首页|Findings from University of Alberta Update Knowledge of Machine Learning (A Cybe r-physical Production System for Autonomous Part Quality Control In Polymer Addi tive Manufacturing Material Extrusion Process)

Findings from University of Alberta Update Knowledge of Machine Learning (A Cybe r-physical Production System for Autonomous Part Quality Control In Polymer Addi tive Manufacturing Material Extrusion Process)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating in Edmonton, Canada, b y NewsRx journalists, research stated, "This paper introduces a successful imple mentation of a Cyber-Physical Production System (CPPS) for large-format 3D print ing, employing the 5C framework and Internet of Things (IoT) technology. The CPP S focuses on achieving autonomous part quality control by monitoring three criti cal categories: the thermal behavior of the material during printing deposition, faulty detection of contour's parts being produced, and machine integrity based on component performance." Financial supporters for this research include CGIAR, CGIAR, Natural Sciences an d Engineering Research Council of Canada (NSERC), Alberta Innovates, AB Innovat ADVANCE.

EdmontonCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningUniversity of Alberta

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.19)