| Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning Z Li, R Liu, D Wu Journal of Manufacturing Processes 48, 66-76, 2019 | 136 | 2019 |
| Application of audible sound signals for tool wear monitoring using machine learning techniques in end milling A Kothuru, SP Nooka, R Liu The International Journal of Advanced Manufacturing Technology 95, 3797-3808, 2018 | 118 | 2018 |
| An enhanced constitutive material model for machining of Ti–6Al–4V alloy R Liu, S Melkote, R Pucha, J Morehouse, X Man, T Marusich Journal of Materials Processing Technology 213 (12), 2238-2246, 2013 | 90 | 2013 |
| A physically based constitutive model for simulation of segmented chip formation in orthogonal cutting of commercially pure titanium SN Melkote, R Liu, P Fernandez-Zelaia, T Marusich Cirp Annals 64 (1), 65-68, 2015 | 89 | 2015 |
| Application of deep visualization in CNN-based tool condition monitoring for end milling A Kothuru, SP Nooka, R Liu Procedia Manufacturing 34, 995-1004, 2019 | 71 | 2019 |
| A unified material model including dislocation drag and its application to simulation of orthogonal cutting of OFHC Copper R Liu, M Salahshoor, SN Melkote, T Marusich Journal of Materials Processing Technology 216, 328-338, 2015 | 66 | 2015 |
| A unified internal state variable material model for inelastic deformation and microstructure evolution in SS304 R Liu, M Salahshoor, SN Melkote, T Marusich Materials Science and Engineering: A 594, 352-363, 2014 | 36 | 2014 |
| Calibration-based tool condition monitoring for repetitive machining operations R Liu, A Kothuru, S Zhang Journal of Manufacturing Systems 54, 285-293, 2020 | 35 | 2020 |
| Audio-based tool condition monitoring in milling of the workpiece material with the hardness variation using support vector machines and convolutional neural networks A Kothuru, SP Nooka, R Liu Journal of Manufacturing Science and Engineering 140 (11), 111006, 2018 | 33 | 2018 |
| A survey of immersive technologies and applications for industrial product development R Liu, C Peng, Y Zhang, H Husarek, Q Yu Computers & Graphics 100, 137-151, 2021 | 26 | 2021 |
| The prediction of machined surface hardness using a new physics-based material model R Liu, M Salahshoor, SN Melkote, T Marusich Procedia CIRP 13, 249-256, 2014 | 24 | 2014 |
| A CRISPR-Cas12b–Based platform for ultrasensitive, rapid, and highly specific detection of Hepatitis B Virus Genotypes B and C in Clinical Application X Chen, Y Tan, S Wang, X Wu, R Liu, X Yang, Y Wang, J Tai, S Li Frontiers in bioengineering and biotechnology 9, 743322, 2021 | 23 | 2021 |
| An investigation of side flow during chip formation in orthogonal cutting R Liu, E Eaton, M Yu, J Kuang Procedia Manufacturing 10, 568-577, 2017 | 22 | 2017 |
| Mechanical characterization of the stress-strain behavior of the polydimethylsiloxane (PDMS) substate of wearable strain sensors under uniaxial loading conditions S Zhang, C Ge, R Liu Sensors and Actuators A: Physical 341, 113580, 2022 | 16 | 2022 |
| Friction and wear properties of halogen-free and halogen-containing ionic liquids used as neat lubricants, lubricant additives and thin lubricant layers H Guo, R Liu, A Fuentes-Aznar, P Iglesias Victoria International Design Engineering Technical Conferences and Computers and …, 2017 | 14 | 2017 |
| Computer vision enabled funnel adapted sensing tube (FAST) for power-free and pipette-free nucleic acid detection M Bao, S Zhang, C Ten Pas, SJ Dollery, RV Bushnell, FNU Yuqing, R Liu, ... Lab on a Chip 22 (24), 4849-4859, 2022 | 13 | 2022 |
| Cutting Process Monitoring System Using Audible Sound Signals and Machine Learning Techniques: An Application to End Milling A Kothuru, SP Nooka, R Liu International Manufacturing Science and Engineering Conference 50749 …, 2017 | 12 | 2017 |
| Lubricating ability of magnesium silicate hydroxide–based nanopowder as lubricant additive in steel–steel and ceramic–steel contacts H Guo, F Chen, R Liu, P Iglesias Tribology Transactions 63 (4), 585-596, 2020 | 9 | 2020 |
| A flexible similarity-based algorithm for tool condition monitoring B Stuhr, R Liu Journal of Manufacturing Science and Engineering 144 (3), 031010, 2022 | 8 | 2022 |
| Understanding microbeads stacking in deformable Nano-Sieve for Efficient plasma separation and blood cell retrieval X Chen, S Zhang, Y Gan, R Liu, RQ Wang, K Du Journal of colloid and interface science 606, 1609-1616, 2022 | 7 | 2022 |
Shreyes N. MelkoteGeorgia Institute of Technology在 me.gatech.edu 的电子邮件经过验证
