Mr Md Bengir Ahmed Shuvho

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology


Bengir Ahmed Shuvho is a doctoral research fellow in the School of Electrical and Mechanical Engineering at the University of Adelaide, Australia, specialising in materials science and advanced manufacturing. His research focuses on the multiscale mechanical properties and characteriszation of 3D-printed alloys, integrating both experimental and computational approaches.
 
He has extensive experience in material characteriszation techniques, including large-volume microCT (industrial CT), in-situ SEM micropillar compression, nanoindentation, and mechanical testing. He is also skilled in micro-CT data processing and analysis, including 3D reconstruction, segmentation, thresholding, pore and defect quantification, morphometric analysis, and correlation with mechanical properties. His work investigates the relationships between microstructure, defects, and mechanical performance of additively manufactured metals.
 
Bengir is an active member of the American Society of Mechanical Engineers (ASME) and Materials Australia.

Multiscale mechanical properties and characterization of 3D-printed alloys

Date Institution name Country Title
Dhaka University of Engineering and Technology Bangladesh BSc in Industrial and Production Engineerng

Year Citation
2025 Shuvho, M. B. A., Juri, A. Z., Basak, A. K., Kotousov, A., & Yin, L. (2025). Micromechanical characteristics of titanium alloy (Ti-6Al-4V) made by laser powder bed fusion using an in-situ SEM micropillar compression technique. Journal of the Mechanical Behavior of Biomedical Materials, 161, 106794-1-106794-17.
DOI Scopus3 WoS3 Europe PMC1
2025 Shuvho, M. B. S., Rapagna, S., Labrinidis, A., Perilli, E., & Yin, L. (2025). Geometrical accuracies, defects and compressive mechanical failure of hollow Ti-6Al-4V alloy cylinders printed by laser powder bed fusion using X-ray microcomputed tomography. The International Journal of Advanced Manufacturing Technology, 141(7-8), 4227-4250.
DOI
2021 Mofijur, M., Siddiki, S. Y. A., Shuvho, M. B. A., Djavanroodi, F., Fattah, I. M. R., Ong, H. C., . . . Mahlia, T. M. I. (2021). Effect of nanocatalysts on the transesterification reaction of first, second and third generation biodiesel sources- A mini-review. Chemosphere, 270, 14 pages.
DOI Scopus134 WoS113 Europe PMC11
2021 Hossain, N., Chowdhury, M. A., Shuvho, M. B. A., Kashem, M. A., & Kchaou, M. (2021). 3D-Printed Objects for Multipurpose Applications. Journal of Materials Engineering and Performance, 30(7), 4756-4767.
DOI Scopus43 WoS33 Europe PMC8
2021 Chowdhury, M. A., Shuvho, M. B. A., Shahid, M. A., Haque, A. K. M. M., Kashem, M. A., Lam, S. S., . . . Mofijur, M. (2021). Prospect of biobased antiviral face mask to limit the coronavirus outbreak. Environmental Research, 192, 5 pages.
DOI Scopus92 WoS77 Europe PMC51
2020 Shuvho, M. B. A., Chowdhury, M. A., Kchaou, M., Rahman, A., & Islam, M. A. (2020). Surface characterization and mechanical behavior of aluminum based metal matrix composite reinforced with nano Al2O3, SiC, TiO2 particles. Chemical Data Collections, 28, 100442.
DOI Scopus90
2020 Chowdhury, M. A., Shuvho, M. B. A., Islam, M. A., Uddin, M. B., & Khan, R. A. (2020). Investigation and Characterization of Gamma Radiation Shielding Capacity of Heavy Minerals-Based Composite Materials. JOURNAL OF NUCLEAR ENGINEERING AND RADIATION SCIENCE, 6(4), 9 pages.
DOI WoS4
2020 Shuvho, M. B. A., Chowdhury, M. A., Hossain, N., Roy, B. K., Kowser, M. A., & Islam, A. (2020). Tribological study of Al-6063-based metal matrix embedded with SiC–Al2O3–TiO2 particles. SN Applied Sciences, 2(2), 14 pages.
DOI Scopus29 WoS22
2019 Shuvho, M. B. A., Chowdhury, M. A., Ahmed, S., & Kashem, M. A. (2019). Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh. Energy Reports, 5, 714-722.
DOI Scopus63 WoS52
2019 Shuvho, B. A., Chowdhury, M. A., & Debnath, U. K. (2019). Analysis of artificial neural network for predicting erosive wear of nylon-12 polymer. Materials Performance and Characterization, 8(1), 288-300.
DOI Scopus23 WoS22
2019 Chowdhury, M. A., Shuvho, B. A., Debnath, U. K., & Nuruzzaman, D. M. (2019). Prediction and optimization of erosion rate of carbon fiber–reinforced ebonite using fuzzy logic. Journal of Testing and Evaluation, 47(2), 1244-1258.
DOI Scopus18 WoS15

Year Citation
2020 Chowdhury, M. A., Islam, M. A., Nuruzzaman, D. M., Shuvo, B. A., Nandee, R., & Debnath, U. K. (2020). Effect of Lubricating Oil on Sliding Loss and Power Loss of Nylon Gear. In Lecture Notes in Mechanical Engineering (pp. 596-602). Springer Singapore.
DOI

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