3D printing-based cultural and creative product rapid design method

Abstract

This invention relates to the field of product design technology, specifically a rapid design method for cultural and creative products based on 3D printing. The method, implemented using a rapid design system, includes the following steps: receiving multimodal cultural and creative product requirements input; preprocessing and standardizing the input content; filtering core elements through cultural element weighting to fill gaps in the requirements and obtain complete and clear design requirements; deconstructing and analyzing the core cultural elements; generating a parametric 3D basic model through cultural symbol adaptability; and clarifying the model's structural features and dimensional parameters. This invention completes requirements through multimodal input processing and cultural element weighting, quickly clarifying cultural and creative product design needs; transforms core cultural elements through cultural symbol adaptability analysis and parametric modeling, accurately conveying cultural connotations and flexibly generating diverse cultural and creative product models; and adjusts the model through process adaptability scoring optimization and simulation verification pass rate checks, improving printing feasibility and product structural stability.

Description

Technical Field

[0001] This invention relates to the field of product design technology, specifically a rapid design method for cultural and creative products based on 3D printing. Background Technology

[0002] Cultural and creative products are products that integrate various cultural elements and creative designs, possessing cultural connotations, artistic value, practical functions, or aesthetic value. Their core lies in conveying specific cultural information and aesthetic concepts through concrete forms.

[0003] Generally, the traditional design and production process of cultural and creative products usually begins with market research to collect cultural themes and user needs. Then, designers create hand-drawn sketches or computer-generated models. After the design is completed, physical samples are made for review and modification. After the final draft is revised, molds are developed and produced. Finally, mass production is carried out based on the molds and the products are launched to the market.

[0004] Therefore, the traditional cultural and creative product design process suffers from lengthy design cycles and high costs. Furthermore, the transformation of cultural elements lacks precise adaptation, the combination of modules is not flexible enough, and the process adaptability relies on experience-based judgment, resulting in low product printing or production qualification rates. At the same time, it is difficult to quickly iterate and optimize based on user feedback, and it is unable to efficiently respond to the diverse and personalized needs of the market.

[0005] In summary, a rapid design method for cultural and creative products based on 3D printing needs to be proposed to solve the above problems. Summary of the Invention

[0006] The purpose of this invention is to provide a rapid design method for cultural and creative products based on 3D printing, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: This invention proposes a rapid design method for cultural and creative products based on 3D printing. The method is implemented based on a rapid design system and includes the following steps: S1. Receive multimodal cultural and creative needs input, preprocess and standardize the input content, filter core elements through cultural element weights, fill in the gaps in the needs, and obtain complete and clear design requirements; S2. Deconstruct and analyze the core cultural elements, generate a parametric 3D basic model through cultural symbol compatibility, and clarify the structural features and size parameters of the model. S3. Call the modular design library, select the appropriate module based on the module splicing matching degree, realize the precise combination of the module and the 3D basic model, and generate the initial 3D model; S4. Based on the characteristics of 3D printing process, optimize the model structure and parameters through process adaptation scoring, and determine the printing material, wall thickness and support layout scheme; S5. Verify the feasibility of printing the model, structural stability, and visual effect through simulation. If it fails, return to step S4 to re-optimize. If it passes, generate a standard 3D printing file. S6. Print a 1:1 prototype sample, compare the design data with the actual sample data through deviation correction, and fine-tune the model parameters to form the final solution; S7. Output multi-format print files, design drawings, and process parameter lists, and synchronously update the modular design library and process parameter library; S8. Based on the optimized iterative recording of design process data and user feedback, continuously optimize design rules and module libraries to improve design efficiency.

