A method for constructing a model based on temperature change and material fiber strength.

Abstract

This invention provides a method for constructing a model based on temperature change and material fiber strength, comprising: acquiring the geometric features of the target material and determining the point information of each solid point in the geometric features, and establishing a material structure model of the target material; performing finite element analysis on the material structure model to obtain thermal conductivity arrays and strength arrays based on different solid points; performing macroscopic analysis based on the structural layout of the target material to determine the surface to be analyzed and the coarsely selected region within the surface to be analyzed; identifying the first anomaly corresponding to the coarsely selected region, performing a second anomaly analysis on the region edge of the coarsely selected region to obtain a set of curves; performing temperature increase and decrease on the target material to obtain a set of curves; and constructing a temperature change and material fiber strength model based on all the curve sets and the model. This ensures the reliability of the model construction and guarantees the effective targeting of a specific material in subsequent applications.

Description

Technical Field

[0001] This invention relates to the field of model building technology, and in particular to a method for building a model based on temperature change and material fiber strength. Background Technology

[0002] The effects of temperature on various fibers differ, but they follow general patterns: under conditions of high fiber moisture regain, high temperature, and high thermal energy of fiber polymers, the flexibility of macromolecules improves, the intermolecular bonding strength weakens, fiber strength decreases, elongation at break increases, and tensile modulus decreases. Most fibers show an increase in strength with increasing relative humidity; the higher the moisture content in the fiber, the weaker the intermolecular bonding and the looser the crystalline regions, thus decreasing fiber strength, increasing elongation, and decreasing initial modulus. However, the breaking strength and elongation at break of natural cellulosic wool increase with increasing relative humidity. Among chemical fibers, polyester and polypropylene are essentially non-hygroscopic, and their strength and elongation are almost unaffected by relative humidity.

[0003] Therefore, it is particularly important to conduct targeted analysis for different types of fibers.

[0004] Therefore, this invention proposes a method for constructing a model based on temperature change and material fiber strength. Summary of the Invention

[0005] This invention provides a method for constructing a model based on temperature change and material fiber strength. The model is constructed by using the geometric characteristics of the material, and anomalies in the material are determined by combining finite element analysis and macroscopic analysis. Furthermore, sufficient sample size is obtained by collecting experimental data on temperature rise and temperature fall, ensuring the reliability of the model construction and ensuring effective targeting of a specific material in the future.

[0006] This invention provides a method for constructing a model based on temperature change and material fiber strength, comprising:

[0007] Step 1: Obtain the geometric features of the target material and determine the point information of each solid point in the geometric features, and establish a material structure model of the target material, wherein the point information includes: the point temperature and fiber strength of the corresponding solid point;

[0008] Step 2: Perform finite element analysis on the material structure model to obtain thermal conductivity and strength arrays based on different solid points;

[0009] Step 3: Perform macroscopic analysis based on the structural layout of the target material to determine the surface to be analyzed and the coarsely selected area within the surface to be analyzed;

[0010] Step 4: Based on the array acquisition results in the coarse-selected region of the same surface to be analyzed, determine the first anomaly of the corresponding coarse-selected region. At the same time, perform a second anomaly analysis on the region edge of the coarse-selected region of the same surface to be analyzed according to the preset truncation width.

[0011] Step 5: Based on the first and second anomaly results, obtain the first fluctuation curve of the corresponding surface to be analyzed, and obtain the first curve set of the target material. At the same time, increase the target material at a first preset temperature based on the current temperature to obtain the second curve set, and decrease the target material at a second preset temperature based on the current temperature to obtain the third curve set.

[0012] Step 6: Based on the first set of curves, the second set of curves, the third set of curves, and the material structure model, construct the temperature change and material fiber strength model.

[0013] Preferably, acquiring the geometric features of the target material and determining the point information of each solid point in the geometric features includes:

[0014] The target material is subjected to a three-dimensional scan to obtain point cloud data of each location on the target material, and a three-dimensional cloud map is constructed.

[0015] Determine the current occupied area of ​​the eight neighboring blocks in the three-dimensional cloud map and compare it with the standard area. If they are consistent, the eight neighboring blocks are reserved for the first time.

[0016] If there is a discrepancy, the current occupied area will be adjusted according to the standard area by stretching the boundary line and correcting the corresponding eight neighboring blocks.

[0017] The modified cloud map is geometrically decomposed to obtain multiple geometric blocks. Based on the block type of each geometric block, shape parameters are attached to the corresponding geometric block. The shape parameters include: surface shape, boundary shape, and point coordinates.

