JP2017177462A - Structure strength prediction method, structure molding method, structure lamination molding support method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a structure strength prediction method capable of accurately predicting strength of structures molded by a lamination molding method.SOLUTION: This structure strength prediction method is a method for predicting the strength of a structure 3 molded by a lamination molding method, which acquires a lamination method of a material 31 including at least one selected from scanning direction, scanning pitch, lamination direction, and lamination pitch of the material 31, and estimates the strength of the structure 3 while considering anisotropy of the strength by the lamination method of the material 31.SELECTED DRAWING: Figure 8

Description

  The present invention relates to a structure strength prediction method, a structure modeling method, a structure additive manufacturing support method, and a program.

  Conventionally, a modeling method of a structure is known (see, for example, Patent Document 1).

  Patent Document 1 discloses a structure modeling method in which a material is scanned in a predetermined direction to form layers, and a three-dimensional structure is modeled by a layered modeling method in which a plurality of layers are stacked.

Japanese Patent Laid-Open No. 2003-039563

  Since the modeling method of the structure described in Patent Literature 1 scans the material in a predetermined direction to model the structure, the modeled structure is in a scanning direction and a direction different from the scanning direction. The strength is considered to be different. For this reason, the structure modeled by the additive manufacturing method as in Patent Document 1 has a problem that it is difficult to accurately predict the strength, unlike a structure molded in a mold.

  The present invention has been made to solve the above-described problems, and one object of the present invention is to provide a structure capable of accurately predicting the strength of a structure formed by the additive manufacturing method. It is to provide a strength prediction method, a structure modeling method, a structure additive manufacturing support method, and a program.

  In order to achieve the above object, a structure strength prediction method according to a first aspect of the present invention is a structure strength prediction method formed by a layered manufacturing method, and includes a material scanning direction, a scanning pitch, and a stacking direction. A material laminating method including at least one of the laminating pitches is obtained, and the strength of the structure is estimated in consideration of strength anisotropy by the material laminating method.

  In the structure strength prediction method according to the first aspect of the present invention, as described above, a material laminating method including at least one of a material scanning direction, a scanning pitch, a laminating direction, and a laminating pitch is obtained, and the material The strength of the structure is estimated in consideration of the strength anisotropy by the lamination method. As a result, the strength of the entire structure can be estimated in consideration of the strength anisotropy of the structure based on the material lamination method. Can be predicted.

  In the structure strength prediction method according to the first aspect described above, preferably, the strength is estimated by grouping portions having a common material lamination method, and assuming that the strength anisotropy of the grouped portions is equal. , Including estimating the strength of the structure. If comprised in this way, since the intensity | strength can be estimated by the same analysis of the part grouped in common with the lamination | stacking method of material, it can suppress that the prediction of the intensity | strength of a structure becomes complicated. it can.

  In this case, preferably, the structure is configured such that after the edge is scanned, the solid part inside the edge is scanned to form the layer, and estimating the strength is Grouping the edges as a first group to estimate the strength of the edges of the structure, and grouping the solid portions as a second group to estimate the strength of the solid parts of the structure. If comprised in this way, the edge part used as the boundary surface of a structure will be made into the 1st group, and the intensity | strength of the boundary surface of a structure can be estimated easily. Moreover, since the strength can be predicted separately from the boundary surface of the structure with the inside of the structure as the second group, the strength of the structure can be predicted with higher accuracy.

  In the structure strength prediction method according to the first aspect, preferably, the structure is configured so that the scanning direction of the material is different between adjacent layers, and the strength is estimated. , Including estimating the strength of the structure as having anisotropy of strength in a plurality of directions. According to this configuration, the strength of the structure can be estimated based on a plurality of scanning directions of the material, and the strength of the structure can be estimated by giving anisotropy of strength in a plurality of directions. Can be predicted.

