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Publishing Language: Chinese

A Collaborative Control Method for Inkjet Printing Accuracy of Electronic Additive Manufacturing

Qingtao LIU1Panyu YU1Jiongqi GUO1Enhuai YIN2Pengtao YANG1Jingxiang LÜ1( )
Key Laboratory of Road Construction Technology and Equipment of the Ministry of Education, Chang’an University, Xi’an 710064, Shaanxi, China
Xi’an Ruite 3D Technology Co., Ltd., Xi’an 710068, Shaanxi, China
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Abstract

Electronic additive manufacturing technology possesses significant application value in high-precision microelectronics manufacturing. However, the improvement of printing quality is always restricted by the droplet placement inaccuracies caused by speed fluctuations. To address this issue, a collaborative control strategy based on LinuxCNC, termed S-shaped speed planning + fixed-distance injection (SSP-FDI), was proposed. By optimizing the traditional trapezoidal speed algorithm in numerical control systems into an S-shaped speed algorithm, mechanical shock can be effectively reduced. Simultaneously, by adopting a fixed-distance triggering mode, the droplet spacing can be accurately controlled, thus mitigating the impact of speed fluctuations on placement accuracy. Moreover, an experimental platform integrating five-axis motion control and electronic inkjet printing technology was independently developed, and the corresponding control system was developed. Finally, comparative experiments involving multi-angle polylines and electrode printing were designed. The results demonstrate that, as compared with the traditional trapezoidal speed planning + fixed frequency injection (TSP-FFI) strategy, SSP-FDI strategy significantly reduces droplet placement errors. In a 20 mm × 20 mm rectangular electrode printing experiment with a substrate temperature of 100 ℃, the maximum surface roughness of compensated electrodes decreases to 6 µm. Across five substrate temperature groups, the surface roughness of printed samples shows an average reduction of 18.79%and an average resistivity reduction of 18.70%. These findings indicate that the proposed LinuxCNC-based collaborative control strategy effectively improves the printing quality for complex trajectories, offering a novel technical solution to high-precision additive manufacturing of electronic devices.

CLC number: TP23 Article ID: 1000-565X(2026)01-0094-10

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Journal of South China University of Technology (Natural Science Edition)
Pages 94-103

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Cite this article:
LIU Q, YU P, GUO J, et al. A Collaborative Control Method for Inkjet Printing Accuracy of Electronic Additive Manufacturing. Journal of South China University of Technology (Natural Science Edition), 2026, 54(1): 94-103. https://doi.org/10.12141/j.issn.1000-565X.250084

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Received: 27 March 2024
Published: 01 January 2026
© Journal of South China University of Technology(Natural Science Edition)