[0018] Based on the additional results, the point information of each 3D point is determined.

[0019] Preferably, establishing a material structure model of the target material includes:

[0020] Based on the coordinates of each solid point, the model is deployed in a preset three-dimensional coordinate system to obtain the initial model;

[0021] The initial model is rendered based on the point information of each 3D point to obtain the material structure model.

[0022] Preferably, finite element analysis is performed on the material structure model to obtain thermal conductivity arrays and strength arrays based on different three-dimensional points, including:

[0023] Based on the material properties of the target material, retrieve the finite element model of the target material from the property-model database;

[0024] The material structure model is analyzed and calculated according to the finite element model.

[0025] The daily manufacturing information is analyzed, and at the same time, the abnormal material performance output by the manufacturing is selected based on the analysis and calculation results;

[0026] When the analysis result is completely inconsistent with the selection result, the material structure model is cut first based on the performance coordinate line of the abnormal performance;

[0027] When the analysis result is completely consistent with the selection result, the manufacturing parameters that are consistent with the analysis result are obtained, and the manufacturing parameters are mapped to the model to perform a second cutting on the material structure model.

[0028] When the analysis result is not completely consistent with the selection result, the performance coordinate line of the abnormal performance and the model mapping result of the manufacturing parameters are combined and intersected. The intersection result is labeled first and the combination result is labeled second.

[0029] Based on the first and second annotation results, the coordinate lines are extended in both direction and length, and the material structure model is cut a third time based on the extension results.

[0030] Obtain the first initial array and the second initial data for each solid point, and optimize the corresponding first initial array and the second initial array according to the cutting method of each solid point to obtain the thermal conductivity array and the intensity array of the corresponding solid point.

[0031] Preferably, a macroscopic analysis is performed based on the structural layout of the target material to determine the surface to be analyzed and the coarsely selected area within the surface to be analyzed, including:

[0032] Locate the visual anomaly on the target material and determine the location of the visual anomaly.

[0033] Associate the display location with the structural layout;

[0034] Based on the location association results, the surface to be analyzed to which the intuitive anomaly belongs is determined, and the intuitive anomaly is coarsely selected on the surface to be analyzed.

[0035] Preferably, based on the array results obtained from the coarse-selected region within the same surface to be analyzed, the first anomaly of the corresponding coarse-selected region is determined, including:

[0036] Obtain a standard array of each 3D point in the coarse selection area, and construct a standard temperature curve and a standard intensity curve based on the standard data and the distribution of 3D points corresponding to the material texture of the target material.

[0037] Based on the array results and the corresponding three-dimensional point distribution, the first temperature curve and the first intensity curve are constructed.

[0038] The first temperature curve is compared with the standard temperature curve, and the first intensity curve is compared with the standard intensity curve to determine the first anomaly.

[0039] Preferably, based on the first anomaly result and the second anomaly result, a first fluctuation curve corresponding to the surface to be analyzed is obtained, resulting in a first set of curves for the target material, including:

[0040] Based on the first and second anomaly results, a separate curve is constructed for the material texture of the surface to be analyzed, and this curve is used as the first fluctuation curve.

[0041] All the first fluctuation curves are regarded as the first set of curves of the target material.

[0042] Preferably, based on the first set of curves, the second set of curves, the third set of curves, and the material structure model, a model for temperature change and material fiber strength is constructed, including:

[0043] The material structure model is rendered using the first set of curves, the second set of curves, and the third set of curves.

[0044] Simultaneously, based on the normal fiber strength at different temperatures, the material structure model is rendered a second time;

[0045] Based on the first and second rendering results, a model of temperature change and material fiber strength is constructed.

[0046] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0048] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0049] In the attached diagram:

[0050] Figure 1 This is a flowchart illustrating a method for constructing a model based on temperature change and material fiber strength in an embodiment of the present invention.

