I am Jiayu Ye, a third-year PhD candidate at RMIT University. I received my Bachelor's degree and Master's degree in Mechanical Engineering from Beijing University of Technology (BJUT) in 2014 & 2017, respectively.
ALUMNUS – Current LinkedIn profile including contact details.
The research areas I’m interested in include (but are not limited to) additive manufacturing, micro-machining, control algorithms, and machine learning.
Skills
- Autodesk Inventor
- SolidWorks
- MATLAB
- B&R Automation Studio
- Python
- Image processing
PhD project
Prior work
My undergraduate research was on controller design for vibration suppression of drive systems. I designed an Integral Proportional (IP) feedback controller and a zero-vibration shaper for an uncertain two-mass torsional system. The key feature was that all the information the controller parameters need is extracted from only the motor speed using time-frequency analysis.
My previous research topic was ‘Design & Implementation of a Spatial Biomimetic Adhesive Device’. Unlike traditional grappling devices that use ‘fingers’ to grasp objects, the adhesive device can grasp the object by sticking to its surface with a little preload. Furthermore, the device can release the object without any damage to its surface.
Publications
- Ye, J., Alam, N., Vargas-Uscategui, A., Patel, M., Bab-Hadiashar, A., Hoseinnezhad, R., & Cole, I., ‘In-situ monitoring of build height during powder-based laser metal deposition’, International Journal of Advanced Manufacturing Technology, UNDER PREPARATION.
- Ye, J., Bab-Hadiashar, A., Hoseinnezhad, R., Alam, N., Vargas-Uscategui, A., Patel, M. & Cole, I. (2022). ‘Predictions of in-situ melt pool geometric signatures via machine learning techniques for laser metal deposition’, International Journal of Computer Integrated Manufacturing, IN PRESS, DOI: 10.1080/0951192X.2022.2048422.
- Ye, J., Bab-Hadiashar, Alam, N., & Cole, I., ‘A review of the parameter-signature-quality correlations through in-situ sensing in laser metal additive manufacturing’, International Journal of Advanced Manufacturing Technology, UNDER REVIEW.
- Cui, J., Ye J. & Chu, Z., 2018. 'IP controller design for uncertain two-mass torsional system using time-frequency analysis', Shock and Vibration, vol. 2018, pp. 1-9. DOI: 10.1155/2018/1329876.
- Ye, J., Cui, J. & Chu, Z., 2016. ‘Experimental study of vibration suppression for uncertain two-mass torsional system’, 2016 12th IEEE International Conference on Control and Automation (ICCA), Kathmandu, Nepal, 1-3 June 2016, pp. 996-1001. DOI: 10.1109/icca.2016.7505410.
- Ye, J., Chu, Z. & Cui, J., 2017. ‘Optimization design of micro stroke table for gecko adhesives actuating’, 2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO), Pittsburgh, Pennsylvania, USA, 25-28 July 2017, pp. 330-333. DOI: 10.1109/nano.2017.8117312.
Further information
Supervisors
- Prof Ivan Cole (RMIT University)
- Prof Alireza Bab-Hadiashar (RMIT University)
- Dr Milan Patel (RMIT University)
- Prof Reza Hoseinnezhad (RMIT University)
- Dr Nazmul Alam (CSIRO alumni)
Metal Fabrication
Cold spray, melt pool, friction stir welding, multifunctional coatings for biomedical Mg alloys, visual monitoring of metal powder
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Research partnerships
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