Method and apparatus for designing a magnetic plate

Patent metadata

Field	Value
Publication number	US-11651114-B2
Application number	US-202016919266-A
Country	US
Kind code	B2
Filing date	Jul 2, 2020
Priority date	Jul 4, 2019
Publication date	May 16, 2023
Grant date	May 16, 2023

Abstract

A method for designing a magnetic plate allowing magnetic particles contained in magnetic ink distributed at different densities includes estimating a distribution of the magnetic particles allowing the magnetic ink to be spread, estimating forms of magnetic field applying the magnetic force to the magnetic particles in order for the magnetic ink to be spread in a desired magnetic printing pattern within the printing layer, obtaining adjustment factors of the magnetic plate corresponding to the estimated forms of the magnetic field by using a model for which deep learning or machine learning has been performed using design conditions including at least one of an upper surface structure of the magnetic plate and a magnetization property of the magnetic plate and obtaining a parameter for the magnetic plate configured to form the magnetic printing pattern based on the obtained adjustment factors.

First claim

What is claimed is:

1. A method, using an apparatus, for designing a magnetic plate allowing magnetic particles contained in magnetic ink within a printing layer disposed on the magnetic plate to be distributed at different densities depending on magnetic force intensity of the magnetic plate, the method comprising:
estimating a distribution of the magnetic particles allowing the magnetic ink to be spread;
estimating forms of magnetic field applying the magnetic force to the magnetic particles in order for the magnetic ink to be spread in a desired magnetic printing pattern within the printing layer;
obtaining adjustment factors of the magnetic plate corresponding to the estimated forms of the magnetic field by using a model for which deep learning or machine learning has been performed using design conditions including at least one of an upper surface structure of the magnetic plate and a magnetization property of the magnetic plate; and
obtaining a parameter for the magnetic plate configured to form the magnetic printing pattern based on the obtained adjustment factors.

2. The method of claim 1 , wherein the adjustment factors of the magnetic plate contain factors influencing a magnetic domain structure of the magnetic plate corresponding to the magnetization property of the magnetic plate, and
the factors influencing the magnetic domain structure have at least one of an external magnetic field, temperature, mechanical stress and electromagnetic waves.

3. The method of claim 2 , further comprising:
training the model with the deep learning or the machine learning by using data sets including the magnetization property of the magnetic plate, defined as an input, and the factors influencing the magnetic domain structure, defined as an output.

4. The method of claim 1 , wherein the adjustment factors of the magnetic plate contain material properties and shapes depending on a material of the magnetic plate influencing the upper surface structure of the magnetic plate, and
the material properties have at least one of exchange stiffness constant, crystal anisotropy constant, saturation magnetization and Dzyaloshinskii-moriya constant.

5. The method of claim 4 , further comprising:
training the model with the deep learning or the machine learning by using data sets including the upper surface structure of the magnetic plate, defined as an input, and the material properties and the shapes depending on the material of the magnetic plate, defined as an output.

6. A non-transitory computer-readable storage medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method, using an apparatus, for designing a magnetic plate allowing magnetic particles contained in magnetic ink within a printing layer disposed on the magnetic plate to be distributed at different densities depending on magnetic force intensity of the magnetic plate, the method comprising:
estimating a distribution of the magnetic particles allowing magnetic ink to be spread;
estimating forms of magnetic field applying the magnetic force to the magnetic particles in order for the magnetic ink to be spread in a desired magnetic pattern within the printing layer;
obtaining adjustment factors of the magnetic plate corresponding to the estimated forms of the magnetic field by using a model for which deep learning or machine learning has been performed using design conditions including at least one of an upper surface structure of the magnetic plate and a magnetization property of the magnetic plate; and
obtaining a parameter for the magnetic plate configured to form the magnetic printing pattern based on the obtained adjustment factors.

7. An apparatus for designing a magnetic plate allowing magnetic particles contained in magnetic ink within a printing layer disposed on the magnetic plate to be distributed at different densities depending on magnetic force intensity of the magnetic plate, comprising:
a memory storing computer executable instructions and a processor configured to execute the computer executable instructions stored the memory in order to perform a method for designing the magnetic plate allowing magnetic particles, the method including:
receiving information regarding a desired magnetic printing pattern to which the magnetic ink is formed;
estimating a distribution of the magnetic particles allowing the magnetic ink to be spread;
estimating forms of magnetic field applying the magnetic force to the magnetic particles in order for the magnetic ink to be spread in the desired magnetic printing pattern within the printing layer;
obtaining adjustment factors of the magnetic plate corresponding to the estimated forms of the magnetic field by using a model for which deep learning or machine learning has been performed using design conditions including at least one of an upper surface structure of the magnetic plate and a magnetization property of the magnetic plate;
obtaining a parameter for the magnetic plate configured to form the magnetic printing pattern based on the obtained adjustment factors.

Assignees

• Ulsan National Institute Of Science And Tech

Inventors

• Lee Ki-Suk
• Jeong Daehan
• Han Hee Sung
• Kim Namkyu
• Kang Myeonghwan

Classifications

• G06F30/27

  using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model · CPC title

• G06F2119/14

  Force analysis or force optimisation, e.g. static or dynamic forces · CPC title

• G06F30/17 Primary

  Mechanical parametric or variational design · CPC title

• H01F41/24

  from liquids · CPC title

• H01F41/16

  the magnetic material being applied in the form of particles, e.g. by serigraphy {, to form thick magnetic films or precursors therefor} (H01F41/18 {-H01F41/24} take precedence) · CPC title