Monitoring of multifunctional 3D printing through artificial intelligence

点击翻译按钮获取中文摘要

The ability to additively deposit multifunctional materials has attracted significant interest. Such technologies can garner a potentially transformative opportunity in the development of multifunctional 3D structures. The printing of conductive interconnects, passive and active components, sensors, actuators, batteries, and antennas within 3D printed structures has been a growing focus of the additive manufacturing sector. One of the challenges associated with such manufacturing processes is the ability to monitor and perform corrective actions. The team at the University of Calgary and the international collaborator from Purdue University have teamed up to develop new monitoring methods utilizing artificial intelligence (AI) with aid of various sensors and fusion of sensor signals.This new AI-based monitoring approach can transform the manufacturing of smart devices that can sense and adapt to various stimuli, respond, and then revert to their original state. Various 3D printing processes are closely monitored using a variety of vision systems including IR cameras to monitor the processes. Early warnings of problems will be possible to acquire due to the AI monitoring scheme and the 3D printing system which will be adaptive to generate desired properties in terms of dimensional accuracy, mechanical and electrical properties. The collaborations between Canadian and US researchers will foster diverse HQP training environment with EDI frameworks. By exploring a rapid but precise integrated 3D printing technology with AI, the team can fully utilize the multifunctional aspects of 3D systems. This technology can also extend to other manufacturing processes and possibly enable new commercialization opportunities. The research will benefit Canada by the training of HQP with a variety of professional and technical skills.