Three-dimensional visual design method and system for ceramic product with features fused

Abstract

The application belongs to the technical field of ceramic product visual design, and particularly discloses a feature fusion ceramic product three-dimensional visual design method and system, wherein the line feature and surface feature parameters of successful cases in historical manufacturing records are used as multi-dimensional detail constraint conditions of current design, and meanwhile, the constraint conditions are dynamically simulated and verified; the constraint conditions that are successfully verified are screened out for design, so that the design scheme is ensured to be based on verified actual process data, potential design defects can be identified and excluded in advance, and then the current product design can be designed based on actual comprehensive process data, the disconnection between design and manufacturing is greatly reduced, the reliability and success rate of the design scheme are improved, and the repeated trial production and correction problems caused by neglecting manufacturing processes are effectively avoided.

Description

Technical Field

[0001] This invention belongs to the field of ceramic product visualization design technology, and specifically discloses a method and system for three-dimensional visualization design of ceramic products that integrates features. Background Technology

[0002] Ceramic products are widely used in daily life and art due to their aesthetic appeal, functionality, and cultural value. As consumers increasingly demand personalization and customization, ceramic design needs to achieve innovative integration of complex shapes and decorations while ensuring technological feasibility.

[0003] Current ceramic design widely employs computer-based 3D visualization design technology, aiming to improve design efficiency, accuracy, and user experience through digital means. For example, Chinese invention patent CN114781146A proposes a computer-based 3D ceramic product design system. This system inputs basic ceramic information into a central server and uses computer simulation to design the ceramic's type, patterns, and appearance, thereby generating a design scheme that better meets user expectations. This method has advantages such as high automation, high design accuracy, ease of operation, and wide applicability, significantly improving the overall efficiency of ceramic design.

[0004] However, the above-mentioned approach relies primarily on basic ceramic information for simulation design, failing to fully integrate manufacturing process constraints. This results in a lack of necessary limitations and standards in the design, leading to an overly open design. Such a design method often requires multiple adjustments and corrections during actual trial production, inevitably increasing material waste and time costs.

[0005] For example, Chinese invention patent CN114004054B proposes a 3D-aided design and visualization system and method for ceramic products. This method decomposes the product's connected graph into multiple sub-graphs and applies geometric constraints to each sub-graph to establish corresponding geometric feature models. Then, it acquires the product's shape and decorative features, and constructs a fusion model based on the geometric feature model to integrate these features. Finally, it combines the geometric feature model and the fusion model to create a data model and display the product in a 3D visualization.

[0006] Although this approach uses geometric constraints for 3D model design, its process constraints focus only on the decomposition of the product's connectivity graph and are primarily limited to macroscopic geometric constraints. On the one hand, this method does not consider line and surface features, failing to capture surface details and resulting in poor adaptability to detailed design. On the other hand, it does not fully utilize the designs of similar historical ceramic products as constraints, causing the design process to lose valuable historical experience and successful case studies, potentially leading to repeated errors or missed optimization opportunities.

[0007] In conclusion, although existing 3D visualization design technology has greatly improved the efficiency and flexibility of ceramic design, the lack of consideration for process constraints or incomplete consideration during the design phase can easily lead to repeated trials and revisions, which not only affects the product development cycle but also easily causes product quality problems. Summary of the Invention

[0008] Therefore, one objective of this application is to provide a method and system for three-dimensional visualization design of ceramic products based on feature fusion, thereby effectively solving the problems existing in the prior art by introducing a multi-constraint fusion method driven by historical data in the ceramic design process.

[0009] The purpose of this invention can be achieved through the following technical solutions: Firstly, this invention proposes a three-dimensional visualization design method for ceramic products based on feature fusion, which includes the following steps: (1) Selecting qualified finished products that match the current design requirements from the ceramic historical manufacturing records according to the preset error matching principle of vessel size and decoration alignment, and extracting line feature parameters and surface feature parameters from the manufacturing data of qualified finished products as design constraints for the current product.

[0010] (2) Construct the three-dimensional virtual shape contour baseline of the current product based on the line feature constraint conditions, construct the surface model of the current product based on the surface feature constraint conditions, apply dynamic load simulation to the three-dimensional virtual shape contour baseline, apply thermal expansion simulation to the surface model, and then verify the constraint effect by comprehensively simulating the simulation results and select the design constraint conditions that have been successfully verified.

[0011] (3) Based on the successfully verified design constraints, the effective device profile baseline and surface model of the current product are generated through parametric modeling;

[0012] (4) Based on the generated effective vessel shape contour baseline and surface model, the curvature of the vessel body is gradually fused using a geometric continuity constraint algorithm, or an unconstrained fusion is performed using a free deformation algorithm;

[0013] (5) Adaptive meshing is performed on the fused vessel model to generate visual metadata.

[0014] Secondly, the present invention proposes a feature fusion-based three-dimensional visualization design system for ceramic products, including the following modules: a design constraint determination module, used to select line features and surface features of finished products that meet design requirements from historical ceramic manufacturing records as design constraints for the current product.