  In the structure strength prediction method according to the first aspect, preferably estimating the strength includes changing the scanning direction of the material in the layer and estimating the strength of a plurality of types of structures. Based on the estimated intensity, the scanning direction of the material in the layer forming the structure is determined. If comprised in this way, since the scanning direction of the material at the time of modeling a structure can be determined so that desired intensity | strength may be satisfy | filled, desired intensity | strength can be ensured in the modeled structure.

  The structure modeling method according to the second aspect of the present invention estimates the strength of a structure to be modeled in consideration of the strength anisotropy in the scanning direction of the material in the layer, and based on the estimated strength, the structure The scanning direction of the material for modeling is determined, and the structure is modeled by laminating the materials by the layered modeling method.

  In the structure modeling method according to the second aspect of the present invention, as described above, the strength of the structure to be modeled is estimated in consideration of the strength anisotropy in the scanning direction of the material in the layer. As a result, the strength of the entire structure can be estimated in consideration of the strength anisotropy of the structure based on the scanning direction of the material. Therefore, the strength of the structure formed by the additive manufacturing method can be accurately determined. Can be predicted. Moreover, based on the estimated intensity | strength, the scanning direction of the material which models a structure is determined, and a structure is modeled by laminating | stacking material by the layered modeling method. Thereby, since the scanning direction of the material at the time of modeling a structure can be determined so that desired intensity | strength may be satisfy | filled, it can suppress that the intensity | strength of the modeled structure becomes small.

  The layered modeling support method for a structure according to the third aspect of the present invention estimates the strength of the structure to be modeled in consideration of the strength anisotropy in the scanning direction of the material in the layer, and the estimated strength of the structure is When the value is less than the predetermined value, a reinforcing member is added, and a material is stacked by a layered manufacturing method to teach a structure to be formed.

  In the layered modeling support method for a structure according to the third aspect of the present invention, as described above, the strength of the structure to be modeled is estimated in consideration of the strength anisotropy in the scanning direction of the material in the layer. As a result, the strength of the entire structure can be estimated in consideration of the strength anisotropy of the structure based on the scanning direction of the material. Therefore, the strength of the structure formed by the additive manufacturing method can be accurately determined. Can be predicted. Further, when the estimated strength of the structure is less than a predetermined value, a reinforcing member is added, and a material is laminated by a layered modeling method to teach the structure. Thereby, the intensity | strength of the structure shape | molded by reinforcing a structure with a reinforcement member can be raised effectively.

  A program according to a fourth aspect of the present invention is a computer that executes a structure strength prediction method according to the first aspect, a structure modeling method according to the second aspect, or a structure modeling support method according to the third aspect. To run.

  In the program according to the fourth aspect of the present invention, as described above, the structure strength prediction method according to the first aspect, the structure modeling method according to the second aspect, or the structure lamination according to the third aspect. By causing the computer to execute the modeling support method, the strength of the structure modeled by the layered modeling method can be accurately predicted.

  According to the present invention, as described above, it is possible to accurately predict the strength of a structure modeled by the additive manufacturing method.

It is the block diagram which showed the outline of the structure modeling apparatus by one Embodiment. It is the figure which showed the 1st lamination example of the material by one Embodiment. It is the figure which showed the example of a mesh of the finite element method of the structure by one Embodiment. It is the figure which showed the 2nd lamination example of the material by one Embodiment. It is the figure which showed the 3rd lamination example of the material by one Embodiment. It is the graph which showed the stress with respect to the distortion for creation of the physical property of the structure by one Embodiment. It is the graph which showed the example of the physical property for the prediction of the intensity | strength of the structure by one Embodiment. It is a flowchart for demonstrating the intensity | strength prediction process of the structure by one Embodiment. It is a flowchart for demonstrating the modeling process of the structure by one Embodiment. It is a flowchart for demonstrating the modeling method teaching process of the structure by one Embodiment.

  DESCRIPTION OF EXEMPLARY EMBODIMENTS Embodiments of the invention will be described below with reference to the drawings.

