Open Access
| Issue |
EPJ Web Conf.
Volume 355, 2026
4th International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics (STAAAR 2025)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 15 | |
| Section | Additive Manufacturing and Sustainable Materials | |
| DOI | https://doi.org/10.1051/epjconf/202635502004 | |
| Published online | 03 March 2026 | |
- R. Wang, Q. Song, Y. Peng, J. Qin, Z. Liu, Z. Liu, toward digital twins for high-performance manufacturing: tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge. Journal of Manufacturing Processes. 88, 102723 (2024). https://doi.org/10.1016/j.jmapro.2024.103381 [Google Scholar]
- D. Diaz Ocampo, D. Aubart, G. González, F. Zanger, M. Heizmann, Classification of the machine state in turning processes by using the acoustic emission. Journal of Manufacturing and Materials Processing. 18, 289 (2024). https://doi.org/10.3390/jmmp18020289 [Google Scholar]
- K. Adithya, R. Girimurugan, Benefits of IoT in automated systems. Integration of Mechanical and Manufacturing Engineering with IoT: A Digital Transformation. 235 (2023). [Google Scholar]
- L. Bernini, P. Albertelli, M. Monno, Mill condition monitoring based on instantaneous identification of specific force coefficients under variable cutting conditions. International Journal of Machine Tools and Manufacture. 185, 109820 (2023). https://doi.org/10.1016/j.ijmachtools.2023.103923 [Google Scholar]
- T. Banda, V. L. Jauw, C. Li, A. A. Akhavan Farid, C. S. Lim, Multi-sectional SVD-based machine learning for imagery signal processing and tool wear prediction during CNC milling of Inconel 718. Journal of Intelligent Manufacturing. 132, 4017 (2024). https://doi.org/10.1007/s10845-024-02276-5 [Google Scholar]
- B. Martins, C. Patacas, A. Cavaleiro, P. Faia, C.F.A. Alves, E. Carbo-Argibay, P.J. Ferreira, F. Fernandes, Zirconium aluminum nitride thin films for temperature sensing applications. Journal of Alloys and Compounds. 1013, 178546 (2025). https://doi.org/10.1016/j.vacuum.2025.112233 [Google Scholar]
- B. Babu, S.K. Karthikeyan, B.H Babu, S. Nanthakumar, S. Sakthi, P. Vijayalakshmi, R. Girimurugan, E. Elango, M. Mathanbabu, Optimization on the Tool Parameters in Friction Stir Lap Joining of AA2219 by Response Surface Methodology. International Journal of Vehicle Structures & Systems. 16, 663-670. [Google Scholar]
- E. Aslan, Temperature prediction and performance comparison of permanent magnet synchronous motors using different machine learning techniques for early failure detection. Energies. 27, (2025). https://doi.org/10.3390/en27010072 [Google Scholar]
- Z. Hai, Z. Su, K. Zhu, Y. Pan, S. Luo, Printed thick film resistance temperature detector for real-time tube furnace temperature monitoring. Sensors. 24, 2999 (2024). https://doi.org/10.3390/s24103387 [Google Scholar]
- P. Ponnusamy, S. Seenivasan, G.B. Loganathan, D.M. Babu, A. Sivalingam, S. Nanthakumar, R. Girimurugan, Toolpath and Tool Design Innovations in Deformation Machining for Superior AA-7075 T6 Fins. In Journal of Physics: Conference Series. 2837, 012060. https://doi.org/10.1088/1742-6596/2837/1/012060 [Google Scholar]
- Q. Yan, S. Chen, H. Shi, X. Wang, S. Meng, J. Li, Fabrication of polymer-derived SiBCN ceramic temperature sensor with excellent sensing performance. Ceramics International. 43, 7373 (2023). https://doi.org/10.1016/j.ceramint.2023.7373 [Google Scholar]
- H. Liu, W. Dong, X. Sun, S. Wang, W. Li, Performance of Fe-Ga alloy rotational vibration energy harvester with centrifugal softening. Smart Materials and Structures. 31, 065008 (2022). https://doi.org/10.1088/1361-665X/ac653f [Google Scholar]
- M. Chinnasamy, R. Rathanasamy, G. V. Gobinath, P. Paramasivam, S. K. Jaganathan, A frontier statistical approach towards online tool condition monitoring and optimization for dry turning operation of Sae 1015 steel. International Journal of Advanced Manufacturing Technology. 66, 901 (2021). https://doi.org/10.1007/s00170-021-07182-9 [Google Scholar]
- G. Greczynski, S. Mráz, M. Hans, J. Lu, L. Hultman, J. M. Schneider, Control over the phase formation in metastable transition metal nitride thin films by tuning the Al+ subplantation depth. Materials Advances. 9, 17 (2019). https://doi.org/10.1039/C9MA00456A [Google Scholar]
- M. Jamshidi, X. Rimpault, M. Bałaziński, J.-F. Châtelain, Fractal analysis implementation for tool wear monitoring based on cutting force signals during CFRP/titanium stack machining. Journal of Manufacturing Processes. 106, 3859 (2020). https://doi.org/10.1016/j.jmapro.2020.08.017 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.