journal article May 01, 2026

Correlation analysis of granulation condition, granule properties and green density of alumina ceramics fabricated by spray freeze granulation drying

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References
47
[1]
Fracture properties of spray-dried powder compacts: Effect of granule size

J.L. Amorós, V. Cantavella, J.C. Jarque et al.

Journal of the European Ceramic Society 2008 10.1016/j.jeurceramsoc.2008.05.004
[2]
A.C. Anders, G.J. Ghorra, R.V. Rigutto, Wet vs Dry Processing: Granulation of Ceramic Powders (2nd in a Series), in: Materials & Equipment/Whitewares: Ceramic Engineering and Science Proceedings, 1989, pp. 18-35. 10.1002/9780470310526.ch3
[3]
Spray‐Drying Ceramic Powders

Stanley J. Lukasiewicz

Journal of the American Ceramic Society 1989 10.1111/j.1151-2916.1989.tb06184.x
[4]
Binder surface segregation during spray drying of ceramic slurry

Yao Zhang, XiaoXia Tang, Nozomu Uchida et al.

Journal of Materials Research 1998 10.1557/jmr.1998.0267
[5]
Uchida "Spray-freeze-dried granules for ceramics fabrication" Am. Ceram. Soc. Bull. (2002)
[6]
Influence of Slurry Flocculation on the Character and Compaction of Spray‐Dried Silicon Nitride Granules

Hideo Takahashi, Nobuhiro Shinohara, Masataro Okumiya et al.

Journal of the American Ceramic Society 1995 10.1111/j.1151-2916.1995.tb08412.x
[7]
Controlling the morphology of ceramic and composite powders obtained via spray drying – A review

Agnese Stunda-Zujeva, Zilgma Irbe, Liga Berzina-Cimdina

Ceramics International 2017 10.1016/j.ceramint.2017.05.023
[8]
Spray-freeze-dried nanosized silicon carbide containing granules: Properties, compaction behaviour and sintering

Prasenjit Barick, Bhaskar Prasad Saha, Shrikant V. Joshi et al.

Journal of the European Ceramic Society 2016 10.1016/j.jeurceramsoc.2016.06.036
[9]
Spray freeze drying of YSZ nanopowder

Bala P. C. Raghupathy, J. G. P. Binner

Journal of Nanoparticle Research 2012 10.1007/s11051-012-0921-6
[10]
Rundgren "Improving powders with freeze granulation" Ceram. Ind. (2003)
[11]
Freeze granulation and spray drying of mixed granules of Al2O3

M. Singlard, A. Paillassa, L. Ferres et al.

Powder Technology 2022 10.1016/j.powtec.2021.09.044
[12]
Freeze granulation: Powder processing for transparent alumina applications

Michael Stuer, Zhe Zhao, Paul Bowen

Journal of the European Ceramic Society 2012 10.1016/j.jeurceramsoc.2012.02.038
[13]
Comparison of freeze drying and spray drying to obtain porous nanostructured granules from nanosized suspensions

Mónica Vicent, Enrique Sánchez, Tamara Molina et al.

Journal of the European Ceramic Society 2012 10.1016/j.jeurceramsoc.2011.11.034
[14]
Comparison of spray freeze dried nanozirconia granules using ultrasonication and twin-fluid atomisation

Yifei Zhang, Jon Binner, Chris Rielly et al.

Journal of the European Ceramic Society 2014 10.1016/j.jeurceramsoc.2013.10.033
[15]
Fabrication of transparent MgAl2O4 spinel via spray freeze drying of microfluidized slurry

Ha-Neul Kim, Jin-Myung Kim, Mi-Ju Kim et al.

Ceramics International 2017 10.1016/j.ceramint.2017.05.331
[16]
Selecting an appropriate binder to prepare alumina granules via spray freeze granulation drying

Naoki Kondo, Akihiro Shimamura, Mikinori Hotta et al.

Journal of the Ceramic Society of Japan 2023 10.2109/jcersj2.22143
[17]
Compactability and sinterability of alumina granules made by spray freeze granulation drying and spray drying

Naoki Kondo, Akihiro Shimamura, Mikinori Hotta et al.

Journal of the Ceramic Society of Japan 2024 10.2109/jcersj2.23190
[18]
Comparison of alumina granules prepared by spray freeze granulation drying and spray drying

Naoki Kondo, Akihiro Shimamura, Mikinori Hotta et al.

Journal of the Ceramic Society of Japan 2020 10.2109/jcersj2.20041
[19]
Freezing behaviour and spray freeze granulation drying of silicon nitride slurries prepared from tert-butyl alcohol and cyclohexane solvent mixtures

Riko Yamazaki, Junichi Tatami, Motoyuki Iijima et al.

Advanced Powder Technology 2025 10.1016/j.apt.2025.105030
[20]
S. Kawaguchi, Y. Misumi, M. Takahashi, N. Kondo, J. Tatami, Study on optimization of freezing conditions for spray freeze granulation drying equipment [In Japanese], in: Annual Meeting 2021 of The Ceramic Society of Japan, 2021.
[21]
Predictive study of drying process for limonite pellets using MLP artificial neural network model

Yunpeng Wang, Xiaolei Zhou

Powder Technology 2024 10.1016/j.powtec.2024.120026
[22]
Predicting the particle size distribution in twin screw granulation through acoustic emissions

H.A. Abdulhussain, M.R. Thompson

Powder Technology 2021 10.1016/j.powtec.2021.08.089
[23]
Application of a neural network to granulation scale-up

Satoru Watano, Yoshinobu Sato, Kei Miyanami

Powder Technology 1997 10.1016/s0032-5910(96)03219-6
[24]
Quantitative analysis of carbon content in fly ash using LIBS based on support vector regression

Renwei Liu, Peng Chen, Zhenzhen Wang et al.

