Mechanical Engineering

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

  • LIU Qingtao ,
  • YU Panyu ,
  • GUO Jiongqi ,
  • YIN Enhuai ,
  • YANG Pengtao ,
  • Lü Jingxiang
Expand
  • 1.Key Laboratory of Road Construction Technology and Equipment of the Ministry of Education,Chang’an University,Xi’an 710064,Shaanxi,China
    2.Xi’an Ruite 3D Technology Co. ,Ltd. ,Xi’an 710068,Shaanxi,China

Received date: 2024-03-27

  Online published: 2025-08-11

Supported by

the National Key Research and Development Program of China(2022YFB4602800)

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 colla-borative control strategy effectively improves the printing quality for complex trajectories, offering a novel technical solution to high-precision additive manufacturing of electronic devices.

Cite this article

LIU Qingtao , YU Panyu , GUO Jiongqi , YIN Enhuai , YANG Pengtao , Lü Jingxiang . A Collaborative Control Method for Inkjet Printing Accuracy of Electronic Additive Manufacturing[J]. Journal of South China University of Technology(Natural Science), 2026 , 54(1) : 94 -103 . DOI: 10.12141/j.issn.1000-565X.250084

References

[1] 朱东彬,吴民强,王竹贤,等 .基于微滴喷射3D打印的纳米颗粒悬浮墨水稳定喷射研究[J].机械工程学报202056(9):243-251.
  ZHU Dongbin, WU Minqiang, WANG Zhuxian,et al .Study on stable jetting of nanoparticle suspension ink in droplet-based 3D printing[J].Journal of Mechanical Engineering202056(9):243-251.
[2] CAREY T, ARBAB A, ANZI L,et al .Inkjet printed circuits with 2D semiconductor inks for high‐performance electronics[J].Advanced Electronic Materials20217(7):2100112/1-10.
[3] WANG Y, GUO H, CHEN J,et al .Based inkjet-printed flexible electronic circuits[J].ACS Applied Materials & Interfaces20168(39):26112-26118.
[4] BEEDASY V, SMITH P J .Printed electronics as prepared by inkjet printing[J].Materials202013(3):704/1-23.
[5] GAO M, LI L, SONG Y .Inkjet printing wearable electronic devices[J].Journal of Materials Chemistry C20175(12):2971-2993.
[6] CALVERT P .Inkjet printing for materials and devices[J].Chemistry of Materials200113(10):3299-3305.
[7] YAN K, LI J, PAN L,et al .Inkjet printing for fle-xible and wearable electronics[J].APL Materials20208(12):120705/1-23.
[8] STOPP S, WOLFF T, IRLINGER F,et al .A new method for printer calibration and contour accuracy manufacturing with 3D‐print technology[J].Rapid Prototyping Journal200814(3):167-172.
[9] 刘清涛,魏栋杰,杨鹏涛,等 .基于在机测量的曲面共形电路3D打印误差补偿方法[J].仪器仪表学报202445(4):66-74.
  LIU Qingtao, WEI Dongjie, YANG Pengtao,et al .Error compensation method for 3D printing of curved conformal circuits based on on-machine measurement[J].Chinese Journal of Scientific Instrument202445(4):66-74.
[10] HONG R, ZHANG L, LIFTON J,et al .Artificial neural network-based geometry compensation to improve the printing accuracy of selective laser melting fabricated sub-millimetre overhang trusses[J].Additive Manufacturing202137:101594/1-12.
[11] LEE E, CHOI Y M, LEE S H,et al .Enhancement of printing overlay accuracy by reducing the effects of mark deformations[J].Microelectronic Engineering2017180:8-14.
[12] WANG H, HASEGAWA Y .Multi-objective optimization of actuation waveform for high-precision drop-on-demand inkjet printing[J].Physics of Fluids202335(1):013318/1-36.
[13] 莫海军,梁道明,林晨彬,等 .3D打印速度对铸造蜡成型翘曲变形的影响[J].华南理工大学学报(自然科学版)202452(6):81-88.
  MO Haijun, LIANG Daoming, LIN Chenbin,et al .Effect of 3D printing speed on warpage deformation of casting wax forming[J].Journal of South China University of Technology (Natural Science Edition)202452(6):81-88.
[14] LIU N, SHENG X, Zhang M,et al .Squeeze-type piezoelectric inkjet printhead actuating waveform design method based on numerical simulation and experiment[J].Micromachines202213(10):1695/1-14.
[15] CAO L, GONG S, TAO Y,et al .Optimizing dispensing performance of needle-type piezoelectric jet dispensers:a novel drive waveform approach[J].Smart Materials and Structures202433(4):045001/1-14.
[16] TAMIR T S, XIONG G, Fang Q,et al .Machine-learning-based monitoring and optimization of processing parameters in 3D printing[J].International Journal of Computer Integrated Manufacturing202336(9):1362-1378.
[17] WANG X, CAO J, CAO Y .A new multiobjective optimization adaptive layering algorithm for 3D printing based on demand-oriented[J].Rapid Prototyping Journal202329(2):246-258.
[18] ZHU H, LI S, ZHU R,et al .Residual vibration suppression of piezoelectric inkjet printing based on particle swarm optimization algorithm[J].Micromachines202415(10):1192/1-13.
[19] SUN J, BAO B, HE M,et al .Recent advances in controlling the depositing morphologies of inkjet droplets[J].ACS Applied Materials & Interfaces20157(51):28086-28099.
[20] CHEN H, CHENG T, LI Z,et al .Is high-speed powder spreading really unfavourable for the part quality of laser powder bed fusion additive manufacturing?[J].Acta Materialia2022231:117901/1-15.
Outlines

/