首页|New Machine Learning Research from Swinburne University of Technology Discussed (Comprehensive Composite Mould Filling Pattern Dataset for Process Modelling and Prediction)
New Machine Learning Research from Swinburne University of Technology Discussed (Comprehensive Composite Mould Filling Pattern Dataset for Process Modelling and Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Hawthorn, Australia, by NewsRx journalists, research stated, “The Resin Transfer Moulding process receiv es great attention from both academia and industry, owing to its superior manufa cturing rate and product quality.” The news correspondents obtained a quote from the research from Swinburne Univer sity of Technology: “Particularly, the progression of its mould filling stage is crucial to ensure a complete reinforcement saturation. Contemporary process sim ulation methods focus primarily on physics-based approaches to model the complex resin permeation phenomenon, which are computationally expensive to solve. Thus , the application of machine learning and data-driven modelling approaches is of great interest to minimise the cost of process simulation. In this study, a com prehensive dataset consisting of mould filling patterns of the Resin Transfer Mo ulding process at different injection locations for a composite dashboard panel case study is presented.”
Swinburne University of TechnologyHawt hornAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMach ine Learning
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