Mar 15, 2024 · Machine learning offers great flexibility in design for ceramic additive manufacturing. •. Functionally graded TPMS scaffolds improve bone regeneration outcomes ...

Sep 12, 2024 · We will investigate the integration of Artificial Intelligence into the 3D printing process to see how it can further improve these processes. AI, particularly ...

Sep 6, 2024 · ML has been applied in AM for several purposes, such as optimizing input parameters, analyzing dimensional accuracy, detecting defects during manufacturing, and ...

Nov 24, 2023 · AI integration in additive manufacturing delivers comprehensive benefits, offering tangible cost savings, actionable operational enhancements, and a positive ...

Aug 15, 2024 · The integration of machine learning methods into AM has opened up new possibilities for material analysis, design optimization, process optimization, defect ...

Mar 8, 2024 · This overview explores the integration of ML into AM processes. It categorizes ML into supervised, unsupervised, semi-supervised, and reinforcement learning ...

Dec 28, 2023 · Three-dimensional (3D) printing, or additive manufacturing, enables the creation of complex physical objects from digital models. Multimaterial printing allows ...

Mar 1, 2024 · This paper reviews the recent studies that apply DL for making the AM process better with a high-level summary of their contributions and limitations.

Apr 18, 2024 · The AI2AM project leverages technologies such as machine learning, digital twins, digital threads, and cybersecurity frameworks to promote process assurance ...

Jan 10, 2024 · This paper provides a comprehensive overview of the research and applications of machine learning in the field of additive manufacturing