Jet-on-demand metal forming technique utilizing forced vibration of the jetting tube

Current drop-on-demand metal jetting technologies provide precise control over the start and stop of jetting, as well as the exact number of droplets ejected. However, these methods are generally constrained by low jetting frequencies. Conversely, continuous jetting technologies can achieve significantly higher jetting frequencies but lack the capability to precisely regulate the start and stop of jetting, as well as the exact number of droplets. To address the limitations of existing metal droplet jetting techniques, this study introduces a novel high-frequency jet-on-demand jetting approach utilizing the forced vibration of the jet tube. By inducing high-frequency forced vibration along the axial direction of the jet tube, molten metal within the tube is ejected at the same frequency, facilitating precise and efficient droplet formation. The proposed jetting method achieves start times of less than 9 ms, significantly shorter than those of conventional continuous-flow jetting techniques controlled by back pressure. Furthermore, the harmonic characteristics of the forced vibration effectively eliminate residual oscillations from single excitations, enabling a significant enhancement in jetting frequency. Experimental results confirm that stable and uniform jetting can be achieved across a range of forced vibration frequencies, with jetting frequencies reaching up to 5 kHz. Forming experiments further validate the superiority of this method over conventional drop-on-demand jetting techniques, demonstrating significantly higher forming efficiency and producing metal components with enhanced mechanical properties.

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Publication Details

Journal
Physics of Fluids
Published
2025-04-01
DOI
https://doi.org/10.1063/5.0260659
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00

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article

Jet-on-demand metal forming technique utilizing forced vibration of the jetting tube

Weiwei He, Xiaodi Zhao, Guofang Hu, Boce Xue et al.
Physics of Fluids
Fluid Dynamics and Heat Transfer
article

Jet-on-demand metal forming technique utilizing forced vibration of the jetting tube

Weiwei He, Xiaodi Zhao, Guofang Hu, Boce Xue, Yuyao Wu, Yanzhen Zhang, Yanqing Zhang, Bowen Xu, Runsheng Li, Fenglin Hao, Zihao Li
article en

Abstract

Current drop-on-demand metal jetting technologies provide precise control over the start and stop of jetting, as well as the exact number of droplets ejected. However, these methods are generally constrained by low jetting frequencies. Conversely, continuous jetting technologies can achieve significantly higher jetting frequencies but lack the capability to precisely regulate the start and stop of jetting, as well as the exact number of droplets. To address the limitations of existing metal droplet jetting techniques, this study introduces a novel high-frequency jet-on-demand jetting approach utilizing the forced vibration of the jet tube. By inducing high-frequency forced vibration along the axial direction of the jet tube, molten metal within the tube is ejected at the same frequency, facilitating precise and efficient droplet formation. The proposed jetting method achieves start times of less than 9 ms, significantly shorter than those of conventional continuous-flow jetting techniques controlled by back pressure. Furthermore, the harmonic characteristics of the forced vibration effectively eliminate residual oscillations from single excitations, enabling a significant enhancement in jetting frequency. Experimental results confirm that stable and uniform jetting can be achieved across a range of forced vibration frequencies, with jetting frequencies reaching up to 5 kHz. Forming experiments further validate the superiority of this method over conventional drop-on-demand jetting techniques, demonstrating significantly higher forming efficiency and producing metal components with enhanced mechanical properties.

Physics of FluidsVol. 37(4)
China University of Petroleum, East China (CN)
National Natural Science Foundation of China, Taishan Scholar Foundation of Shandong Province
Openalex Percentile: Top 92%
Fluid Dynamics and Heat Transfer
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