Dr. Rui Liu is currently an Assistant Professor in the Mechanical Engineering Department at Rochester Institute of Technology. He received his B.S. degree in Jet Propulsion at Beijing University of Aeronautics and Astronautics, China, in 2005. In 2010, he received his M.S. in Mechanical Engineering at Northeastern University. In 2014, he completed his Ph.D. in Mechanical Engineering at Georgia Institute of Technology. Dr. Rui Liu’s research areas cover a wide range of topics in advanced manufacturing, including human-centered machining, tool condition monitoring, and machining process optimization for various kinds of machining processes.
• Zhang, Shuhuan, Changfeng Ge, and Rui Liu. “Mechanical Characterization of Polydimethylsiloxane (PDMS) Substrate for Wearable Strain Sensors.” Sensors and Actuators A: Physical 341 (2022):113580.
• Liu, Rui. "An edge-based algorithm for tool wear monitoring in repetitive milling processes." Journal of Intelligent Manufacturing (2022): 1-11.
• Stuhr, Benjamin, and Rui Liu. "A flexible similarity-based algorithm for tool condition monitoring." Journal of Manufacturing Science and Engineering 144, no. 3 (2022).
• Chen, Xinye, Shuhuan Zhang, Yu Gan, Rui Liu, Ruo-Qian Wang, and Ke Du. “Understanding microbeads stacking in deformable Nano-Sieve for Efficient plasma separation and blood cell retrieval.” Journal of Colloid and Interface Science 606 (2022): 1609-1616.
• Bao, Mengdi, Shuhuan Zhang, Chad Ten Pas, Stephen J. Dollery, Ruth V. Bushnell, F. N. U. Yuqing, Rui Liu, Guoyu Lu, Gregory J. Tobin, and Ke Du. "Computer vision enabled funnel adapted sensing tube (FAST) for power-free and pipette-free nucleic acid detection." Lab on a Chip 22, no. 24 (2022): 4849-4859.
• Liu, Rui, Chao Peng, Yunbo Zhang, Hannah Husarek, and Qi Yu. "A survey of immersive technologies and applications for industrial product development.” Computers & Graphics (2021).
• Chen, Xu, Yan Tan, Shuoshi Wang, Xueli Wu, Rui Liu, Xinggui Yang, Yi Wang, Jun Tai, and Shijun Li. A CRISPR-Cas12b–Based platform for ultrasensitive, rapid, and highly specific detection of Hepatitis B Virus Genotypes B and C in Clinical Application." Frontiers in Bioengineering and Biotechnology 9 (2021): 743322.
• Liu, Rui, Achyuth Kothuru, and Shuhuan Zhang. “Calibration-based tool condition monitoring for repetitive machining operations.” Journal of Manufacturing Systems 54 (2020): 285-293.
• Guo, Hong, Fanghua Chen, Rui Liu, and Patricia Iglesias. “Lubricating Ability of Magnesium Silicate Hydroxide-Based Nanopowder as Lubricant Additive in Steel-Steel and Ceramic-Steel Contacts.” Tribology Transactions 63, no. 4 (2020): 585-596.
• Li, Zhixiong, Rui Liu, and Dazhong Wu. “Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning.” Journal of Manufacturing Processes 48 (2019): 66-76.
• Kothuru, Achyuth, Sai Prasad Nooka, and Rui Liu. “Application of deep visualization in CNN-based tool condition monitoring for end milling.” Procedia Manufacturing 34 (2019): 995-1004.
• Kothuru, Achyuth, Sai Prasad Nooka, and Rui Liu. “Audio-based tool condition monitoring in milling of the workpiece material with the hardness variation using support vector machines and convolutional neural networks.” Journal of Manufacturing Science and Engineering 140, no. 11(2018).
• Kothuru, Achyuth, Sai Prasad Nooka, and Rui Liu. “Application of audible sound signals for tool wear monitoring using machine learning techniques in end milling.” The International Journal of Advanced Manufacturing Technology 95, no. 9-12 (2018): 3797-3808.
• Liu, Rui, Elijah Eaton, Mendy Yu, and Jason Kuang. “An investigation of side flow during chip formation in orthogonal cutting.” Procedia Manufacturing 10 (2017): 568-577.
• Melkote, Shreyes N., Rui Liu, Patxi Fernandez-Zelaia, and Troy Marusich. “A physically based constitutive model for simulation of segmented chip formation in orthogonal cutting of commercially pure titanium.” Cirp Annals 64, no. 1 (2015): 65-68.
• Liu, Rui, Meisam Salahshoor, Shreyes N. Melkote, and Troy Marusich. “A Unified Material Model Including Dislocation Drag and Its Application to Simulation of Orthogonal Cutting of OFHC Copper”, Journal of Materials Processing Technology, Vol. 216(2015): 328-338.
• Liu, Rui, Meisam Salahshoor, Shreyes N. Melkote, and Troy Marusich. “The prediction of machined surface hardness using a new physics-based material model.” Procedia CIRP 13 (2014): 249-256.
• Liu, Rui, Meisam Salahshoor, Shreyes N. Melkote, Troy Marusich. “A Unified Internal State Variable Model for Inelastic Deformation and Microstructure Evolution in SS304”, Materials Science and Engineering: A., Vol. 594 (2014): 352-363.
• Liu, Rui, Shreyes N. Melkote, Raghuram Pucha, John Morehouse, Xiaolin Man, Troy Marusich. “An Enhanced Constitutive Material Model for Machining of Ti–6Al–4V Alloy”, Journal of Materials Processing Technology, Vol. 213(2013): 2238-3346.
