Method of fast nozzle failure detection
11376843 · 2022-07-05
Assignee
Inventors
Cpc classification
B41J2/04581
PERFORMING OPERATIONS; TRANSPORTING
B41J2/0451
PERFORMING OPERATIONS; TRANSPORTING
International classification
Abstract
In a method of nozzle failure detection in an ink jet printer having a plurality of ejection units including a nozzle and an associated liquid chamber with an electromechanical transducer, nozzle failure detection is performed, for each ejection unit, with a given minimum detection frequency. Each nozzle failure detection includes energizing the transducer with a waveform that does not lead to the ejection of a droplet but creates a pressure fluctuation that is sensitive to whether or not the ejection unit is in a malfunction state; measuring the pressure fluctuation in order to detect the malfunction state; defining a mask pattern that is independent of image contents to be printed; and when an image is being printed, performing the nozzle failure detection steps for each ejection unit at timings at which the respective nozzles are in pixel positions that belong to the mask pattern.
Claims
1. A method of nozzle failure detection in an ink jet printer having a plurality of ejection units each of which comprises a nozzle and an associated liquid chamber with an electromechanical transducer for energizing a pressure wave in the liquid chamber so as to expel an ink droplet from the nozzle, the method comprising steps of nozzle failure detection to be performed, for each ejection unit, with a given minimum detection frequency, wherein each nozzle failure detection step comprises: energizing the transducer with a waveform that does not lead to the ejection of a droplet but creates a pressure fluctuation that is sensitive to whether or not the ejection unit is in a malfunction state; measuring the pressure fluctuation in order to detect the malfunction state, defining a mask pattern that is independent of image contents to be printed, said mask pattern defining positions of blank pixels on a dark background such that the blank pixels are distributed over an area of an image so finely that they are hardly perceptible to the human eye; and when an image is being printed, performing the nozzle failure detection steps for each ejection unit at timings at which the respective nozzles are in pixel positions that belong to the mask pattern.
2. The method according to claim 1, wherein the mask pattern is repeatedly applied to successive tiles of an image to be printed.
3. The method according to claim 1, wherein the detection waveform includes an actuating pulse followed by a quench pulse that is designed to suppress a residual pressure fluctuation in the ink chamber only if the ejection unit is in an operating state, and the malfunction state is detected by comparing an amplitude of the residual pressure fluctuation after the quench pulse to a threshold.
4. The method according to claim 1, wherein the nozzle failure detection step for an individual nozzle is performed within a time interval (t1-t4) which has a duration not larger than a drop-on-demand period of the printer.
5. The method according to claim 1, wherein, when a malfunction state has been detected for any nozzle, a nozzle failure compensation algorithm is activated for that nozzle and is kept active as long as the nozzle failure persists.
6. The method according to claim 5, wherein, when a malfunction state has been detected for a particular nozzle, another nozzle failure detection process is performed for that nozzle in order to further characterize the nature of the malfunction and, when and if the nature of the malfunction has been identified, a maintenance step is performed for removing the malfunction.
7. The method according to claim 1, wherein, when a malfunction state of a particular ejection unit has been detected, that detection unit is switched off.
8. The method according to claim 7, wherein, when a malfunction state has been detected for a particular nozzle, another nozzle failure detection process is performed for that nozzle in order to further characterize the nature of the malfunction and, when and if the nature of the malfunction has been identified, a maintenance step is performed for removing the malfunction.
9. The method according to claim 1, wherein a nozzle failure compensation algorithm is performed for the pixel positions of the blank pixels.
