All Outputs (2)

Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing. (2023)
Journal Article
VISWANATHAN, V., MCCLOSKEY, A., MATHUR, R., NGUYEN, D.T., FAISAL, N.H., PRATHURU, A., LLAVORI, I., MURPHY, A., TIWARI, A., MATTHEWS, A., AGRAWAL, A. and GOEL, S. 2024. Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing. Mechanical systems and signal processing [online], 208, article number 111030. Available from: https://doi.org/10.1016/j.ymssp.2023.111030

Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The core research challenge in dig... Read More about Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing..

Acoustic emission sensor-assisted process monitoring of air plasma-sprayed titanium deposition. (2023)
Journal Article
VISWANATHAN, V., PRATHURU, A., FAISAL, N.H. and GOEL, S. 2023. Acoustic emission sensor-assisted process monitoring of air plasma-sprayed titanium deposition. Journal of thermal spray technology [online], 32(8), pages 2763-2777. Available from: https://doi.org/10.1007/s11666-023-01663-6

Acoustic emission is a sensing technique that offers the potential benefit for its use as an in situ monitoring tool for a wide range of manufacturing processes. This work attempts to highlight the robustness of using acoustic emission (AE) data for... Read More about Acoustic emission sensor-assisted process monitoring of air plasma-sprayed titanium deposition..