Proceedings of the International Conference Recent Advances in Materials, Processes and Technology for Sustainability (RAMPTS 2025)

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Optimization based on visualization experiment for stir casting of Aluminium Hybrid Metal Matrix Composites

Authors
C. Sajith1, 2, 3, *, V. B. Renjith2, 3, K. K. Manesh2, 3
1Maharaja’s Technological Institute, Thrissur, Kerala, 680020, India
2Department of Mechanical Engineering, Government Engineering College, Thrissur, Kerala, 680009, India
3Kerala Technological University, Thiruvananthapuram, Kerala, 695016, India
*Corresponding author. Email: sajithc.gec@gmail.com
Corresponding Author
C. Sajith
Available Online 25 December 2025.
DOI
10.2991/978-94-6463-922-3_6How to use a DOI?
Keywords
Visualization experiment; Stir casting; Aluminium hybrid metal matrix composites
Abstract

This study investigates the optimization of stir casting parameters for fabricating AA 6061-based Aluminium Hybrid Metal Matrix Composites (AHMMCs) reinforced with silicon carbide and coconut shell ash. A visualization experiment using a glycerine–water model was employed to investigate on the critical process parameters. Taguchi- Grey Relational Analysis was utilized to determine optimal stirring conditions. The top-ranked combinations were then used for actual composite fabrication. Microstructural analysis and mechanical characterization validated the obtained ranking. The split element type impeller with axial flat blades operated at 350 rpm and positioned in 20 mm clearance from crucible bottom yielded homogeneity in particle distribution, higher as well as consistent micro hardness and superior impact strength. This approach of optimization based on visualization experiment demonstrates a simple as well as effective method for optimizing stir casting identities of AHMMCs and it can be applied in studies prior to the complex simulation-based analysis.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference Recent Advances in Materials, Processes and Technology for Sustainability (RAMPTS 2025)
Series
Atlantis Highlights in Material Sciences and Technology
Publication Date
25 December 2025
ISBN
978-94-6463-922-3
ISSN
2590-3217
DOI
10.2991/978-94-6463-922-3_6How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - C. Sajith
AU  - V. B. Renjith
AU  - K. K. Manesh
PY  - 2025
DA  - 2025/12/25
TI  - Optimization based on visualization experiment for stir casting of Aluminium Hybrid Metal Matrix Composites
BT  - Proceedings of the International Conference Recent Advances in Materials, Processes and Technology for Sustainability (RAMPTS 2025)
PB  - Atlantis Press
SP  - 83
EP  - 92
SN  - 2590-3217
UR  - https://doi.org/10.2991/978-94-6463-922-3_6
DO  - 10.2991/978-94-6463-922-3_6
ID  - Sajith2025
ER  -