Drop-on-demand drop formation of polyethylene oxide solutions

2011 ◽  
Vol 23 (10) ◽  
pp. 107101 ◽  
Author(s):  
Xuejia Yan ◽  
Wallace W. Carr ◽  
Hongming Dong
2019 ◽  
Vol 40 (9) ◽  
pp. 1239-1254 ◽  
Author(s):  
A. B. Aqeel ◽  
M. Mohasan ◽  
Pengyu Lv ◽  
Yantao Yang ◽  
Huiling Duan

2006 ◽  
Vol 18 (7) ◽  
pp. 072102 ◽  
Author(s):  
Hongming Dong ◽  
Wallace W. Carr ◽  
Jeffrey F. Morris

2007 ◽  
Vol 19 (10) ◽  
pp. 102111 ◽  
Author(s):  
Qi Xu ◽  
Osman A. Basaran

Author(s):  
Jie Wang ◽  
George T.-C. Chiu

Abstract Drop formation models are essential for the control of drop-on-demand (DoD) inkjet printing process. Traditional numerical models are difficult to implement in real-time control. In this paper, an equivalent circuit model (ECM) is developed to motivate the implementation of a data-driven ARX model combined with a drop volume adjuster to estimate drop volume. Drop pinch-off instants and drop velocities are modeled in polynomials with respect to the parameters of the drive waveform. All models are validated through 10-fold cross validation. The simulation of the drop volume model shows good agreement with experimental results.


2006 ◽  
Vol 77 (8) ◽  
pp. 085101 ◽  
Author(s):  
Hongming Dong ◽  
Wallace W. Carr ◽  
Jeffrey F. Morris

2018 ◽  
Vol 186 ◽  
pp. 102-115 ◽  
Author(s):  
Lisong Yang ◽  
Nik Kapur ◽  
Yiwei Wang ◽  
Fritz Fiesser ◽  
Frank Bierbrauer ◽  
...  

2012 ◽  
Vol 38 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Xi Wang ◽  
Wallace W. Carr ◽  
David G. Bucknall ◽  
Jeffrey F. Morris

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