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Analysis of Data from In-Situ Monitoring of Additive Manufacturing Process

Comberton David,Kromer Robin,Lacoste Eric

Advances on Mechanics, Design Engineering and Manufacturing IV(2022)

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摘要
Additive Manufacturing are x² evolving with data monitoring possibilities in industrial machine. This work is focused on tools for the development of health matter evaluation. It is a first step before developing in-situ control strategies. One process is studied: Wire Arc Additive Manufacturing process. The work presents the design specification necessary of a lab-bench and a methodology with in-situ analysis to generate defect detection metamodel. The methodology for metamodel is presented in this article. Data are obtained from a photodiodes and machine learning algorithms are used to generate two metamodels, after the definition of a design of experiment using a SOBOL tool, on the average and the standard deviation. The influence of the travelling speed and the current intensity are studied, on the sensor signal and the samples quality, to illustrate the potential of in-situ monitoring for the process. The accuracy of the prediction is also presented, like the sensitivity of the parameters on the results.
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关键词
Lab-bench, In-situ monitoring, Additive manufacturing
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