| A comparative study on the life cycle assessment of a 3D printed product with PLA, ABS & PETG materials R Kumar, H Sharma, C Saran, TS Tripathy, KS Sangwan, C Herrmann Procedia CIRP 107, 15-20, 2022 | 33 | 2022 |
| Experimental investigation and optimization of TIG welding parameters on aluminum 6061 alloy using firefly algorithm R Kumar, NR Mevada, S Rathore, N Agarwal, V Rajput, APS Barad IOP Conference Series: Materials Science And Engineering 225 (1), 012153, 2017 | 24 | 2017 |
| A machine vision-based cyber-physical production system for energy efficiency and enhanced teaching-learning using a learning factory R Kumar, O Patil, K Nath, KS Sangwan, R Kumar Procedia CIRP 98, 424-429, 2021 | 20 | 2021 |
| Development of machine learning algorithm for characterization and estimation of energy consumption of various stages during 3D printing R Kumar, R Ghosh, R Malik, KS Sangwan, C Herrmann Procedia CIRP 107, 65-70, 2022 | 10 | 2022 |
| Live life cycle assessment implementation using cyber physical production system framework for 3D printed products R Kumar, PGP Vilochani, S Kahnthinisha, O Patil, F Cerdas, KS Sangwan, ... Procedia CIRP 105, 284-289, 2022 | 10 | 2022 |
| Modeling and optimization of end milling parameters on aluminum 6061 alloy using GRA based Taguchi method coupled with PCA R Kumar, MK Pradhan, R Kumar Proceedings of the 5th International Conference on Manufacturing Technology …, 2014 | 9 | 2014 |
| Modeling and optimization of milling parameters on Al-60161 alloy using multi-objective genetic algorithm R Kumar, MK Pradhan, R Kumar 5th International and 26th All India Manufacturing Technology, Design and …, 2014 | 9 | 2014 |
| Machine Vision and Radio-Frequency Identification (RFID) based Real-Time Part Traceability in a Learning Factory R Kumar, O Patil, K Nath, K Rohilla, KS Sangwan Procedia CIRP 104, 630-635, 2021 | 5 | 2021 |
| Optimization of specific energy, Scrap, and surface roughness in 3D printing using integrated ANN-GA approach V Poonia, R Kumar, R Kulshrestha, KS Sangwan Procedia CIRP 116, 324-329, 2023 | 4 | 2023 |
| Internet of Learning Factories to Support the Teaching & Learning Experience on Distributed Production Systems and Blockchain Networks M Rolinck, R Kumar, B Thiede, F Cerdas, KS Sangwan, C Herrmann Available at SSRN 3868778, 2021 | 2 | 2021 |
| A cyber physical production system framework for online monitoring, visualization and control by using cloud, fog, and edge computing technologies R Kumar, KS Sangwan, C Herrmann, S Thakur International Journal of Computer Integrated Manufacturing 36 (10), 1507-1525, 2023 | 1 | 2023 |
| Development of a cyber physical production system framework for 3D printing analytics KS Sangwan, R Kumar, C Herrmann, DK Sharma, R Patel Applied Soft Computing 146, 110719, 2023 | 1 | 2023 |
| Development of a cyber physical production system framework for smart tool health management R Kumar, KS Sangwan, C Herrmann, R Ghosh Journal of Intelligent Manufacturing, 1-30, 2023 | 1 | 2023 |
| Development and comparison of machine-learning algorithms for anomaly detection in 3D printing using vibration data R Kumar, KS Sangwan, C Herrmann, R Ghosh, M Sangwan Progress in Additive Manufacturing, 1-13, 2023 | 1 | 2023 |
| Analysis of Laminated Composite Using Matlab R Kumar, JK Nath, MK Pradhan, R Kumar Proceedings of the ICMEET, 2014 | 1 | 2014 |
| Modelling and simultaneous optimization of environmental, economic, and technological factors in machining KS Sangwan, R Kumar, C Herrmann, V Poonia, R Kulshrestha International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (2 …, 2024 | | 2024 |
| Python code for development and comparison of machine-learning algorithms for anomaly detection in 3D printing using vibration data R Kumar, KS Sangwan, C Herrmann, R Ghosh, M Sangwan https://doi.org/10.24433/CO.5892561.v1, 2023 | | 2023 |
| Python code for development of Machine Learning Algorithm for Characterization and Estimation of Energy Consumption of Various Stages during 3D Printing R Kumar, R Ghosh, R Malik, KS Sangwan, C Herrmann https://doi.org/10.24433/CO.4073658.v1, 2023 | | 2023 |
| Python code to predict remaining useful life of a cutting tool during the milling process R Kumar, KS Sangwan, C Herrmann, R Ghosh https://doi.org/10.24433/CO.3030250.v1, 2023 | | 2023 |
| Development of regression algorithms to predict remaining useful life of a 3D printer nozzle KS Sangwan, R Kumar, C Herrmann, DK Sharma, R Patel https://doi.org/10.24433/CO.7020937.v1, 2023 | | 2023 |
Professor Kuldip Singh SangwanMechanical Engineering Department, Birla Institute of Technology and Science Pilani, INDIAVerified email at pilani.bits-pilani.ac.in
