Artificial Intelligence on Additive Manufacturing

Abstract

The use of 3D printing for creating three-dimensional objects is rapidly advancing in the manufacturing sector. Artificial intelligence is playing a key role in enhancing the efficiency and quality of 3D printing processes. This article delves into the ways in which artificial intelligence is impacting 3D printing. Prior to commencing a printing job, a machine learning-powered printability checker is used to assess the feasibility of a 3D object. Parallel slicing algorithms are employed to speed up the slicing process, while intelligent path planning further optimizes the process. Intelligent algorithms are also used to match demand with resources, supporting a Cloud service platform and evaluation model that allow customers to access services on demand. Additionally, three machine learning algorithms are discussed, which are designed to identify defects in products during cyber-attacks. The article also highlights the potential for further research in areas such as multi-indicator printability, simplifying complexity thresholds, expediting prefabrication, real-time control, enhancing security, and detecting defects in custom designs, particularly within the industrial context.4.0.