[0051] Figure 2 This is a structural diagram of an eight-neighbor block in an embodiment of the present invention;

[0052] Figure 3 This is a structural diagram of the boundary line stretching in an embodiment of the present invention;

[0053] Figure 4 This is a comparison diagram of the analysis results and the selection results in an embodiment of the present invention. Detailed Implementation

[0054] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0055] This invention provides a method for constructing a model based on temperature change and material fiber strength, such as... Figure 1 As shown, it includes:

[0056] Step 1: Obtain the geometric features of the target material and determine the point information of each solid point in the geometric features, and establish a material structure model of the target material, wherein the point information includes: the point temperature and fiber strength of the corresponding solid point;

[0057] Step 2: Perform finite element analysis on the material structure model to obtain thermal conductivity and strength arrays based on different solid points;

[0058] Step 3: Perform macroscopic analysis based on the structural layout of the target material to determine the surface to be analyzed and the coarsely selected area within the surface to be analyzed;

[0059] Step 4: Based on the array acquisition results in the coarse-selected region of the same surface to be analyzed, determine the first anomaly of the corresponding coarse-selected region. At the same time, perform a second anomaly analysis on the region edge of the coarse-selected region of the same surface to be analyzed according to the preset truncation width.

[0060] Step 5: Based on the first and second anomaly results, obtain the first fluctuation curve of the corresponding surface to be analyzed, and obtain the first curve set of the target material. At the same time, increase the target material at a first preset temperature based on the current temperature to obtain the second curve set, and decrease the target material at a second preset temperature based on the current temperature to obtain the third curve set.

[0061] Step 6: Based on the first set of curves, the second set of curves, the third set of curves, and the material structure model, construct the temperature change and material fiber strength model.

[0062] In this embodiment, the target material is related to fibers, and the fiber types include natural fibers and chemical fibers; wherein, natural fibers include plant fibers, animal fibers and mineral fibers; plant fibers: such as cotton, hemp, fruit fibers; animal fibers: such as wool, rabbit hair, silk; mineral fibers: such as asbestos.

[0063] Among them, chemical fibers include regenerated fibers, synthetic fibers and inorganic fibers. Regenerated fibers include: viscose fiber and acetate fiber; synthetic fibers include: nylon, polyester, acrylic fiber, spandex, vinylon, polypropylene and chlorofiber; inorganic fibers include: glass fiber and metal fiber.

[0064] In this embodiment, the target material is a physical object constructed from different fibers, such as clothing.

[0065] In this embodiment, since the target material is a solid object constructed based on one or more fibers, it will have geometric features, such as edges and lines. These features can be obtained using laser scanning technology by acquiring point cloud data. The geometric features of the material are obtained by acquiring point cloud data. The three-dimensional points are the coordinate points corresponding to the material, and each coordinate point contains the corresponding temperature and fiber strength. In other words, during the measurement process, the temperature and fiber strength of the point are measured once.

[0066] In this embodiment, the material structure model is a structural model obtained by rendering the corresponding point information on the scanned structure after performing a three-dimensional scan of the target material.

[0067] In this embodiment, finite element analysis refers to the microscopic analysis of the material structure model, that is, to perform microscopic magnification analysis on each point of the structure to determine the thermal conductivity array and strength data of different points. The thermal conductivity array includes: the actual temperature, transverse diffusion temperature, longitudinal diffusion temperature and vertical diffusion temperature of the corresponding coordinate point. The strength array includes: the actual fiber strength, transverse fiber strength, longitudinal fiber strength and vertical fiber strength of the corresponding coordinate point.

[0068] In this embodiment, macroscopic analysis refers to the analysis of overall anomalies of the material, that is, anomalies that can be directly seen with the naked eye, in order to select the anomalies and determine the coarse selection area.

[0069] In this embodiment, the array acquisition result is used for micro-level anomaly analysis, and the second anomaly analysis is used to expand the macro-level region for anomaly analysis.

[0070] In this embodiment, the purpose of analyzing the first and second anomalies is to effectively identify the anomalies present in the material, such as insufficient fiber strength caused by the material's lack of smoothness in the corresponding area.

[0071] In this embodiment, the first fluctuation curve includes fluctuations in different temperatures and intensities, and the second and third curve sets are similar.

[0072] In this embodiment, the temperature change and material fiber strength model is a model constructed by the same material under different temperatures and strengths. This model can effectively analyze the relationship between the temperature change and the material fiber strength change of the corresponding material.

[0073] In this embodiment, a second anomaly analysis is performed on the region edges of the coarsely selected area in the same surface to be analyzed, based on a preset truncation width, including:

[0074] Obtain the region edge of the coarse selection area, take the boundary point of the corresponding region edge as the center point, and vertically expand the corresponding center point according to the preset cropping width, and perform a first coherence on the inner vertical expansion result and a second coherence on the outer vertical expansion result.

[0075] Based on the first and second coherent results, a coherent region is obtained, and a second anomaly analysis is performed on the coherent region.