[0015] Constraint verification module: includes virtual modeling unit and constraint filtering unit, which are used to construct 3D verification model and filter valid constraint conditions, respectively;

[0016] Model building module: used to generate baseline and surface models based on effective constraints;

[0017] Fusion Design Module: Integrates geometric constraint fusion units and free fusion units, supporting dual-mode fusion design of the main body of the device;

[0018] Visualization module: Used for meshing and rendering mesh metadata of the fused vessel model.

[0019] Combining all the above technical solutions, the positive effects of this invention are as follows:

[0020] 1. This invention utilizes the line and surface feature parameters of successful cases in historical manufacturing records as multi-dimensional detail constraints for the current design, enabling the current product design to be based on actual and comprehensive process data. This greatly reduces the disconnect between design and manufacturing, not only improving the reliability and success rate of the design scheme, but also effectively avoiding the problem of repeated trial production and correction caused by neglecting the manufacturing process.

[0021] 2. This invention utilizes the line and surface feature parameters from successful cases in historical manufacturing records as multi-dimensional detail constraints for the current design. Furthermore, it dynamically simulates and verifies these constraints, selecting only those that have been successfully verified for design purposes. This ensures that the design scheme is not only based on validated actual process data but also identifies and eliminates potential design flaws in advance. This makes products designed based on the selected constraints more reliable and robust, able to withstand the test of actual production and usage environments. Attached Figure Description

[0022] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating the implementation of the method in Embodiment 1 of the present invention.

[0024] Figure 2 This is a schematic diagram illustrating the implementation of the constraint effect verification of design constraints under comprehensive simulation in this invention.

[0025] Figure 3 This is a schematic diagram of the system module configuration in Embodiment 2 of the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] Example 1

[0028] See Figure 1 As shown, the present invention proposes a three-dimensional visualization design method for ceramic products based on feature fusion, including the following steps: (1) Selecting qualified finished products that match the current design requirements from the ceramic historical manufacturing records according to the preset error matching principle of vessel size and decoration alignment, and extracting line feature parameters and surface feature parameters from the manufacturing data of qualified finished products as design constraints for the current product.

[0029] As a preferred implementation of the above scheme, the following process is used to screen qualified finished products that match the current design requirements: extract the manufacturing raw materials and manufacturing process environment from the historical ceramic manufacturing records, and screen out consistent historical manufacturing records according to the manufacturing raw materials and manufacturing process environment specified in the current product design and mark them as similar manufacturing records.

[0030] In one example, the manufacturing raw materials mentioned above refer to the various materials and their properties used in the production of ceramic products. Specifically, this includes, but is not limited to, the following: basic materials: such as kaolin, quartz sand, feldspar, and other major components.

[0031] Additives, such as plasticizers, reinforcing agents, and colorants, are used to improve the processability of materials or impart specific properties.

[0032] Glaze: The composition of the surface coating, which affects the product's appearance (such as gloss and color) and functionality (such as abrasion resistance and corrosion resistance).

[0033] In another example, the manufacturing process environment mentioned above encompasses various conditions and parameters throughout the entire process from raw material preparation to finished product completion. This mainly includes the following aspects: molding process: such as the selection of methods like slip casting, dry pressing, and extrusion molding, and their process parameters (such as pressure, temperature, and time).

[0034] Drying process: The process of controlling the evaporation of moisture from the green body, which involves the type of drying equipment (such as hot air drying, microwave drying), drying rate, humidity control, etc.

[0035] Firing process: This includes key parameters such as firing temperature, heating rate, holding time, and cooling rate. Different firing processes will affect the density, strength, and microstructure of the final product.

[0036] Post-processing: such as polishing, grinding, decoration (printing, decals) and other steps and their corresponding process conditions.

[0037] By extracting manufacturing raw materials and manufacturing process environments from historical manufacturing records and selecting historical records that are consistent with the current product design's manufacturing raw materials and manufacturing process environments, it is possible to ensure that new designs can be based on similar historical cases, providing solid practical data support for subsequent designs.

[0038] For each manufacturing record of the same type, extract the actual shape and decoration type data of the corresponding finished product and compare them with the shape and decoration type required by the current product design to calculate the deviation value between the two.

[0039] The dimensions of the vessel mentioned above include, but are not limited to, height, width, and diameter, while the data on decorative patterns include, but are not limited to, pattern type, position, and proportion.

[0040] In the specific calculation of the above deviations, the dimensions of the vessel can be determined by calculating the difference between the historical actual values ​​of height, width, and diameter and the design target values.

[0041] The specific calculations for decorative pattern deviations are as follows: For the position of the decorative pattern, the positional deviation can be determined by calculating the Euclidean distance between the historical actual position coordinates and the design position coordinates. For the proportion of the decorative pattern, the proportional deviation can be determined by comparing the difference between the historical actual proportion and the design proportion. For example, .

[0042] The above provides a quantitative standard for assessing the similarity between historical products and new designs, thus providing a basis for subsequent selection.

[0043] Guided by the preset error matching principle for vessel size and decoration alignment, evaluate whether the deviations in vessel size and decoration type in each similar manufacturing record are within acceptable ranges. Then, select similar manufacturing records in which both the deviations in vessel size and decoration type meet the preset error matching standard and define them as matching manufacturing records.

