EP4062243A1 - Method for creating a virtual three-dimensional structural model - Google Patents
Method for creating a virtual three-dimensional structural modelInfo
- Publication number
- EP4062243A1 EP4062243A1 EP20811554.3A EP20811554A EP4062243A1 EP 4062243 A1 EP4062243 A1 EP 4062243A1 EP 20811554 A EP20811554 A EP 20811554A EP 4062243 A1 EP4062243 A1 EP 4062243A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- model
- structure model
- parameter
- manufacturing
- structural element
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 76
- 238000004519 manufacturing process Methods 0.000 claims abstract description 104
- 239000000463 material Substances 0.000 claims description 34
- 239000000654 additive Substances 0.000 claims description 28
- 230000000996 additive effect Effects 0.000 claims description 28
- 238000005457 optimization Methods 0.000 claims description 9
- 238000009826 distribution Methods 0.000 claims description 4
- 238000010146 3D printing Methods 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 238000013016 damping Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 3
- 230000001413 cellular effect Effects 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000005094 computer simulation Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007858 starting material Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000004154 testing of material Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/4097—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
- G05B19/4099—Surface or curve machining, making 3D objects, e.g. desktop manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49007—Making, forming 3-D object, model, surface
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/10—Additive manufacturing, e.g. 3D printing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
- G06T2219/20—Indexing scheme for editing of 3D models
- G06T2219/2021—Shape modification
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Definitions
- the present invention relates to a method for creating a virtual three-dimensional structure model of a body.
- the invention also relates to an additive manufacturing method, in particular a 3D printing method, for manufacturing a body.
- the invention also relates to a device for creating a virtual three-dimensional structure model of a body and / or for manufacturing the body.
- the invention also relates to a body produced using this method.
- WO 2017/123268 A1 discloses a system and a method for generating a shape-conforming lattice structure for a part formed by additive manufacturing.
- the method includes creating a computer model of the part and creating a finite element mesh.
- a lattice structure with a multiplicity of cellular lattice components can also be created.
- Some of the network elements of the finite element network can be deformed so that the finite element network corresponds to the overall shape of the part.
- the lattice structure can then be deformed in such a way that the lattice structure has a cellular periodicity which corresponds to the finite elements of the finite element network.
- the object of the present invention is to eliminate the disadvantages known from the prior art, in particular to improve the mechanical, thermal and / or aerodynamic properties of a body structure formed from a plurality of cells.
- a method for creating a virtual three-dimensional structure model of a body is to be understood in particular as a lattice structure and / or surface structure.
- the structure can be formed from a multiplicity of cells. These cells can have several interconnected structural elements, in particular surface elements and / or grid elements.
- a fill geometry and a base volume are first determined from a geometry model of the body.
- the geometry model can be a CAD model, for example.
- the filling geometry forms the envelope of the virtual body.
- the base volume forms the volume enclosed by the filling geometry.
- the base volume is accordingly at least partially framed by the filling geometry.
- This method step is preferably carried out at least partially manually by a user and / or in an automated manner by a computing unit.
- At least one numerical model of the body is created taking into account the filling geometry and / or the base volume.
- the numerical model can be an FE model (finite element model) and / or an FV model (finite volume model).
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- At least one variable is applied to the numerical model.
- the term “size” is essentially to be understood as an influencing and / or stress variable that acts on the body when it is used as intended.
- At least one mechanical, thermal and / or aerodynamic variable is applied to the numerical model. This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- a target property of the body is then determined on the basis of the numerical model to which the at least one variable is applied. This is preferably determined and / or specified by a user. Additionally or alternatively, this can be determined and / or specified in an automated manner by the computing unit.
- a mechanical, thermal and / or aerodynamic target property of the body is determined on the basis of the numerical model to which the at least one mechanical, thermal and / or aerodynamic variable is applied.
- the target properties of the body preferably mechanically, ther mix and / or aerodynamically set anisotropically.
- the body preferably has direction-dependent mechanical, thermal and / or aerodynamic target properties.
- This process step is preferably carried out at least partially manually by the user and / or automatically by the computing unit.
- structure model is to be understood as a virtual model of the body that is made up of a large number of cells.
- the cells can be formed from several structural elements connected to one another, in particular surface elements and / or grid elements.
- the structure model defines at least one actual property of the body.
