EconPapers    
Economics at your fingertips  
 

Intelligent control system for 3D inkjet printing

Fanbo Meng (), Jin Huang (), Bu Ping, Pengfei Yuan, Nan Bai, Xiaolai Zhang, Xueyou Shi, Jinzhu Zhou, Peng Li and Pengbing Zhao
Additional contact information
Fanbo Meng: Xidian University
Jin Huang: Xidian University
Bu Ping: Xidian University
Pengfei Yuan: Xidian University
Nan Bai: Xidian University
Xiaolai Zhang: Xidian University
Xueyou Shi: Xidian University
Jinzhu Zhou: Xidian University
Peng Li: Xidian University
Pengbing Zhao: Xidian University

Journal of Intelligent Manufacturing, 2024, vol. 35, issue 2, No 6, 575-586

Abstract: Abstract Additive manufacturing is typically an open-loop process. Consequently, it results in poor material matching at the junctions in multimaterial printing, affecting the performance of functional components. This study investigated the surface accumulation characteristics of parts in three-dimensional (3D) inkjet printing. Moreover, an intelligent additive manufacturing system for array nozzles was developed to improve the material accumulation accuracy and printing efficiency. First, a height prediction model was established to predict the printing height information, and a P-type closed-loop iterative learning control compensation algorithm with initial value correction was formulated based on the layer thickness experimental data. This algorithm reduced the root-mean-squared error (RMSE) of the sample’s surface by 69.3%. Second, a set of random offset nozzle compensation algorithms was developed and combined with the laser vision scanning method to obtain the nozzle clogging information and compensate for sample defects by adjusting the parameters of the random algorithm. Finally, a microstrip antenna was fabricated. The surface roughness of the sample in this study was lower than that of the open-loop printed sample, resulting in a good antenna radio frequency (RF) layer connection. In addition, the S11 parameters were closer to the simulation results. These results validate the significance of this research in electronic printing.

Keywords: Inkjet printing; Adaptive parameter adjustment; Flash sintering; Microstrip antenna (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10845-022-02061-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joinma:v:35:y:2024:i:2:d:10.1007_s10845-022-02061-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845

DOI: 10.1007/s10845-022-02061-5

Access Statistics for this article

Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak

More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-12
Handle: RePEc:spr:joinma:v:35:y:2024:i:2:d:10.1007_s10845-022-02061-5