[0044] For example, the error matching principle for the alignment of vessel size and decoration is that the error of each vessel size parameter is controlled within ±2mm, the error of decoration position is controlled within ±1mm, and the error of decoration ratio is controlled within ±5%.

[0045] The preset error matching principle proposed in this invention ensures that the selected historical records meet the accuracy requirements for key parameters. This method not only improves the objectivity and accuracy of the screening process but also guarantees the high feasibility of the final selected design reference.

[0046] For all finished products identified as matching manufacturing records, their associated finished product inspection records are reviewed, and the results of quality inspection items (such as strength, heat resistance, surface finish, etc.) for each finished product are extracted. Then, finished products that meet all quality inspection standards are identified as qualified finished products.

[0047] By reviewing the quality inspection results of the finished products, it can be ensured that the selected historical records represent successful cases. This method is directly linked to actual production results, reduces design risks, and increases the success rate of new products.

[0048] This invention utilizes historical data for screening qualified finished products, avoiding all steps of designing from scratch and significantly shortening the design cycle. Simultaneously, reliable data support reduces the number of trial and error attempts. Furthermore, it fully leverages the company's accumulated data resources, enabling effective knowledge reuse and lowering R&D costs.

[0049] The line feature parameters mentioned above mainly refer to the geometric features involving lines or edges in ceramic products. Specifically, they include, but are not limited to, the following: Contour lines: the outer contour shape of the product, such as the boundary of a circle, square, or other complex shapes.

[0050] Seam line: The connecting line between different parts or materials to ensure precise alignment when splicing different parts.

[0051] Decorative lines: Lines used to decorate the surface of products, such as lines formed by processes like engraving and embossing.

[0052] Axis of symmetry: The axis of symmetry in product design, ensuring the symmetry and balance of the design (such as the position and length of the contour baseline) and surface feature parameters (such as the curvature and smoothness of the surface).

[0053] Surface feature parameters mainly refer to various properties of the ceramic product surface, including but not limited to the following: Surface curvature: Changes in the surface curvature of the product affect its aesthetics and functionality (such as anti-slip properties).

[0054] Surface texture: The type and distribution of texture on the product surface, such as smooth, matte, embossed, etc.

[0055] Surface flatness: The flatness of the product surface, ensuring there are no obvious bumps or unevenness.

[0056] Glaze thickness: The thickness and uniformity of the surface glaze layer affect the gloss and durability of the product.

[0057] Line and surface feature parameters have a direct impact on the appearance and functionality of a product. If they are not used as design constraints during the design phase, the design may become too divergent and lack an effective constraint mechanism, making it difficult to ensure the consistency, accuracy and manufacturability of the design.

[0058] See Figure 2 As shown, (2) the three-dimensional virtual shape contour baseline of the current product is constructed based on the line feature constraint condition, the surface model of the current product is constructed based on the surface feature constraint condition, and dynamic load simulation is applied to the three-dimensional virtual shape contour baseline, and thermal expansion simulation is applied to the surface model. The constraint effect is verified by comprehensively simulating the simulation results, and the design constraint conditions that have been successfully verified are selected.

[0059] It should be added that the above-mentioned construction of the three-dimensional virtual object outline baseline can be achieved by using professional computer-aided design software to draw the preliminary three-dimensional outline baseline of the product based on the above-mentioned line feature constraints.

[0060] In the above-mentioned scheme, the dynamic load simulation of applying a load to the baseline of the three-dimensional virtual object contour is as follows: the physical properties of the material (such as elastic modulus, Poisson's ratio, etc.) are determined based on the manufacturing raw materials specified in the current product design.

[0061] The support points of the vessel shape outline baseline are defined according to the actual application scenario of the ceramic product.

[0062] It is important to understand that defining the support points for the baseline of the ceramic product shape is a crucial step in ensuring the structural stability and functionality of the product. The process of defining support points based on the actual application scenario typically includes the following aspects: a. Functional requirements analysis: a1 Usage environment: First, analyze the environmental conditions of the ceramic product in actual use, such as whether it needs to withstand external loads (such as pressure, tension), whether it needs to have specific stability (such as avoiding tipping), etc.

[0063] a2 Operation Method: Consider how users interact with the product, such as the design of the handheld part and the choice of placement.

[0064] b. Mechanical Analysis: b1 Stress Analysis: Mechanical analysis determines the main stress distribution that the product may experience during use. For example, for a vase, the bottom and center of gravity are usually the main stress points.

[0065] b2 Support Point Selection: Based on the stress analysis results, support points are set in key stress areas to ensure the structural stability and durability of the product. These support points can be physical contact points or structural reinforcement points.

[0066] c. Geometric feature analysis: c1 Shape analysis: Analyze the geometry of the product, identify key parts that are prone to deformation or damage, and set support points in these parts to enhance their strength.

[0067] c2 Symmetry and balance: Ensure that the product has good symmetry and balance. Especially in asymmetrical designs, proper setting of support points helps to maintain overall stability.

[0068] The boundary conditions for the simulation are set using the determined physical properties of the materials and the defined support points.

[0069] The physical properties of the aforementioned materials (such as elastic modulus, Poisson's ratio, and density) determine their response behavior under different stress conditions. By accurately inputting these properties, the actual performance of the materials can be more realistically reflected in the simulation model, thereby improving the accuracy of the simulation.