- the structure model defines a mechanical, thermal and / or aerodynamic actual property of the body. This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the processing unit.
- the numerical model and / or the structure model is preferably fitted into the envelope geometry.
- the term "fitted" means that a cell of the numerical model and / or the structure model adjoining the envelope geometry is not cut off or divided by the envelope geometry, but rather its dimensions precisely match the envelope geometry. are adjusted so that the cell is flush with the envelope geometry.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- the structure model is iteratively optimized.
- the at least one mechanical, thermal and / or aerodynamic actual property of the body is adapted to the mechanical, thermal and / or aerodynamic target property of the body by changing at least one parameter of the structure model.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit. In this way, a structure model can advantageously be created that is characterized by improved mechanical, thermal and / or aerodynamic properties.
- the structure model is created taking into account and / or on the basis of structural proportions of the numerical model.
- structural proportions means those parameters of a numerical network of the numerical model that define the proportions of the individual cells of the numerical network.
- the structural proportions can be, for example, the corner points of the numerical network of the numerical model, in particular their coordinates.
- the structure model is preferably created on the basis of these structural proportions of the numerical model. This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- the target property and / or the actual property is reflected by at least one property tensor, in particular a stiffness tensor. It is advantageous if the mechanical, thermal and / or aerodynamic actual properties of the structure model are determined using the numerical model. This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- the structure model is formed from a multiplicity of cells which have several interconnected structural elements, in particular surface elements and / or lattice elements.
- the grid elements can be rods, for example, which are preferably connected to one another at nodes.
- At least one structure element parameter of at least one, in particular individual, structure element, in particular a cell is changed.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit. Accordingly, it is not the cell as a whole, but at least one, in particular individual, structural elements of the cell that are influenced and optimized one level of detail deeper. In this way, a cell can advantageously be created which has an optimized mechanically, thermodynamically and / or aerodynamically anisotropic behavior.
- the at least one, in particular individual, structural element is changed in such a way that it itself is mechanically, thermally and / or has aerodynamically anisotropic properties.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the processing unit.
- the structural element can preferably be designed in such a way that its mechanical, thermal and / or aerodynamic properties change in at least one of its three spatial directions, in particular continuously or variably.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- a material parameter and / or a geometry parameter of the structural element, in particular in one of its three spatial directions is changed as the structural element parameter.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- material parameters a density, a hardness, a strength (in particular tensile strength and / or compressive strength), an elasticity, a ductility, a material damping, a thermal expansion, a thermal conductivity, a heat resistance, a specific heat capacity and / or a cold toughness of the structural element, in particular in one of its three spatial directions, is changed.
- a thickness, a length, a cross-sectional shape and / or a contour of the structural element, in particular in one of its three spatial directions is changed as the geometry parameter.
- the structural element is changed in such a way that it has a variable thickness, in particular over its length. Accordingly, the structural element, in particular a rod element, can taper and / or thicken in areas.
- At least one structural element, in particular one which influences the mechanical, thermal and / or aerodynamic properties, of at least two structural elements of the same cell is designed differently from one another.
- the mechanical, thermal and / or aerodynamic properties of the cell can be made anisotropic.
- this anisotropic behavior of the cell can be set very precisely.
- This process step is preferably carried out at least partially manually by the user and / or automatically by the computing unit.
- the material properties of a material used in additive manufacturing can change as a result of changing temperature conditions during the manufacturing process. For example, the manufacturing space of an additive manufacturing device gradually heats up during additive manufacturing. As a result, the material used cools down faster at the beginning of the manufacturing process than at the end of the manufacturing process. Due to the different cooling times, the material properties of the starting material used for additive manufacturing can change. This in turn influences the mechanical, thermal and / or aerodynamic properties of the additively manufactured body. Because of this, it is advantageous if, during the iterative optimization of the structure model, at least one, in particular the at least one structural element parameter, an additive manufacturing parameter Manufacturing device is taken into account.
- This process step is preferably at least partially carried out manually by the user and / or automatically by the computing unit.
- a temperature distribution in the interior of a production area of the production device is taken into account as a production parameter. Additionally or alternatively, it is advantageous if a temperature change in the interior of the production space, in particular during the production of the body, is taken into account.
- the temperature distribution and / or temperature change can be determined empirically, for example.
