ABOUT ME
I received my bachelor's and master's degrees in Mechanical Engineering from Henan University of Technology (China) in 2011 and 2014, respectively. Then, I worked as a Mechanical Engineer in China for ten months. In Jan 2020, I received my Ph.D. in Mechanical Engineering from the Polytechnique Montréal (affiliated with Université de Montréal). Prior to joining the NCBL, I worked as a research associate in the Department of Mechanical Engineering, Polytechnique Montréal, from Jan 2020 to June 2020.
SUPERVISORS
Dr Hossein Rouhani
Dr Chester Ho
RESEARCH INTERESTS
Wearable sensors for remote health monitoring
Condition monitoring system for machine and machining process
Machine tool calibration
Machine learning methods
IoT
PROJECT
Development of wearable technologies for remote health monitoring.
PUBLICATIONS
JOURNAL PAPERS
Kanglin Xing, J.R.R. Mayer, Sofiane Achiche. The impact of model complexity in machine tools condition recognition using volumetric errors. Int. J. of Automation Technology. Vol. 14, 2020, pp. 369-379.
Kanglin Xing, Sofiane Achiche, J.R.R. Mayer, Five-axis machine tools accuracy condition monitoring based on volumetric errors and vector similarity measures, International Journal of Machine Tools and Manufacture, Vol.138, 2019, pp. 80-93.
Kanglin Xing, Xavier Rimpault, J.R.R. Mayer, Jean-François Chatelain, Sofiane Achiche. Five-axis machine tool fault monitoring using volumetric errors fractal analysis[J]. CIRP Annals - Manufacturing Technology, Vol. 60, 2019, pp. 555-558.
Kanglin Xing, Xavier Rimpault, J.R.R. Mayer, Jean-François Chatelain, Sofiane Achiche. Quantitative assessment of machine tools condition through fractal analysis of volumetric error vector similarity measures. Procedia CIRP, Vol. 86, 2019, pp. 145-150.
Hashemiboroujeni, H., Esmaeili Marzdashti, S., Xing, K., Mayer, J. Five-Axis Machine Tool Coordinate Metrology Evaluation Using the Ball Dome Artefact Before and After Machine Calibration. J. Manuf. Mater. Process. Vol. 3, 2019, pp. 20.
Kanglin Xing, J.R.R. Mayer, Sofiane Achiche, Machine Tool Volumetric Error Features Extraction and Classification Using Principal Component Analysis and K-Means. J. Manuf. Mater. Process. Vol. 2, 2018, pp. 60.
Kanglin Xing, Sofiane Achiche, Sareh Esmaeili, J.R.R. Mayer, Comparison of Direct and Indirect Methods for Five-axis Machine Tools Geometric Error Measurement, Procedia CIRP, Vol. 78, 2018, pp. 231-236.
CONFERENCE PAPERS
K. Xing, R. Fathian, C. Ho, and H. Rouhani, “Sitting Direction Assessment Using Center Of Pressure Measured From Force Plate”, Progress in Canadian Mechanical Engineering. Volume 4, Jun. 2021, https://doi.org/10.32393/csme.2021.188
K. Xing, T. Dief, C. Ho, and H. Rouhani, “Sitting Pressure Analysis Using A Partial Calibrated Pressure Mat”, Progress in Canadian Mechanical Engineering. Volume 4, Jun. 2021, https://doi.org/10.32393/csme.2021.187
Xing, K., Rimpault, X., Mayer, J.R.R., Chatelin, J.-F. & Achiche, S. (2021). Quantitative assessment of machine tools precision states through fractal analysis of machine error parameters. Paper presented at the 14th International Conference & Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance (LAMDAMAP 2021) (10 pages).
Kanglin Xing, Xiaojie Liu, Zhaoheng Liu, J.R.R. Mayer, Sofiane Achiche. Low-cost Precision Monitoring System of Machine Tools for Small and Medium-Sized Enterprises (SMEs). CIRPe 2020, accepted.
Kanglin Xing, J.R.R. Mayer, Sofiane Achiche. Application of EWMA Control Chart on Volumetric Errors Change Recognition. Proceedings of The Joint Canadian Society for Mechanical Engineering and CFD Society of Canada International Congress 2019, CSME-CFDSC Congress 2019, June 2-5, 2019, London, On, Canada.
Xing, K., Achiche, S. & Mayer, R. Machine Tool Volumetric Error Features Extraction and Classification Using Principal Component Analysis and K-Means. Paper presented at the International Conference on Virtual Machining and Process Technology (VMPT 2018), Hamilton, Toronto, Canada.
Kanglin Xing, Sofiane Achiche, Sareh Esmaeili, J.R.R. Mayer (2019) The Effects of Machine Tool Pallet Change on Machine Tool Geometric Measurement Using the Scale and Master Ball Artefact Method (SAMBA). In: Fujita H., Nguyen D., Vu N., Banh T., Puta H. (eds) Advances in Engineering Research and Application. ICERA 2018. Lecture Notes in Networks and Systems, vol 63. Springer, Cham.
Xing, K., Mayer, R. & Achiche, S. Volumetric error modelling for machine tool condition monitoring using data methods. Paper presented at the International Conference on Virtual Machining and Process Technology (VMPT2017), Montreal, Quebec.
Kanglin Xing, Sofiane Achiche, Rene Mayer. Using Vector Similarity Measure and Volumetric Accuracy for Machine Tools Condition Monitoring. Paper presented at the International Conference on Virtual Machining and Process Technology (VMPT2016), Taiwan.
PATENTS
Kanglin Xing, Jie Sha, Xiaohui Xing, Chengming Xing. A continuous ozone microbubble-based vegetable cleaning machine. China, CN108056485 A, 2020.
Kanglin Xing, Jie Sha, et al. A rotary magnetorheological polishing head device and polishing method. China, CN207255836U, 2018.
Kanglin Xing, Jie Sha, et al. A rotary optical fiber preform magnetorheological polishing machine. China, CN207255836U, 2018.
Kanglin Xing, Jie Sha, et al. A portable micro bubbles device. China, CN206543528 U, 2017.
Kanglin Xing, Cuifang Xing, et al. A power-off protection system for furnace: China, CN205027146U, 2016.
HONORS AND AWARDS
· Winner of the 12th “Chun Hui Cup” competition, China (2017)
· Outstanding Graduate of Henan Province, China (2014)
· National Graduate Scholarship, China (2013)
· Outstanding Graduate of Henan Province, China (2011)
· National Encouragement Scholarship, China (2008)