[0070] As key connection points in the structure, the support points determine the overall stability and load-bearing capacity of the product. Properly configuring support points can effectively distribute stress and prevent damage caused by localized overloads. In finite element analysis, support points are used to define boundary conditions, i.e., the location and type of fixed or constraint points. This directly affects the reliability of the simulation results, as different support point configurations lead to different stress distributions and deformation modes.

[0071] Therefore, by inputting accurate material physical properties and reasonable support point configuration, the simulation model can more closely approximate actual working conditions and predict product performance more accurately.

[0072] Select the load type (such as mechanical stress) based on the product's expected usage, and set different load levels and simulation sequences for each load type.

[0073] For example, the load range can be determined by analyzing the product's expected usage environment and functional requirements. The load levels can be set to low, medium, and high, where the low load level corresponds to the lower third of the load range; the medium load level corresponds to the middle third of the load range; and the high load level corresponds to the upper third of the load range. The simulation sequence should start with the low load level, proceed sequentially to the medium load level, and finally simulate the high load level to ensure that the product's performance under different stress conditions is verified step by step.

[0074] Under the set boundary conditions, finite element analysis software is used to apply dynamic loads to the support points of the three-dimensional virtual object contour baseline according to the preset load type and corresponding load level simulation sequence.

[0075] During the simulation, the response data of the support points of the three-dimensional virtual object profile baseline under different load levels corresponding to the load type are output, including deformation, stress, and vibration data.

[0076] The response data from the aforementioned support points provide in-depth insights into the structural stability and durability of the product.

[0077] It should be added that the above-mentioned surface model can be constructed by using professional computer-aided design to build a three-dimensional surface model of the product based on the above surface feature constraints.

[0078] In another possible implementation of the above scheme, the thermal expansion simulation of the curved surface model is performed as follows: the temperature range and temperature gradient during the simulation are set according to the actual application environment of the ceramic product, thereby generating a series of temperature nodes.

[0079] The above settings are designed to simulate all the thermal environments that a product may experience during its life cycle.

[0080] In the example of the above implementation, it is assumed that the simulated temperature range is from 25°C to 1200°C.

[0081] To accurately capture the thermal expansion behavior of ceramic products at different temperature stages, it is necessary to set a reasonable temperature gradient. For example, choosing 100℃ as the temperature gradient means setting a temperature node for every 100℃ increase.

[0082] Based on the above temperature range and temperature gradient, a series of temperature nodes are generated: 25℃, 125℃, 225℃, 325℃, 425℃, 525℃, 625℃, 725℃, 825℃, 925℃, 1025℃, 1125℃, and 1200℃.

[0083] The physical properties of the ceramic product are input into the simulation software, and then the thermal expansion simulation program is run at each temperature node.

[0084] The accurate material properties mentioned above are crucial for ensuring the realism and reliability of the simulation results.

[0085] During the simulation, the deformation and stress distribution diagrams of the surface model at different temperature nodes are visualized and output.

[0086] These figures provide intuitive visual feedback, demonstrating the impact of temperature changes on the model's shape and structural integrity.

[0087] In a further feasible approach to the above scheme, the constraint effect is verified by comprehensively simulating the results. The successful design constraint conditions are selected and verified as follows: The response data of the support points under different load levels in the online characteristic simulation of each qualified product selected from historical manufacturing are quantified to obtain the response fluctuation of adjacent support points under different load levels.

[0088] In a specific example of the above operation, the response fluctuation quantification of adjacent support points can be achieved by calculating the standard deviation of the response data of each pair of adjacent support points, then taking the average of these standard deviations, and comparing it with the overall mean of the response data of all support points to obtain the response variation coefficient as the response fluctuation amount.

[0089] In another example, response fluctuation quantization of adjacent support points can be achieved by calculating the response difference of each pair of adjacent support points, selecting the maximum and minimum response differences, and then subtracting the maximum and minimum response differences and dividing by the maximum response difference to obtain the response fluctuation amount.

[0090] It is important to understand that the amount of response fluctuation can reflect the stability of the baseline support of the three-dimensional virtual object shape under load. When the amount of response fluctuation is larger, it indicates that the response change between the support points is more significant, thus implying that the stability of the structure is worse.

[0091] The response data of the support point under different load levels in the online characteristic simulation of each qualified product are compared with the set limit response amount to quantify the response exceeding the limit.

[0092] In a specific example of the above operation, response overlimit quantization can compare the response data of each support point with the limit response amount to obtain the response overlimit difference, and then compare it with the limit response amount to obtain the response overlimit coefficient of each support point. The average value of the response overlimit coefficients of all support points is then taken to obtain the overall response overlimit amount.

[0093] It's important to understand that response exceedance reflects the extent to which the actual response value at each support point exceeds the preset response limit. Specifically, it's a key indicator of whether the design is operating within safety limits. A higher response exceedance indicates that more support points or larger response values ​​exceed the set safety threshold, suggesting a potential design flaw.

[0094] The load response defect degree is defined as the fusion value of the response fluctuation and the response over-limit. Therefore, the load response defect degree of different load levels is calculated using the response fluctuation and response over-limit under different load levels.

