STAFF PROFILE
Dr Joe Elambasseril
Position:
Research Fellow
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399254165
Email:
joe.elambasseril@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Zheng, M.,Ghabraie, K.,Yang, Y.,Elambasseril, J.,Xu, W.,Wang, Y. (2024). Quantitative surface characterisation and stress concentration of additively manufactured NiTi lattice struts In: International Journal of Advanced Manufacturing Technology, 130, 4861 - 4882
- Elambasseril, J.,Rogers, J.,Wallbrink, C.,Munk, D.,Leary, M.,Ma, M. (2023). Laser powder bed fusion additive manufacturing (LPBF-AM): the influence of design features and LPBF variables on surface topography and effect on fatigue properties In: Critical Reviews in Solid State and Materials Sciences, 48, 132 - 168
- Downing, D.,Rogers, J.,Tino, R.,Elambasseril, J.,Wallbrink, C.,Ma, Q.,Brandt, M.,Leary, M. (2023). A virtual stylus method for non-destructive roughness profile measurement of additive manufactured lattice structures In: International Journal of Advanced Manufacturing Technology, 125, 3723 - 3742
- Rogers, J.,Ma, Q.,Elambasseril, J.,Burvill, C.,Brice, C.,Wallbrink, C.,Brandt, M.,Leary, M. (2023). Fatigue test data applicability for additive manufacture: A method for quantifying the uncertainty of AM fatigue data In: Materials and Design, 231, 1 - 12
- Rees, D.,Leung, C.,Elambasseril, J.,Marussi, S.,Shah, S.,Marathe, S.,Brandt, M.,Easton, M.,Lee, P. (2023). In situ X-ray imaging of hot cracking and porosity during LPBF of Al-2139 with TiB2 additions and varied process parameters In: Materials and Design, 231, 1 - 14
- Sanaei, R.,Pagel, C.,Ayodele, B.,Lozanovski, B.,Leary, M.,Shidid, D.,Kastrati, E.,Elambasseril, J.,Williamson, T.,Brandt, M., et al, . (2023). Reducing the prosthesis modulus by inclusion of an open space lattice improves osteogenic response in a sheep model of extraarticular defect In: Frontiers in Bioengineering and Biotechnology, 11, 1 - 14
- Elambasseril, J.,Brandt, M. (2022). Artificial intelligence: way forward to empower metal additive manufacturing product development – an overview In: Materials Today: Proceedings, 58, 461 - 465
- Elambasseril, J.,Benoit, M.,Zhu, S.,Easton, M.,Lui, E.,Brice, C.,Ma, M.,Brandt, M. (2022). Effect of process parameters and grain refinement on hot tearing susceptibility of high strength aluminum alloy 2139 in laser powder bed fusion In: Progress in Additive Manufacturing, 7, 887 - 901
- Elambasseril, J.,Lu, S.,Ning, Y.,Liu, N.,Wang, J.,Brandt, M.,Tang, H.,Ma, Q. (2019). 3D characterization of defects in deep-powder-bed manufactured Ti-6Al-4V and their influence on tensile properties In: Materials Science and Engineering A, 761, 1 - 10
- Rashid, R.,Masood, S.,Ruan, D.,Palanisamy, S.,Rashid, R.,Elambasseril, J.,Brandt, M. (2018). Effect of energy per layer on the anisotropy of selective laser melted AlSi12 aluminium alloy In: Additive Manufacturing, 22, 426 - 439
Additive manufacturing, Finite element modelling, Solid mechanics
2 PhD Current Supervisions