[0008] Preferably, the implementation process of step S1 is as follows: It provides a multimodal input interface for text, image, voice, and physical object scanning, and performs noise removal and format standardization preprocessing on the input content; The core elements are extracted by weighting the core cultural elements, as shown in equation (1): (1); In the formula Let l be the weight of the l-th cultural element in the k-th requirement. This represents the percentage of the element's frequency of appearance in the demand. The correlation between elements and cultural and creative product types ranges from 0.6 to 1.0. The cultural distinctiveness of an element is rated from 0.7 to 1.0. Elements with a weight value ≥ 0.8 are identified as core cultural elements. If a core element is missing, related elements are recommended based on the cultural genealogy database to complete the requirement.

[0009] Preferably, the implementation process of step S2 is as follows: Deconstruct and analyze the outline features, texture details, and color tone of core cultural elements; A parametric 3D basic model is generated based on the cultural symbol adaptation degree, as shown in equation (2): (2); In the formula The cultural symbol fit score ranges from 0 to 1.0. The degree of matching between element features and model structure. To ensure the completeness of the cultural connotation, For model size adaptation; Set the model size range as follows: length 3cm to 30cm, width 3cm to 25cm, height 2cm to 20cm. A value ≥0.7 is considered a valid 3D base model.

[0010] Preferably, the implementation process of step S3 is as follows: The modular design library includes functional modules and decorative modules. The functional modules cover storage, support, and hanging types, while the decorative modules cover patterned borders and embossed types. Each module has a pre-defined standardized interface with a diameter ranging from 3mm to 10mm and a depth ranging from 2mm to 8mm. The appropriate module is selected based on the module splicing matching degree, as shown in equation (3): (3); In the formula The matching degree between the m-th base model and the n-th module ranges from 0 to 1.0. For interface size matching, For structural compatibility, For semantic relevance; When the value is ≥0.7, select this module to accurately stitch together and generate the initial 3D model through coordinate positioning.

[0011] Preferably, the implementation process of step S4 is as follows: The model parameters are optimized through process adaptation scoring, as shown in equation (4): (4); In the formula The process adaptation score ranges from 0 to 1.0. For printing material matching, For the sake of reasonable wall thickness, To support layout optimization, For printing efficiency; The minimum wall thickness is preset to 1.5mm for resin material, 2.0mm for PLA material, and 2.5mm for ABS material; When the value is ≥0.75, the process plan is determined, and the largest plane is selected as the printing reference plane.

[0012] Preferably, the implementation process of step S5 is as follows: The pass rate verification model was validated through simulation, as shown in equation (5): (5); In the formula The simulation verification pass rate is set to a range of 0 to 1.0. To score the feasibility of printing, Score the structural stability. Score the visual presentation effect; If the value is ≥0.8, the verification is considered passed. If it fails, the wall thickness support structure or printing direction should be adjusted, and the process should be re-optimized.

[0013] Preferably, the implementation process of step S6 is as follows: Print a 1:1 prototype sample using the corresponding materials and process parameters, remove the support structure and clean the surface; By correcting for deviations and comparing the data, see equation (6): (6); In the formula This is the average deviation value. For the design data of the i-th detection point, This represents the actual sample data for the i-th detection point. This represents the total number of testing sites. When the value is greater than 0.3mm, the corresponding position parameters will be automatically adjusted. For thicknesses ≤0.3mm, manual fine-tuning can be selectively performed to form the final design scheme.

[0014] Preferably, the implementation process of step S7 is as follows: It outputs print files in three standard formats: STLOBJ3MF, which are compatible with mainstream 3D printing technologies such as fused deposition modeling and photopolymerization. The design drawings include front view, side view, top view, key section view, and annotation of core dimensions and assembly relationships; The process parameter list clearly defines key parameters such as printing speed, layer height, fill rate, and temperature, and stores the process parameters of module combination methods in the corresponding database.

[0015] Preferably, the implementation process of step S8 is as follows: By optimizing the design system through iteration, as shown in equation (7): (7); In the formula To optimize the iteration coefficient range from 0 to 1.0, Provide users with weighted scores. To improve the compatibility with historical cases; Record the module selection parameters, process adaptation scheme deviation adjustment data of the cultural element extraction results module. When the value is ≥0.7, the modular design library is updated to add new modules and the process parameter matching rules are optimized.