Description
(1) Embodiment examples will now be described in conjunction with the drawings, wherein:
(2)
(3)
(4)
(5)
(6)
(7) The drawing does not show image contents of the image 20 but instead shows a symbolic representation of a mask pattern 22 that is used in a nozzle failure detection process. The mask pattern 22 can be imagined as a pattern of blank pixels 24 on a dark background 26. For reasons of reproducibility of the drawing, the mask pattern 22 has been shown inverted, i.e. the background 26 has been shown in white and the blank pixels 24 have been shown in black. The pixel positions of the blank pixels 24 appear to be randomly distributed over the area of the image 20 with uniform density, but the distribution of pixel positions is actually only pseudo-random and has been designed to assure that exactly one blank pixel 24 occurs in each pixel column that is printed with an associated one of the nozzles 14.
(8) As will be explained in detail below, the mask pattern 22 controls the timings of nozzle failure detection steps to be performed for each of the nozzles 14. As the sheet 18 is advanced in a sub-scanning direction y and the nozzles 14 are energized to print successive pixel lines that extend in a main scanning direction x, a failure detection step for a given nozzle 14 is performed at the time when the blank pixel 24 that is located in the same pixel column as the nozzle 14 is aligned with the nozzle. When the failure detection step is performed, the nozzle cannot eject a droplet, so that the pixel 24 is left blank. The failure detection process is so fast that it can be completed within a single drop-on-demand period, i.e. before the next pixel in the column reaches the position of the nozzle 14, so that this nozzle is ready again for ejecting a next ink dot. In this way, the printed image 20 will be “pierced” by blank pixels 24 only at the pixel positions designated by the mask pattern 22.
(9) In a printer with a typical resolution of, for example, 400 or 600 dpi, the size of the individual pixels will be so small that the blank pixels 24 are hardly visible with the naked eye, even on a dark background of the image. Of course, if a blank pixel 24 happens to be located in a white image area, it will not be visible at all.
(10) It will be understood that, in a practical embodiment, the number of nozzles 14 is significantly larger than the number of nozzles shown in
(11) The mask pattern 22 extends over the entire width of the print head 10 in the main scanning direction x, but its dimension in the sub-scanning direction y may be smaller than the dimension of a page to be printed. Thus, the image 20 shown in
(12) The failure detection step for an individual nozzle 14 will now explained in conjunction with
(13) A recess that forms a liquid chamber 34 is formed in the face of the wafer 10 that engages the membrane 32, e.g. the bottom face in
(14) An opposite end of the liquid chamber 34, on the right side in
(15) Adjacent to the membrane 32 and separated from the chamber 38, the support member 30 forms another cavity 40 accommodating a piezoelectric transducer 42 that is bonded to the membrane 32.
(16) The ink supply line 36, the liquid chamber 34, the chamber 38 and the nozzle 14 are filled with liquid ink. An ink supply system which has not been shown here keeps the pressure of this liquid ink slightly below the atmospheric pressure, e.g. at a relative pressure of −1000 Pa, so as to prevent the ink from leaking out through the nozzle 14. In the nozzle orifice, the liquid ink forms a meniscus 44.
(17) The piezoelectric transducer 42 has electrodes that are connected to an electronic circuit that has been shown in the lower part of
(18) When an ink droplet is to be expelled from the nozzle 14, the processor 60 sends a command to the controller 58 which outputs a digital signal that causes the D/A-converter 56 and the amplifier 50 to apply a voltage pulse to the transducer 42. This voltage pulse causes the transducer to deform in a bending mode. More specifically, the transducer 42 is caused to flex downward, so that the membrane 32 which is bonded to the transducer 42 will also flex downward, thereby to increase the volume of the liquid chamber 34. As a consequence, additional ink will be sucked-in via the supply line 36. Then, when the voltage pulse falls off again, the membrane 32 will flex back into the original state, so that a positive acoustic pressure wave is generated in the liquid ink in the liquid chamber 34. This pressure wave propagates to the nozzle 14 and causes an ink droplet to be expelled.
(19) The electrodes of the transducer 42 are also connected to an A/D converter 62 which measures a voltage drop across the transducer and also a voltage drop across the resistor 48 and thereby implicitly the current flowing through the transducer. Corresponding digital signals are forwarded to the controller 58 which can derive the impedance of the transducer 42 from these signals. The measured impedance is signalled to the processor 60 where the impedance signal is processed further, as will be described below.
