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Advanced Additive Manufacturing Processing of Ceramic Materials

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced and Functional Ceramics and Glasses".

Deadline for manuscript submissions: 20 July 2025 | Viewed by 1454

Special Issue Editors

State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
Interests: laser welding process; process monitoring and control; laser additive manufacturing; ultrashort pulse laser joining technology
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
Interests: ceramic additive manufacturing; biological additive manufacturing; polymer additive manufacturing

Special Issue Information

Dear Colleagues,

Due to their high temperature resistance, corrosion resistance and good chemical stability, ceramic materials are widely used in machinery, the chemical industry, electronics, aerospace, biomedicine and other industrial fields. Traditional ceramic processing technology, including injection molding, dry press molding, gel injection molding, etc., is very dependent on the mold, and cannot meet the requirements of rapidly manufactured integrated, complicated and precise ceramic products. Additive manufacturing technology is based on the discrete stacking principle, in which, according to a pre-designed three-dimensional solid model, a series of discrete materials are stacked layer by layer in a predetermined trajectory to create physical parts. Compared to traditional ceramic processing technology, ceramic additive manufacturing technology prevents the key limitation within traditional ceramic processing of its over-reliance on molds, and can quickly produce fully personalized ceramic products without molds, with a high freedom of structural design, and is considered to be one of the many disruptive technologies that constitute Industry 4.0.

This Special Issue aims to collect the most recent research on innovative and pioneering works in additive manufacturing, welding and casting, covering several aspects such as the additive manufacturing process, the numerical simulation of the manufacturing process, process quality monitoring and control, solidification and crystallization, composition distribution and defects.

Dr. Cong Chen
Dr. Wei Zhu
Guest Editors

Manuscript Submission Information

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Keywords

  • ceramic
  • additive manufacturing
  • welding
  • casting
  • monitoring
  • numerical simulation
  • solidification
  • crystallization
  • composition distribution
  • defects

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Published Papers (2 papers)

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Research

19 pages, 8444 KiB  
Article
Machine Learning-Assisted Multi-Property Prediction and Sintering Mechanism Exploration of Mullite–Corundum Ceramics
by Qingyue Chen, Weijin Zhang, Xiaocheng Liang, Hao Feng, Weibin Xu, Pengrui Wang, Jian Pan and Benjun Cheng
Materials 2025, 18(6), 1384; https://doi.org/10.3390/ma18061384 - 20 Mar 2025
Viewed by 465
Abstract
Mullite–corundum ceramics are pivotal in heat transfer pipelines and thermal energy storage systems due to their excellent mechanical properties, thermal stability, and chemical resistance. Establishing relationships and mechanisms through traditional experiments is time-consuming and labor-intensive. In this study, gradient boosting regression (GBR), random [...] Read more.
Mullite–corundum ceramics are pivotal in heat transfer pipelines and thermal energy storage systems due to their excellent mechanical properties, thermal stability, and chemical resistance. Establishing relationships and mechanisms through traditional experiments is time-consuming and labor-intensive. In this study, gradient boosting regression (GBR), random forest (RF), and artificial neural network (ANN) models were developed to predict essential properties such as apparent porosity, bulk density, water absorption, and flexural strength of mullite–corundum ceramics. The GBR model (R2 0.91–0.95) outperformed the RF and ANN models (R2 0.83–0.89 and 0.88–0.91, respectively) in accuracy. Feature importance and partial dependence analyses revealed that sintering temperature and K2O (~0.25%) positively affected bulk density while negatively influencing apparent porosity and water absorption. Additionally, sintering temperature, additives, and Fe2O3 (optimal content ~5% and 1%, respectively) were positively related to flexural strength. This approach provided new insight into the relationships between feedstock compositions and sintering process parameters and ceramic properties, and it explored the possible mechanisms involved. Full article
(This article belongs to the Special Issue Advanced Additive Manufacturing Processing of Ceramic Materials)
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17 pages, 6130 KiB  
Article
Impact of Optimal Silane Concentration on the Rheological Properties and 3D Printing Performance of Al2O3-Acrylate Composite Slurries
by Kook-Hyun Ryu, Ung-Soo Kim, Jin-Ho Kim, Jung-Hoon Choi and Kyu-Sung Han
Materials 2024, 17(22), 5541; https://doi.org/10.3390/ma17225541 - 13 Nov 2024
Viewed by 647
Abstract
In this study, 3-trimethoxy-silylpropane-1-thiol (MPTMS) was used as a surface modifier for Al2O3 powder to systematically analyze the effects of MPTMS concentration on the rheological properties, photocuring characteristics, and 3D printing performance of photocurable composite slurries. MPTMS concentration significantly influenced [...] Read more.
In this study, 3-trimethoxy-silylpropane-1-thiol (MPTMS) was used as a surface modifier for Al2O3 powder to systematically analyze the effects of MPTMS concentration on the rheological properties, photocuring characteristics, and 3D printing performance of photocurable composite slurries. MPTMS concentration significantly influenced the rheological behavior of the slurry. Slurries containing 2 wt.% and 5 wt.% MPTMS exhibited a wide linear viscoelastic range (LVR). However, at concentrations of 10 wt.% and 20 wt.%, the LVR range narrowed, which led to reduced dispersion stability. In dispersion stability tests, the slurry with 2 wt.% MPTMS showed the most stable dispersion, while the 5 wt.% MPTMS concentration exhibited the highest photocuring rate. In 3D printing experiments, the 5 wt.% MPTMS concentration resulted in the most stable printed structures, whereas printing failures occurred with the 2 wt.% concentration. At 10 wt.% and 20 wt.%, internal cracking was observed, leading to structural defects. In conclusion, MPTMS forms silane bonds on the Al2O3 surface, significantly impacting the stability, rheological properties, and printing quality of Al2O3-acrylate composite slurries. An MPTMS concentration of 5 wt.% was found to be optimal, contributing to the formation of stable and robust structures. Full article
(This article belongs to the Special Issue Advanced Additive Manufacturing Processing of Ceramic Materials)
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