[0076] In this embodiment, each center point is vertically extended (the vertical line is the tangent line to the corresponding center point). The first continuity is to connect the extension lines on the left, and the second continuity is to connect the extension lines on the right, thus obtaining the continuous region.

[0077] In this embodiment, the second anomaly analysis is to extend the region edge to ensure the integrity of the anomaly analysis, that is, there may be cases where the fiber strength is different even at the same set temperature.

[0078] The beneficial effects of the above technical solution are: by constructing a model through the geometric characteristics of the material, and by combining finite element analysis and macroscopic analysis, the anomalies of the material can be determined. Furthermore, by collecting experimental data on temperature rise and temperature fall, a sufficient number of samples can be obtained to ensure the reliability of the model construction and to ensure effective targeting of a specific material in the future.

[0079] This invention provides a method for constructing a model based on temperature change and material fiber strength, acquiring the geometric features of the target material and determining the point information of each solid point in the geometric features, including:

[0080] The target material is subjected to a three-dimensional scan to obtain point cloud data of each location on the target material, and a three-dimensional cloud map is constructed.

[0081] Determine the current occupied area of ​​the eight neighboring blocks in the three-dimensional cloud map and compare it with the standard area. If they are consistent, the eight neighboring blocks are reserved for the first time.

[0082] If there is a discrepancy, the current occupied area will be adjusted according to the standard area by stretching the boundary line and correcting the corresponding eight neighboring blocks.

[0083] The modified cloud map is geometrically decomposed to obtain multiple geometric blocks. Based on the block type of each geometric block, shape parameters are attached to the corresponding geometric block. The shape parameters include: surface shape, boundary shape, and point coordinates.

[0084] Based on the additional results, the point information of each 3D point is determined.

[0085] In this embodiment, the point cloud is a dataset of points in a certain coordinate system. The points contain rich information, including three-dimensional coordinates X, Y, Z, temperature, fiber strength, etc.

[0086] In this embodiment, a three-dimensional cloud map refers to representing the target material in the form of a three-dimensional structure.

[0087] In this embodiment, an eight-neighbor block refers to a point in a 3D cloud map that is surrounded by eight other points, forming an eight-neighbor block. Figure 2 As shown, a1 is the reference point.

[0088] In this embodiment, during the construction of the three-dimensional cloud map, due to factors such as system errors, there may be bending of lines, resulting in uneven lines in the obtained eight-neighbor area blocks. Therefore, it is necessary to compare with the standard area.

[0089] In this embodiment, the comparison of standard areas is a preliminary comparison, which is used to determine the corresponding...

[0090] In this embodiment, the currently occupied area is stretched according to the standard area boundary line, and the corresponding eight neighboring blocks are corrected, specifically including:

[0091] By comparing the current occupied area with the standard area of ​​the eight neighboring blocks, the boundary deviation of the corresponding eight neighboring blocks is determined, and a deviation set P1:{P i1j1 ,i1=1,2,3..,n1;j1=1,2,3,...,n2}, where P i1j1 This represents the positional deviation of the j1st position point on the i1th boundary of the corresponding eight-neighbor block; n1 represents the number of boundaries of the corresponding eight-neighbor block; n2 represents the number of position points on the i1th boundary.

[0092] Based on the deviation set, determine the number of positive deviations, the number of negative deviations, and the zero-point deviations at the same boundary in the corresponding eight neighboring blocks;

[0093] When the zero-point deviation is not at the critical point of the corresponding boundary, determine the first effective value corresponding to the same boundary;

[0094]

[0095] Among them, Y i1 This represents the first valid value of the i1th boundary in the corresponding eight-neighbor block; m1 represents the number of regions that need to be calculated based on the i1th boundary in the corresponding eight-neighbor block, and m1 = m2 + 1, where m2 represents the number of zero-point deviations of the corresponding boundary. Z1(n) represents the area of ​​the i2th region to be calculated based on the i1th boundary in the corresponding eight-neighbor block. i1,i2 ) represents the number of deviations n involved in the i2th region that needs to be calculated based on the i1th boundary. i1,i2 Length conversion factor;

[0096] Based on the first valid value of each boundary of the corresponding eight neighboring blocks, the corresponding boundary is stretched and adjusted.

[0097]

[0098] in, This represents the result of stretching the i1th boundary; L min L represents the minimum bottom coordinate line height of the i1th boundary; max This represents the height of the highest top coordinate line of the i1th boundary;

[0099] Based on the pulling result, the corrected eight-neighbor block is obtained.