[This embodiment]
(Structure of structure modeling device)
With reference to FIGS. 1-7, the structure of the structure shaping apparatus 100 by this embodiment is demonstrated.

  As shown in FIG. 1, the structure modeling apparatus 100 includes a computer 1 and a 3D printer 2. The computer 1 is configured to execute the program 11.

  The computer 1 is configured to perform control to form the structure 3 by the 3D printer 2 based on the three-dimensional data of the structure 3 (see FIG. 2). In addition, the computer 1 is configured to execute the program 11 to predict (estimate) the strength of the structure 3 to be shaped. Note that the computer 1 that executes intensity prediction may be provided separately from the 3D printer 2. That is, if the computer 1 can read the stacking information from the 3D printer 2 in the form of electronic data, the computer 1 can predict the strength of the structure 3 even if it is provided separately from the 3D printer 2.

  The 3D printer 2 is configured to model a three-dimensional (three-dimensional) structure 3 by an additive manufacturing method. Specifically, the 3D printer 2 is configured to form the structure 3 by scanning the thread-like material 31 in a predetermined direction. The 3D printer 2 is configured to form the structure 3 by stacking the materials 31. For example, as shown in FIG. 2, the 3D printer 2 scans the material 31 in the X direction to form a layer, and scans the material 31 in the Y direction orthogonal to the X direction to form a layer. Is repeated to form the structure 3 by laminating the materials 31 in the Z direction. The material 31 is made of a resin or metal that can be melted by the 3D printer 2. For example, the 3D printer 2 models the structure 3 by a hot melt lamination method (FDM method). The structure 3 shown in FIGS. 2 to 5 has a cubic shape, but the shape of the structure 3 is not limited to the cubic shape.

  Here, in the present embodiment, the computer 1 is configured to obtain a method for laminating the material 31 including at least one of the scanning direction, the scanning pitch, the laminating direction, and the laminating pitch of the material 31. The computer 1 is configured to estimate the strength of the structure 3 in consideration of the strength anisotropy by the method of laminating the materials 31. The computer 1 is configured to estimate the strength of the structure 3 by modeling the strength anisotropy. Note that the scanning direction of the material 31 may be set by the 3D printer 2, or information set by the computer 1 may be used by the 3D printer 2. For example, the computer that controls the 3D printer 2 may not include a program for predicting the strength. That is, the computer that predicts the strength of the structure 3 and the computer that operates the 3D printer 2 may be separate computers. Further, the scanning pitch and the stacking pitch of the material 31 may be set based on the thickness of the thread-like material 31. The stacking direction may be the Z direction (up and down direction), the horizontal direction (XY direction), or the oblique direction inclined from the horizontal direction.

  The computer 1 is configured to predict (estimate) the strength of the structure 3 by a finite element method. For example, as shown in FIG. 3, the computer 1 virtually divides the structure 3 into a plurality of meshes, and gives physical properties such as elastic modulus, Poisson's ratio, Young's modulus, and density to each structure 3. It is configured to predict (estimate) the overall intensity. Further, the mesh interval is set to be larger than the diameter of the thread-like material 31. Thereby, since it can suppress that the space | interval of a mesh becomes small too much and the total number of meshes increases, it can suppress that the intensity | strength prediction process by the computer 1 becomes complicated.

  In addition, the computer 1 is configured to estimate the strength of the structure 3 by grouping portions having a common lamination method of the materials 31 and assuming that the strength anisotropy of the strength of the grouped portions is equal. For example, as shown in FIG. 4, when the computer 1 scans the edge of the structure 3 and then scans the solid part inside the edge to form a layer, the edge is set to the first group. The solid portion is grouped as 32 to estimate the strength of the edge of the structure 3, and the solid portion is grouped as the second group 33 to estimate the strength of the solid portion of the structure 3. Here, when the edge is very thin as shown in FIG. 4, when the mesh (element) is divided equally as shown in FIG. 3, the outermost element is mixed with the edge and the solid part inside. There is a possibility that accurate intensity estimation cannot be performed. Therefore, the shape of the element for predicting the intensity may be different between the first group 32 and the second group 33. For example, the prediction (estimation) of the intensity may be performed with the first group 32 as a set of plate-shaped elements and the second group 33 as a set of cube-shaped elements. In this case, the first group 32 that is the edge of the structure 3 is divided into elements having a thickness substantially equal to the edge. Thereby, since it can suppress that a some group is mixed in one element, it is possible to estimate intensity | strength more accurately. In addition, since strength estimation can be performed while suppressing an excessive increase in the number of elements for predicting strength, it is possible to suppress an increase in the processing load of strength estimation and processing It is possible to suppress an increase in time.

