A comprehensive review on application of machine intelligence in additive manufacturing

Abstract

Additive manufacturing (AM), one of the emerging disruptive technologies, is gaining popularity not only in rapid prototyping but also in manufacturing of complex shapes and dimensions. Artificial intelligence (AI) is the intelligence exhibited by computer systems to perform complex tasks such as learning, reasoning, decision making and problem solving. Machine learning (ML) is a subset of artificial intelligence which enables AI to imitate human learning process by using data and algorithms. The concept of machine intelligence which helps the advanced computing technologies to interact with the environment and highlights the intersection of AI and ML. The aim of this review article is to provide comprehensive information about the application of AI and ML in various additive manufacturing processes for different activities in order to improve the performance of the operation. Also, it describes the application of other advanced technologies such as Internet of Things (IoT), Digital Twins (DT) and Block Chain Technology to augment the additive manufacturing in producing quality products. Further, the article explains the various challenges that are encountered and the certain areas need to be addressed in future for the enhancement of quality product production by the application

Keywords

• 3D Printing
• Additive Manufacturing
• Artificial Intelligence
• Machine Learning
• Machine Intelligence

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