Sensing, Modeling and Control of Additive Manufacturing Process

Time: 9am - 5pm, December 16 2018

Location: Splash 12, Fontainebleau Miami Beach, 4441 Collins Avenue Miami Beach, FL 33140, US

About the Workshop

Recent years have seen an increasing industrial push to mature additive manufacturing technology to production ready stage. Widespread adoption of the additive manufacturing technology is challenged by lack of quality assurance arising from part-to-part and machine-to-machine variability. This is a major concern for safety-critical applications where component failures cannot be tolerated. The AM community is expressing that qualification and certification are the “long poles in the tent.” Numerous government agencies, such as ONR and NIST, have identified challenges that are linked to accelerated qualification. Real-time process monitoring and control via an intelligent fusion of data and physics have always emerged as the potential leading factor for accelerated qualification of AM process and components. Both academic and industrial researchers are working on demonstrating the capability of in-situ monitoring and closed-loop controls in the AM process. Yet, significant gaps relating to in-situ monitoring and control still exist that hinder AM advancement from research to industrialization. The objective of this workshop is to explore and discuss how these gaps can be bridged. The workshop will focus on the particular themes:

  • Reliable in-situ monitoring technique: Literature on in-situ monitoring techniques is rich and widespread. However, reliability of the algorithm is often overlooked, making the technique less attractive for industry to adopt. The goal will be to explore techniques that have the intent of industrialization.

  • Control architecture framework and techniques: In-situ control (feedforward and/or feedback) literature is not as rich as monitoring. The fundamental question of an appropriate control architecture framework(s) taking advantage of the multiple time and length scales in the AM process remains not addressed. Additionally, the value proposition of control is also not clearly stated in the literature, making the control problem less of a focus. The goal will be to clearly understand the cost-benefit of controls and what are the suitable architecture / technique that have the maximum impact in rapid part qualification for AM.

  • Open access machines: One main challenge in deploying any in-situ monitoring and control techniques on a production ready machine is the “black-box’ nature of the machine. Recently, a lot of organizations have started investing in developing an open access machine where it is easy to manipulate process parameters and in-situ monitoring and control are effective and amenable. The focus will be to understand how these open machines can be effective in enabling part qualification.

Target Audience

This workshop is designed to facilitate researchers from academic communities and engineers from relevant industries interested in understanding how modeling, learning, and control can accelerate the AM process development. The workshop will include guest speakers spanning from academia to industry, sharing their past experience and thoughts on the above mentioned topics. It is intended to share with audiences the motivation, rationale, challenges, and achievements in the field of in-situ monitoring and control of AM. The workshop will also have a panel discussion to summarize the thoughts and learning from the workshop. The attendants will find the workshop beneficial in terms of concepts, applications and production ready deployment of in-situ monitoring and control in AM processes and how can it help accelerate the part qualification.