Effect of Screen Printing Process Parameters on the Forming Quality of Fine Conductive Lines

YUAN Tianlin; YUAN Yingcai; QIAN Shuolei; TIAN Ye; LI Yan

doi:10.19554/j.cnki.1001-3563.2026.03.016

PDF(808 KB)

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (3) : 153-160. DOI: 10.19554/j.cnki.1001-3563.2026.03.016

Automatic and Intelligent Technology

Effect of Screen Printing Process Parameters on the Forming Quality of Fine Conductive Lines

YUAN Tianlin¹, YUAN Yingcai¹, QIAN Shuolei¹, TIAN Ye², LI Yan^1,*

Author information +

History +

Abstract

The work aims to investigate the effects of key screen printing parameters on the forming quality of fine conductive lines and explore the roles of snap-off distance, printing speed, and squeegee pressure on line geometry and surface quality, with the goal of identifying optimal conditions for printing 100 μm×150 mm conductive patterns. An orthogonal experimental design was employed to evaluate the impact of the three parameters on line width, line height, and surface roughness, while grey relational analysis (GRA) was introduced to achieve multi-index comprehensive evaluation and to establish a parameter-performance correlation model. The analysis indicated that snap-off distance exhibited the most significant effect, followed by printing speed and squeegee pressure. The optimized parameter combination yielded conductive lines with excellent width uniformity, structural stability, and surface quality. Printed samples verified under the optimal conditions showed high continuity and clean edges, meeting the requirements for fine-pattern fabrication. These findings demonstrate that GRA is an effective tool for multi-objective optimization of screen printing processes, and that appropriate coordination of snap-off distance, printing speed, and pressure can significantly enhance conductive line formation quality, providing practical guidance for high-precision printing in flexible electronics and metallic mesh applications.

Key words

screen printing / grey relational analysis / process optimization / conductive line

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

YUAN Tianlin, YUAN Yingcai, QIAN Shuolei, TIAN Ye, LI Yan. Effect of Screen Printing Process Parameters on the Forming Quality of Fine Conductive Lines[J]. Packaging Engineering. 2026, 47(3): 153-160 https://doi.org/10.19554/j.cnki.1001-3563.2026.03.016

References

[1] CORZO D, TOSTADO-BLÁZQUEZ G, BARAN D. Flexible Electronics: Status, Challenges and Opportunities[J]. Frontiers in Electronics, 2020, 1: 594003.
[2] SENEVIRATNE S, HU Y N, NGUYEN T, et al.A Survey of Wearable Devices and Challenges[J]. IEEE Communications Surveys & Tutorials, 2017, 19(4): 2573-2620.
[3] ZHANG D D, HUANG T Y, DUAN L.Emerging Self-Emissive Technologies for Flexible Displays[J]. Advanced Materials, 2020, 32(15): 1902391.
[4] WANG X D, DONG L, ZHANG H L, et al.Recent Progress in Electronic Skin[J]. Advanced Science, 2015, 2(10): 1500169.
[5] NAIK K, SAQUIB M, SHETTY S, et al.Recent Advances in Screen Printable Microsupercapacitors for Emerging Printed Electronics[J]. Journal of Energy Storage, 2025, 140: 118946.
[6] GAFUROV A N, JEONG J, PARK P, et al.Registration Error Analysis and Compensation of Roll-to-Roll Screen Printing System for Flexible Electronics[J]. Flexible and Printed Electronics, 2021, 6(2): 024003.
[7] ZHANG J J, LAN P S, WEN J X, et al.High-Performance Flexible Pressure Sensor Array via Screen-Printing with Enhanced Sensitivity and Low Crosstalk[J]. IEEE Sensors Journal, 2025, 25(16): 30771-30777.
[8] WU G R, WU L J, ZHANG H Y, et al.Research Progress of Screen-Printed Flexible Pressure Sensor[J]. Sensors and Actuators A: Physical, 2024, 374: 115512.
[9] KREBS F C.Fabrication and Processing of Polymer Solar Cells: A Review of Printing and Coating Techniques[J]. Solar Energy Materials and Solar Cells, 2009, 93(4): 394-412.
[10] ALI M, LIN L, FAISAL S, et al.Optimisation of Screen Printing Process for Functional Printing[J]. Pigment & Resin Technology, 2019, 48(5): 456-463.
[11] 金琳. 丝网印刷工艺对印刷电路导电性能的影响研究[J]. 包装工程, 2025, 46(3): 194-202.
JIN L.Impact of Screen Printing Technology on Electrical Conductivity of Printed Circuits[J]. Packaging Engineering, 2025, 46(3): 194-202.
[12] 刘世朴, 李艳, 张彦辉. 精细丝网印刷电子影响因素及实验研究[J]. 包装工程, 2020, 41(13): 243-250.
LIU S P, LI Y, ZHANG Y H.Influencing Factors and Experimental Research of Fine Screen Printing Electrons[J]. Packaging Engineering, 2020, 41(13): 243-250.
[13] KUO Y, YANG T, HUANG G W.The Use of Grey Relational Analysis in Solving Multiple Attribute Decision-Making Problems[J]. Computers & Industrial Engineering, 2008, 55(1): 80-93.
[14] 周文浩, 曾波. 灰色关联度模型研究综述[J]. 统计与决策, 2020, 36(15): 29-34.
ZHOU W H, ZENG B.A Research Review of Grey Relational Degree Model[J]. Statistics and Decision, 2020, 36(15): 29-34.
[15] 刘瑞江, 张业旺, 闻崇炜, 等. 正交试验设计和分析方法研究[J]. 实验技术与管理, 2010, 27(9): 52-55.
LIU R J, ZHANG Y W, WEN C W, et al.Study on the Design and Analysis Methods of Orthogonal Experiment[J]. Experimental Technology and Management, 2010, 27(9): 52-55.
[16] 田野, 李艳, 袁英才, 等. 丝网印刷电子工艺参数对印刷质量的影响[J]. 包装工程, 2020, 41(5): 250-259.
TIAN Y, LI Y, YUAN Y C, et al.Influence of Screen Printing Electronic Process Parameters on Printing Quality[J]. Packaging Engineering, 2020, 41(5): 250-259.
[17] 许建林, 任铮, 潘云霄, 等. 基于液桥力分析的丝网印刷电子转墨率预测模型构建与仿真研究[J]. 鞍山师范学院学报, 2023, 25(2): 25-31.
XU J L, REN Z, PAN Y X, et al.Modeling and Numerical Simulation for Prediction of Ink Transfer Ratio in Screen Printing Electronics Based on Analysis of Liquid Bridge Force[J]. Journal of Anshan Normal University, 2023, 25(2): 25-31.
[18] 张彦辉. 印刷电子的丝网印刷关键技术研究[D]. 北京: 北京科技大学, 2018: 5-7.
ZHANG Y H.Research on Key Technologies of Screen Printing for Printed Electronics[D]. Beijing: Beijing University of Science and Technology, 2018: 5-7.
[19] BAHARUDDIN N A, ABDUL RAHMAN N F, ABD RAHMAN H, et al. Fabrication of High-Quality Electrode Films for Solid Oxide Fuel Cell by Screen Printing: A Review on Important Processing Parameters[J]. International Journal of Energy Research, 2020, 44(11): 8296-8313.
[20] 谭学瑞, 邓聚龙. 灰色关联分析: 多因素统计分析新方法[J]. 统计研究, 1995, 12(3): 46-48.
TAN X R, DENG J L.Grey Relational Analysis: A New Method of Multi-Factor Statistical Analysis[J]. Statistical Research, 1995, 12(3): 46-48.