CN113492589B - Method for configuring an inkjet printer by means of a computer - Google Patents
Method for configuring an inkjet printer by means of a computer Download PDFInfo
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- CN113492589B CN113492589B CN202110294200.2A CN202110294200A CN113492589B CN 113492589 B CN113492589 B CN 113492589B CN 202110294200 A CN202110294200 A CN 202110294200A CN 113492589 B CN113492589 B CN 113492589B
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000013499 data model Methods 0.000 claims abstract description 38
- 238000007639 printing Methods 0.000 claims description 64
- 239000000758 substrate Substances 0.000 claims description 47
- 238000012360 testing method Methods 0.000 claims description 11
- 230000002950 deficient Effects 0.000 claims description 10
- 239000000203 mixture Substances 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
- 230000001419 dependent effect Effects 0.000 description 11
- 238000011161 development Methods 0.000 description 6
- 230000018109 developmental process Effects 0.000 description 6
- 230000000875 corresponding effect Effects 0.000 description 4
- 238000012549 training Methods 0.000 description 4
- 241000196324 Embryophyta Species 0.000 description 2
- 238000007641 inkjet printing Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 108010023321 Factor VII Proteins 0.000 description 1
- 241000533901 Narcissus papyraceus Species 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011088 calibration curve Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F19/00—Apparatus or machines for carrying out printing operations combined with other operations
- B41F19/007—Apparatus or machines for carrying out printing operations combined with other operations with selective printing mechanisms, e.g. ink-jet or thermal printers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J2/00—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed
- B41J2/005—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed characterised by bringing liquid or particles selectively into contact with a printing material
- B41J2/01—Ink jet
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F33/00—Indicating, counting, warning, control or safety devices
- B41F33/16—Programming systems for automatic control of sequence of operations
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J2/00—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed
- B41J2/005—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed characterised by bringing liquid or particles selectively into contact with a printing material
- B41J2/01—Ink jet
- B41J2/07—Ink jet characterised by jet control
- B41J2/11—Ink jet characterised by jet control for ink spray
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J2/00—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed
- B41J2/005—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed characterised by bringing liquid or particles selectively into contact with a printing material
- B41J2/01—Ink jet
- B41J2/21—Ink jet for multi-colour printing
- B41J2/2132—Print quality control characterised by dot disposition, e.g. for reducing white stripes or banding
- B41J2/2139—Compensation for malfunctioning nozzles creating dot place or dot size errors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J29/00—Details of, or accessories for, typewriters or selective printing mechanisms not otherwise provided for
- B41J29/38—Drives, motors, controls or automatic cut-off devices for the entire printing mechanism
- B41J29/393—Devices for controlling or analysing the entire machine ; Controlling or analysing mechanical parameters involving printing of test patterns
Abstract
The invention relates to a compensation characteristic curve (DUMC) with a variable model, namely a method for configuring an inkjet printer by means of a computer, comprising the steps of: the computer classifies the individual tuning parameters of the inkjet printer by means of the data model created and trained for this purpose; storing the categorized tuning parameters in a dataset set of a database; a computer creating a new set of settings parameters for configuring the inkjet printer for the determined print job based on the stored set of data sets; in the event of a change in the determined classified tuning parameters, the computer recalculates the set of tuning parameters for configuring the inkjet printer by means of the trained data model; the computer adapts the set of data sets in the database to the changed tuning parameters.
Description
Technical Field
The invention relates to a method for automatically configuring an inkjet printer.
The invention belongs to the technical field of ink-jet printing.
Background
In the case of an inkjet printer with an adjustment (Einstellung) and a configuration (konconfiguration), individual printing nozzles of the inkjet print head used are controlled in a targeted manner, which is an important center point for the inkjet printing process to be carried out in each case. In order to increase the print quality as much as possible, individual printing nozzles of the inkjet print head must be actuated in such a way that small deviations in the ink jet of the individual nozzles, which are dependent on production or dependent on the process, are compensated for accordingly. This is achieved in such a way that: i.e. to create a so-called density compensation characteristic (dichtekompensation profile). Such density compensation is also known as DUC or durc. The test measurement mode is used to determine: in the case of identical actuation of the individual printing nozzles, the individual printing nozzles differ from one another to the extent they differ in their ink ejection. With this information, a corresponding compensation characteristic can then be created, which adjusts the ink jet for each individual printing nozzle in such a way that these deviations are compensated for.
