Optimal design of a high-temperature ultrasonic vibration device

Lanphuong Nguyen
School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi 100000, Vietnam
Chinghua Hung
Department of Mechanical Engineering, National Yang Ming Chiao Tung University, Hsinchu City 300093, Taiwan

Article ID: 4311

Keywords: ultrasonic vibration device, high temperature, finite element analysis, optimal design, amplitude uniformity, resonance frequency

Abstract

Ultrasonic vibration-assisted manufacturing has emerged as a transformative method for machining hard-to-machine advanced materials. However, implementing these systems in precision high-temperature manufacturing processes like hot glass embossing introduces significant technical challenges due to severe thermal frequency drift and a degradation in output displacement uniformity. This study addresses these issues by presenting a comprehensive multi-physics numerical optimization framework for a 35 kHz high-temperature ultrasonic vibration device. Utilizing a coupled-field Finite Element Analysis (FEA) methodology in ANSYS, the steady-state thermal profile and its corresponding thermo-structural impact on the system’s resonant frequencies and vibration characteristics were accurately modeled and verified. Shape optimization was executed through an automated coupling loop between the FEA workspace and the advanced numerical optimization platform, SmartDO. The results demonstrate that the optimization scheme successfully established a refined horn geometry that accommodates thermal degradation effects. Experimental validation conducted at an operating temperature of 500 °C confirmed that the optimized design maintained structural deviations within a narrow, manageable resonance window (84–99 Hz) while significantly improving output surface displacement distribution. The finalized device achieved an exceptional experimental amplitude uniformity of 8.20%, which matches the numerical simulation trend closely.

Published

2026-07-21

How to Cite

Nguyen, L., & Hung, C. (2026). Optimal design of a high-temperature ultrasonic vibration device . Sound & Vibration, 60(4). https://doi.org/10.59400/sv4311

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Vol. 60 No. 4 (2026)

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Article

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

References

[1]Li H, Chen T, Bie W, et al. Multi-Step Two-Dimensional Ultrasonic-Assisted Grinding of Silicon Carbide: An Experimental Study on Surface Topography and Roughness. Micromachines. 2024; 15(7): 915. doi: 10.3390/mi15070915

[2]Jin J, Mao J, Wang R, et al. Experimental Study on Ultrasonic Vibration-Assisted Grinding of SiCp/Al Composites Grinding. Micromachines. 2025; 16(3): 302. doi: 10.3390/mi16030302

[3]Liu C, Zhang Y, Zhu L, et al. A Review of Ultrasonic Vibration-Assisted Grinding for Advanced Materials. Intelligent and Sustainable Manufacturing. 2025; 2(1): 10001. doi: 10.70322/ism.2025.10001

[4]Yin P, Li W, Xu C, et al. Influence of Single-Sided Ultrasonic Assistance on the Double-Sided Welding Forming Quality of Q355 Thin Plates. Metals. 2026; 16(1): 58. doi: 10.3390/met16010058

[5]Liang H, Shi X, Li Y. Effect of Ultrasonic Assistance on Properties of Ultra-High-Strength Steel in Laser-Arc Hybrid Welding. Coatings. 2025; 15(4): 389. doi: 10.3390/coatings15040389

[6]Ma C, Liu Y, Li H, et al. Ultrasonic assisted additive manufacturing of Al–Mg alloys: Microstructure refinement and mechanical improvement through meltable ultrasonic probe. Journal of Materials Processing Technology. 2026; 351: 119278. doi: 10.1016/j.jmatprotec.2026.119278

[7]Liu S, Dung Y. Hot embossing precise structure onto plastic plates by ultrasonic vibration. Polymer Engineering & Science. 2005; 45(7): 915–925. doi: 10.1002/pen.20357

[8]Hung JC, Hung C. The influence of ultrasonic-vibration on hot upsetting of aluminum alloy. Ultrasonics. 2005; 43(8): 692–698. doi: 10.1016/j.ultras.2005.03.001

