Abstract

Diagnostics and dynamic optimization of the electrical arc in 3D printing on a CNC machine are considered. The applicability of nonlinear dynamic methods in assessing the stability of 3D printing is assessed. Artificial neural networks are used in classifying and optimizing the process parameters.

中文翻译：

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通过机器学习对CNC机器上的3D打印进行诊断

摘要

考虑在CNC机器上进行3D打印时电弧的诊断和动态优化。评估了非线性动态方法在评估3D打印稳定性方面的适用性。人工神经网络用于分类和优化过程参数。