[0016] This invention proposes a rapid design method for cultural and creative products based on 3D printing. The rapid design system further includes: The requirement processing module is used to perform the multimodal input processing, cultural element extraction, and requirement completion in step S1. A model generation module is used to perform the cultural symbol transformation in step S2 and the module splicing and combination in step S3. A process optimization module is used to perform the process adaptation optimization in step S4 and the simulation verification in step S5. An iterative output module is used to output the results of the deviation correction step S7 in step S6 and the optimization iteration in step S8.

[0017] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention completes requirements through multimodal input processing and cultural element weighting, quickly clarifying cultural and creative design needs; it transforms core cultural elements through cultural symbol adaptability analysis and parametric modeling, accurately conveying cultural connotations; it combines models through modular design library calls and module splicing matching degree screening, flexibly generating diverse cultural and creative product models; it adjusts models through process adaptability scoring optimization and simulation verification pass rate checks, improving 3D printing feasibility and product structural stability; it fine-tunes model parameters through prototype sample deviation correction, ensuring the forming accuracy and visual effect of cultural and creative products; and it also updates design rules through design process data recording and optimization iteration coefficient analysis, continuously improving the design efficiency and adaptability of cultural and creative products. Attached Figure Description

[0018] Figure 1 The flowchart of the rapid design method for cultural and creative products based on 3D printing of the present invention is shown. Detailed Implementation

[0019] 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.

[0020] Example 1, please refer to Figure 1 This invention proposes a rapid design method for cultural and creative products based on 3D printing. The method is implemented based on a rapid design system, which includes: The requirement processing module is used to perform the multimodal input processing, cultural element extraction, and requirement completion in step S1. A model generation module is used to perform the cultural symbol transformation in step S2 and the module splicing and combination in step S3. A process optimization module is used to perform the process adaptation optimization in step S4 and the simulation verification in step S5. An iterative output module is used to output the results of the deviation correction step S7 in step S6 and the optimization iteration in step S8. Based on the system, the method of the present invention specifically includes the following steps: S1. Receive multimodal cultural and creative needs input, preprocess and standardize the input content, filter core elements through cultural element weights, fill in the gaps in the needs, and obtain complete and clear design requirements; It should also be noted that the implementation process of step S1 is as follows: It provides a multimodal input interface for text, image, voice, and physical object scanning, and performs noise removal and format standardization preprocessing on the input content; The core elements are extracted by weighting the core cultural elements, as shown in equation (1): (1); In the formula Let l be the weight of the l-th cultural element in the k-th requirement. This represents the percentage of the element's frequency of appearance in the demand. The correlation between elements and cultural and creative product types ranges from 0.6 to 1.0. The cultural distinctiveness of an element is rated from 0.7 to 1.0. Elements with a weight value ≥ 0.8 are identified as core cultural elements. If a core element is missing, related elements are recommended based on the cultural genealogy database to complete the requirement.

[0021] S2. Deconstruct and analyze the core cultural elements, generate a parametric 3D basic model through cultural symbol compatibility, and clarify the structural features and size parameters of the model. It should also be noted that the implementation process of step S2 is as follows: Deconstruct and analyze the outline features, texture details, and color tone of core cultural elements; A parametric 3D basic model is generated based on the cultural symbol adaptation degree, as shown in equation (2): (2); In the formula The cultural symbol fit score ranges from 0 to 1.0. The degree of matching between element features and model structure. To ensure the completeness of the cultural connotation, For model size adaptation; Set the model size range as follows: length 3cm to 30cm, width 3cm to 25cm, height 2cm to 20cm. A value ≥0.7 is considered a valid 3D base model.

