Impact of Sintering Aid Type and Content on the Mechanical Properties of Digital Light Processing 3D-Printed Si3N4 Ceramics
Digital light processing (DLP) 3D-printed Si₃N₄ ceramics, known for their exceptional performance, offer distinct advantages in meeting the high-strength and complex structural demands of industries such as aerospace, semiconductors, healthcare, automotive, energy, and machinery. However, due to Si₃N₄'s strong chemical stability, low diffusion rate, low self-sintering ability, and high melting point, achieving densification under conventional sintering conditions is challenging. As a result, sintering additives are essential to promote the sintering process, lower the sintering temperature, improve densification, and enhance performance. In this study, 45 vol% Si₃N₄ slurries were prepared using DLP 3D printing technology, incorporating nine different combinations of sintering additives, including aluminum oxide (Al<sub>2</sub>O<sub>3</sub>), yttrium oxide (Y<sub>2</sub>O<sub>3</sub>), and aluminum nitride (AlN), in various ratios with Si<sub>3</sub>N<sub>4</sub>. The slurries were then sintered at 1800 °C for 2 h under a 1 MPa N<sub>2</sub> atmosphere. Additionally, the phase composition, microstructure, grain distribution, and crack propagation of the materials. The results showed that a Si<sub>3</sub>N<sub>4</sub> to Al<sub>2</sub>O<sub>3</sub> and Y<sub>2</sub>O<sub>3</sub> ratio of 95:2.5:2.5 produced elongated β-Si<sub>3</sub>N<sub>4</sub> grain structures and enhanced density, achieving a maximum Vickers hardness of 12.88 ± 0.52 GPa. Additionally, the synergistic toughening effect of the rod-like β-Si<sub>3</sub>N<sub>4</sub> grains and sintering aids significantly improved the fracture toughness of the Si<sub>3</sub>N<sub>4</sub> ceramic matrix, with a flexural strength of 540.63 ± 10.05 MPa and a fracture toughness of 4.92 ± 0.07 MPa·m<sup>1/2</sup>. This study lays the foundation for the future application of 3D-printed Si<sub>3</sub>N<sub>4</sub> ceramics, optimization of sintering aid combinations at different ratios, and performance enhancement in extreme environments.
Authors
- Zhen Shen (ORCID: https://orcid.org/0000-0002-9634-4945)
- Qing‐Hua Qin (ORCID: https://orcid.org/0000-0003-0948-784X)
- Junwei Huang (ORCID: https://orcid.org/0000-0003-1776-9863)
- Zihan Guo (ORCID: https://orcid.org/0000-0003-1403-0502)
- Gang Xiong (ORCID: https://orcid.org/0000-0002-4303-5559)
- Changchun Ge (ORCID: https://orcid.org/0000-0003-2060-4701)
- Yujuan Zhang (ORCID: https://orcid.org/0000-0002-6790-2864)
- Lin‐Hai Han (ORCID: https://orcid.org/0000-0001-8023-3282)
Institutions
- Chinese Academy of Sciences (CN)
- Shandong Institute of Automation (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Materials
- Published
- 2024-11-27
- DOI
- https://doi.org/10.3390/ma17235830
- Citations
- 5
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.02