New Era Towards Autonomous Additive Manufacturing: A Review of Recent Trends and Future Perspectives

Journal Article · 09 January 2025 · International Journal of Extreme Manufacturing

DOI: https://doi.org/10.1088/2631-7990/ada8e4 · OSTI ID:2499572

Fan, Haolin; Liu, Chenshu; Bian, Shijie; Ma, Changyu; Huang, Junlin; Liu, Xuan; Doyle, Marshall; Lu, Thomas; Chow, Edward; Chen, Lianyi ; Fuh, Jerry Ying Hsi; Lu, Wen Feng; Li, Bingbing

Abstract The Additive Manufacturing (AM) landscape has significantly transformed in alignment with Industry 4.0 principles, primarily driven by the integration of Artificial Intelligence (AI) and Digital Twin (DT). However, current Intelligent Additive Manufacturing (IAM) systems face limitations such as fragmented AI tool usage and suboptimal human-machine interaction (HMI). This paper reviews existing IAM solutions, emphasizing control, monitoring, process autonomy, and end-to-end integration, and identifies key limitations, such as the absence of a high-level controller for global decision-making. To address these gaps, we propose a transition from IAM to Autonomous Additive Manufacturing (AAM), featuring a hierarchical framework with four integrated layers: knowledge, generative solution, operational, and cognitive. In the cognitive layer, AI agents notably enable machines to independently observe, analyze, plan, and execute operations that traditionally require human intervention. These capabilities streamline production processes and expand the possibilities for innovation, particularly in sectors like in-space manufacturing (ISM). Additionally, this paper discusses the role of AI in self-optimization and lifelong learning, positing that the future of AM will be characterized by a symbiotic relationship between human expertise and advanced autonomy, fostering a more adaptive, resilient manufacturing ecosystem.

• Sponsoring Organization: USDOE
• Grant/Contract Number: EE0009726
• OSTI ID: 2499572
• Journal Information: International Journal of Extreme Manufacturing, Journal Name: International Journal of Extreme Manufacturing; ISSN 2631-8644
• Publisher: IOP PublishingCopyright Statement
• Country of Publication: United Kingdom
• Language: English