AIMC Topic: Welding

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Surrogate Model Development for Digital Experiments in Welding.

Journal of visualized experiments : JoVE Mar 28, 2025
The manufacturing industry heavily relies on welding processes to join materials, forming integral components across various sectors. Many aspects will influence the quality of the weld and finally affect the structure integrity of the weldment. Weld...
Neural Networks, Computer Finite Element Analysis Computer Simulation Models, Theoretical Welding
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Dynamic Bonding for In-Situ Welding of Multilayer Elastomers Enables High-Performance Wearable Electronics for Machine Learning-Assisted Active Rehabilitation.

Advanced materials (Deerfield Beach, Fla.) Mar 12, 2025
Patients with hand dysfunction require joint rehabilitation for functional restoration, and wearable electronics can provide physical signals to assess and guide the process. However, most wearable electronics are susceptible to failure under large d...
Machine Learning Wearable Electronic Devices Neural Networks, Computer Rehabilitation Welding Hydrogen Bonding Elastomers Humans
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Construction of a CNN-SK weld penetration recognition model based on the Mel spectrum of a CMT arc sound signal.

PloS one Nov 25, 2024
Arc sound signals are considered appropriate for detecting penetration states in cold metal transfer (CMT) welding because of their noninvasive nature and immunity to interference from splatter and arc light. Nevertheless, the stability of arc sound ...
Fourier Analysis Welding Algorithms Sound Neural Networks, Computer Humans
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A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards.

Sensors (Basel, Switzerland) Jun 18, 2021
In modern production environments, advanced and intelligent process monitoring strategies are required to enable an unambiguous diagnosis of the process situation and thus of the final component quality. In addition, the ability to recognize the curr...
Lasers Neural Networks, Computer Deep Learning Algorithms Welding
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Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression.

Scientific reports Feb 17, 2020
Welding generates and releases fumes that are hazardous to human health. Welding fumes (WFs) are a complex mix of metallic oxides, fluorides and silicates that can cause or exacerbate health problems in exposed individuals. In particular, WF inhalati...
Machine Learning Humans Neoplasms Gene Expression Regulation, Neoplastic Computational Biology Welding Neoplasm Proteins Gases Air Pollutants, Occupational Inhalation Exposure Metabolic Networks and Pathways
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Assessing occupational hazards in welding operations: A machine learning-based approach for worker safety in Indian foundries.

Work (Reading, Mass.) Jan 1, 2024
BACKGROUND: Quantitatively analyzing the impact of UV radiation and noise during welding operations is essential to assess the exposure, identify potential hazards, and develop targeted safety protocols to ensure worker safety and adherence to safety...
Algorithms India Machine Learning Occupational Health Noise, Occupational Ultraviolet Rays Occupational Exposure Humans Welding
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Angle aided circle detection based on randomized Hough transform and its application in welding spots detection.

Mathematical biosciences and engineering : MBE Feb 19, 2019
The Hough transform has been widely used in image analysis and digital image processing due to its capability of transforming image space detection to parameter space accumulation. In this paper, we propose a novel Angle-Aided Circle Detection (AACD)...
Automation Pattern Recognition, Automated Image Processing, Computer-Assisted Equipment Design Machine Learning Automobiles Software Cluster Analysis Algorithms Welding
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