- At least one parameter of the structure model in particular at least one structure element parameter of at least one individual structure element, is changed as a function of a manufacturing parameter. This ensures that the temperature conditions that change during the manufacturing process do not negatively affect the material properties of the manufactured body.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the processing unit.
- An additive manufacturing method for manufacturing a body is also proposed.
- a virtual three-dimensional structure model of the body is created.
- the method steps for creating the virtual three-dimensional structure model of the body are preferably carried out at least partially manually by a user and / or automatically by a computing unit.
- production data is created.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit.
- the body is then manufactured with the additive manufacturing device based on the manufacturing data.
- the virtual three-dimensional structure model of the body is created with a method for creating a virtual three-dimensional structure model according to the preceding description, wherein the features mentioned can be present individually or in any combination.
- a device for creating a virtual three-dimensional structure model of a body and / or for manufacturing the body comprises a computing unit for creating the virtual three-dimensional structure model of the body. Additionally or alternatively, the device comprises an additive manufacturing device for manufacturing the body.
- the computing unit of the device is designed in such a way that it can be used to create the virtual three-dimensional structure model of the body using a method according to the preceding description, wherein the features mentioned can be present individually or in any combination and / or the methods mentioned steps are at least partially carried out manually by the user and / or automatically by the processing unit.
- Figure 1 is a schematic representation of a device for creating a virtual three-dimensional structure model of a body and for manufacturing the body
- Figure 2 is a single cell of a structure
- FIG. 4 shows a flow chart for a method for creating a virtual three-dimensional structure model of a body, in particular with a computing unit, and / or for additive manufacturing of this body, in particular with an additive manufacturing device.
- FIG. 1 shows a computing unit 2 for creating a virtual three-dimensional structure model 19 of a body 5.
- the method of operation of the computing unit 2 is discussed in detail in the following description, particularly in FIG User and / or can be carried out automatically by the computing unit 2.
- FIG. 1 shows an additive manufacturing device 3 with which the body 5 can be manufactured in an additive manufacturing process.
- the manufacturing device 3 has a manufacturing space 8, in the interior of which the body 5 is Herge.
- the additive manufacturing device 3 has a manufacturing unit 4.
- the computing unit 2 and the additive manufacturing device 3 together form a device 1 for creating the virtual three-dimensional structure model 19 and for additive manufacturing of the body 5.
- the body 5 has a structure 6, only indicated in FIG. 1, which is formed from a multiplicity of cells 7.
- Each of these isolated cells 7 is shown as an example in FIG.
- Each of these cells 7 is formed from a plurality of structural elements 9 connected to one another.
- the structural elements 9 can be grid elements.
- the structural elements 9 can also be designed as surface elements.
- the structural elements 9 can be connected via nodes 10, of which only one is provided with a reference symbol in FIG. 2 for reasons of clarity.
- FIG. 3 shows a single structural element 9 of a cell 7.
- the present structural element 9 is designed in such a way that it has anisotropic properties. As a result, the structural element 9 has different properties depending on the direction.
- the structural element parameters 11 can be material parameters 12 and / or geometry parameters 13 (cf. FIG. 4).
- Material parameters 12 can be, for example, density, hardness, strength, elasticity, ductility, material damping, thermal expansion, thermal conductivity, heat resistance, specific heat capacity and / or cold toughness.
- the structural element 9 can have different material parameters 12 in a first section 14 than in a second section 15. In this example, the material parameters 12 thus change in a transverse direction of the structural element 9.
- the structural element parameters 11 can, however, also change in a longitudinal direction of the structural element 9. So changes in that In the present exemplary embodiment, a geometry parameter 13. Geometry parameters 13 can be the thickness, length, cross-sectional shape and / o the contour of the structural element 9. As FIG. 3 shows, in the case of the present structural element 9, the thickness of the structural element 9 changes over its length.
- FIG. 4 shows a flowchart for a manufacturing method for manufacturing the body 5.
- FIG. 4 also shows a method for creating a virtual three-dimensional structure model of the body 5. This method is carried out with the computing unit 2 shown in FIG.
- the method steps mentioned are preferably carried out at least partially manually by a user and / or in an automated manner by the computing unit 2.
- the processing unit 2 is instructed on input data that must be entered by a user, which are then processed by the processing unit 2.
- the subsequent step of additive manufacturing is carried out with the additive manufacturing device 3 shown in FIG.
