Synthesis of ultrasonic frequency generator in automatic control system of vibration cutting process

Imran  Yolchuyev; Toghrul  Karimli; Aftandil  Mammadov

doi:10.59400/sv4079

Synthesis of ultrasonic frequency generator in automatic control system of vibration cutting process

Imran Yolchuyev
Department of Mechatronics, Faculty of Mechanical Engineering and Robotics, Azerbaijan Technical University, Baku 1073, Azerbaijan
Toghrul Karimli
Department of Avionics, Faculty of Air Transport, National Aviation Academy, Baku 1045, Azerbaijan
Aftandil Mammadov
Department of Avionics, Faculty of Air Transport, National Aviation Academy, Baku 1045, Azerbaija

Article ID: 4079

DOI: https://doi.org/10.59400/sv4079

Keywords: vibration cutting process; ultrasonic frequency generator; oscillatory system; natural frequency; simulation

Abstract

The article analyzes the characteristic features of the vibration cutting process with ultrasonic frequency (UF), which is one of the most effective methods that reduces labor costs and improves their quality and reliability during the mechanical processing of particularly hard and brittle materials. To stabilize the amplitude and frequency, changing as a result of changing the resonant frequency of the vibrator-concentrator-part (VCP) oscillatory system during processing, linear and relay-type generators are proposed that operate on the basis of excitation of the natural frequency of the mechanical vibration system VCP, and these generators are modeled and synthesized using MATLAB/Simulink. With the development of modern machinery and technology, new materials with improved mechanical properties are created, on the basis of which critical parts are manufactured, where high accuracy, quality, and reliability indicators are required. In the machining process, to stabilize the amplitude and frequency, which change as a result of the change in the resonant frequency of the vibrator-concentrator-part (VCP) oscillatory system, generators of the linear and relay type are proposed, which work on the basis of the excitation of the own frequency of the mechanical vibration system of the VCP. These generators are modeled and synthesized in MATLAB/Simulink. The obtained mathematical models and curves of the transition process show that, despite the change in the disturbing factor when the coefficient of friction is changed, conservatism is ensured, as a result of which there is an opportunity to improve the quality of surfaces machining of parts.

Published

2026-06-17

How to Cite

Yolchuyev, I., Karimli, T., & Mammadov, A. (2026). Synthesis of ultrasonic frequency generator in automatic control system of vibration cutting process. Sound & Vibration, 60(3). https://doi.org/10.59400/sv4079

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Issue

Vol. 60 No. 3 (2026)

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Article

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

[1]Abramov OV, Khorbenko IG, Shvegla S. Ultrasonic Processing of Materials. Mechanical Engineering; 1984. (in Russian)

[2]Golyamina IP. Ultrasound: A Little Encyclopedia. Soviet Encyclopedia; 1979. (in Russian)

[3]Agranata BA, Ultrasound Technology. Mechanical Engineering; 1974. (in Russian)

[4]Korytin A, Petrov N, Radimov S, et al. Automation of Standard Technological Processes and Installations. Energoatomizdat; 1988. (in Russian)

[5]Peng Z, Han A, Wang C, et al. Ultrasonic vibration cutting of advanced aerospace materials: A critical review of in-service functional performance. Journal of Intelligent Manufacturing and Special Equipment. 2024; 5(1): 137–169. doi: 10.1108/JIMSE-12-2023-0016

[6]Kumabe D. Vibration Cutting. Mechanical Engineering; 1985. (in Russian)

[7]Patel S, Liu Y, Siddique Z, et al. Metal additive manufacturing: Principles and applications. Journal of Manufacturing Processes. 2024; 131: 1179–1201. doi: 10.1016/j.jmapro.2024.09.101

[8]Fu Y, Downey ARJ, Yuan L, et al. Real-time structural validation for material extrusion additive manufacturing. Additive Manufacturing. 2023; 65: 103409. doi: 10.1016/j.addma.2023.103409

[9]Liu S, Li C, Jin X, et al. Quantitative-regulated material removal rate in solid dielectric electrochemical polishing (QRR-SDEP) for smoothing high roughness surface of additively manufactured 316L stainless steel components. Additive Manufacturing. 2023; 73: 103689. doi: 10.1016/j.addma.2023.103689

[10]Rahman MA, Ahmed A, Mia M. Trends in electrical discharge machining of Ti- and Ni-based superalloys: Macro-micro-compound arc/spark/melt process. In: Micro Electro-Fabrication. Elsevier; 2021. pp. 63–87. doi: 10.1016/B978-0-12-820049-0.00006-2

[11]Boban J, Ahmed A. Electric discharge aided surface post-treatment of laser powder bed fused non-planar metallic components for enhanced form accuracy. Journal of Manufacturing Processes. 2024; 109: 564–582. doi: 10.1016/j.jmapro.2023.12.028

[12]Manco E, Scherillo F, Franchitti S, et al. Improving Surface Quality and Fatigue Life of Electron Beam Melted Ti6Al4V by Chemical Machining. Journal of Materials Engineering and Performance. 2024; 33(5): 2552–2561. doi: 10.1007/s11665-023-08865-7

[13]Yuan J, Xiao H, Wang Y, et al. Ultrasonic welding process and strategies for performance regulation of Fiber reinforced thermoplastic composites: A review. Journal of Manufacturing Processes. 2026; 157: 531–553. doi: 10.1016/j.jmapro.2025.11.084