• Bao, Mengdi, Shuhuan Zhang, Chad ten Pas, Stephen J. Dollery, Ruth V. Bushnell, Rui Liu, Guoyu Lu, Gregory J. Tobin, and Ke Du. "A simple, pipette-free, and power-free device for virus nucleic acid detection." In Frontiers in Biological Detection: From Nanosensors to Systems XV, vol. 12397, pp. 25-27. SPIE, 2023.
• Liu, Rui, Andrew Greeley, Shuhuan Zhang, Denis Cormier, and Patricia Iglesias Victoria. "Effect of Inherently Porous Structure Produced by Metal Fused Filament Fabrication on the Tribological Behavior of Lubricated Steel-Steel Contact." In International Manufacturing Science and Engineering Conference, vol. 85802, p. V001T04A014. American Society of Mechanical Engineers, 2022.
• Ryan, Matt, Yiwen Wang, Qinqin Xiao, Rui Liu, and Yunbo Zhang. "Immersive Virtual Reality Training With Error Management for CNC Milling Set-Up." In International Manufacturing Science and Engineering Conference, vol. 85819, p. V002T06A027. American Society of Mechanical Engineers, 2022.
• Jarosz, Krzysztof, Yunbo Zhang, and Rui Liu. "Investigating the Role of Auditory Perception of Cutting Process Conditions in CNC Machining." In International Manufacturing Science and Engineering Conference, vol. 85819, p. V002T06A028. American Society of Mechanical Engineers, 2022.
• Zhang, Shuhuan, and Rui Liu. "An Investigation of Chipping Propagation on Carbide Tool in End Milling for Prototyping." In International Manufacturing Science and Engineering Conference, vol. 85819, p. V002T05A057. American Society of Mechanical Engineers, 2022.
• Stuhr, Benjamin and Rui Liu. “A Flexible Similarity-Based Algorithm for Tool Condition Monitoring.” ASME International Manufacturing Science and Engineering Conference, Virtual Conference, USA, 2021.
• Liu, Rui. “A Novel Edge Computing Based Architecture for Intelligent Tool Condition Monitoring.” ASME International Manufacturing Science and Engineering Conference, Virtual Conference, USA, 2020.
• Kothuru, Achyuth, Sai Prasad Nooka, and Rui Liu, “Application of Deep Visualization in CNN-Based Tool Condition Monitoring for End Milling”, Proceedings of the North American Manufacturing Research Institution of SME, NAMRC 47, Pennsylvania, USA, 2019
• Alzahrani, Abdullah M., Rui Liu, and Jason R. Kolodziej, “Acoustic Assessment of an End Mill for Analysis of Tool Wear”, Annual Conference of the Prognostics and Health Management Society, Philadelphia, Pennsylvania, USA, 2018.
• Kothuru, Achyuth, Sai Prasad Nooka, and Rui Liu. “Audio-Based Condition Monitoring in Milling of The Workpiece Material with The Hardness Variation Using Support Vector Machines and Convolutional Neural Networks”, ASME International Manufacturing Science and Engineering Conference, College Station, Texas, USA, 2018.
• Kothuru, Achyuth, Sai Prasad Nooka, Patricia Iglesias Victoria, and Rui Liu. “Application of audible sound signals for tool wear monitoring and workpiece hardness identification in gear milling using machine learning techniques.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 58240, p. V010T11A030. American Society of Mechanical Engineers, 2017.
• Guo, Hong, Rui Liu, Alfonso Fuentes-Aznar, and Patricia Iglesias Victoria. “Friction and wear properties of halogen-free and halogen-containing ionic liquids used as neat lubricants, lubricant additives and thin lubricant layers.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 58240, p. V010T11A041. American Society of Mechanical Engineers, 2017.
• Kothuru, Achyuth, Sai Prasad Nooka, and Rui Liu. “Cutting Process Monitoring System Using Audible Sound Signals and Machine Learning Techniques: An Application to End Milling.” ASME International Manufacturing Science and Engineering Conference, Los Angeles, CA, USA, 2017.
• Liu, Rui, Elijah Eaton, Mendy Yu, and Jason Kuang. “An Investigation of Side Flow during Chip Formation in Orthogonal Cutting”, Proceedings of the North American Manufacturing Research Institution of SME, Los Angeles, CA, USA, 2017.
• Stringer, Brian, Rui Liu, Alfonso Fuentes Aznar, and Patricia Iglesias. “Effect of Cutting Conditions on Dimensional Accuracy and Surface Roughness in Traditional Milling of Steel”, ASME International Mechanical Engineering Congress & Exposition, Phoenix, Arizona, 2016.
• Liu, Rui, Meisam Salahshoor, Shreyes N. Melkote, Jayanti Subramaniam, and Troy Marusich. “A Unified Approach to Model Material Behavior and Microstructure Evolution in Machining OFHC Copper”, ASME International Manufacturing Science and Engineering Conference, Detroit, Michigan, USA, 2014.
• Liu, Rui, Hamid Nayeb-Hashemi, Masoud Olia, and Ashkan Vaziri. “On Transverse Vibrations of Functionally Graded Rotating Hollow Disk”, ASME 2010 International Mechanical Engineering Congress & Exposition, British Columbia, Canada, 2010.
• Liu, Rui, Hamid Nayeb-Hashemi, “Vibration Response of Functionally Graded Rotating Disk with a Circumferential Crack”, ASME 2010 International Mechanical Engineering Congress & Exposition, British Columbia, Canada, 2010.
• R. Liu, "Calibration-Based Tool Condition Monitoring System for Repetitive Machining Operations." U.S. Patent Application No. 17/291,783.
• R. Liu, S.N. Melkote, J. Morehouse, R.V. Pucha, “Constitutive Material Model Subroutines for Flow Stress Determination in Ti-6Al4V To Be Used in Third Wave Systems AdvantEdge software”, Invention disclosure submitted to the Georgia Institute of Technology.