Evaluation of the Effects of Charcoal Particle Sizes on Carburized Low Carbon Steel
- Authors
-
-
Chibuzor A. OKAFOR
Mechanical Engineering Department, Ahmadu Bello University, Zaria, Nigeria
Author
-
Bello ABDULKAREEM
Mechanical Engineering Department, Ahmadu Bello University, Zaria, Nigeria
Author
-
Najeem A. YEKEEN
Mechanical Engineering Department, Federal Polytechnic, Kaura Namoda, Nigeria
Author
-
Blessing A. OSULOYE
Mechanical Engineering Department, Ahmadu Bello University, Zaria, Nigeria
Author
-
Yakubu O. HASSAN
Mechanical Engineering Department, Federal Polytechnic, Offa, Nigeria
Author
-
Musa J. MAIKATO
Mechanical Engineering Department, Ahmadu Bello University, Zaria, Nigeria
Author
-
- Keywords:
- Carburize, particle size, metallographic, hardness, tensile strength.
- Abstract
-
This research investigates how charcoal particle size affects the carburization of mild steel. A total of 32 low-carbon steel specimens (0.219% carbon content) were carburized using charcoal particles of varying sizes: 0.5 mm, 2 mm, 5 mm, and 10 mm. The charcoal used contained 63% fixed carbon. Carburization was carried out at 900°C for 120 minutes in the presence of an energizer, followed by quenching in water. The carburized samples were then subjected to tensile, hardness, and metallographic tests. Results indicate that the specimen treated with 0.5 mm charcoal specimen achieved the highest ultimate tensile strength 956.77 MPa which is 59% higher than the control sample. In contrast, the 10 mm charcoal specimen exhibited the highest hardness (85.23 HRA, 45.4% higher than the control) and modulus of elasticity (205.34 GPa, 2.7% higher). Metallographic analysis revealed that these samples developed a martensitic case with a bainitic core, indicating improved surface hardness and strength due to the larger particle size of charcoal used in the carburizing process.
- References
- Downloads
- Published
- 08-08-2025
- Section
- Articles
- License
-
Copyright (c) 2025 FUDMA Journal of Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Oluwayinka. G. AKINWAMIDE, Olugbenga O. AMU, Christopher FAPOHUNDA, Prediction of International Roughness Index of Flexible Pavement Using Machine Learning-Based Predictive Framework in Ekiti State , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Shehu ABDULKADIR, Dangora N. DAUDA, Aliyu A. ADAMU, Badaru M. SANI, Rilwan ABUBAKAR, Timothy A. TIMOTHY, Uchechukwu M. AGBOM, Abubakar S. ABUBAKAR, Development and Performance Evaluation of a Modified Active Evaporative Cooling System for Postharvest Preservation of Selected Vegetables , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Emma S. EKPO, Mokọ́ládé JOHNSON, Constructing Meaning and Enhancing Well-Being: The Role of Place Attachment, Place Identity, and Sense of Place in Architectural Studio Environments , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
You may also start an advanced similarity search for this article.