  In addition, as shown in FIG. 2, when the structure 3 is modeled so that the scanning direction of the material 31 is different between adjacent layers, the structure 3 has anisotropy of strength in a plurality of directions. As a thing, it is comprised so that the intensity | strength of the structure 3 may be estimated.

  Further, the computer 1 estimates the strength of the plurality of types of structures 3 by changing the scanning direction (lamination method) of the material 31 in the layer, and based on the estimated strengths, in the layer that forms the structure 3 The scanning direction of the material 31 is determined. For example, the computer 1 models the structure 3 by the scanning direction (laminating method) of the material 31 that models the structure 3 having the highest strength among the plurality of types of structures 3 having different scanning directions of the material 31. Control. Moreover, when the direction of the load applied to the completed structure 3 is determined in a predetermined direction, evaluation may be performed with emphasis on the strength in the predetermined direction. For example, the structure 3 may be controlled by determining the scanning direction (lamination method) of the material 31 so that the strength in a predetermined direction in which the load applied to the structure 3 increases.

  Further, the computer 1 determines the scanning direction of the material 31 for modeling the structure 3 based on the estimated strength, controls the 3D printer 2 and stacks the material 31 by the layered modeling method to form the structure 3. It is configured to model. Further, when the estimated strength of the structure 3 is less than a predetermined value, the computer 1 adds the reinforcing member 34 and stacks the material 31 by the layered manufacturing method to form the structure 3 as shown in FIG. Is configured to teach.

  For example, when estimating (creating) the physical properties of the structure 3, the computer 1 varies the stress with respect to the strain in the scanning direction of the material 31 and in the direction orthogonal to the scanning direction, as shown in FIG. 6. To estimate physical properties. For example, the stress in the direction perpendicular to the scanning direction is subtracted from the stress in the scanning direction by a predetermined ratio to estimate the physical properties. That is, the computer 1 estimates physical properties based on the lamination method. In this case, the physical properties may be obtained based on experimental values, or the physical properties may be obtained by calculation such as a homogenization method.

  Further, the computer 1 gives physical properties to each mesh of the finite element method (see FIG. 3) in consideration of anisotropy based on the estimated physical properties, as shown in FIG. For example, when stacked as in the first stacking example shown in FIG. 2, the physical properties in the X direction and the Y direction (scanning direction) are given to be equal, and the physical properties in the Z direction (stacking direction) are the X direction. And smaller than the Y direction. And the computer 1 is comprised so that the intensity | strength of the structure 3 may be estimated in consideration of restraint conditions and load conditions in addition to such physical properties.

  The computer 1 is configured to determine whether the structure 3 is broken based on the strength of the structure 3 in consideration of the strength anisotropy by the method of laminating the materials 31.

(Structure strength prediction processing)
Next, the strength prediction process for a structure will be described with reference to FIG. The structure strength prediction process is executed by the computer 1.

  In step S1 of FIG. 8, a method for laminating the material 31 is acquired. The method of laminating the material 31 may be determined based on the shape of the structure 3 or may be determined by the user. In step S <b> 2, grouping is performed based on the material 31 stacking method. Specifically, the parts having the same layering method of the material 31 are grouped. For example, in the case of the second stacked example shown in FIG. 4, the edge portion is the first group 32 and the solid portion (painted portion) is the second group 33. Moreover, in the case of the 1st lamination example shown in FIG. 2, the whole structure 3 is made into one group.