In the case of configuration of inkjet printers, it is further important that defective (i.e. printed offset or no longer printed at all) printing nozzles (also known as missing nozzles MN or MNC) are compensated as far as possible, so that even in the case of defective printing nozzles of this type, these have as little influence as possible on the resulting printed image with respect to the print quality. In most cases, the defective printing nozzles are compensated for by an increased ink jet of adjacent printing nozzles, wherein in most cases further adjacent printing nozzles print correspondingly less, in order to avoid overcompensation.
Here, these two configuration criteria in the form of density compensation and defective printing nozzle compensation are for a large number of characteristic values. Furthermore, both compensation modes (but in particular density compensation) have to be optimized for each print head component (druckkopfzusammensizng), each substrate used and each printing speed used.
A disadvantage in the state of the art today is that tests have to be performed for each printing bar or printing head composition, each substrate used and each printing speed. This is a corresponding expense, mainly because the inkjet printer cannot operate effectively during this time. Furthermore, all substrate data sets must be re-entered when changing a single print head, or when changing ink formulations, changing a grid (master), or changing other important components of the printing process.
In order to solve this problem, a method for compensating for position-dependent density fluctuations of printing nozzles in an inkjet printer by a computer is known, wherein the computer creates a compensation characteristic for position-dependent density fluctuations of all printing substrates used, calculates an average characteristic on the basis of the compensation characteristic, and compensates for position-dependent density fluctuations in the inkjet printer using the average characteristic, wherein, in the event of a change of one or more printing heads of the inkjet printer, a new compensation characteristic is calculated for only one printing substrate by the computer, the computer derives a new average characteristic on the basis of the new compensation characteristic, and the computer calculates and uses the new average characteristic for the remaining printing substrates, taking into account the old compensation characteristic.
Furthermore, a method for compensating for position-dependent density fluctuations of printing nozzles in an inkjet printer by means of a computer is known from the prior art, wherein the computer creates a compensation characteristic for position-dependent density fluctuations of all printing heads of the inkjet printer for all used printing substrates and compensates for position-dependent density fluctuations in the inkjet printer using the compensation characteristic, characterized in that the computer takes the following values by means of a general reference printing substrate: based on this generic reference substrate, a reference compensation characteristic is created which is surface-coverage-dependent and position-dependent, and thus an overall compensation characteristic is created which is used to compensate for those position-dependent density fluctuations.
However, these prior art solutions also have the disadvantage that: not all relevant data about the inkjet printer to be configured are taken into account in the average characteristic curve used (or reference compensation characteristic curve), so that the compensation characteristic curve thus created is not sufficiently accurate, for which, in addition, there is a great configuration effort in terms of installation adjustment of waste pages and installation adjustment time (Einrichtemakulatur und-zeit). Furthermore, these solutions are not suitable for compensating defective printing nozzles.
Disclosure of Invention
The object of the present invention is therefore to provide a method for configuring an inkjet printer, which minimizes the duration and effort of the configuration process.
This object is achieved by a method for configuring an inkjet printer by means of a computer, comprising the following steps: classifying, by the computer, individual tuning parameters (einstellparameters) of the inkjet printer by means of the data model created and trained for this purpose; storing the categorized tuning parameters in a dataset set of a database; creating, by the computer, a new set of settings parameters (Satz) for configuring the inkjet printer for the determined print job based on the stored set of data sets; recalculating, by a computer, a set of tuning parameters for configuring the inkjet printer with the aid of the trained data model, in the event of a change in the determined classified tuning parameters; the set of data sets in the database is adapted by a computer to the changed tuning parameters. In this case, it is decisive for the method according to the invention that individual tuning parameters are assigned to specific substrate classes or machine configurations or the like by means of the trained data model. This reduces the cost of substrate authentication to some extent (e.g., in the case of adding a new substrate). Only parameters describing the substrate need be predefined here; all other parameters (e.g. pin set, DUC profile, etc.) are calculated from the model, i.e. the entire substrate identification process is performed so far, some known parameters being entered now. It is important here that the data model used is developed on the basis of the data set currently present in the substrate database of the individual machine. Then, when the determined tuning parameters change (e.g., due to replacement of a single print head), the model may thereby automatically target precisely calculate other tuning parameters from the model. It is therefore no longer necessary to re-determine all combinations of inkjet printhead components and printing substrate and printing speed or other set parameters by means of a plurality of tests when changing the printheads or printing substrate. Only the parameters that have changed must be provided to the data model for use, whereupon the data model automatically calculates other tuning parameters. Naturally, the tuning parameters that have been changed must be determined by the user in some way so that the data model can calculate other parameters. Compared with the prior art, the treatment method greatly reduces the cost for configuring the ink-jet printer.
From the associated preferred embodiments and from the description and the associated drawings, advantageous and therefore preferred developments of the method according to the invention result.
In this case, a preferred development of the method according to the invention is that the categories for setting the parameters include: a category specific to the substrate, a category specific to the printer, and a category specific to the printing speed. These categories are the most important ones into which the data model can categorize the current tuning parameters. Here, the specific classes for the printing substrate include the parameters: such as the paper white of the substrate being printed, the absorption of ink through the substrate, the size and thickness of the substrate, etc. In particular for printing presses, this means in particular the manipulation of individual printing nozzles of the inkjet print head (for example density compensation characteristic curves or adjustments for compensating defective printing nozzles), while the category specific for the printing speed naturally mainly includes the printing speed itself and possibly also certain characteristics of the substrate transport in the printing press.
In this case, a further preferred development of the method according to the invention provides that, in the event of a change in at least one classified tuning parameter, the classified tuning parameter is quantified by the user, and that the computer recalculates the other tuning parameters affected by the change in the at least one classified tuning parameter by means of the trained data model. As already mentioned, these defined tuning parameters have to be determined by the user when at least one tuning parameter changes, for example when the printing substrate or the inkjet print head used changes. The user can either carry out this determination by means of a specially carried out test or (for example in the case of a change in the print head) take the density compensation characteristic from the manufacturer of the print head and supply the data model with input accordingly. The data model can then react to this by means of the new data on the basis of the state of the data model after training, and other types of correspondingly adapted tuning parameters can be calculated for the changed parameters and can be used for configuring the inkjet printer.
A further preferred development of the method according to the invention is that for training the data model (Einlernen), the data model is provided with a set of data sets of tuning parameters of the inkjet printer for use, whereby the correlations and effects between the individual tuning parameters are linked by the data model. In other words, in order to be able to take on the corresponding effects in the method according to the invention, the data model must naturally be trained by means of the effect relationships between the individual tuning parameters, i.e. the data model must be tuned in such a way that it is actually known: for example, which printing speed, which effect on the manipulation of those printing nozzles adjacent to the defective printing nozzle is necessary with respect to the ink droplet size necessary for compensation. Only then can the other parameters be adapted accordingly when one or some of the changed tuning parameters are changed.
In this case, a further preferred development of the method according to the invention provides that the setting parameters comprise: ink volume limitations (Inklimits), pinning and corona modulation (Pinning-und Coronaeinstellungen), and characteristic curves for density compensation and defective print nozzle compensation (kennline), as well as parameters for printing speed and substrate transport and substrate properties. These tuning parameters are only the most important and common tuning parameters. The method according to the invention is not limited to these parameters, however, but all other relevant parameters for configuring the inkjet printer can be detected (or extended to these other relevant parameters).
In this case, a further preferred development of the method according to the invention provides that the data record of the database has historical setting parameters of not only the currently used inkjet printer but also of other inkjet printers. In order to train the data model used as accurately and optimally as possible, the method according to the invention suggests that not only the historical tuning parameters of the inkjet printer currently used are used, but also other tuning parameters of inkjet printers of as similar a construction as possible are used. Because more data is available for training the data model, the calculation of the new set of configuration sets with respect to the tuning parameters can be guided more accurately later, and the inkjet printer involved can also work more accurately.
Drawings
The invention itself and its structurally and/or functionally advantageous embodiments are explained in more detail below with reference to the associated drawings in accordance with at least one preferred embodiment. In the drawing, elements corresponding to each other are provided with the same reference numerals, respectively. The drawing shows:
fig. 1: the components involved in the method and their dependencies on each other are schematically shown;
fig. 2a, 2b, 2c: the progress of the method according to the invention is schematically shown.
Detailed Description
In this case, a digital data model 2 is developed on the basis of the currently existing data set in the substrate database of the individual printing presses 3, which digital data model 2 enables individual parameters and/or feature values to be assigned to, for example, the substrate category 5 or the machine configuration 4, 4a. Fig. 1 shows the components involved in this case by way of example. The workflow system runs on one or more computers 1, by means of which one or more computers 1 print jobs to be processed are processed. The creation and use of the data model 2 is performed by the computer 1, respectively. This may be a central workflow computer 1 in the respective printing plant, which central workflow computer 1 performs the two processes described above. Alternatively, however, the data model 2 is at least created and pre-trained by the provider of the workflow system, which is part of the data model 2, before being used in the printing plant. In this case, the computers used for the creation and training (or further adaptation) of the data model 2 are not identical. However, it is not important for the method according to the invention whether the data model 2 is created (or run) on one or more computers. Importantly, the data model 2 obtains historical data for the configurations 4,4a of the inkjet printer 3 (especially with respect to DUC and MNC aspects) and thereby trains and can then create such configurations for the desired inkjet printer 3.
