.

Computational intelligence and neuroscience
In recent years, more and more scholars devoted themselves to the research of the target detection algorithm due to the continuous development of deep learning. Among them, the detection and recognition of small and complex targets are still a proble...

Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder-Decoder Network.

Sensors (Basel, Switzerland)
Fatigue cracks are critical types of damage in steel structures due to repeated loads and distortion effects. Fatigue crack growth may lead to further structural failure and even induce collapse. Efficient and timely fatigue crack detection and segme...

Development and comprehensive evaluation of a new spring-steel-driven glove for grasping assistance during activities of daily living.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Millions of people suffer from a decline in grip strength and hand function due to conditions such as chronic disease, injuries, and aging. Hand function decline results in difficulties with performing activities of daily living, where grasping, lift...

Digital Twins-Based Impact Response Prediction of Prestressed Steel Structure.

Sensors (Basel, Switzerland)
Civil infrastructure O&M requires intelligent monitoring techniques and control methods to ensure safety. Unfortunately, tedious modeling efforts and the rigorous computing requirements of large-scale civil infrastructure have hindered the developmen...

Machine-learning-based quality-level-estimation system for inspecting steel microstructures.

Microscopy (Oxford, England)
Quality control of special steel is accomplished through visual inspection of its microstructure based on microscopic images. This study proposes an 'automatic-quality-level-estimation system' based on machine learning. Visual inspection of this type...

Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms.

IEEE/ACM transactions on computational biology and bioinformatics
The current study explores an artificial intelligence framework for measuring the structural features from microscopy images of the bacterial biofilms. Desulfovibrio alaskensis G20 (DA-G20) grown on mild steel surfaces is used as a model for sulfate ...