  In step S3, the partial strength of the structure 3 is estimated for each group in consideration of the strength anisotropy based on the method of laminating the materials 31. In step S4, the strength of the entire structure 3 is predicted. Thereafter, the structure strength prediction process is terminated.

(Structural modeling process)
Next, with reference to FIG. 9, the modeling process of a structure is demonstrated. Note that the modeling process of the structure is executed by the computer 1.

  In step S11 of FIG. 9, the strength of the structures 3 of a plurality of types in which the scanning direction (lamination method) of the material 31 is changed is estimated. In step S12, the scanning direction (lamination method) of the material 31 is determined based on the estimated strength of the structure 3. That is, the scanning direction (lamination method) is determined so as to form the structure portion 3 so that the strength is increased.

  In step S <b> 13, the structure 3 is formed by the scanning direction (lamination method) determined by controlling the 3D printer 2. Thereafter, the modeling process of the structure is completed.

(Structure modeling method teaching process)
Next, a structure modeling method teaching process will be described with reference to FIG. The structure modeling method teaching process is executed by the computer 1.

  In step S21 of FIG. 10, the strength of the structure 3 is estimated in consideration of the strength anisotropy based on the scanning direction (lamination method) of the material 31. In step S22, it is determined whether or not the estimated strength of the structure 3 is less than a predetermined value. If it is less than the predetermined value, the process proceeds to step S23, and if it is equal to or greater than the predetermined value, the process proceeds to step S24. The predetermined value may be determined by multiplying the predicted maximum stress by the safety factor.

  In step S23, as shown in FIG. 5, the reinforcing member 34 is added to estimate the strength of the structure 3. The reinforcing member 34 is formed in a columnar shape from metal, for example. When the reinforcing member 34 is added, the structure 3 scans and laminates the material 31 around the reinforcing member 34 with the reinforcing member 34 standing. The reinforcing member 34 preferably has different physical properties from the material 31. In particular, the reinforcing member 34 is preferably stronger than the material 31. Thereafter, the process returns to step S22.

  In step S22, it is determined whether or not the strength of the structure 3 estimated by adding the reinforcing member 34 is less than a predetermined value. If it is equal to or greater than the predetermined value, the process proceeds to step S24. If it is less than a predetermined value, it will progress to step S23 and the reinforcement member 34 will be changed and the intensity | strength of the structure 3 will be estimated. As the reinforcing member 34 after the change, one having a higher strength than the reinforcing member 34 before the change is selected. For example, the reinforcing member 34 after the change may be selected from a material having a higher strength than the reinforcing member 34 before the change. In addition, the reinforcing member 34 after the change may be selected to have a structure having higher strength than the reinforcing member 34 before the change. In addition, the reinforcing member 34 after the change may be selected to be larger than the reinforcing member 34 before the change. Thereafter, the process returns to step S22. In step S22, the processes in steps S22 to S23 are repeated until it is determined that the estimated strength of the structure 3 is equal to or greater than a predetermined value.

  If it is determined in step S22 that the estimated strength of the structure 3 is greater than or equal to a predetermined value, a modeling method is taught in which the strength of the structure 3 is greater than or equal to a predetermined value in step S24. Thereafter, the structure modeling method teaching process is terminated.

(Effect of this embodiment)
Next, the effect of this embodiment will be described.

  In the present embodiment, as described above, the method of laminating the material 31 including at least one of the scanning direction, the scanning pitch, the laminating direction, and the laminating pitch of the material 31 is obtained, and the strength is different due to the laminating method of the material 31. The strength of the structure 3 is estimated in consideration of the characteristics. As a result, the strength of the entire structure 3 can be estimated in consideration of the anisotropy of the strength of the structure 3 based on the method of laminating the material 31. The intensity can be predicted with high accuracy.