[0100] In this embodiment, such as Figure 3 The diagram shows the adjustment process for the corresponding eight-neighbor block. Here, b1 is the corresponding eight-neighbor block, b2 is the standard block, and b3 is the zero-point deviation (the boundary deviation between the standard block and the eight-neighbor block is 0). A positive deviation means that the boundary point of the corresponding eight-neighbor block is higher than the boundary point of the standard block at the same position; in this case, the subtraction result is greater than 0. A negative deviation means that the boundary point of the corresponding eight-neighbor block is lower than the boundary point of the standard block at the same position; in this case, the subtraction result is less than 0. Here, c1 is the region under positive deviation, c2 is the region under negative deviation, d1 is the highest top coordinate line, d2 is the coordinate line with a value of 0, and d3 is the lowest bottom coordinate line.

[0101] In this embodiment, a corrected cloud map is constructed based on all corrected eight-neighbor blocks. After constructing the corrected cloud map, if adjacent eight-neighbor blocks overlap, the overlapping boundary line of one corrected eight-neighbor block will be randomly retained, and the overlapping boundary line of the other eight-neighbor block will be deleted. If there is no overlap, the midline of the free areas of the two blocks will be taken to obtain the corrected cloud map.

[0102] In this embodiment, geometric decomposition refers to splitting the modified cloud map according to the boundary lines to obtain multiple geometric blocks, such as circles and rectangles.

[0103] In this embodiment, block type refers to shape type. For example, a circle needs to have its perimeter and radius added, a square needs to have its boundary length added, and a triangle needs to have its angle added.

[0104] In this embodiment, in addition to temperature and fiber strength, the point information also includes additional shape parameters of the corresponding location point.

[0105] In this embodiment, the standard block is predetermined and serves only as a reference standard.

[0106] In this embodiment, the length conversion factor refers to the corresponding boundary length, which is determined by the number of points present. For example, 10 points represent 1 mm.

[0107] In this embodiment, the adjacent location point refers to the intersection of adjacent boundaries.

[0108] The beneficial effects of the above technical solution are: by scanning to determine the three-dimensional cloud map, and then by comparing the area and adjusting the block boundaries, the eight neighboring blocks can be effectively adjusted, ensuring the reasonable use of the corrected point cloud and providing a reliable foundation for subsequent model construction.

[0109] This invention provides a method for constructing a material structure model based on temperature change and material fiber strength, comprising:

[0110] Based on the coordinates of each solid point, the model is deployed in a preset three-dimensional coordinate system to obtain the initial model;

[0111] The initial model is rendered based on the point information of each 3D point to obtain the material structure model.

[0112] In this embodiment, the preset three-dimensional coordinate system is a pre-defined blank coordinate system. Only the corresponding information needs to be filled in to obtain the required model.

[0113] The beneficial effects of the above technical solution are: by inputting point coordinates and point information into the coordinate system and rendering the model, a material structure model is obtained, providing a basis for subsequent analysis.

[0114] This invention provides a method for constructing a material fiber strength model based on temperature change and material structure model. Finite element analysis is performed on the material structure model to obtain thermal conductivity and strength arrays based on different three-dimensional points, including:

[0115] Based on the material properties of the target material, retrieve the finite element model of the target material from the property-model database;

[0116] The material structure model is analyzed and calculated according to the finite element model.

[0117] The daily manufacturing information is analyzed, and at the same time, the abnormal material performance output by the manufacturing is selected based on the analysis and calculation results;

[0118] When the analysis result is completely inconsistent with the selection result, the material structure model is cut first based on the performance coordinate line of the abnormal performance;

[0119] When the analysis result is completely consistent with the selection result, the manufacturing parameters that are consistent with the analysis result are obtained, and the manufacturing parameters are mapped to the model to perform a second cutting on the material structure model.

[0120] When the analysis result is not completely consistent with the selection result, the performance coordinate line of the abnormal performance and the model mapping result of the manufacturing parameters are combined and intersected. The intersection result is labeled first and the combination result is labeled second.

[0121] Based on the first and second annotation results, the coordinate lines are extended in both direction and length, and the material structure model is cut a third time based on the extension results.

[0122] Obtain the first initial array and the second initial data for each solid point, and optimize the corresponding first initial array and the second initial array according to the cutting method of each solid point to obtain the thermal conductivity array and the intensity array of the corresponding solid point.

[0123] In this embodiment, material properties, such as natural fibers, synthetic fibers, etc.

