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Multifunctional characterisation of pressureless sintered Al2O3 –CaTiO3 nanocomposite

  • July Randhari , Prafulla Kumar Mallik ORCID logo EMAIL logo and Sukant Kumar Senapati
Published/Copyright: January 6, 2025
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Abstract

This paper highlights the synthesis and processing of alumina−calcium titanate (Al2O3–CaTiO3) composite for multifunctional application in the biomedical industry. In this work, the Al2O3–CaTiO3 composite was synthesized using sol-gel techniques. Calcium oxide, aluminum isopropoxide, titanium isopropoxide, ethanol, and nitric acid were used as precursor chemicals, solvents, stabilizers, and catalysis, respectively. The powder was calcined at a temperature of 800 °C for 1 h. The densification and sintering behavior of uniaxially pressed calcined powder was carried out using a pressureless sintering electric furnace at a temperature of 1,400 °C for 2 h. X-ray diffraction and scanning electron microscopy analysis were used to determine the phases and morphology of powders and sintered nano-composite. The impedance analysis was used to investigate the electrical properties of the sintered composite. As a result, the phases and morphology of Al2O3 and CaTiO3 were confirmed by X-ray diffraction, scanning electron microscopy and high resolution transmission electron microscopy analysis. Impedance analysis indicates the increasing dielectric constant and AC conductivity of the sintered sample with the function of temperature and frequency. Finally, it can be concluded that the biocompatibility of both phases could potentially be fabricated and used in biomedical industries as a functional biomaterials application.


Corresponding author: Prafulla Kumar Mallik, Department of Metallurgical and Materials Engineering, IGIT, Sarang, Dhenkanal, Odisha 759146, India, E-mail:

Acknowledgments

The authors acknowledge the financial support of the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Ministry of Science and Technology, and Government of India. Thanks to Dr. S.K. Sahoo, Professor, MME, NIT, Rourkela, for helpful discussions and the Director, IGIT, Sarang, for providing the facility.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have read and agreed to the published version of the manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: There is no use of Large Language Models, AI and Machine Learning Tools.

  5. Conflict of interest: The authors declare no conflict of interest.

  6. Research funding: This research was funded by the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Ministry of Science and Technology, Government of India for the financial support (EEQ/2016/000546).

  7. Data availability: The raw data can be obtained at the request of the corresponding author.

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Received: 2024-02-07
Accepted: 2024-11-08
Published Online: 2025-01-06
Published in Print: 2024-11-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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