  In the present embodiment, as described above, the parts having the same layering method of the material 31 are grouped, and the strength of the structure 3 is estimated on the assumption that the strength anisotropy of the grouped parts is equal. Thereby, since the intensity | strength can be estimated by the same analysis about the part which the lamination | stacking method of the material 31 was grouped in common, it can suppress that the prediction of the intensity | strength of the structure 3 becomes complicated.

  In the present embodiment, as described above, the edge is grouped as the first group 32 to estimate the strength of the edge of the structure 3, and the solid portion is grouped as the second group 33. The strength of the solid part of the object 3 is estimated. Thereby, the edge part used as the boundary surface of the structure 3 can be easily estimated as the 1st group 32, and the intensity | strength of the boundary surface of the structure 3 can be estimated. Moreover, since the inside of the structure 3 can be predicted as the second group 33 separately from the boundary surface of the structure 3, the strength of the structure 3 can be predicted with higher accuracy.

  In the present embodiment, as described above, when the structure 3 is shaped so that the scanning direction of the material 31 is different between adjacent layers, the structure 3 has anisotropy of strength in a plurality of directions. As a result, the strength of the structure 3 is estimated. Thereby, since the intensity | strength of the structure 3 can be estimated based on the some scanning direction of the material 31, giving the anisotropy of the intensity | strength of a some direction, the intensity | strength of the structure 3 can be estimated more accurately. can do.

  In the present embodiment, as described above, the strength of the plurality of types of structures 3 is estimated by changing the scanning direction of the material 31 in the layer, and the structure 3 is formed based on the estimated strength. The scanning direction of the material 31 in the layer is determined. Thereby, since the scanning direction of the material 31 when modeling the structure 3 can be determined so as to satisfy the desired strength, the desired strength can be secured in the modeled structure 3.

  In the present embodiment, as described above, based on the estimated strength, the scanning direction of the material 31 for modeling the structure 3 is determined, and the material 31 is stacked by the layered modeling method to model the structure 3. To do. Thereby, since the scanning direction of the material 31 at the time of modeling the structure 3 can be determined so that desired intensity | strength may be satisfy | filled, it can suppress that the intensity | strength of the modeled structure 3 becomes small.

  Moreover, in this embodiment, as above-mentioned, when the intensity | strength of the estimated structure 3 is less than predetermined value, the reinforcement member 34 is added and the structure 31 is modeled by laminating | stacking the material 31 by the layered modeling method. Teach as follows. Thereby, the strength of the structure 3 formed by reinforcing the structure 3 from the reinforcing member 34 can be effectively increased.

[Modification]
The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is shown not by the above description of the embodiment but by the scope of claims for patent, and further includes all modifications (modifications) within the meaning and scope equivalent to the scope of claims for patent.

  For example, in the said embodiment, although the example which models a structure by a hot melt lamination method was shown, this invention is not limited to this. In the present invention, the structure may be modeled by a layered modeling method other than the hot melt lamination method. For example, the structure may be formed by an optical modeling method, an inkjet method, or the like.

  Moreover, although the example of the structure which estimates the intensity | strength of a structure by the finite element method was shown in the said embodiment, this invention is not limited to this. In the present invention, the strength of the structure may be predicted (estimated) by a method other than the finite element method. For example, the strength of the structure may be predicted by a finite difference method, a boundary element method, a particle method, or the like.

  Moreover, in the said embodiment, although the example of the structure which estimates the intensity | strength of a structure based on the lamination | stacking method of the material containing a lamination direction and a lamination pitch was shown, this invention is not limited to this. Here, although the effect is small compared with the stacking direction and stacking pitch, etc., the material shrinkage and the discharge amount from the 3D printer change depending on the material temperature at the time of modeling, so warpage deformation and local density change etc. May occur and may affect the strength of the structure. For this reason, in the present invention, the material temperature information may also be acquired to estimate the strength of the structure.