[0095] As an example of the above operation, the geometric mean is used to fuse response fluctuations and response overshoots, thereby highlighting the synergistic effect between the two.

[0096] In another example, different weighting coefficients are assigned to the response fluctuation and the response exceedance, and then the results are summed to obtain the load response defect degree.

[0097] In practical applications, different integration methods can be selected based on the specific application scenario and design requirements.

[0098] This invention evaluates the support defects of the three-dimensional virtual object profile baseline under load by integrating response fluctuation and response over-limit, and comprehensively reflects the overall performance of the object profile baseline under specific load conditions.

[0099] Weights are assigned to different load levels, and the load response defect degree of each load level is combined with the weights to obtain the overall load response defect degree of each compliant product under online characteristic simulation.

[0100] Specifically, the weighting of different load levels described above can be based on the load level, with higher load levels receiving higher weights. For example, assuming a weight range of 0 to 1, the weights for low, medium, and high load levels could be 0.2, 0.3, and 0.5, respectively. This weighting is based on the fact that in practical applications, high load levels are usually closer to the product's extreme operating conditions or extreme environments, under which the product is more prone to failure or malfunction. Therefore, high load levels have a greater impact on product performance and safety, and thus their influence is often more significant in multi-level load assessments. Therefore, assigning higher weights to high load levels is consistent with engineering experience and practice.

[0101] In a further step of the above scheme, the deformation distribution map and stress distribution map of each qualified product selected from historical manufacturing at different temperature nodes in the surface feature simulation are marked with deformation distribution area and stress concentration area.

[0102] The aforementioned deformation distribution area refers to the area on the product surface where displacement or deformation occurs. Stress concentration area refers to the region on the product surface where localized stress increases significantly.

[0103] As an example of the above scheme, suppose we have a design for a ceramic vase. We simulate the deformation and stress distribution at different temperature nodes using surface features, and mark key areas. The deformation distribution area is marked as follows: at 25℃, the deformation distribution of the entire vase is relatively uniform, with small deformation. At 600℃, the deformation at the bottom and neck of the vase increases significantly, especially forming a distinct deformation concentration area at the bottom edge.

[0104] Stress concentration area marking: At 25℃, the stress distribution is relatively uniform, with no obvious stress concentration areas. At 800℃, a significant stress concentration was observed at the junction of the bottle neck and body. This area is shown as the darkest on the stress distribution map, indicating the highest stress at this location.

[0105] The thermal expansion defect degree is defined as the combined value of the area ratio of the deformation region and the area ratio of the stress concentration region. For each temperature node, the thermal expansion defect degree at that node is calculated based on the area ratio of the corresponding deformation distribution region and the area ratio of the stress concentration region.

[0106] In one example of the above operation, the thermal expansion defect degree can be a weighted sum of the area ratio of the deformation region and the area ratio of the stress concentration region.

[0107] In another example, the thermal expansion defect degree can be the geometric mean of the area ratio of the deformed region and the area ratio of the stress concentration region.

[0108] Weights are assigned to different temperature nodes, and the thermal expansion defect degree of each qualified product is obtained by combining the weights with the thermal expansion defect degree of different temperature nodes under surface feature simulation.

[0109] The weighting of different temperature nodes described above can be similarly assigned to the weighting of load levels.

[0110] In a further feasible approach to the above scheme, the overall load response defect rate and overall thermal expansion defect rate under online feature simulation and surface feature simulation of each compliant product are compared with the configured defect thresholds. If the overall load response defect rate and overall thermal expansion defect rate under online feature simulation and surface feature simulation of a compliant product both meet the defect thresholds, then the corresponding line feature parameters and surface feature parameters of the compliant product are used as design constraints for successful verification.

[0111] As an example of the above implementation, assuming that the configuration thresholds for the overall load response defect degree and the overall thermal expansion defect degree are 0.3 and 0.2 respectively, the constraint verification of some compliant products is shown in Table 1.

[0112] Table 1: Constraint Verification Data for Some Compliant Products

[0113]

[0114] This invention utilizes line and surface feature parameters from successful cases in historical manufacturing records as multidimensional detail constraints for the current design. Furthermore, it dynamically simulates and verifies these constraints, selecting only those that have been successfully verified for design purposes. This ensures that the design is not only based on validated actual process data but also identifies and eliminates potential design flaws in advance. This makes products designed based on the selected constraints more reliable and robust, able to withstand the test of actual production and usage environments.

[0115] (3) Based on the successfully verified design constraints, the effective device profile baseline and surface model of the current product are generated through parametric modeling.

[0116] The above steps are implemented as follows: Define the parameter variables corresponding to the design constraints. For example, for the baseline of the object shape, it may be necessary to define parameters such as length, angle, and curve radius; for the surface model, it may involve parameters such as curvature, thickness, and surface smoothness.

[0117] In parametric modeling software, basic geometric shapes (such as lines, arcs, etc.) are created based on the preliminary design concept, serving as the basis for the builder's outline baseline.

[0118] The verified line feature constraints are applied to the basic geometry, and the shape and size of the control profile baseline are controlled by adjusting the parameter variables.

