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

  • Tai, C.Y., Altintas, Y., 2026, “A physics-guided data driven method for sensorless measurement of cutting forces using CNC servo drive signals”, CIRP Annals, 75/1.
  • Su, P., Tai, C.Y. and Altintas, Y., 2025, “Hybrid neural network framework for predicting tool tip dynamics via receptance coupling”, CIRP Journal of Manufacturing Science and Technology, 63:566-581.
  • Abdar Esfahani, M., Karimi, B., Altintas, Y., 2025, “Neural network-based modeling of CNC machines trajectory generation”, The International Journal of Advanced Manufacturing Technology, Vol.139:4029-4043.
  • Ugras, R.C., Altintas, Y., 2025, “Optimization of Clamping Conditions in Thin-Walled Part Machining to Minimize Forced Vibrations, Part II: Dynamic Updating of Clamping Force and Location with Position Dependent Dynamics”, CIRP Journal of Manufacturing Science and Technology, Vol.61:128-138.
  • Ugras, R.C., Altintas, Y., 2025, “Optimization of Clamping Conditions in Thin-Walled Part Machining to Minimize Forced Vibrations, Part I: Model for the Single Tool–Workpiece Contact Location”, CIRP Journal of Manufacturing Science and Technology, Vol.61:103-113.
  • Altintas, Y., Abdar Esfahani, M., Karimi, B., Gatenby, O., 2025, “Cascaded FIR and Half-Sine Filter-Based Smooth Trajectory Generation Algorithm”, CIRP Annals, Vol.74/1:559-562.
  • 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, Z.M., 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., 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).
  • Tai, Chung-Yu, Altintas, Y., 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.
  • Tai, Chung-Yu, Altintas, Y., 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.
  • Tai, Chung-Yu, Altintas, Y., 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.
  • Bleicher, F., Biermann, D., Drossel, W.G., Moehring, H.C., Altintas, Y., 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, Altintas, Y., 2023, “A hybrid physics and data-driven model for spindle fault detection”, CIRP Annals, 72/1:397-400.
  • Nakagawa, J., Farahani, N.D., Altintas, Y., 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, 44:82-90.
  • Schmitz, T., Betters, E., Budak, E., Yüksel, E., Park, S., Altintas, Y., 2023, “Review and status of tool tip frequency response function prediction using receptance coupling”, J. Precision Eng., vol.79:60-77.
  • Van Zyl, D., Altintas, Y., and Ostling, D., 2022, “Parametric design of boring bars with adaptive tuned mass dampers”, CIRP Journal of Manufacturing Science and Technology, 38:491-499.
  • Liu, Y.P., 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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