  Moreover, in the said embodiment, although the example of the structure which divides | segments the edge part and solid part of a structure into a different group, and estimated the intensity | strength of a structure was shown, this invention is not limited to this. In the present invention, the strength of the structure may be predicted by grouping other than the edge and solid part of the structure. Moreover, you may divide | segment into 3 or more groups, and may estimate the intensity | strength of a structure.

  Moreover, in the said embodiment, although the example of the structure which scans a material to two directions orthogonal to a X direction and a Y direction was shown, this invention is not limited to this. In the present invention, the material may be scanned in one direction, or may be scanned in three or more directions. When scanning in a plurality of directions, the scanning directions do not have to be orthogonal to each other.

  Moreover, in the said embodiment, although the example of the structure shape | molded by making the inner side of a structure solid is shown, this invention is not limited to this. In the present invention, the inside of the structure may be hollow. In this case, in order to ensure strength, a column or a beam may be formed in the hollow portion.

  Moreover, in the said embodiment, although the example of the structure in which a reinforcement member has a column shape was shown, this invention is not limited to this. In the present invention, the reinforcing member may have a shape other than the cylindrical shape. For example, the reinforcing member may have a prismatic shape, or may have a bent or curved shape.

  Moreover, in the said embodiment, although the example of the structure by which the reinforcement member was formed with the metal was shown, this invention is not limited to this. In the present invention, the reinforcing member may be formed of other than metal. For example, the reinforcing member may be formed of resin, FRP (fiber reinforced plastic), or the like.

  In the above embodiment, for convenience of explanation, the processing operation of the computer has been described using a flow-driven flowchart in which processing is performed in order along the processing flow. However, the present invention is not limited to this. In the present invention, the processing operation of the computer may be performed by event-driven (event-driven) processing that executes processing in units of events. In this case, it may be performed by a complete event drive type or a combination of event drive and flow drive.

1 Computer 3 Structure 11 Program 31 Material 32 First Group 33 Second Group 34 Reinforcing Member

Claims (8)

It is a method for predicting the strength of a structure formed by the additive manufacturing method,
Obtaining a method of laminating a material including at least one of a scanning direction of the material, a scanning pitch, a laminating direction, and a laminating pitch;
A method for predicting the strength of a structure, which estimates the strength of the structure in consideration of anisotropy of strength due to a method of laminating materials.   The estimation of the strength includes grouping portions having common material lamination methods, and estimating the strength of the structure on the assumption that the strength anisotropy of the grouped portions is equal. The method for predicting the strength of a structure according to claim 1. The structure is configured such that after the edge is scanned, a solid part inside the edge is scanned to form a layer,
Estimating the strength includes grouping the edge as a first group to estimate the strength of the edge of the structure, and grouping the solid portion as a second group to determine the strength of the structure. The method for predicting the strength of a structure according to claim 2, comprising estimating the strength of the solid part. The structure is configured to be shaped so that the scanning direction of the material is different between adjacent layers,
The estimation of the strength includes estimating the strength of the structure as if the structure has anisotropy of strength in a plurality of directions. Strength prediction method for structures. Estimating the intensity includes changing the scanning direction of the material in the layer to estimate the intensity of the plurality of types of structures,
The structure strength prediction method according to any one of claims 1 to 4, wherein a scanning direction of a material in a layer forming the structure is determined based on the estimated intensity. Estimate the strength of the structure to be shaped in consideration of the strength anisotropy due to the scanning direction of the material in the layer,
A structure modeling method in which a scanning direction of a material for modeling the structure is determined based on the estimated strength, and the structure is modeled by stacking materials by a layered modeling method. Estimate the strength of the structure to be shaped in consideration of the strength anisotropy due to the scanning direction of the material in the layer,
When the estimated strength of the structure is less than a predetermined value, a reinforcement member is added, and a structure modeling support method for teaching that the structure is modeled by stacking materials by a layered modeling method.   The structure strength prediction method according to any one of claims 1 to 5, the structure modeling method according to claim 6, or the structure additive manufacturing support method according to claim 7. A program that causes a computer to execute.

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