[0022] S3. Call the modular design library, select the appropriate module based on the module splicing matching degree, realize the precise combination of the module and the 3D basic model, and generate the initial 3D model; It should also be noted that the implementation process of step S3 is as follows: The modular design library includes functional modules and decorative modules. The functional modules cover storage, support, and hanging types, while the decorative modules cover patterned borders and embossed types. Each module has a pre-defined standardized interface with a diameter ranging from 3mm to 10mm and a depth ranging from 2mm to 8mm. The appropriate module is selected based on the module splicing matching degree, as shown in equation (3): (3); In the formula The matching degree between the m-th base model and the n-th module ranges from 0 to 1.0. For interface size matching, For structural compatibility, For semantic relevance; When the value is ≥0.7, select this module to accurately stitch together and generate the initial 3D model through coordinate positioning.

[0023] S4. Based on the characteristics of 3D printing process, optimize the model structure and parameters through process adaptation scoring, and determine the printing material, wall thickness and support layout scheme; It should also be noted that the implementation process of step S4 is as follows: The model parameters are optimized through process adaptation scoring, as shown in equation (4): (4); In the formula The process adaptation score ranges from 0 to 1.0. For printing material matching, For the sake of reasonable wall thickness, To support layout optimization, For printing efficiency; The minimum wall thickness is preset to 1.5mm for resin material, 2.0mm for PLA material, and 2.5mm for ABS material; When the value is ≥0.75, the process plan is determined, and the largest plane is selected as the printing reference plane.

[0024] S5. Verify the feasibility of printing the model, structural stability, and visual effect through simulation. If it fails, return to step S4 to re-optimize. If it passes, generate a standard 3D printing file. It should also be noted that the implementation process of step S5 is as follows: The pass rate verification model was validated through simulation, as shown in equation (5): (5); In the formula The simulation verification pass rate is set to a range of 0 to 1.0. To score the feasibility of printing, Score the structural stability. Score the visual presentation effect; If the value is ≥0.8, the verification is considered passed. If it fails, the wall thickness support structure or printing direction should be adjusted, and the process should be re-optimized.

[0025] S6. Print a 1:1 prototype sample, compare the design data with the actual sample data through deviation correction, and fine-tune the model parameters to form the final solution; It should also be noted that the implementation process of step S6 is as follows: Print a 1:1 prototype sample using the corresponding materials and process parameters, remove the support structure and clean the surface; By correcting for deviations and comparing the data, see equation (6): (6); In the formula This is the average deviation value. For the design data of the i-th detection point, This represents the actual sample data for the i-th detection point. This represents the total number of testing sites. When the value is greater than 0.3mm, the corresponding position parameters will be automatically adjusted. For thicknesses ≤0.3mm, manual fine-tuning can be selectively performed to form the final design scheme.

[0026] S7. Output multi-format print files, design drawings, and process parameter lists, and synchronously update the modular design library and process parameter library; It should also be noted that the implementation process of step S7 is as follows: It outputs print files in three standard formats: STLOBJ3MF, which are compatible with mainstream 3D printing technologies such as fused deposition modeling and photopolymerization. The design drawings include front view, side view, top view, key section view, and annotation of core dimensions and assembly relationships; The process parameter list clearly defines key parameters such as printing speed, layer height, fill rate, and temperature, and stores the process parameters of module combination methods in the corresponding database.

[0027] S8. Based on the optimized iterative recording of design process data and user feedback, continuously optimize design rules and module libraries to improve design efficiency.

[0028] It should also be noted that the implementation process of step S8 is as follows: By optimizing the design system through iteration, as shown in equation (7): (7); In the formula To optimize the iteration coefficient range from 0 to 1.0, Provide users with weighted scores. To improve the compatibility with historical cases; Record the module selection parameters, process adaptation scheme deviation adjustment data of the cultural element extraction results module. When the value is ≥0.7, the modular design library is updated to add new modules and the process parameter matching rules are optimized.