[14]Liu J, Quan D, Scarselli G, et al. Developments and future prospects of welding technology for carbon fiber thermoplastic composites. Composites Part B: Engineering. 2025; 297: 112314. doi: 10.1016/j.compositesb.2025.112314

[15]Al Mahmoud Z, Asmael M, Ahmad R, et al. Recent developments in ultrasonic welding of similar and dissimilar joints of carbon fiber reinforcement thermoplastics with and without interlayer: A state-of-the-art review. Reviews on Advanced Materials Science. 2025; 64(1): 20240077. doi: 10.1515/rams-2024-0077

[16]Ni Z, Han B, Nazarov AA, et al. Enhanced formation quality and mechanical properties of ultrasonic spot welding of TA2 Ti sheets by pure Al coating. Journal of Manufacturing Processes. 2025; 156: 1–16. doi: 10.1016/j.jmapro.2025.10.084

[17]Bautin V, Bulanova S, Enik T, et al. Ultrasonic welding technology for future Straw Trackers and performance studies with small-size tracker prototypes. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2026; 1081: 170767. doi: 10.1016/j.nima.2025.170767

[18]Markov AI. Ultrasonic Cutting of Difficult-To-Cut Materials. Mechanical Engineering; 1968. (in Russian)

[19]Mal’tsev AA, Maslennikov RO, Khoryaev AV, et al. Adaptive active noise and vibration control systems. Acoustical Physics. 2005; 51(2): 195–208. doi: 10.1134/1.1884495

[20]Khorbenko I. Ultrasound in Mechanical Engineering. Mechanical Engineering; 1974. (in Russian)

[21]Khmelev VN, Barsukov RV, Barsukov V, et al. System of phase-locked-loop frequency control of ultrasonic generators. In: Proceedings of the 2nd Siberian Russian Workshops EDM2001; 3–4 July 2001; Erlagol, Russia. pp. 56–57. doi: 10.1109/SREDM.2001.939147

[22]Zhao Q, Guo X, Wang H, et al. Effects of ultrasonic vibration cutting trajectories on chip formation of tungsten alloys. Journal of Manufacturing Processes. 2023; 92: 147–156. doi: 10.1016/j.jmapro.2023.02.053

[23]Lu H, Zhu L, Yang Z, et al. Research on the generation mechanism and interference of surface texture in ultrasonic vibration assisted milling. International Journal of Mechanical Sciences. 2021; 208: 106681. doi: 10.1016/j.ijmecsci.2021.106681

[24]Fang B, Yuan Z, Li D, et al. Effect of ultrasonic vibration on finished quality in ultrasonic vibration assisted micromilling of Inconel718. Chinese Journal of Aeronautics. 2021; 34(6): 209–219. doi: 10.1016/j.cja.2020.09.021

[25]Xu J, Feng P, Feng F, et al. Subsurface damage and burr improvements of aramid fiber reinforced plastics by using longitudinal–torsional ultrasonic vibration milling. Journal of Materials Processing Technology. 2021; 297: 117265. doi: 10.1016/j.jmatprotec.2021.117265

[26]Zhang B, Wang F, Fan J, et al. Simulation and experimental analysis on influences of axial cutting-induced vibration on edge trimming quality of Carbon Fiber Reinforced Plastics. Journal of Manufacturing Processes. 2021; 68: 632–645. doi: 10.1016/j.jmapro.2021.05.067

[27]Zhang C, Shi G, Ehmann KF. Investigation of hybrid micro-texture fabrication in elliptical vibration-assisted cutting. International Journal of Machine Tools and Manufacture. 2017; 120: 72–84. doi: 10.1016/j.ijmachtools.2017.04.009

[28]Sajjady SA, Nouri Hossein Abadi H, Amini S, et al. Analytical and experimental study of topography of surface texture in ultrasonic vibration assisted turning. Materials & Design. 2016; 93: 311–323. doi: 10.1016/j.matdes.2015.12.119

[29]Yip WS, To S, Sun Z. Hybrid ultrasonic vibration and magnetic field assisted diamond cutting of titanium alloys. Journal of Manufacturing Processes. 2021; 62: 743–752. doi: 10.1016/j.jmapro.2020.12.037

[30]Soni R, Verma R, Kumar Garg R, et al. A critical review of recent advances in the aerospace materials. Materials Today: Proceedings. 2024; 113: 180–184. doi: 10.1016/j.matpr.2023.08.108

[31]Lei X, Wang R, Ding W, et al. Ultrasonic cutting of aerospace difficult-to-cut alloys: Current status and prospects. Journal of Manufacturing Processes. 2025; 142: 191–221. doi: 10.1016/j.jmapro.2025.03.103

[32]Ni C, Zhu L, Liu C, et al. Analytical modeling of tool-workpiece contact rate and experimental study in ultrasonic vibration-assisted milling of Ti–6Al–4V. International Journal of Mechanical Sciences. 2018; 142–143: 97–111. doi: 10.1016/j.ijmecsci.2018.04.037

[33]Yolchuyev I, Karimli T, Aliyev S. Simulation of an Ultrasonic Generator with Excitation of the Natural Frequency of a Mechanical Vibration System During the Vibration Cutting Process. In: Research and Updates on the Use of Artificial Intelligence in Drone Technology, Sustainable Aviation. Springer Nature; 2026. pp. 161–165. doi: 10.1007/978-3-032-07678-6_29

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