[0124] In this embodiment, the attribute-model database contains finite element models corresponding to different attributes. It is mainly used to determine finite element elements, thereby enabling finite element analysis of materials. For example, the finite element of some materials is divided according to 1 mm, while the finite element of some materials is divided according to 100 μm.

[0125] In this embodiment, routine manufacturing information refers to the physical material obtained after the generation process. Because manufacturing errors may occur, it is necessary to compare the analysis results with the selection results. For example, there may be certain manufacturing abnormalities in the 5th second of manufacturing due to machine instability. Therefore, it is necessary to compare and analyze the material around the 5th second and perform analysis and calculation according to the finite element model to determine the abnormal performance of the model, such as abnormal performance caused by abnormal strength or abnormal temperature.

[0126] In this embodiment, the purpose of parsing daily manufacturing information is to determine whether the performance abnormality is caused by abnormal manufacturing parameters, and to effectively eliminate irrelevant factors.

[0127] In this embodiment, the parsing results are for daily manufacturing information, while the box selection results are based on the intuitive representation of the model. By comparing and analyzing the two methods, the cutting method of the model can be effectively determined.

[0128] In this embodiment, if the material manufacturing results corresponding to the analysis results indicate that there are anomalies at positions 1 and 2, and the box selection results also indicate that there are anomalies at positions 1 and 2, then it is considered to be completely consistent. If the analysis results indicate that there are no anomalies at positions 1 and 2, but the box selection results indicate that there are anomalies at positions 1 and 2, then it is completely inconsistent. If the analysis results indicate that there are anomalies at positions 1 and 2, but the box selection results indicate that there are anomalies at positions 1 and 2, then it is not completely consistent.

[0129] In this embodiment, the manufacturing parameters are used to map the model in order to facilitate the cutting of the material structure model and to determine the surface anomalies of the constructed model based on the manufacturing parameters.

[0130] In this embodiment, the intersection processing is to obtain the intersection of the abnormal behavior coordinate line and the model mapping result, and the union processing is to obtain the union of the abnormal behavior coordinate line and the model mapping result. The abnormal behavior coordinate line is the result of drawing the abnormal behavior as a line, and the model mapping result is the result of highlighting the existing abnormality. Therefore, the two are marked after intersection processing and union processing.

[0131] In this embodiment, both directional expansion and length expansion are based primarily on the intersection results, with the union processing results as an auxiliary method, and the expansion is used to cut the model.

[0132] In this embodiment, such as Figure 4 As shown, 01 represents the coordinate line, and 02 represents the model mapping result. After intersection and union processing, the midpoint of the angle between 01 and 02 is used as the expansion direction. As an extension length, it is generally extended evenly to both sides, such as 03 and 04.

[0133] In this embodiment, the purpose of the first and second annotations is to distinguish the processing results. The cutting method is determined according to the result-cutting mapping table, which includes different comparison results, the result position under the comparison result, and the matching cutting method.

[0134] In this embodiment, the initial array refers to the temperature data and fiber strength data of the corresponding three-dimensional point that are acquired first.

[0135] In this embodiment, the sub-models obtained by cutting according to different cutting methods are different, that is, the corresponding correction coefficients will be different. For example, the correction coefficient after cutting using cutting method 1 is 0.98, and the corresponding array is obtained after optimizing the initial array. If the correction coefficient after cutting using cutting method 3 is 1.01, the corresponding array is obtained after optimizing the initial array.

[0136] The beneficial effects of the above technical solution are as follows: based on the material properties, a finite element model is determined to analyze and calculate the material structure model, and the results of the analysis of manufacturing information are combined to compare the two. Then, through intersection and union processing, an effective method is selected to achieve model cutting, ensuring the accuracy of obtaining arrays of different solid points, and ensuring the accuracy and relevance of subsequent model construction.

[0137] This invention provides a method for constructing a model based on temperature change and material fiber strength. It involves macroscopic analysis of the target material's structural layout to determine the surface to be analyzed and the coarsely selected region within that surface, including:

[0138] Locate the visual anomaly on the target material and determine the location of the visual anomaly.

[0139] Associate the display location with the structural layout;

[0140] Based on the location association results, the surface to be analyzed to which the intuitive anomaly belongs is determined, and the intuitive anomaly is coarsely selected on the surface to be analyzed.

[0141] In this embodiment, visual anomalies refer to anomalies that can be directly observed by the human eye.

[0142] In this embodiment, the surface to be analyzed refers to the surface where the anomaly is located.