[0119] The initial surface model is generated based on the established vessel profile baseline using tools provided by parametric modeling software.

[0120] The surface feature constraints that have been successfully verified are applied to the surface model, and the relevant parameters are adjusted to ensure that the smoothness, curvature continuity and other performance requirements of the surface are met.

[0121] In one improved implementation, after parametric modeling based on successfully validated design constraints, verification can be performed again, such as by rerunning finite element analysis or thermal expansion simulation, to verify whether the newly generated vessel profile baseline and surface model still meet all preset design constraints. If any non-compliance is found, the process returns to the previous steps for appropriate adjustments.

[0122] In further improvements, firing shrinkage compensation parameters can be incorporated into ceramic product design, primarily to address the dimensional changes that occur in ceramic materials during high-temperature firing. Due to the physicochemical reactions that occur during ceramic firing, changes in volume and size result; this phenomenon is known as firing shrinkage. Without proper compensation, the final product's dimensions may deviate significantly from the design dimensions. Therefore, considering firing shrinkage during the design phase and making corresponding adjustments through parametric modeling ensures that the fired ceramic product meets the expected design dimensions.

[0123] This systematic process effectively transforms validated design constraints into concrete 3D models, ensuring that new products not only meet design objectives but also possess excellent physical properties and visual appeal. This approach significantly improves design efficiency, reduces trial-and-error costs, and promotes innovative design.

[0124] Based on the generated effective vessel shape contour baseline and surface model, a geometric continuity constraint algorithm is used to perform curvature gradient fusion of the vessel body, or a free deformation algorithm is used for unconstrained fusion.

[0125] It's important to understand that geometric continuity constraint algorithms are a technique used to ensure smooth transitions between different parts of a surface model. By applying specific geometric continuity conditions (such as positional continuity, tangent continuity, curvature continuity, etc.), it ensures that there are no abrupt changes at the connections between surfaces, thus achieving a visually and physically smooth effect.

[0126] The specific implementation steps are as follows: Define boundary conditions: Determine the different curved surface parts that need to be merged and their boundary conditions (such as start point, end point, tangent direction, etc.).

[0127] Apply continuity constraints: Select an appropriate continuity level (such as C0, C1 or C2) according to design requirements and apply the corresponding constraints.

[0128] Optimize the surface: Use optimization algorithms to adjust the surface parameters so that the transition between each part is as smooth as possible and meets the preset continuity conditions.

[0129] Freeform deformation algorithms are deformation techniques based on control meshes that allow designers to flexibly modify the shape of 3D models without destroying the original geometry. By changing the position of control points in the control mesh, the overall shape of the model can be affected, providing great flexibility and creativity.

[0130] The specific implementation steps are as follows: Construct a control mesh: Create a suitable control mesh for the surface model to be deformed.

[0131] Select control points: Select the control points that need to be adjusted according to the design intent.

[0132] Adjust control point positions: Adjust the positions of control points by dragging or inputting coordinates, and observe the real-time changes of the model.

[0133] Apply deformation: Confirm the adjusted control point positions and complete the model deformation operation.

[0134] The geometric continuity constraint algorithm described above is more suitable for applications with strict requirements for smooth transitions, while the free deformation algorithm provides designers with greater creative freedom. Both methods can effectively achieve feature integration in ceramic products, but the specific choice depends on the project's specific needs and design goals.

[0135] The above-described solution ensures a smooth transition between different curved surfaces through curvature blending, avoiding abrupt changes. This is crucial for enhancing the overall aesthetics and visual consistency of the product. For example, in the design of a ceramic vase, a lack of smooth transition between the neck and body can appear discordant and even negatively impact the user experience. Furthermore, ensuring a gradual blending of curvature reduces stress concentration, especially in high-stress areas (such as corners). This helps improve the product's structural strength and durability, extending its lifespan. For instance, in ceramic products used at high temperatures, a smooth curvature transition effectively disperses thermal stress, preventing cracking.

[0136] (5) Adaptive meshing is performed on the fused vessel model to generate visual metadata.

[0137] The specific implementation details of the above steps are as follows: import the vessel model, which is fused by the geometric continuity constraint algorithm or the free deformation algorithm, into software that supports mesh generation.

[0138] Define the target accuracy of the mesh generation according to design requirements. For example, a higher density mesh is needed in stress concentration areas, while a sparser mesh can be used in smooth areas.

[0139] This ensures that critical areas have sufficient resolution to capture details.

[0140] Furthermore, you can also select the mesh type, such as a triangular / quadrilateral surface mesh or a volume mesh (tetrahedral / hexahedral).

[0141] Based on the curvature distribution characteristics of the model surface and a preset curvature change threshold, the geometric region is divided into high curvature region and low curvature region. An adaptive mesh generation algorithm is used to automatically increase the mesh resolution in the high curvature region and reduce the mesh density in the low curvature region to generate a multi-scale mesh region.

[0142] It's important to note that the curvature change threshold is used to quantify the degree of significant change in local curvature, thereby distinguishing different geometric feature regions on the model surface. Specifically, this threshold can be determined by clustering the curvature of each point on the model surface. First, the curvature values ​​of all points on the model surface are calculated, generating a corresponding curvature distribution map. Then, a clustering algorithm is used to classify these curvature data points. During the clustering process, each cluster represents a specific curvature characteristic or range. To set the curvature change threshold, it is necessary to evaluate the range of curvature value changes within each cluster and the differences between clusters. The curvature change threshold is determined by setting the differences between clusters.

