Yusuf Altintas

Yusuf Altintas

Professor

Ph.D. (McMaster); Hon. Dr. Ing. (Stuttgart); Dr.Cau.(Budapest), NSERC–P&WC-Sandvik Coromant Industrial Research Chair; Coordinator of Mechatronics Option at UBC; Fellow of NAE,  RSC, ACATECH, ASME, CIRP, SME, AvH, CAE, ISNM, and P&WC; Distinguished University Scholar

phone: (604) 822-5622
email: altintas@mech.ubc.ca
website:  Manufacturing Automation Laboratory
office: KAIS 3102
Selected Awards
  • Georg Schlesinger Award, 2016.
  • NSERC Strategic Research Network in Virtual Machining Grant, 2016.
  • NSERC Synergy Award, 2013.
  • Special Distinguished Scientist Award in Engineering and Science, Scientific and Technical Research Council of Turkey 2013.
  • The Blackall Machine Tool and Gage Award, ASME, 2013.

Research Interests

  • Modeling the mechanics, dynamics and chatter stability of Machining Processes
  • Design and Computer Numerical Control (CNC) Systems for Machine Tools
  • Motion Control and Trajectory Generation for 5 Axes Machine Tools
  • Design of Virtual High Performance Machining Simulation System
  • Design of fast tool servos, active and passive damping actuators for machine tools
  • Intelligent Machining Process Control and Monitoring algorithms for CNC Machine Tools

Current Research Work

  • Design of virtual high performance machining systems in CAD environment
  • Dynamics of high-speed milling for aerospace and die/mold industry
  • Virtual blade machining processes
  • Machine tool health monitoring
  • Reduced order multi-body dynamics of machine tools
  • Design of physics based digital twin for machining systems
  • 3D Ultrasonic vibration actuated tool holder design
  • Automated tuning of tuned dampers for boring bars
  • On-line chatter detection and avoidance
  • On line tool breakage and wear monitoring
  • Design of 3D printing process and machine controllers

Publications

  • Heydarnia, H., Altintas, Y., 2025, “Modeling of Ball Screw–Nut Interface Stiffness With Wear (Ball Screw Wear Dynamics”, Trans.ASME, J. Manufacturing Science and Eng. Vol: 147(2): 021005 (13 pages)
  • Ulular,E., Altintas, Y., Liljerehn, A., 2024, “Digital dynamic modeling and topology optimized design of shell face mills”, CIRP Journal of Manufacturing Science and Technology, Vol: 55:308-321
  • Lorain, R., Kilic, ZM, Valiorgue, F., Rech, J., Altintas, Y., 2024, “Identification of dynamic coefficient matrix for drilling process simulations from measured tool geometry, axial force and torque”, CIRP Journal of Manufacturing Science and Technology, vol.52:159-174.
  • Ugras,R .C., Altintas, Y., 2024, “Modeling and identification of clamping contact stiffness”, CIRP Journal of Manufacturing Science and Technology, 52, pp.264-276.
  • Attia, H., Sadek, A., Altintas, Y., Matsubara, A., Umbrello, D., Wegener, K., Eisseler, R., Ducobu, F. and Ghadbeigi, H., 2024, “Physics based models for characterization of machining performance–A critical review”. CIRP Journal of Manufacturing Science and Technology, 51, pp.161-189.
  • Pirbalouti, M.J.A., Altintas, Y. and Mayer, J.R.R., 2024. Digital Mapping of Machine Tool’s Volumetric and Tracking Errors Left on the Five Axis Tool Paths. J. Precision Engineering, vol. 88:815-822.
  • Karimi, B., Altintas, Y., 2024, “Optimal stock removal to reduce chatter and deflection errors for five-axis ball-end milling of thin-walled blades”, CIRP Annals Manufacturing Technology, CIRP Annals 73 (1)
  • Chung-Yu Tai, Y. Altintas, 2024, “A Physics-based Model-data-driven Method for Spindle Health Diagnosis, Part III: Model Training and Fault Detection”, Trans. ASME J. Manufacturing Science and Eng 1-41.
  • Chung-Yu Tai, Y. Altintas, 2024, “A Physics-based Model-data-driven Method for Spindle Health Diagnosis, Part II: Dynamic Simulation and Validation”, Trans. ASME J. Manufacturing Science and Eng, 1-54
  • Chung-Yu Tai, Y. Altintas, 2024, “A Physics-based Model-data-driven Method for Spindle Health Diagnosis, Part I: Modeling of Geometric Faults”. Trans. ASME, J. Manufacturing Science and Eng. 1-56
  • Bakhshandeh, P., Mohammadi, Y., Altintas, Y. and Bleicher, F., 2024. “Digital twin assisted intelligent machining process monitoring and control”. CIRP Journal of Manufacturing Science and Technology, 49, pp.180-190.
  • Mammadov, B., Mohammadi, Y., Farahani, N.D. and Altintas, Y., 2024. “A unified FFT-based mechanistic force coefficient identification model for isotropic and anisotropic materials”. CIRP Journal of Manufacturing Science and Technology, 49, pp.216-229.
  • F Bleicher, D Biermann, WG Drossel, HC Moehring, Y Altintas, 2023, “Sensor and actuator integrated tooling systems”, CIRP Annals, vol.2:673-696.
  • Karimi, B., Altintas, Y., 2023, “Chatter Avoidance by Spindle Speed and Orientation Planning in Five-Axis Ball-End Milling of Thin-Walled Blades”, Trans. ASME, J. Manufacturing Science and Eng., vol. 146(2): 021006 (13 pages)
  • Karimi, B., Altintas, Y., 2023, “Virtual Dynamics Model for Five-Axis Machining of Thin-Walled Blades”, Trans. ASME, J. Manufacturing Science and Eng., vol. 146(2): 021002 (15 pages)
  • Tai, Chung-Yu, and Yusuf Altintas, 2023, “A hybrid physics and data-driven model for spindle fault detection.” CIRP Annals, 72/1:397-400.
  • Junichi Nakagawa, Nima Dabiri Farahani, Yusuf Altintas, 2023, “Identification and effect of chip shear band on chatter vibration in the turning of Nickel Alloy 718.” CIRP Journal of Manufacturing Science and Technology, 44 (2023): 82-90.
  • T Schmitz, E Betters, E Budak, E Yüksel, S Park, Y Altintas, 2023, “Review and status of tool tip frequency response function prediction using receptance coupling”, J. Precision Eng., vol.79:60-77.
  • Van Zyl, David, Yusuf Altintas, and Dan Ostling, 2022, “Parametric design of boring bars with adaptive tuned mass dampers.” CIRP Journal of Manufacturing Science and Technology 38:491-499.
  • Liu, Yen Po, Kilic, Z.M., Altintas, Y., 2022, “Monitoring of In-Process Force Coefficients and Tool Wear, CIRP Journal of Manufacturing Science and Technology,vol.38:105-119.
  • Huynh, H. N, Altintas, Y., 2022, “Multibody Dynamic Modeling of Five-Axis Machine Tool Vibrations and Controller”, CIRP Annals, vol. 71/1 :325-328.

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