High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control

Electrohydrodynamic (EHD) printing is a promising micro-nano manufacturing technology. However, the EHD printing process is susceptible to interferences like charge repulsion, electric field, airflow, and platform motion, leading to unstable jetting and nonuniform deposition morphology. In this paper, a double close-loop fuzzy control method based on jet image recognition and micro-current measurement was designed to monitor and control the EHD printing process. A closed-loop control based on the fuzzy control algorithm has been designed to monitor the EHD printing system by taking the feedback information from micro-current and jet image. The experimental results show that the closed-loop control significantly improved the uniformity and stability of the fiber deposition. The volatility percentage of the current decreased from 34% to 12%, the fluctuation range of the fiber diameter was reduced from 35 μm to 15 μm, and the volatility percentage of the fiber spacing decreased from 29% to 9.5%. Additionally, the closed-loop control accelerated the response speed of jet mode conversion. Ineffective deposition of printing jet on the collection plate was shortened from 5 s to 2.2 s. This feedback control optimises the printing quality of micro-nano structures, promoting the advancement of high-resolution additive manufacturing applications.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-07-16
DOI
https://doi.org/10.1038/s41598-025-11791-4
Citations
3
Primary Topic
Electrohydrodynamics and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control

Yiman Chen, Huangping Yan, Shufan Li, Huatan Chen et al.
3 citations
Scientific Reports
Electrohydrodynamics and Fluid Dynamics
2.19
article

High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control

Yiman Chen, Huangping Yan, Shufan Li, Huatan Chen, Yifang Liu, Xiang Cheng, Gaofeng Zheng, Junyu Chen
article en
3 citations

Abstract

Electrohydrodynamic (EHD) printing is a promising micro-nano manufacturing technology. However, the EHD printing process is susceptible to interferences like charge repulsion, electric field, airflow, and platform motion, leading to unstable jetting and nonuniform deposition morphology. In this paper, a double close-loop fuzzy control method based on jet image recognition and micro-current measurement was designed to monitor and control the EHD printing process. A closed-loop control based on the fuzzy control algorithm has been designed to monitor the EHD printing system by taking the feedback information from micro-current and jet image. The experimental results show that the closed-loop control significantly improved the uniformity and stability of the fiber deposition. The volatility percentage of the current decreased from 34% to 12%, the fluctuation range of the fiber diameter was reduced from 35 μm to 15 μm, and the volatility percentage of the fiber spacing decreased from 29% to 9.5%. Additionally, the closed-loop control accelerated the response speed of jet mode conversion. Ineffective deposition of printing jet on the collection plate was shortened from 5 s to 2.2 s. This feedback control optimises the printing quality of micro-nano structures, promoting the advancement of high-resolution additive manufacturing applications.

Scientific ReportsVol. 15(1)
Xiamen University (CN), Xiamen University of Technology (CN)
Natural Science Foundation of Xiamen City, National Natural Science Foundation of China, Science and Technology Planning Project of Shenzhen Municipality
Affordable and clean energy
Openalex Percentile: Top 11%
Electrohydrodynamics and Fluid Dynamics
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.