[0143] For example, suppose cluster analysis reveals that the surface of the vessel can be clearly divided into two main clusters: one cluster has curvature values ​​concentrated in a lower range, representing relatively flat or smooth transition areas; the other cluster contains higher curvature values, corresponding to edges, sharp corners, or other areas with rich geometric details. If analysis determines that the geometric details of the component begin to become complex and significantly affect the simulation results when the curvature value reaches 0.03 or higher, then the curvature variation threshold can be set to 0.03. In this way, during subsequent mesh generation, all regions with curvature exceeding this threshold will be assigned a higher-density mesh to ensure the accuracy and efficiency of the numerical simulation.

[0144] Extract geometric information (such as vertex coordinates, normal vectors, and element connection relationships) and physical field data (such as stress and temperature) from the generated mesh region as metadata, and mark functional attributes (such as decorative areas, support areas, etc.).

[0145] Furthermore, if the model contains multiple parts or features (such as a base, body, or decorations), a clear hierarchical structure needs to be defined so that the display effect of different parts can be controlled individually in the visualization.

[0146] Use a visualization tool to load the metadata of the grid area.

[0147] When visually loading mesh metadata, high-quality rendering techniques and advanced animation methods can be used to enhance the intuitive experience and significantly improve visual expressiveness.

[0148] In the optimized implementation of the above solution, the visualization also provides interactive functions, such as rotation, zoom, and point-and-click query, which makes it convenient for designers to view model details in real time.

[0149] The aforementioned method, which adaptively meshes the fused vessel model and generates visual metadata, effectively supports the evaluation and optimization of ceramic product designs. This approach not only improves design transparency and controllability but also provides reliable foundational data for subsequent manufacturing and analysis. Whether used for simulation analysis by engineers or for customer presentations, this technology significantly enhances design quality and communication efficiency.

[0150] Example 2

[0151] See Figure 3 As shown, the present invention proposes a feature fusion-based 3D visualization design system for ceramic products, including the following modules: Design constraint determination module: used to select line features and surface features of finished products that meet design requirements from historical ceramic manufacturing records as design constraints for the current product.

[0152] Constraint verification module: includes virtual modeling unit and constraint filtering unit, which are used to construct 3D verification model and filter valid constraint conditions, respectively.

[0153] Model building module: used to generate baseline and surface models based on effective constraints.

[0154] Fusion Design Module: Integrates geometric constraint fusion units and free fusion units, supporting dual-mode fusion design of the main body of the device.

[0155] Visualization module: Used for meshing and rendering mesh metadata of the fused vessel model.

[0156] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A feature-fusion-based three-dimensional visualization design method for ceramic products, characterized in that, Includes the following steps: (1) Select qualified finished products that match the current design requirements from the ceramic historical manufacturing records according to the preset error matching principle of vessel size and decoration alignment, and extract line feature parameters and surface feature parameters from the manufacturing data of qualified finished products as design constraints for the current product. (2) Construct the three-dimensional virtual shape contour baseline of the current product based on the line feature constraint conditions, construct the surface model of the current product based on the surface feature constraint conditions, apply dynamic load simulation to the three-dimensional virtual shape contour baseline, apply thermal expansion simulation to the surface model, and then verify the constraint effect by comprehensively simulating the simulation results and select the design constraint conditions that have been successfully verified. The simulation of applying dynamic loads to the baseline of the three-dimensional virtual object shape is implemented as follows: The physical properties of the materials are determined based on the manufacturing raw materials specified in the current product design; Define the support points of the vessel shape outline baseline according to the actual application scenario of the ceramic product; Set the boundary conditions for the simulation using the determined physical properties of the materials and the defined support points; Select the load type based on the product's expected usage, and set different load levels and simulation sequences for each load type; Under the set boundary conditions, the finite element analysis software applies dynamic loads to the support points of the three-dimensional virtual object contour baseline according to the preset load type and corresponding load level simulation sequence. During the simulation, the response data of the support points of the three-dimensional virtual object profile baseline under different load levels corresponding to the load type are output, including deformation, stress, and vibration data. The process of applying thermal expansion simulation to the curved surface model is as follows: The temperature range and temperature gradient during simulation are set according to the actual application environment of ceramic products, thereby generating a series of temperature nodes; The material physical properties of ceramic products are input into simulation software, and then a thermal expansion simulation program is run at each temperature node. During the simulation, the deformation and stress distribution diagrams of the surface model at different temperature nodes are visualized and output. The comprehensive simulation results are used to verify the constraint effects, and the successfully verified design constraints are selected through the following process: The response data of the support points under different load levels in the online characteristic simulation of each qualified product selected from historical manufacturing are quantified to obtain the response fluctuation of adjacent support points under different load levels. The response data of the support point under different load levels in the online characteristic simulation of each qualified product is compared with the set limit response amount to quantify the response exceeding the limit. The load response defect degree is defined as the fusion value of the response fluctuation and the response over-limit. Therefore, the load response defect degree of different load levels is calculated using the response fluctuation and response over-limit under different load levels. Weights are assigned to different load levels, and the load response defect degree of different load levels is combined with the weights to obtain the overall load response defect degree of each qualified product under online characteristic simulation. The process of verifying the constraint effects based on the comprehensive simulation results and selecting successfully verified design constraints also includes the following steps: For each qualified product selected from historical manufacturing, the deformation distribution map and stress distribution map at different temperature nodes in the surface feature simulation are marked with deformation distribution area and stress concentration area; The thermal expansion defect degree is defined as the fusion value of the area ratio of the deformation region and the area ratio of the stress concentration region. For each temperature node, the thermal expansion defect degree at that node is calculated based on the area ratio of the corresponding deformation distribution region and the area ratio of the stress concentration region. Weights are assigned to different temperature nodes, and the thermal expansion defect degree of different temperature nodes is combined with the weights to obtain the overall thermal expansion defect degree of each qualified product under surface feature simulation. The comprehensive simulation results are used to verify the constraint effect, and the successfully verified design constraints are then screened, which includes the following process: The overall load response defect degree and overall thermal expansion defect degree under online feature simulation and surface feature simulation of each qualified product are compared with the configured defect threshold. If the overall load response defect degree and overall thermal expansion defect degree under online feature simulation and surface feature simulation of a qualified product meet the defect threshold, then the corresponding line feature parameter and surface feature parameter of the qualified product are used as the design constraint condition for successful verification. (3) Based on the successfully verified design constraints, the effective device profile baseline and surface model of the current product are generated through parametric modeling; (4) Based on the generated effective vessel shape contour baseline and surface model, the curvature of the vessel body is gradually fused using a geometric continuity constraint algorithm, or an unconstrained fusion is performed using a free deformation algorithm; (5) Adaptive meshing is performed on the fused vessel model to generate visual metadata.