Advanced Powder Technology 2021 10.1016/j.apt.2021.06.010
[25]
Prediction of rheological behavior in self-compacting concrete incorporating mineral admixtures using neural network models

Mouhcine Benaicha, Rubayyi T. Alqahtani, Bilal Lamrani et al.

Advanced Powder Technology 2025 10.1016/j.apt.2025.105026
[26]
Development of ions adsorption onto nanoparticles from water/wastewater sources via novel nanocomposite materials: A machine learning-based approach

Sirajunisa Talath, Adil Farooq Wali, Sathvik B. Sridhar et al.

Advanced Powder Technology 2024 10.1016/j.apt.2024.104462
[27]
Data interpolation and characteristic identification for particle segregation behavior and CNN-based dynamics correlation modeling

Wei Wang, Shengchao Yang, Jinpeng Qiao et al.

Advanced Powder Technology 2025 10.1016/j.apt.2024.104761
[28]
Statisticals models of powder spreadability in powder-bed-based additive manufacturing

M. Soulier, A. Burr, J.P. Garandet

Advanced Powder Technology 2025 10.1016/j.apt.2025.104947
[29]
Predicting mechanical properties of ultrahigh temperature ceramics using machine learning

Taihao Han, Jie Huang, Gaurav Sant et al.

Journal of the American Ceramic Society 2022 10.1111/jace.18636
[30]
Thermal conductivity prediction of sintered reaction bonded silicon nitride ceramics using a machine learning approach based on process conditions

Ryoichi Furushima, Yuki Nakashima, You Zhou et al.

Ceramics International 2024 10.1016/j.ceramint.2023.12.231
[31]
Multilayer artificial intelligence for thermal-conductivity prediction of silicon nitride ceramics from powder processing conditions and predicted densities

Ryoichi Furushima, Yuki Nakashima, You Zhou et al.

Ceramics International 2024 10.1016/j.ceramint.2024.04.132
[32]
Artificial neural network investigation of injectability and percolation of highly filled β -Tricalcium phosphate suspensions

Serdar Kulakoğlu, Emre Yalamaç, Erdem Sahin

Ceramics International 2022 10.1016/j.ceramint.2022.06.024
[33]
Predicting the Thermal Conductivity of Porous SiC Ceramics by Machine Learning With Novel Encoding

Ying Chung, Katsumi Yoshida

Journal of the American Ceramic Society 2026 10.1111/jace.70619
[34]
Jain "Artificial neural networks: a tutorial" Computer (1996) 10.1109/2.485891
[35]
Artificial neural networks: fundamentals, computing, design, and application

I.A Basheer, M Hajmeer

Journal of Microbiological Methods 2000 10.1016/s0167-7012(00)00201-3
[36]
On the capabilities of multilayer perceptrons

Eric B Baum

Journal of Complexity 1988 10.1016/0885-064x(88)90020-9
[37]
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

M.W Gardner, S.R Dorling

Atmospheric Environment 1998 10.1016/s1352-2310(97)00447-0
[38]
S. Lundberg, A unified approach to interpreting model predictions, arXiv preprint arXiv:1705.07874, (2017).
[39]
Ceramic Powder Compaction

S. Jill Glass, Kevin G. Ewsuk

MRS Bulletin 1997 10.1557/s0883769400034709
[40]
E. Winter, Chapter 53 The shapley value, in: Handbook of Game Theory with Economic Applications, Elsevier, 2002, pp. 2025-2054. 10.1016/s1574-0005(02)03016-3
[41]
L. Merrick, A. Taly, The explanation game: Explaining machine learning models using shapley values, in: Machine Learning and Knowledge Extraction: 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25–28, 2020, Proceedings 4, Springer, 2020, pp. 17-38.
[42]
Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions

Raquel Rodríguez-Pérez, Jürgen Bajorath

Journal of Computer-Aided Molecular Design 2020 10.1007/s10822-020-00314-0
[43]
A Comprehensive Review of the Latest Trends in Spray Freeze Drying and Comparative Insights with Conventional Technologies

Maria Ioannou Sartzi, Dimitrios Drettas, Marina Stramarkou et al.

Pharmaceutics 2024 10.3390/pharmaceutics16121533
[44]
Effect of freeze-drying conditions on shrinkage and porosity of dehydrated agricultural products

M.K. Krokida, V.T. Karathanos, Z.B. Maroulis

Journal of Food Engineering 1998 10.1016/s0260-8774(98)00031-4
[45]
Practical Considerations for Determination of Glass Transition Temperature of a Maximally Freeze Concentrated Solution

Swapnil K. Pansare, Sajal Manubhai Patel

AAPS PharmSciTech 2016 10.1208/s12249-016-0551-x
[46]
Influence of Freezing Parameters on the Formation of Internal Porous Structure and Its Impact on Freeze-Drying Kinetics

Patrick Levin, Vincent Meunier, Ulrich Kessler et al.

Processes 2021 10.3390/pr9081273
[47]
A review on the angle of repose of granular materials

Hamzah M. Beakawi Al-Hashemi, Omar S. Baghabra Al-Amoudi

Powder Technology 2018 10.1016/j.powtec.2018.02.003
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Published
May 01, 2026
Vol/Issue
37(5)
Pages
105251
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Ying Chung, Naoki Kondo, Ken’ichiro Kita, et al. (2026). Correlation analysis of granulation condition, granule properties and green density of alumina ceramics fabricated by spray freeze granulation drying. Advanced Powder Technology, 37(5), 105251. https://doi.org/10.1016/j.apt.2026.105251