The 16 T dipole development program for FCC and HE-LHC D Schoerling, D Arbelaez, B Auchmann, M Bajko, A Ballarino, E Barzi, ... IEEE transactions on applied superconductivity 29 (5), 1-9, 2019 | 50 | 2019 |
Tracing the interrelationship between key performance indicators and production cost using Bayesian networks S Panicker, HPN Nagarajan, H Mokhtarian, A Hamedi, A Chakraborti, ... Procedia CIRP 81, 500-505, 2019 | 18 | 2019 |
Systematic manufacturability evaluation using dimensionless metrics and singular value decomposition: a case study for additive manufacturing E Coatanéa, HPN Nagarajan, S Panicker, R Prod’hon, H Mokhtarian, ... The International Journal of Advanced Manufacturing Technology 115, 715-731, 2021 | 15 | 2021 |
Digital twin: multi-dimensional model reduction method for performance optimization of the virtual entity A Chakraborti, A Heininen, KT Koskinen, V Lämsä Procedia CIRP 93, 240-245, 2020 | 13 | 2020 |
A dimension reduction method for efficient optimization of manufacturing performance A Chakraborti, HPN Nagarajan, S Panicker, H Mokhtarian, E Coatanéa, ... Procedia Manufacturing 38, 556-563, 2019 | 9 | 2019 |
Graph-based metamodeling for characterizing cold metal transfer process performance HPN Nagarajan, S Panicker, H Mokhtarian, T Remy-Lorit, E Coatanéa, ... Smart and Sustainable Manufacturing Systems 3 (2), 169-189, 2019 | 8 | 2019 |
Evidential reasoning based digital twins for performance optimization of complex systems A Chakraborti, A Heininen, S Väänänen, KT Koskinen, H Vainio Procedia CIRP 104, 618-623, 2021 | 5 | 2021 |
Graph-based Model Reduction of Machine System Digital Twins AS Chakraborti Tampere University, 2024 | | 2024 |
A Graph-Based Model Reduction Method for Digital Twins A Chakraborti, H Vainio, KT Koskinen, J Lammi Machines 11 (7), 733, 2023 | | 2023 |
Locating influential nodes in graph-based meta-model for additive manufacturing process performance optimization A Chakraborti, H Nagarajan, S Panicker, E Coatanea, K Koskinen, ... International Conference on Flexible Automation and Intelligent Manufacturing, 2020 | | 2020 |
Faster magnet quench protection analysis via reduced order modeling A Chakraborti, TM Salmi Applied Superconductivity Conference 2020, 2020 | | 2020 |
Efficient temperature modelling in cylindrical grinding digital twin A Heininen, A Chakraborti, K Koskinen CIRP Conference on Manufacturing Systems, 2020 | | 2020 |
Dimension reduction in manufacturing performance measurement with dimensional analysis conceptual modeling and multi-objective optimization A Chakraborti, S Panicker, H Nagarajan, H Mokhtarian, E Coatanea, ... | | 2019 |
Tracing the importance of manufacturing KPI for optimizing cost using DACM and AHP H Mokhtarian, A Chakraborti, S Panicker, H Nagarajan, A Hamedi, ... | | 2018 |
A Framework for Adoption of Open Knowledge Driven-Manufacturing Execution System AS Chakraborti | | 2017 |
8. QUANTIFICATION OF UNPREDICTABILITY IN MANUFACTURING PERFORMANCE INDICATOR MEASUREMENT A Chakraborti, S Panicker, K Lyytikäinen, E Coatanea, KT Koskinen Tampereen yliopisto-Tampere University, 34, 0 | | |
5. DYNAMIC SERVICE DECISION SUPPORT PLATFORM H Vainio, A Chakraborti, J Aaltonen, KT Koskinen Tampereen teknillinen yliopisto-Tampere University of Technology, 0 | | |
12. AN OPEN-SOURCE, CONFIGURABLE IOT PLATFORM FOR REMOTE MONITORING OF SMART MACHINES A Chakraborti, O Usenius, H Vainio, J Aaltonen, K Koskinen Tampereen teknillinen yliopisto-Tampere University of Technology, 0 | | |