04th September 2021: Dr. Pradeep Kundu has presented research work titled “Automatic Identification of Most Suitable Sensors and Health Indicators for Cutting Tool Wear Prediction in Smart Manufacturing Systems” in 26th IEEE International Conference on Automation and Computing on 04th September 2021. This work has been co-authored by Prof. Xichun Luo and Prof. Yi Qin.
WP 3: Digital links in Smart Manufacturing and Product Design
Following research contributions has been made under this work package:
- Kundu, P., Luo, X., Qin, Y., Cai, Y., and Liu, Z. (2021), “A Machine Learning-Based Framework for Automatic Identification of Process and Product Fingerprints for Smart Manufacturing Systems”, IF = 5.01, Q1. (Under review in Journal of Manufacturing Processes (Elsevier)) (Submitted first revision on 28th August 2021)
WP 6: Digital links in Smart Manufacturing and Product Design
Following research contributions has been made under this work package:
- Kundu, P., Luo, X., Qin, Y., “Automatic Identification of Most Suitable Sensors and Health Indicators for Cutting Tool Wear Prediction in Smart Manufacturing Systems”, In 26th IEEE International Conference on Automation and Computing, University of Portsmouth, UK, 02-04 September 2021. (Accepted)
- Kundu, P., Luo, X., Qin, Y., and Chang, W. (2021), “A Unified Framework for Prediction of Tool Wear in Precision Machining Under Variable Operating Conditions”, IF = 6.485, Q1. (Under review in Journal of Intelligent Manufacturing (Springer)) (Submitted on 06th June 2021)