2017
DOI: 10.2352/j.imagingsci.technol.2017.61.5.050402
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Real-Time Jet Failure Detection of Inkjet Heads with 1024 Ejectors

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Cited by 2 publications
(9 citation statements)
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“…In order to solve these issues, ink recirculation systems are often used in industry. Figure 3 shows a simple recirculation system equipped with ink level sensors to maintain the ink supply to the print-head [16]. For the re-circulation and continuous ink supply to the head, more than two reservoirs are commonly used, which are indicated as R1 and R2 in figure 3(a).…”
Section: Ink Supply System For Inkjet Print-headmentioning
confidence: 99%
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“…In order to solve these issues, ink recirculation systems are often used in industry. Figure 3 shows a simple recirculation system equipped with ink level sensors to maintain the ink supply to the print-head [16]. For the re-circulation and continuous ink supply to the head, more than two reservoirs are commonly used, which are indicated as R1 and R2 in figure 3(a).…”
Section: Ink Supply System For Inkjet Print-headmentioning
confidence: 99%
“…However, these earlier methods were not based on real-time monitoring. Recently, real-time monitoring methods based on piezo self-sensing have been developed and a recent study showed that inkjet print-heads with more than 1000 nozzles can be monitored within a few seconds [16], which could potentially increase the reliability of the inkjet printing process for mass production. Inkjet jetting monitoring issues are discussed in section 2.…”
Section: Introductionmentioning
confidence: 99%
“…In this case, the signal from only one nozzle is sensed at a time for monitoring. A scanning scenario developed in our previous study was used to maximize sensing efficiency 22 .
Figure 4 Data acquisition module for self-sensing ( A ) Driving schemes for inkjet, and ( B ) FPGA module for self-sensing signals acquisition.
…”
Section: Methodsmentioning
confidence: 99%
“…Hence, fast real-time monitoring is required without mechanical alignment to cameras or sensors. To implement real-time monitoring, self-sensing techniques based on sensing the signals of piezoelectric nozzles have been introduced 22 25 .…”
Section: Introductionmentioning
confidence: 99%
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