Defect Classification for Additive Manufacturing with Machine Learning
Mika León Altmann,
Thiemo Benthien,
Nils Ellendt
et al.
Abstract:Additive manufacturing offers significant design freedom and the ability to selectively influence material properties. However, conventional processes like laser powder bed fusion for metals may result in internal defects, such as pores, which profoundly affect the mechanical characteristics of the components. The extent of this influence varies depending on the specific defect type, its size, and morphology. Furthermore, a single component may exhibit various defect types due to the manufacturing process. To … Show more
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