All Outputs (3)

Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. (2024)
Journal Article
MUTHUKRISHNAN, R., BALOGUN, Y., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M. and FAISAL, N.H. 2024. Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. High temperature corrosion of materials [online], 101(Suppl 1), pages 309-331. Available from: https://doi.org/10.1007/s11085-024-10312-4

Degradation of coatings and structural materials due to high temperature corrosion in the presence of molten salt environment is a major concern for critical infrastructure applications to meet its commercial viability. The choice of high value coati... Read More about Machine learning approach to investigate high temperature corrosion of critical infrastructure materials..

Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis. (2024)
Journal Article
FAISAL, N.H., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., MUTHUKRISHNAN, R., BALOGUN, Y., PANCHOLI, K., HUSSAIN, T., LOKACHARI, S., HORRI, B.A. and BANKHEAD, M. 2024. Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis. Engineering reports [online], 6(9), article number e12947. Available from: https://doi.org/10.1002/eng2.12947

Thermochemical water splitting stands out as the most efficient techniques to produce hydrogen through electrolysis at a high temperature, relying on a series of chemical reactions within a loop. However, achieving a durable thermochemical cycle sys... Read More about Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis..

Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot. (2024)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2024. Tracking and estimation of surgical tool relative-pose and angle based on the vision system for sugical robot. Poster presented at the 3rd Medical device manufacturing centre annual conference 2024 (MDMC 2024), 23 May 2024, Glasgow, UK.

This research presents a Virtual Dynamic Tri crossbar and a Virtual Stable Graph (VDT VSG) which simplifies the task of tracing the needle angle and location in 2 D plane. In addition, Virtual Dynamic Line (helps to quantify the displacement between... Read More about Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot..