Display method and display device
The display method and device address the challenge of varying optical density in printing by predicting the penetration range and optical density of fabrics, enabling efficient and accurate fabric selection without the need for extensive test printing.
Patent Information
- Application Number
- JP2023191594
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-11-09
- Publication Date
- 2025-05-21
AI Technical Summary
The optical density in printing varies not only with printing conditions but also with the type of fabric, making test printing for each fabric time-consuming.
A display method and device that acquire physical property values of the fabric, predict the penetration range of droplets based on these values and a structural model of the yarn, and display a penetration image showing the predicted range.
This approach allows for efficient selection of fabrics by predicting the penetration range and optical density, reducing the time required for test printing and improving the accuracy of fabric selection.
Smart Images

Figure 2025079122000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to a display method and a display device. [Background technology]
[0002] For example, as shown in Patent Document 1, there is a printing device that supplies ink, which is an example of a liquid, to a printing target, which is an example of a fabric, to print. The printing device includes a printing device main body and a calibration unit. The color value, which is an example of optical density, varies depending on printing conditions such as the amount of ink printed, the amount of aggregating agent supplied, and the processing time in a drying device.
[0003] The printing device main body carries out test printing by changing the printing conditions. The calibration unit measures the test color value of the test printed object, and calibrates the printing device by correcting the printing conditions so that the test color value approaches the standard color value. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] JP 2014-50968 A Summary of the Invention [Problem to be solved by the invention]
[0005] The optical density varies depending on not only the printing conditions of Patent Document 1, but also the type of fabric. Appropriate printing can be performed by selecting a fabric according to the desired optical density. However, performing the test printing of Patent Document 1 for each fabric is time-consuming. [Means for solving the problem]
[0006] A display method that solves the above problem includes acquiring physical property values of the fabric to be printed, predicting the penetration range of droplets based on the acquired physical property values and a structural model of the yarn that constitutes the fabric, and displaying a penetration image showing the predicted penetration range.
[0007] A display device that solves the above problem comprises an acquisition unit that acquires physical property values of the fabric to be printed, a display unit capable of displaying an image, and a control unit that controls the display of the display unit, and the control unit predicts the penetration range of droplets based on the physical property values acquired by the acquisition unit and a structural model of the yarn that constitutes the fabric, and displays a penetration image showing the predicted penetration range on the display unit. [Brief description of the drawings]
[0008] [Figure 1] FIG. 1 is a schematic diagram of a printing system equipped with a display device. [Diagram 2] FIG. 2 is a schematic diagram of the fabric. [Diagram 3] FIG. 3 is a schematic diagram of the structural model. [Figure 4] FIG. 4 is a schematic diagram of a display unit that displays a penetration image. [Diagram 5] FIG. 5 is a flowchart showing the display routine. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0009] [Embodiment] Hereinafter, an embodiment of a display method and a display device will be described with reference to the drawings. <Printing system> As shown in FIG. 1, a printing system 11 may include a printing device 12, an input device 13, and a display device 14.
[0010] Printing device 12 of the present embodiment is, for example, an inkjet printer that prints images such as characters and photographs by ejecting ink, which is an example of liquid, onto fabric 16 shown in FIG.
[0011] 1, the printing device 12 may include a discharge unit 18. The discharge unit 18 is capable of discharging liquid from a plurality of nozzles (not shown). The discharge unit 18 prints an image on the fabric 16 by using the liquid discharged in the form of droplets.
[0012] The input device 13 may include an imaging unit 21 and an operation unit 22. The input device 13 inputs acquired information to the display device 14. 2, the imaging unit 21 is capable of imaging the fabric 16. The imaging unit 21 transmits imaging data obtained by imaging the fabric 16 to the display device 14. The imaging unit 21 is, for example, an X-ray CT device, a camera capable of taking micrographs, or the like.
[0013] As shown in FIG. 1, the operation unit 22 is operated by a user. The user can input information by operating the operation unit 22. The user may input information to the display device 14 by operating the operation unit 22. For example, the user may input at least one of the photographed data of the fabric 16, the physical property values of the fabric 16, the prediction accuracy, and the target optical density. The target optical density is the target optical density when printed on the fabric 16. The optical density is also called the OD value. The optical density indicates the degree of color development. The higher the optical density, the better the color development.
[0014] <Display device> The display device 14 may include an acquisition unit 24, a display unit 25, a storage unit 26, and a control unit 27.
[0015] The acquisition unit 24 acquires information from the input device 13 or the like. Specifically, the acquisition unit 24 acquires physical property values of the fabric 16 to be printed. The acquisition unit 24 may include, for example, a connector, a wireless receiving unit, and the like.
[0016] 2, fabric 16 is composed of a plurality of threads 29. For example, fabric 16 is a woven fabric in which a plurality of threads 29 are combined lengthwise and widthwise. One thread 29 is composed of a plurality of fibers 30. For example, thread 29 is spun by twisting a plurality of fibers 30.
[0017] The physical property values of fabric 16 in this embodiment include the size of gaps between multiple fibers 30 that make up yarn 29 and the thickness of fibers 30. Acquisition unit 24 may acquire the physical property values of fabric 16 by analyzing the imaging data acquired from imaging unit 21 or operation unit 22. Acquisition unit 24 may acquire the physical property values of fabric 16 inputted by operation unit 22.
[0018] 1, the display unit 25 is capable of displaying images. The display unit 25 is, for example, a liquid crystal display. The display unit 25 notifies the user by displaying various information.
[0019] 1 and 3, the storage unit 26 is, for example, a non-volatile memory. The storage unit 26 may store a structural model 32 of the yarn 29 constituting the fabric 16. The structural model 32 is a three-dimensional model composed of a plurality of fiber models 33. In this embodiment, the direction in which the yarn 29 extends is also referred to as a yarn line direction Dt. In this embodiment, the direction from the surface of the yarn 29 toward the inside of the yarn 29 is also referred to as a vertical direction Dv.
[0020] 1, the control unit 27 controls various operations executed by the display device 14. The control unit 27 controls the display of the display unit 25. The control unit 27 may comprehensively control each mechanism in the printing system 11. The control unit 27 may control various operations executed by the printing system 11.
[0021] The control unit 27 may be configured as a circuit including: α: one or more processors that execute various processes according to a computer program; β: one or more dedicated hardware circuits that execute at least some of the various processes; or γ: a combination thereof. The hardware circuit is, for example, an application specific integrated circuit. The processor includes a CPU and memory such as RAM and ROM, and the memory stores program code or instructions configured to cause the CPU to execute processes. The memory, i.e., computer-readable medium, includes any readable medium that can be accessed by a general-purpose or dedicated computer.
[0022] The control unit 27 may function as a range prediction unit 35, an optical density prediction unit 36, and an image creation unit 37 by executing a program stored in the storage unit 26. Therefore, it can be said that the control unit 27 has the range prediction unit 35, the optical density prediction unit 36, and the image creation unit 37.
[0023] 1 and 2, the range prediction unit 35 predicts a permeation range 39. The permeation range 39 is a range into which liquid spreads when one or more droplets are applied to the fabric 16. The range prediction unit 35 may predict the permeation range 39 in each of the yarn line direction Dt and the vertical direction Dv.
[0024] The optical density prediction unit 36 predicts the predicted optical density. The predicted optical density is the optical density in the penetration range 39 predicted by the range prediction unit 35. The optical density is proportional to the amount of liquid remaining on the surface of the yarn 29. That is, when the penetration range 39 in the vertical direction Dv is small, the optical density is larger than when the penetration range 39 in the vertical direction Dv is large. The optical density prediction unit 36 may predict the predicted optical density based on the penetration range 39 in the yarn line direction Dt and the vertical direction Dv.
[0025] The penetration range 39 in the vertical direction Dv increases as the gaps between the multiple fibers 30 increase. The size of the gaps between the multiple fibers 30 increases as the twist strength decreases. Therefore, the penetration range 39 in the vertical direction Dv is affected by the twist strength of the yarn 29. A loosely twisted yarn 29 has a larger penetration range 39 in the vertical direction Dv than a tightly twisted yarn 29.
[0026] As shown in Fig. 1 and Fig. 4, the image creation unit 37 creates a permeation image 41. The permeation image 41 is an image showing the permeation range 39 predicted by the range prediction unit 35, and is an image showing the degree of bleeding. The permeation image 41 may be an image showing a predicted print result when an image such as a pattern is printed on the fabric 16. The degree of bleeding increases as the permeation range 39 in the yarn line direction Dt increases.
[0027] <Display method> Next, the display method will be described with reference to the flowchart shown in Fig. 5. This display routine may be executed by the control unit 27 at a timing instructed by the user.
[0028] 5, in step S101, control unit 27 may acquire a target optical density. In step S102, control unit 27 may acquire a prediction accuracy. In step S103, control unit 27 acquires a physical property value of fabric 16. Control unit 27 acquires the target optical density, the prediction accuracy, and the physical property value of fabric 16 inputted by input device 13.
[0029] In step S104, control unit 27 predicts penetration range 39 of the droplets based on the acquired physical property values and structural model 32 of yarn 29 constituting fabric 16. At this time, control unit 27 may change the method of predicting penetration range 39 depending on the prediction accuracy.
[0030] For example, when the user selects high accuracy as the prediction accuracy, the range prediction unit 35 may predict the penetration range 39 by performing a fluid simulation. For example, the range prediction unit 35 corrects the structure model 32 with the physical property values of the fabric 16. Specifically, the range prediction unit 35 may correct the structure model 32 using at least one of the type of yarn 29, the material of yarn 29, the thickness of yarn 29, the number of yarns 29, the density of yarn 29, and the twist strength. The range prediction unit 35 may perform a fluid simulation on the corrected structure model 32, assuming a case where a droplet is attached thereto.
[0031] For example, when the user selects high speed, the acquisition unit 24 acquires low accuracy as the prediction accuracy. When the prediction accuracy is low accuracy, the range prediction unit 35 may predict the penetration range 39 from a calculation formula. Specifically, the range prediction unit 35 may calculate the penetration range 39 by substituting the physical property values of the fabric 16 into the calculation formula created from the structural model 32. The calculation formula may be stored in the storage unit 26.
[0032] In step S105, the control unit 27 may predict a predicted optical density. In step S106, the control unit 27 may compare the target optical density with the predicted optical density. If the predicted optical density is equal to or greater than the target optical density, step S106 becomes YES, and the control unit 27 moves the process to step S107. In step S107, the control unit 27 creates a permeation image 41. In step S108, the control unit 27 causes the display unit 25 to display the permeation image 41, and ends the process.
[0033] In step S106, if the predicted optical density is smaller than the target optical density, step S106 becomes NO. The control unit 27 shifts the process to step S109. In step S109, the control unit 27 may predict the predicted optical density of the fabric 16 with the twist strengthened by a predetermined amount. In step S110, the control unit 27 may compare the target optical density with the predicted optical density. If the predicted optical density is smaller than the target optical density, step S110 becomes NO. The control unit 27 shifts the process to step S109. That is, the control unit 27 strengthens the twist until the predicted optical density becomes equal to or greater than the target optical density, and then predicts the predicted optical density.
[0034] When the predicted optical density becomes equal to or greater than the target optical density, step S110 becomes YES, and control unit 27 transitions the process to step S111. In step S111, control unit 27 causes display unit 25 to display the twist strength at which the predicted optical density becomes equal to or greater than the target optical density as the recommended strength, and ends the process.
[0035] <Operation of the embodiment> The operation of this embodiment will be described. If the control unit 27 determines that the target optical density cannot be obtained with the fabric 16 to be printed, the control unit 27 may display a recommended twist strength. The user can select the fabric 16 by referring to the display.
[0036] When the predicted optical density is equal to or greater than the target optical density, the control unit 27 may display the permeation image 41. When the control unit 27 determines that the target optical density can be obtained for the fabric 16 to be printed, the control unit 27 may display the permeation image 41.
[0037] <Effects of the embodiment> The effects of this embodiment will be described. (1-1) A permeation range 39 is predicted based on the physical property values of the fabric 16, and a permeation image 41 showing the predicted permeation range 39 is displayed. Therefore, the user can select the fabric 16 by referring to the permeation image 41. Therefore, the selection of the fabric 16 can be easily performed.
[0038] (1-2) When the predicted optical density is equal to or greater than the target optical density, the permeation image 41 is displayed. Therefore, since it is possible to determine whether the optical density can be ensured, the fabric 16 can be more easily selected.
[0039] (1-3) The penetration range 39 can be easily predicted by using the size of the gaps between the multiple fibers 30 and the thickness of the fibers 30. By predicting the penetration range 39 in the fiber direction Dt and the perpendicular direction Dv, the predicted optical density can be easily predicted.
[0040] [Example of change] This embodiment can be modified as follows: This embodiment and the following modifications can be combined with each other to the extent that there is no technical contradiction.
[0041] The display unit 25 and the operation unit 22 may be an integrated touch panel. The control unit 27 may be provided in one of the printing device 12, the input device 13, and the display device 14, or may be provided in more than one by dividing the functions, for example. The control unit 27 may be provided in a control device (not shown) separate from the printing device 12, the input device 13, and the display device 14. For example, the control unit 27 may be provided in a server capable of communicating with the display device 14, etc.
[0042] The user may input the twist strength of the yarn 29 constituting the fabric 16 via the operation unit 22. The diameter of the yarn 29 and the gaps between the multiple fibers 30 are affected by the twist strength. A tightly twisted yarn 29 has a smaller diameter than a loosely twisted yarn 29. A tightly twisted yarn 29 has smaller gaps between the fibers 30 than a loosely twisted yarn 29. The acquisition unit 24 may acquire physical property values of the fabric 16 estimated from the twist strength.
[0043] The control unit 27 may cause the display unit 25 to display a permeation image 41 that is assumed to be printed on a fabric 16 with a recommended twist. The control unit 27 may cause the display unit 25 to display, side by side, permeation images 41 that are assumed to be printed on a plurality of fabrics 16 with different twists.
[0044] The control unit 27 may display the predicted optical density on the display unit 25. In this case, the user may confirm whether the displayed predicted optical density meets the target without inputting the target optical density.
[0045] The control unit 27 may create the structural model 32 from image data obtained by photographing the fabric 16, for example. The range prediction unit 35 may predict the range in which the liquid spreads in either the fiber direction Dt or the perpendicular direction Dv.
[0046] The control unit 27 may display the permeation image 41 regardless of the predicted optical density. The fabric 16 is made of yarn 29 and may be, for example, woven fabric, knitted fabric, felt, nonwoven fabric, or the like.
[0047] The liquid may be an ink containing a coloring material. The liquid may be a reactive liquid that reacts with the ink to solidify the ink. The liquid may be a coating liquid that protects the printed image.
[0048] The liquid may be any liquid that can be printed on the fabric 16 by adhering to the fabric 16. The liquid may be any liquid in a liquid phase, including liquids with high or low viscosity, sols, gel water, other inorganic solvents, organic solvents, solutions, liquid resins, liquid metals, and metal melts. The liquid includes not only liquids as one state of matter, but also particles of functional materials made of solids such as pigments and metal particles dissolved, dispersed, or mixed in a solvent. Representative examples of liquids include inks and liquid crystals. The ink includes various liquid compositions such as general water-based inks and oil-based inks, as well as gel inks and hot melt inks.
[0049] [Definition] The term "at least one" as used herein means "one or more" of the desired options. As an example, the term "at least one" as used herein means "only one option" or "both of two options" if the number of options is two. As another example, the term "at least one" as used herein means "only one option", "any combination of two options", or "any combination of three or more options" if the number of options is three or more.
[0050] [Note] The technical ideas and effects obtained from the above-described embodiment and modified examples will be described below.
[0051] (A) The display method includes acquiring physical property values of the fabric to be printed, predicting a penetration range of droplets based on the acquired physical property values and a structural model of the yarn that constitutes the fabric, and displaying a penetration image showing the predicted penetration range.
[0052] According to this method, the penetration range is predicted based on the physical properties of the fabric, and a penetration image showing the predicted penetration range is displayed. Therefore, the user can select the fabric by referring to the penetration image. Therefore, the user can easily select the fabric.
[0053] (B) The display method may include obtaining a target optical density, which is a target optical density, predicting a predicted optical density, which is the optical density of the penetration range, and comparing the target optical density with the predicted optical density, and may display the penetration image if the predicted optical density is greater than or equal to the target optical density.
[0054] According to this method, when the predicted optical density is equal to or greater than the target optical density, the penetration image is displayed, and therefore, it is possible to judge whether the optical density can be ensured, and therefore, it is possible to more easily select the fabric.
[0055] (C) In the display method, the physical property values may include the size of the gaps between the multiple fibers that make up the yarn and the thickness of the fibers, and the predicted optical density may be predicted based on the penetration range in the yarn line direction in which the yarn extends and the vertical direction toward the inside of the yarn.
[0056] According to this method, the penetration range can be easily predicted by using the size of the gaps between the fibers and the thickness of the fibers. By predicting the penetration range in the direction of the fibers and the direction perpendicular to the fibers, the predicted optical density can be easily predicted.
[0057] (D) The display device includes an acquisition unit that acquires physical property values of the fabric to be printed, a display unit capable of displaying an image, and a control unit that controls the display of the display unit, and the control unit predicts the penetration range of droplets based on the physical property values acquired by the acquisition unit and a structural model of the yarn that constitutes the fabric, and displays a penetration image showing the predicted penetration range on the display unit.
[0058] According to this configuration, it is possible to achieve the same effect as the above-mentioned display method. [Explanation of symbols]
[0059] 11...printing system, 12...printing device, 13...input device, 14...display device, 16...fabric, 18...discharge section, 21...imaging section, 22...operation section, 24...acquisition section, 25...display section, 26...memory section, 27...control section, 29...yarn, 30...fiber, 32...structural model, 33...fiber model, 35...range prediction section, 36...optical density prediction section, 37...image creation section, 39...penetration range, 41...penetration image, Dt...yarn line direction, Dv...vertical direction.
Claims
1. Acquiring physical property values of a fabric to be printed; predicting a penetration range of droplets based on the acquired physical property values and a structural model of yarns constituting the fabric; displaying a penetration image showing the predicted penetration range; and A display method comprising:
2. Obtaining a target optical density, which is a target optical density; predicting a predicted optical density, the predicted optical density being the optical density of the penetration range; comparing the target optical density to the predicted optical density; Including, The display method according to claim 1 , further comprising displaying the penetration image if the predicted optical density is equal to or greater than the target optical density.
3. The physical property values include the size of gaps between the multiple fibers constituting the yarn and the thickness of the fibers, The method of claim 2, further comprising predicting the predicted optical density based on the penetration range in a yarn line direction in which the yarn extends and in a perpendicular direction toward the inside of the yarn.
4. An acquisition unit that acquires physical property values of a fabric to be printed; A display unit capable of displaying an image; A control unit that controls the display of the display unit; Equipped with The control unit predicts the penetration range of a droplet based on the physical property values acquired by the acquisition unit and a structural model of the yarn that constitutes the fabric, and displays a penetration image showing the predicted penetration range on the display unit.
Citation Information
Patent Citations
Calibration method, calibration device, printing method and printing device
JP2014050968A