(20) The acoustic wave that has caused a droplet to be expelled from the nozzle 14 will be reflected (with phase reversal) at the open nozzle and will propagate back into the liquid chamber 34. Consequently, even after the droplet has been expelled, a gradually decaying acoustic pressure wave is still present in the duct 16, and the corresponding pressure fluctuations exert a bending stress onto the membrane 32 and the actuator 42. This mechanical strain on the piezoelectric transducer leads to a change in the impedance of the transducer, and this change can be measured with the electronic circuit described above. The measured impedance changes represent the pressure fluctuations of the acoustic wave and can therefore be used to derive a time-dependent function P(t) that describes these pressure fluctuations.
(21)
(22)
(23) However,
(24) In
(25) On the other hand, if the ejection unit E is in any kind of malfunction state, e.g. a state in which the nozzle 14 is partly or completely clogged or a state in which an air bubble is present in the nozzle or in the chamber 38 or in the liquid chamber 34 or the ink supply duct 36, the acoustics, i.e. the reflection and transmission behaviour of the acoustic wave will be changed such that the timing and amplitude of the quench pulse 68 is no longer tuned to destructive interference with the residual pressure wave and fails to suppress this pressure wave efficiently or even boosts the residual pressure wave by constructive interference, as has been illustrated by a solid curve 72 in
(26) The malfunction state of the ejection unit can therefore be detected very easily and within a short time simply by checking whether the amplitude of the pressure wave between the times t3 and t4 is above a certain threshold f. If that is the case, it can be decided that the ejection unit is in a malfunction state, although it cannot yet be determined in what kind of malfunction state the unit is in. On the other hand, if the amplitude remains below the threshold f, it can be concluded that the ejection unit is in an operating state.
(27) It will be appreciated that this decision can be made within an extremely short time, even within a single drop-on-demand period of the print head.
(28) As has further been shown in
(29) Essential steps of a print process with nozzle failure detection in accordance with the principles of the invention have been summarized in a flow diagram in
(30) In step S1, the mask pattern 22 is defined such that the minimum detection frequency determined by the pattern matches the quality requirements for the print job.
(31) In step S2, the image 20 or several images or tiles are printed on the media sheet 18 and the fast nozzle failure detection steps as described in conjunction with
(32) In step S3, it is checked whether a nozzle failure has been detected for any of the nozzles 14.
(33) As soon as a nozzle failure has been detected, the malfunctioning nozzle is switched off in step S4 and failure compensation is continued for the pixels in the neighbouring pixel columns.
(34) Then, in step S5, a detailed failure analysis is performed for the malfunctioning ejection unit in order to further characterize the nature of the malfunction. To that end, the transducer of the ejection unit is energized with a waveform having an activation pulse 66 too small to eject a droplet. A subsequent quench pulse 68 may be included or omitted and the pressure wave decaying in the ink chamber 34 will be analysed over an extended period of time in order to identify the type of nozzle failure that has occurred.
(35) Then, depending upon the result of the failure analysis in step S5, a nozzle treatment may optionally be performed in step S6 in order to return the nozzle into the operating state (e.g. by wiping the nozzle face 12 or by purging the nozzle in a time gap between two sequent pages to be printed).
(36) In step S7, it is checked whether the end of the mask pattern 22 has been reached. If that is the case (Y), the mask pattern is repeated in step S8, so that the next tile or image 20 can be printed and fast nozzle failure detection can be continued by looping back to step S2.
(37) If no nozzle failure is detected in step S3 (M), the steps S4 to S6 are skipped.
(38) It will be understood that the step S3 is performed whenever one of the nozzles 14 has reached a pixel position of one of the blank pixels 28 in the mask pattern. Consequently, there may be cases where two or more nozzle failures are detected, and the steps S4 to S6 are then performed for each of the malfunctioning nozzles.