- manufacturing parameters 28 of the additive manufacturing device 3 are taken into account.
- These production parameters 28 can be a temperature distribution in the production space 8 of the production device 3.
- the production parameters can preferably be recorded via sensors and / or entered manually by the user.
- a temperature change in the interior of the production space 8 during the production process can be taken into account as production parameter 28. So there are different temperatures in the production space 8, which also change during the production process.
- an area of the additively manufactured body 5 can cool down more quickly in one area of the production space 8 than in another area of the production space 8.
- the material properties of the body 5 change in order to take this influence of the production device 3 into account can, therefore a material data determination 17 is carried out.
- production-related material data 29 can also be and / or include limit values for material properties.
- a geometry model 16 of the body 5 is first created. Using the geometry model 16, an envelope geometry 25 and a base volume 26 are determined.
- the envelope geometry 25 here forms the outer skin of the body 5.
- the base volume 26 is thus enclosed by the envelope geometry 25.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2.
- a first numerical model 18 of the body 5 is then created.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2.
- the numerical model 18 has a numerical network, which is preferably built from numerical elements and / or these interconnecting corner points.
- the numerical model 18, in particular its numerical network is fitted into the envelope geometry 25.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2. As a result, the numerical network of the numerical model 18 does not protrude beyond the envelope geometry 25, but is fitted directly adjacent to it.
- the numeric cells located in the edge area of the numeric network are thus not cut off by the envelope geometry 25, but all completely dig and / or closed.
- the numerical model 18 can be an FE model (finite element model) and / or an FV model (finite volume model).
- the numerical model 18 is acted upon with at least one size 27 and / or several sizes (load collective).
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2. These can be influencing variables that act on the body 5 when it is used as intended.
- the sizes 27 are preferably mechanical, thermal and / or aerodynamic sizes 27.
- the production parameters 28 can be taken into account in this step. This takes place via the production-related material data 29.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2.
- setpoint properties 30 of the body 5 are determined taking into account the applied variables 27 and / or production-related material data 29. This is preferably done manually on the basis of empirical values by a user. Alternatively, however, this can also be done fully automatically by the computing unit 2, which for this purpose can preferably have an artificial intelligence.
- the setpoint properties 30 are mechanical, thermal and / or aerodynamic setpoint properties 30. These mechanical, thermal and / or aerodynamic setpoint properties 30 thus form the reference values that the structure 6 of the body 5 to be determined has should.
- the first numerical model 18 has structural proportions 33.
- structural proportions is to be understood as meaning those parameters of the first numerical network of the numerical model 18 which define the proportions of the individual cells of the numerical network.
- the structural proportions 33 can, for example, be the corner points of the the first numerical network of the numerical model 18, in particular its coordinates.
- a first structure model 19 is first created. This takes place on the basis of the structure proportions 33 of the numerical model 18. For this purpose, the structure proportions 33 are transferred to the first structure model 19.
- the structure model 19 is fitted into the envelope geometry 25 through the use of the structure proportions 33.
- the structure model 19 can be fitted into the envelope geometry 25 in this step. As a result, the structure of the structure model 19 does not protrude beyond the envelope geometry 25, but is fitted directly to it lying on it.
- the cells 7 located in the edge region of the structure are therefore not cut off by the envelope geometry 25, but rather are all complete and / or closed.
- the structure model 19 supplies at least one actual property tensor 31.
- This at least one actual property tensor 31 of the structure model 19 defines mechanical, thermal and / or aerodynamic actual properties 32 of the mathematical model. To check these actual properties 32, the at least one actual property tensor 31 of the structure model 19 is transferred to a second numerical model 20.
- the production-related material data 29 of the material data determination 17 can also be taken into account in this second numerical model 20.
- the above procedural steps are preferably carried out at least partially manually by the user and / or automatically by the computing unit 2.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2. If the mechanical, thermal and / or aerodynamic actual properties 32 still deviate too strongly from the mechanical, thermal and / or aerodynamic target properties 30, an iterative optimization of the structure model 19 takes place. As part of this iterative optimization the actual properties 32 so often matched to the target properties 30 until they match sufficiently.
- This method step is preferably carried out at least partially manually by the user and / or automatically by the computing unit 2.
- a parameter adjustment 22 takes place.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2.