To create the data model 2, the individual data set sets 4,4a are divided into such ranges by means of processing knowledge:
a tuning factor 5 specific to the substrate;
machine specific tuning factors, such as print bar configuration 8;
a speed-specific tuning factor 7; and
possible combinations of the three ranges mentioned above.
The global goal is that the different sources of tuning factors 5, 7, 8 can be combined into a new active dataset 4, 4a. For example, if the substrate 5 and the speed 7 are known in a predetermined manner, all parameters are taken from the other inkjet printer 3 and only the DUC data 9 are re-measured. The basic model is designed such that model 2 is continuously adapted to the new data, whereby the quality of the predictions is continuously better; the more, the better.
The question of the model 2 for the purpose of solving the task (i.e. creating a suitable configuration 4,4a of the inkjet printer 3 taking into account DUC 9 and defective printing nozzles) can be expressed by way of example as:
a first problem is what kind of influence the substrate parameters 5 entered by the operator have on the ink quantity limits for each color (first process step).
A second problem is what kind of impact the substrate parameters 5 and ink volume limitations have on pinning and corona modulation (second treatment step).
A third problem is which effect the substrate parameters 5, ink volume limitation and pinning and corona modulation have on the DUC and MNC characteristics (third and fourth treatment steps, not directly related)
A fourth problem is what kind of influence all previous parameters and processes have on the calibration curve.
Fig. 2 shows a schematic illustration of the method according to the invention. The results provided by the database for each situation are such proposals: the inspection is to be performed by the operator based on a suitable test print (probedrive). If such a check is passed, the data set 4,4a is imported into the database. If the test is assessed as failed, then (as the case may be) some or all of the points of the current substrate identification process need to be performed. Depending on how the ranking is performed here, one or more intermediate checks may be performed. If one of these intermediate tests passes, the data set 4,4a is evaluated as good and saved.
For a better understanding, examples of how such questions may actually be answered are listed herein:
a) New substrate 5:
here, only the parameter 5 describing the substrate is predefined; all other parameters (e.g., pin setups, DUC feature curves, etc.) are calculated from model 2;
b) New printing speed 7:
here, only a new printing speed 7 is predefined; all other parameters were calculated from model 2.
c) Printhead replacement 8:
here, all parameters are retained except for the DUC feature curve, only the DUC process 9 has to be performed once. The DUC profile is then updated for all substrates present.
However, this list is not complete. Any number of other scenarios are possible, which are limited only by the number of feature values to be considered for the model 2.
In the case of a print head exchange 8 (which happens absolutely frequently), it is only necessary to detect a unique DUC characteristic from the reference substrate. The other characteristic curves are calculated according to model 2. Because the data model 2 is adaptive, the prediction quality is continually improved. Thus, the costs for substrate identification will continue to decrease.
List of reference numerals
1. Workflow computer
2. Data model
3. Printing machine
4,4a set of configuration data sets created
5. Parameters of the substrate
6a,6b,6c test printing
7. Printing speed
8. Printhead replacement
9. Density compensation (DUC treatment)
Claims (3)
1. A method for configuring an inkjet printer (3) with the aid of a computer (1) and a data model with a change in the printing substrate, the inkjet printhead composition or the printing speed, the method having the following steps: classifying, by means of a computer (1), individual tuning parameters of the inkjet printer (3) by means of a data model (2) created and trained for this purpose; storing the classified tuning parameters in a dataset set of a database; creating, by the computer (1), a new set of settings parameters for configuring the inkjet printer (3) for the determined print job based on the stored set of data in the event of a change in the printing substrate, inkjet printhead composition or printing speed; recalculating, by means of a computer (1), a set of tuning parameters for configuring the inkjet printer (3) with the aid of a trained data model (2) in the event of a change in the printing substrate, inkjet printhead composition or printing speed; performing test printing and checking whether the test printing is normal; adapting, by a computer (1), the set of data sets in the database to the changed tuning parameters, characterized in that the tuning parameters relate to the substrate, the inkjet printhead composition or the printing speed, and in that the categories for tuning parameters include: in the case of a change in at least one classified tuning parameter, which is run by a test or quantified by using a density compensation characteristic curve, for a printing substrate-specific category, a printer-specific category and a printing speed-specific category, the computer recalculates further tuning parameters influenced by the change in the at least one classified tuning parameter by means of a trained data model, and provides the data model with a set of data sets of tuning parameters of the inkjet printer for use, whereby the correlations and effects between the individual tuning parameters are linked by the data model.