[9]Nguyen L. Elimination of air entrapment in microstructures glass embossing process using ultrasonic vibration. Solid State Technology. 2020; 63(6): 4539–4548. Available online: https://solidstatetechnology.us/index.php/JSST/article/view/3841

[10]Yu SW, Du N, Gu B, et al. Thermal Effects on Fracture of Piezoelectric Materials. Journal of Intelligent Material Systems and Structures. 2005; 16(7–8): 567–572. doi: 10.1177/1045389X05051074

[11]Baptista F, Budoya D, Almeida V, et al. An Experimental Study on the Effect of Temperature on Piezoelectric Sensors for Impedance-Based Structural Health Monitoring. Sensors. 2014; 14(1): 1208–1227. doi: 10.3390/s140101208

[12]Sun X, Xing W. Fractal model of thermal contact conductance of rough surfaces based on elliptical asperity. Industrial Lubrication and Tribology. 2023; 75(4): 424–431. doi: 10.1108/ILT-02-2023-0035

[13]Zhao Y, Fang C, Cai L, et al. A three-dimensional fractal theory based on thermal contact conductance model of rough surfaces. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 2018; 232(5): 528–539. doi: 10.1177/0954408917727198

[14]Sun X. Fractal model of thermal contact conductance of rough surfaces considering substrate deformation. Industrial Lubrication and Tribology. 2023; 75(8): 895–903. doi: 10.1108/ILT-03-2023-0074

[15]Afshari M, Arezoo B. Design of wide ultrasonic horns based on topology optimization. Engineering Optimization. 2022; 54(6): 907–927. doi: 10.1080/0305215X.2021.1901285

[16]Schmidt S, Wadbro E, Berggren M. Large-Scale Three-Dimensional Acoustic Horn Optimization. SIAM Journal on Scientific Computing. 2016; 38(6): B917–B940. doi: 10.1137/15M1021131

[17]Dong H, Shen Y, Gao H. Shape optimization of acoustic horns using the multimodal method. The Journal of the Acoustical Society of America. 2020; 147(4): EL326–EL332. doi: 10.1121/10.0001037

[18]Dong H, Doc JB, Félix S. Efficient multimodal-based shape optimization of acoustic horns with application to subwavelength perfect transmission. Journal of Sound and Vibration. 2023; 559: 117746. doi: 10.1016/j.jsv.2023.117746

[19]Mubashir M, Mutahir R, Ur Rehman MS. Design and Analysis of Hollow Catenoidal Horn Profile for Ultrasonic Machining of Composite Materials. Journal of Studies in Science and Engineering. 2022; 2(2): 18–32. doi: 10.53898/josse2022222

[20]Addamo G, Scalcinati L, Zannoni M, et al. Feasibility Study on Additive Manufacturing of Feed Horn Operating in D-Band. Sensors. 2025; 25(2): 523. doi: 10.3390/s25020523

[21]Wada Y, Nakamura K. Topology optimization of large ultrasonic tools for uniform vibration using level-set method. Japanese Journal of Applied Physics. 2025; 64(3): 03SP34. doi: 10.35848/1347-4065/adb296

[22]Your Piezo Experts. Available online: www.piezo.com (accessed on 12 January 2026).

[23]BEK Ultrasonic. Available online: www.bekultrasonics.com (accessed on 12 January 2026).

[24]Zhendong, Z. Ultrasonic Engineering, 1st ed. Quanhua Science and Technology Book Co., Ltd.; 1999.

[25]Amin SG, Ahmed MHM, Youssef HA. Computer-aided design of acoustic horns for ultrasonic machining using finite-element analysis. Journal of Materials Processing Technology. 1995; 55(3–4): 254–260. doi: 10.1016/0924-0136(95)02015-2

[26]Elevated temperature physical properties of stainless steels. Available online: https://bssa.org.uk/bssa_articles/elevated-temperature-physical-properties-of-stainless-steels/ (accessed on 12 January 2026).

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