- at least one parameter, in particular a structural element parameter 11, of the structure model 19 is changed.
- the term “structural element parameter” is to be understood as a parameter of an individual structural element 9. Accordingly, at least one structural element parameter 11 of at least one individual structural element 9 of a cell 7 is changed (see FIG. 2).
- the structural element 9 can be changed, for example, as shown in FIG.
- the at least one individual structural element 9 is changed in such a way that it has mechanically, thermally and / or aerodynamically anisotropic properties.
- the at least one structural element parameter 11 can be designed to be variable in one spatial direction of the structural element 9.
- the structure parameter 11 can be a material parameter 12 and / or the one geometry parameter 13 of the structure element 9.
- the structure model 19 can accordingly have at least one cell 7 in which at least one structure element parameter 11 of at least two structure elements 9 of the same cell 7 are designed differently from one another.
- production data is generated 23.
- suitable production data are created for the additive manufacturing device 3.
- This method step is preferably carried out at least partially manually by the user and / or in an automated manner by the computing unit 2.
- the production-related material data 29 can also be taken into account. The result of this is precise positioning of the body 5 to be manufactured in the manufacturing space 8 of the manufacturing device 3.
- the manufacturing 24 takes place in the manufacturing device 3.
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Abstract
Description
Claims
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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DE102019131243 | 2019-11-19 | ||
DE102019135526.5A DE102019135526A1 (en) | 2019-11-19 | 2019-12-20 | Method for creating a virtual three-dimensional structure model |
PCT/EP2020/082656 WO2021099451A1 (en) | 2019-11-19 | 2020-11-19 | Method for creating a virtual three-dimensional structural model |
Publications (1)
Publication Number | Publication Date |
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EP4062243A1 true EP4062243A1 (en) | 2022-09-28 |
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EP20811554.3A Pending EP4062243A1 (en) | 2019-11-19 | 2020-11-19 | Method for creating a virtual three-dimensional structural model |
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US (1) | US20220405435A1 (en) |
EP (1) | EP4062243A1 (en) |
JP (1) | JP2023501810A (en) |
CN (1) | CN114667491A (en) |
DE (1) | DE102019135526A1 (en) |
WO (1) | WO2021099451A1 (en) |
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AT505772B1 (en) * | 2007-10-19 | 2009-04-15 | Andata Entwicklungstechnologie | METHOD FOR CREATING A DESCRIPTION OF COMPLEX MATERIALS |
US20180071868A1 (en) * | 2014-11-27 | 2018-03-15 | MTU Aero Engines AG | Simulation method for developing a production process |
US10274935B2 (en) | 2016-01-15 | 2019-04-30 | Honeywell Federal Manufacturing & Technologies, Llc | System, method, and computer program for creating geometry-compliant lattice structures |
WO2018031594A1 (en) * | 2016-08-09 | 2018-02-15 | Arevo, Inc. | Systems and methods for structurally analyzing and printing parts |
US10737478B2 (en) * | 2017-02-24 | 2020-08-11 | Ford Global Technologies, Llc | Manufacture of vibration damping structures |
EP3376412A1 (en) * | 2017-03-15 | 2018-09-19 | Siemens Aktiengesellschaft | Method for creating a geometric dataset and a schedule for the additive production of a workpiece and computer program product and data network for carrying out this method |
EP3502931B1 (en) * | 2017-12-24 | 2023-03-15 | Dassault Systèmes | Designing a part by topology optimization |
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2019
- 2019-12-20 DE DE102019135526.5A patent/DE102019135526A1/en active Pending
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2020
- 2020-11-19 WO PCT/EP2020/082656 patent/WO2021099451A1/en unknown
- 2020-11-19 JP JP2022528350A patent/JP2023501810A/en active Pending
- 2020-11-19 EP EP20811554.3A patent/EP4062243A1/en active Pending
- 2020-11-19 US US17/777,774 patent/US20220405435A1/en active Pending
- 2020-11-19 CN CN202080078087.8A patent/CN114667491A/en active Pending
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US20220405435A1 (en) | 2022-12-22 |
WO2021099451A1 (en) | 2021-05-27 |
DE102019135526A1 (en) | 2021-05-20 |
CN114667491A (en) | 2022-06-24 |
JP2023501810A (en) | 2023-01-19 |
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