| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing: Equipment, Instrumentation and Measurement
|
| Presentation Title |
In-Process Quality Control and Optimization for Ceramic 3D Printing |
| Author(s) |
Zhaolong Zhang, Richard D Sisson, Christopher A Brown, Jianyu Liang |
| On-Site Speaker (Planned) |
Zhaolong Zhang |
| Abstract Scope |
Advanced ceramics are widely used in aerospace, automotive, and other industries. Ceramic additive manufacturing Methods have been studied intensively in recent years due to the capability of producing complex products. However, the in-process control/feedback is not currently implemented in any commercially available ceramic 3D printer. In this project, in-process control/feedback is studied experimentally to improve control of the amount of material being deposited. Materials, processes, and machine parameters and their influence on the quality parameters are studied first. Robocasting is one of the most widely used additive manufacturing methods for a variety of ceramic-based materials at a low cost. This study uses robocasting as an example to implement an in-process control/feedback loop in a ceramic additive manufacturing process. Key parameters for ceramic robocasting are prescribed and a database of the relationship between these parameters and the quality of the printed part is established. Finally, a closed-loop robocasting process is described. |