Prediction of single track clad quality in laser metal deposition using dissimilar materials: Comparison of machine learning-based approaches
Pascal Paulus,
Yannick Ruppert,
Michael Vielhaber
et al.
Abstract:Powder-based laser metal deposition (LMD) offers a promising additive manufacturing process, given the large number of available materials for cladding or generative applications. In laser cladding of dissimilar materials, it is necessary to control the mixing of substrate and additive in the interaction zone to ensure safe metallurgical bonding while avoiding critical chemical compositions that lead to undesired phase precipitation. However, the generation of empirical data for LMD process development is very… Show more
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