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Prediction of dimensional deviation and quality tolerance class in the production of AlSi10Mg alloy parts with laser powder bed fusion using machine learning algorithms

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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
Metal-based workpieces can be produced additively with the selective laser melting (SLM) technique, which is one of the laser powder bed fusion (LPBF) methods. However, due to complex production parameters, the dimensional deviation and quality tolerance ...