[0143] The beneficial effects of the above technical solution are: by identifying intuitive anomalies and their locations and relationships, it is easier to make effective bounding boxes, which provides a foundation for accurate model construction in the future.

[0144] This invention provides a method for constructing a model based on temperature change and material fiber strength. Based on the array results obtained from the coarsely selected region within the same surface to be analyzed, the first anomaly of the corresponding coarsely selected region is determined, including:

[0145] Obtain a standard array of each 3D point in the coarse selection area, and construct a standard temperature curve and a standard intensity curve based on the standard data and the distribution of 3D points corresponding to the material texture of the target material.

[0146] Based on the array results and the corresponding three-dimensional point distribution, the first temperature curve and the first intensity curve are constructed.

[0147] The first temperature curve is compared with the standard temperature curve, and the first intensity curve is compared with the standard intensity curve to determine the first anomaly.

[0148] In this embodiment, the standard array is pre-set. For example, if there are positions 1, 2, 3, 8, and 9 in the selected area, and the curve obtained after sorting them in order is: the horizontal axis corresponding to positions 1, 2, 3, 8, and 9, and the vertical axis is temperature and intensity respectively.

[0149] In this embodiment, the standard and array-based coordinates are the same.

[0150] In this embodiment, the first anomaly refers to a numerical anomaly that exists after curve comparison.

[0151] The beneficial effect of the above technical solution is that by comparing the standard with the actual one, the anomalies that exist can be effectively identified.

[0152] This invention provides a method for constructing a model based on temperature change and material fiber strength. Based on a first anomaly result and a second anomaly result, a first fluctuation curve corresponding to the surface to be analyzed is obtained, resulting in a first set of curves for the target material, including:

[0153] Based on the first and second anomaly results, a separate curve is constructed for the material texture of the surface to be analyzed, and this curve is used as the first fluctuation curve.

[0154] All the first fluctuation curves are regarded as the first set of curves of the target material.

[0155] In this embodiment, the first and second abnormal results are intended to obtain as much complete abnormal information as possible, and the material texture is determined based on the target material properties.

[0156] In this embodiment, individual curves are constructed because the intensity of a certain line is abnormal, so all the curves constructed from the abnormalities are combined to obtain the corresponding set.

[0157] The beneficial effect of the above technical solution is that by constructing curves from abnormal results, a set of curves can be obtained, providing a basis for building a model.

[0158] This invention provides a method for constructing a temperature change and material fiber strength model. Based on a first set of curves, a second set of curves, a third set of curves, and a material structure model, a temperature change and material fiber strength model is constructed, including:

[0159] The material structure model is rendered using the first set of curves, the second set of curves, and the third set of curves.

[0160] Simultaneously, based on the normal fiber strength at different temperatures, the material structure model is rendered a second time;

[0161] Based on the first and second rendering results, a model of temperature change and material fiber strength is constructed.

[0162] In this embodiment, the first set of curves, the second set of curves, and the third set of curves are based on the relationship between temperature and intensity obtained at different temperatures. By expanding the temperature range, the temperature-intensity analysis and judgment of the material are carried out to build a model, effectively and intuitively obtaining the relationship between temperature and intensity changes.

[0163] In this embodiment, the first rendering and the second rendering are mainly to reflect all the abnormal and normal relationships between temperature and intensity on the model, so as to facilitate a targeted understanding of the material.

[0164] The beneficial effects of the above technical solution are: by rendering the model using different sets and combining the rendering of normal fiber strength at different temperatures, the model can be effectively constructed, facilitating an intuitive understanding of temperature and strength.

[0165] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for constructing a model based on temperature change and material fiber strength, characterized in that, include: Step 1: Obtain the geometric features of the target material and determine the point information of each solid point in the geometric features, and establish a material structure model of the target material, wherein the point information includes: the point temperature and fiber strength of the corresponding solid point; Step 2: Perform finite element analysis on the material structure model to obtain thermal conductivity and strength arrays based on different solid points; Step 3: Perform macroscopic analysis based on the structural layout of the target material to determine the surface to be analyzed and the coarsely selected area within the surface to be analyzed; Step 4: Based on the array acquisition results in the coarse-selected area of ​​the same surface to be analyzed, determine the first anomaly of the corresponding coarse-selected area and obtain the first anomaly result. At the same time, perform a second anomaly analysis on the edge of the region of the coarse-selected area in the same surface to be analyzed according to the preset truncation width and obtain the second anomaly result. Step 5: Based on the first and second anomaly results, obtain the first fluctuation curve of the corresponding surface to be analyzed, and obtain the first curve set of the target material. At the same time, increase the target material at a first preset temperature based on the current temperature to obtain the second curve set, and decrease the target material at a second preset temperature based on the current temperature to obtain the third curve set. Step 6: Based on the first set of curves, the second set of curves, the third set of curves, and the material structure model, construct the temperature change and material fiber strength model.

2. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Acquiring the geometric features of the target material and determining the point information of each solid point in the geometric features includes: The target material is subjected to a three-dimensional scan to obtain point cloud data of each location on the target material, and a three-dimensional cloud map is constructed. Determine the current occupied area of ​​the eight neighboring blocks in the three-dimensional cloud map and compare it with the standard area. If they are consistent, the eight neighboring blocks are reserved for the first time. If there is a discrepancy, the current occupied area will be adjusted according to the standard area by stretching the boundary line and correcting the corresponding eight neighboring blocks. The modified cloud map is geometrically decomposed to obtain multiple geometric blocks. Based on the block type of each geometric block, shape parameters are attached to the corresponding geometric block. The shape parameters include: surface shape, boundary shape, and point coordinates. Based on the additional results, the point information of each 3D point is determined.

3. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Establishing a material structure model for the target material includes: Based on the coordinates of each solid point, the model is deployed in a preset three-dimensional coordinate system to obtain the initial model; The initial model is rendered based on the point information of each 3D point to obtain the material structure model.

4. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Finite element analysis was performed on the material structure model to obtain thermal conductivity and strength arrays based on different three-dimensional points, including: Based on the material properties of the target material, retrieve the finite element model of the target material from the property-model database; The material structure model is analyzed and calculated according to the finite element model. Analyze daily manufacturing information, and at the same time, select abnormal material performance in the manufacturing output based on the analysis and calculation results; When the analysis results are completely inconsistent with the selection results, the material structure model is cut first based on the performance coordinate line of the abnormal performance. When the analysis result is completely consistent with the selection result, the manufacturing parameters that are consistent with the analysis result are obtained, and the manufacturing parameters are mapped to the model to perform a second cutting on the material structure model. When the analysis result is not completely consistent with the selection result, the performance coordinate line of the abnormal performance and the model mapping result of the manufacturing parameters are combined and intersected. The intersection result is labeled first and the combination result is labeled second. Based on the first and second annotation results, the coordinate lines are extended in both direction and length, and the material structure model is cut a third time based on the extension results. Obtain the first initial array and the second initial data for each solid point, and optimize the corresponding first initial array and the second initial array according to the cutting method of each solid point to obtain the thermal conductivity array and the intensity array of the corresponding solid point.

5. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Based on the structural layout of the target material, a macroscopic analysis is performed to determine the surface to be analyzed and the coarsely selected area within the surface to be analyzed, including: Locate the visual anomaly on the target material and determine the location of the visual anomaly. Associate the display location with the structural layout; Based on the location association results, the surface to be analyzed to which the intuitive anomaly belongs is determined, and the intuitive anomaly is coarsely selected on the surface to be analyzed.

6. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Based on the array results obtained from the coarse-selected region within the same surface to be analyzed, the first anomaly of the corresponding coarse-selected region is determined, including: Obtain a standard array of each 3D point in the coarse selection area, and construct a standard temperature curve and a standard intensity curve based on the standard array and the distribution of 3D points corresponding to the material texture of the target material. Based on the array results and the corresponding three-dimensional point distribution, the first temperature curve and the first intensity curve are constructed. The first temperature curve is compared with the standard temperature curve, and the first intensity curve is compared with the standard intensity curve to determine the first anomaly.

7. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Based on the first and second anomaly results, the first fluctuation curve corresponding to the surface to be analyzed is obtained, and the first set of curves for the target material is obtained, including: Based on the first and second anomaly results, a separate curve is constructed for the material texture of the surface to be analyzed, and this curve is used as the first fluctuation curve. All the first fluctuation curves are regarded as the first set of curves of the target material.

8. The method for constructing a model based on temperature change and material fiber strength according to claim 1, characterized in that, Based on the first set of curves, the second set of curves, the third set of curves, and the material structure model, a model for temperature change and material fiber strength is constructed, including: The material structure model is rendered using the first set of curves, the second set of curves, and the third set of curves. Simultaneously, based on the normal fiber strength at different temperatures, the material structure model is rendered a second time; Based on the first and second rendering results, a model of temperature change and material fiber strength is constructed.

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