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"A digital shadow approach for enhancing process monitoring in wire arc" by Haochen Mu, Fengyang He et al.

With the development of Industry 4.0 and smart manufacturing, improving production automation, intelligence, and digitalization has become a research trend in the Wire Arc Additive Manufacturing (WAAM) field. This study introduces a digital shadow that aims to improve the adaptiveness and dimensionality of monitoring systems in WAAM. Three sensors are used in the digital shadow: a welding electric signal sensor, a camera, and a laser profilometer to collect welding current and voltage data, imag...
Wire Arc Additive Manufacturing Multi Layer Perceptron Variational Autoencoder Defect Detection Digital Shadow Image Processing
Source: uow.edu.au

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Global Machine Vision in the Electronics and Semiconductor Industry Report 2022: Demand Rebound in Chips and Electronic Components Post Pandemic Advancing the Need for Automated Inspection Tools

/PRNewswire/ -- The "Growth Opportunities in Machine Vision in the Electronics and Semiconductor Industry" report has been added to ResearchAndMarkets.coms...
Laura Wood Electronics Industry E St Office Hours Call Office Hours Call Semiconductor Industry Illumination Technology

"Defect Detection and Process Monitoring for Wire Arc Additive Manufact" by Haochen Mu, Zhonghao Chen et al.

Wire Arc Additive Manufacturing (WAAM) is a promising manufacturing technology that has been used to build medium to larger-sized components. The recent progress of Artificial Intelligence (AI) technology has led to Machine Learning (ML) algorithms being widely implemented for modeling, control, monitoring, and simulation processes in WAAM. However, current defect detection systems are limited due to the types of detectable defects, and a real-time micro-defect detection system is yet to be deve...
Arc Additive Manufacturing Artificial Intelligence Machine Learning Additive Manufacturing Defect Detection Machine Learning
Source: uow.edu.au

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