Quantitative characterization of defects in stereolithographic additive manufactured ceramic using X-ray computed tomography

Keqiang Zhang, Qiaoyu Meng, Xueqin Zhang, Zhaoliang Qu, Rujie He*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)

Abstract

Ceramics have been widely fabricated by additive manufacturing (AM). Compared to conventional technologies, the strength of additive manufactured ceramic is relatively low owing to the formation of defects during manufacturing process. These defects have significant effects on the microstructure and mechanical properties of additive manufactured ceramics. However, systematic research on defects, including defect geometrical features, quantitative statistics, and formation mechanism, as well as the intrinsic relationship with mechanical properties, need to be studied in depth. In this work, Al2O3 ceramics were prepared from photosensitive slurries with different solid loadings by using stereolithographic (SL) additive manufacturing. The defects, including their sizes and distributions, in both green and sintered bodies were investigated by using scanning electron microscopy (SEM) and X-ray computed tomography (X-CT). Geometrical features and quantitative statistics of the defects were evaluated and discussed to reveal their formation mechanism. Moreover, the intrinsic relationship between defects and mechanical properties of the additive manufactured ceramic was revealed. This study can give some fundamental understanding of the defects in additive manufactured ceramics.

Original languageEnglish
Pages (from-to)144-157
Number of pages14
JournalJournal of Materials Science and Technology
Volume118
DOIs
Publication statusPublished - 10 Aug 2022

Keywords

  • Ceramic
  • Defects
  • Stereolithographic additive manufacturing
  • Strength
  • X-CT

Fingerprint

Dive into the research topics of 'Quantitative characterization of defects in stereolithographic additive manufactured ceramic using X-ray computed tomography'. Together they form a unique fingerprint.

Cite this