2. The method of claim 1, wherein the tuning parameters comprise: -ink quantity limitation, pinning and corona tuning, and-characteristic curves for density compensation (9) and defective printing nozzle compensation, and-parameters for printing speed (7) and substrate transport and substrate properties (5).
3. Method according to claim 1 or 2, characterized in that the dataset of the database has historical tuning parameters not only with respect to the currently used inkjet printer but also with respect to other inkjet printers (3).
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP20164395.4 | 2020-03-20 | ||
| EP20164395.4 | 2020-03-20 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113492589A CN113492589A (en) | 2021-10-12 |
| CN113492589B true CN113492589B (en) | 2024-01-02 |
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| CN202110294200.2A Active CN113492589B (en) | 2020-03-20 | 2021-03-19 | Method for configuring an inkjet printer by means of a computer |
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| Country | Link |
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| EP (1) | EP4088934A1 (en) |
| CN (1) | CN113492589B (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115157865A (en) * | 2022-06-10 | 2022-10-11 | 深圳市印擎科技有限公司 | Printing control method, printing control device, printing system and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1013420A2 (en) * | 1998-12-22 | 2000-06-28 | SCITEX DIGITAL PRINTING, Inc. | Adjustable reliability parameters in ink jet printing systems |
| JP2002240320A (en) * | 2001-02-19 | 2002-08-28 | Seiko Epson Corp | Delivery of ink parameter data corresponding to cartridge id |
| JP2015174256A (en) * | 2014-03-14 | 2015-10-05 | 富士ゼロックス株式会社 | Fault prediction system, fault prediction device and program |
| WO2018025514A1 (en) * | 2016-08-01 | 2018-02-08 | アイマー・プランニング株式会社 | Printing machine having ductor roller, correction device, and printing machine correction method |
| US10124598B2 (en) * | 2015-06-26 | 2018-11-13 | Hewlett-Packard Development Company, L.P. | Print saturation calibration |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IT1320530B1 (en) * | 2000-07-10 | 2003-12-10 | Olivetti Lexikon Spa | INK-JET PRINTING SYSTEM AND METHOD TO CHECK THE PRINT QUALITY. |
| EP1206120A1 (en) * | 2000-11-10 | 2002-05-15 | GRETAG IMAGING Trading AG | Reducing artifacts in reproduced images |
| JP4716000B2 (en) * | 2005-03-04 | 2011-07-06 | ブラザー工業株式会社 | INK JET HEAD INSPECTION METHOD, INSPECTION SYSTEM, AND INK JET PRINTER |
| US20090315939A1 (en) * | 2008-06-24 | 2009-12-24 | Xerox Corporation | System And Method For Defective Inkjet Correction Using Edge Information In An Image |
| US8982413B2 (en) * | 2013-03-14 | 2015-03-17 | Xerox Corporation | Methods, systems and processor-readable media for dynamically detecting and switching profiling configurations |
| CN109955607B (en) * | 2017-12-14 | 2020-11-17 | 海德堡印刷机械股份公司 | Method for automatically calibrating a printing press having an image detection system by means of a computer |
| DE102018207728A1 (en) * | 2018-05-17 | 2019-11-21 | Heidelberger Druckmaschinen Ag | Compensation of density fluctuations |
-
2020
- 2020-03-20 EP EP22178062.0A patent/EP4088934A1/en active Pending
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- 2021-03-19 CN CN202110294200.2A patent/CN113492589B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1013420A2 (en) * | 1998-12-22 | 2000-06-28 | SCITEX DIGITAL PRINTING, Inc. | Adjustable reliability parameters in ink jet printing systems |
| JP2002240320A (en) * | 2001-02-19 | 2002-08-28 | Seiko Epson Corp | Delivery of ink parameter data corresponding to cartridge id |
| JP2015174256A (en) * | 2014-03-14 | 2015-10-05 | 富士ゼロックス株式会社 | Fault prediction system, fault prediction device and program |
| US10124598B2 (en) * | 2015-06-26 | 2018-11-13 | Hewlett-Packard Development Company, L.P. | Print saturation calibration |
| WO2018025514A1 (en) * | 2016-08-01 | 2018-02-08 | アイマー・プランニング株式会社 | Printing machine having ductor roller, correction device, and printing machine correction method |
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| Publication number | Publication date |
|---|---|
| CN113492589A (en) | 2021-10-12 |
| EP4088934A1 (en) | 2022-11-16 |
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