| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
3D Printing of Biomaterials and Devices
|
| Presentation Title |
Methodology for Ceramic 3D Printing: Slurry Optimization |
| Author(s) |
Antrakrate Gupta, Ratan Lal Sahu, Kantesh Balani, Shikhar Krishn Jha |
| On-Site Speaker (Planned) |
Shikhar Krishn Jha |
| Abstract Scope |
Among the common techniques of ceramic additive manufacturing, extrusion-based and DLP are the two commonly known methods. Both of these methods require slurry preparation that faces the challenges of inhomogeneity and sedimentation. Traditionally, hit-and-trial approaches have been used to optimize the amount of dispersant, powder particle sizes, and solid loading for the desired slurry consistency. In this study, a computer vision-assisted methodology is designed to optimize these parameters to minimize the time quantitatively. The methodology is based on tracing changes in the optical characteristics of suspension. The role of dispersant quantities has been correlated to suspension stability. This methodology has helped optimize the 3D printing of hydroxyapatite-loaded polymer slurry, and good quality 3D printed scaffolds are achieved without any sagging or non-homogeneous structural or constituent distribution as was seen in the unoptimized slurry, which had sedimentation effect. |