Additive Manufacturing of Ceramic-based Materials: Process Development, Materials, Process Optimization and Applications: Additive Manufacturing of Ceramic-based Materials: Process Development, Materials, Process Optimization and Applications II
Sponsored by: ACerS Engineering Ceramics Division, ACerS Basic Science Division, TMS: Additive Manufacturing Committee, TMS: Computational Materials Science and Engineering Committee
Program Organizers: Lei Chen, University of Michigan-Dearborn; Xuan Song, University of Iowa; Nahum Travitzky, University of Erlangen-Nuremberg; Yiquan Wu, Alfred University; Paolo Colombo, University of Padova; Rajendra Bordia, Clemson University; Long-Qing Chen, Pennsylvania State University
Monday 2:00 PM
November 2, 2020
Room: Virtual Meeting Room 6
Location: MS&T Virtual
Session Chair: Rajendra Bordia , Clemson University
2:00 PM Invited
Toughening of SiC-based Ceramics by Chopped Fiber via Selective Laser Sintering: Preliminary Thinking and Attempts: Jie Yin1; Xuejian LIU1; Zhongming Chen1; Zhengren HUANG1; 1Shanghai Institute of Ceramics Chinese Academy of Sciences
SiC-based Ceramic composites are promising for usages as various large-scale and complex-shaped components. However, the intrinsic brittle nature of SiC ceramics inhibited their wide application. Incorporation of chopped carbon fiber as a reinforcing phase could enhance its reliability. During recent years, efforts have been devoted to additive manufacturing of SiC-based ceramics by adopting various techniques, including digital light processing, direct ink writing, selective laser sintering, and et al. In previous study, our group conducted investigation on direct ink writing of C/SiC ceramic composites. The critical point was the preparation of homogenous C/SiC slurries. In recent study, we combined selective sintering and liquid silicon infiltration for a higher-efficiency and higher-performance-component fabrication. We prepared complex-structured composites therefrom. The relationship between microstructure tailoring and mechanical performance was investigated.
2:40 PM Cancelled
Process Parameter Variations and 3D Printing of Ceria Ceramics: Ryan Fordham1; S. K. Sundaram1; Shawn Allan2; 1New York State College of Ceramics, Alfred University; 2Lithoz America, LLC
Cerium oxide (ceria) is well-known for applications in various fields, e.g., as a surrogate for plutonium oxide, and understanding the working mechanisms of stereolithography of ceria will help advance nuclear fuel technology. This investigation is focused on the effects of modulating process parameters for additive manufacturing of ceria ceramics with stereolithography using a CeraFab 8500. A 3 × 3 parametric study has been designed with intentions of mapping the effects of process parameter alterations of 3D printed ceria. Characteristics such as grain size, porosity, stoichiometry, and density will be used to compare printed samples with traditionally processed and sintered ceria. Main parameters varied are powder particle size, solid loading of the slurry, and sintering temperature. The aim of the study is to bound the process window of printable ceria with predictable variations in density and microstructure. We will present our early results, datasets, and interpretations.
3:00 PM
Initiation of Selective Laser Flash Sintering in Yttria-Stabilized Zirconia: Deborah Hagen1; Joseph Beaman1; Desiderio Kovar1; 1University of Texas at Austin
The simultaneous application of uniform heating and a large electric field to flash sinter ceramics has been extensively studied in a furnace environment. More recently, selective laser flash sintering (SLFS) has been demonstrated. SLFS utilizes a laser that is scanned on the sample surface to rapidly heat a local area of a ceramic while applying an electric field between two electrodes. In this work, we investigate the initial stages of flash sintering using SLFS. We report on the initiation of electrical current flow through 8YSZ ceramic powder compacts using a carbon dioxide laser and a DC electric field. We evaluate parameters that affect the initiation of the flash event and their relationship to possible flash sintering mechanisms.
3:30 PM
Uncertainty Quantification in Additive Manufacturing of Piezocomposites through Physics-informed Data-driven Modelling: Zhuo Wang1; Li He1; Chen Jiang1; Zhen Hu1; Xuan Song1; Lei Chen1; 1University of Michigan-Dearborn
A significant challenge for additively manufactured (AM-ed) piezocomposites is the presence of heterogeneous sources of uncertainty that lead to variability in the properties. We aims to develop a deep learning (DL)-enabled data-driven uncertainty quantification (UQ) method that leverages (1) extensive physics-based simulation data, and (2) a limited amount of experimental data. A two-scale computational model is developed to concurrently account for the porous microstructure in the ceramic grain scale and the complex 3D polymer-ceramic interfacial geometry to generate the data for UQ analysis. To reduce the effect of model-based uncertainty that is presented in the DL model, a Bayesian calibration framework will be utilized to calibrate and correct the DL-based model using limited expensive-but-realistic experimental data. With the reduced effect of epistemic uncertainty by using sufficient data and/or experimental calibration and validation, the data-driven GSA approach will then be used to quantify the physics-based uncertainty with a high confidence.