2. The feature fusion-based three-dimensional visualization design method for ceramic products as described in claim 1, characterized in that: The process for selecting qualified finished products that match the current design requirements is as follows: Extract manufacturing raw materials and manufacturing process environment from historical ceramic manufacturing records, and select consistent historical manufacturing records based on the manufacturing raw materials and manufacturing process environment specified in the current product design and mark them as similar manufacturing records. For each manufacturing record of the same type, extract the actual shape size and decoration type data of the corresponding finished product, compare and analyze them with the shape size and decoration type required by the current product design, and calculate the deviation value between the two. Guided by the preset error matching principle for vessel size and decoration alignment, evaluate whether the deviations in vessel size and decoration type in each similar manufacturing record are within acceptable ranges. Then select similar manufacturing records where both the deviations in vessel size and decoration type meet the preset error matching standard and define them as matching manufacturing records. For all finished products identified as matching manufacturing records, their associated finished product inspection records are reviewed, the quality inspection results of each finished product are extracted, and finished products that meet all quality inspection standards are identified as compliant finished products.

3. The feature fusion-based three-dimensional visualization design method for ceramic products as described in claim 1, characterized in that: The specific implementation process of step (3) is as follows: Define the parameter variables corresponding to the design constraints; In parametric modeling software, basic geometry is created based on the preliminary design concept, serving as the basis for the builder-type outline baseline; The verified line feature constraints are applied to the basic geometry, and the shape and size of the controllable profile baseline are controlled by adjusting the parameter variables. The initial surface model is generated based on the established vessel shape contour baseline using the tools provided by the parametric modeling software. The surface feature constraints that have been successfully verified are applied to the surface model, and the relevant parameters are adjusted to ensure that the smoothness, curvature continuity and other performance requirements of the surface are met.

4. The feature fusion-based three-dimensional visualization design method for ceramic products as described in claim 1, characterized in that: The specific content of step (5) is as follows: Import the vessel model, which is obtained by fusing geometric continuity constraint algorithms or free deformation algorithms, into software that supports mesh generation; Define the target accuracy of mesh generation according to design requirements; Based on the curvature distribution characteristics of the model surface and combined with a preset curvature change threshold, the geometric region is divided into high curvature region and low curvature region. An adaptive mesh generation algorithm is used to automatically increase the mesh resolution in the high curvature region and reduce the mesh density in the low curvature region to generate a multi-scale mesh region. Extract geometric information and physical field data from the generated mesh region as metadata, and mark functional attributes; Use a visualization tool to load the metadata of the grid area.

5. A feature-fusion-based 3D visualization design system for ceramic products, used to implement the feature-fusion-based 3D visualization design method for ceramic products as described in claim 1, characterized in that: Includes the following modules: Design constraint determination module: used to select line and surface features of finished products that meet design requirements from historical ceramic manufacturing records as design constraints for the current product; Constraint verification module: includes virtual modeling unit and constraint filtering unit, which are used to construct 3D verification model and filter valid constraint conditions, respectively; Model building module: used to generate baseline and surface models based on effective constraints; Fusion Design Module: Integrates geometric constraint fusion units and free fusion units, supporting dual-mode fusion design of the main body of the device; Visualization module: Used for meshing and rendering mesh metadata of the fused vessel model.

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