[0029] Example 2: In practical application, the rapid design method for cultural and creative products based on 3D printing of this invention is applied to the rapid design of cultural and creative ornaments. Specifically, the steps are as follows: Step 1. Receive multimodal cultural and creative requirements input, preprocess and standardize the input content, filter core elements through cultural element weights, fill in the requirement gaps, and obtain complete and clear design requirements; Specifically, the system receives user text input for intangible cultural heritage paper-cutting creative ornaments, which must reflect paper-cutting hollow patterns, folk auspicious meanings, and be suitable for desktop placement. At the same time, it receives three images of traditional paper-cutting patterns uploaded by the user, completes data collection through a multimodal input interface, performs semantic normalization processing on the input text, performs noise removal and size standardization preprocessing on the images, and extracts core elements through the weight of core cultural elements, as shown in equation (1): (1); In the formula Let l be the weight of the l-th cultural element in the k-th requirement. This represents the percentage of the element's frequency of appearance in the demand. The correlation between elements and cultural and creative product types ranges from 0.6 to 1.0. The cultural distinctiveness of an element is rated from 0.7 to 1.0. In this requirement, the paper-cut openwork pattern is... , , Calculated ; Folk auspicious meanings , , Calculated Add elements to suit desktop placement ( Complete the requirement supplementation; The design requirements are clearly defined as a non-material cultural heritage paper-cutting creative desktop ornament, featuring hollowed-out patterns, embodying auspicious folk customs, with a size suitable for desktop placement, and easy to mass-produce using 3D printing; Step 2. Deconstruct and analyze the core cultural elements, generate a parametric 3D basic model through cultural symbol adaptation, and clarify the structural features and size parameters of the model; Specifically, the paper-cutting hollow patterns, folk auspicious meanings, and desktop placement adaptability are deconstructed and analyzed. The hollow outline features, line texture details, and traditional red tone of the paper-cutting patterns are extracted. The folk auspicious meanings are decomposed into two figurative symbols: auspicious clouds and bats. A parameterized 3D basic model is generated through the cultural symbol adaptability, as shown in Equation (2): (2); In the formula The cultural symbol fit score ranges from 0 to 1.0. The degree of matching between element features and model structure. To ensure the completeness of the cultural connotation, For model size adaptation; Set the model dimensions to a range of 8cm to 12cm in length, 8cm to 12cm in width, and 3cm to 5cm in height, then substitute the parameters to calculate... The model was determined to be a valid 3D basic model. The model structure is defined as a circular base with a hollowed-out pattern body. The base is 0.8cm thick, the body adopts a hollowed-out structure, and a 3D printing support structure installation position is reserved. Step 3. Call the modular design library, select the appropriate module based on the module splicing matching degree, realize the precise combination of the module and the 3D basic model, and generate the initial 3D model; Specifically, a modular design library is invoked, which includes two main categories: functional modules and decorative modules. Functional modules cover types such as storage, support, and hanging, while decorative modules cover types such as patterns, borders, and reliefs. Each module has a pre-defined standardized interface with a diameter range of 3mm to 10mm and a depth range of 2mm to 8mm. The auspicious cloud relief decorative module, the bat hollow decorative module, and the desktop anti-slip functional module are selected. The matching module is selected by the module splicing matching degree, as shown in formula (3): (3); In the formula The matching degree between the m-th base model and the n-th module ranges from 0 to 1.0. For interface size matching, For structural compatibility, For semantic relevance; Calculated auspicious cloud relief decorative module Bat-shaped hollow decorative module Desktop anti-slip function module All satisfy With a resolution of ≥0.7, the auspicious cloud relief module is spliced ​​onto the side of the main body of the model, the bat hollow module is spliced ​​onto the front of the main body of the model, and the anti-slip module is spliced ​​onto the bottom of the base through coordinate positioning, so as to achieve precise splicing and generate the initial 3D model; Step 4. Based on the characteristics of 3D printing process, optimize the model structure and parameters through process adaptation scoring, and determine the printing material, wall thickness and support layout scheme; Specifically, based on the characteristics of 3D printing photopolymerization process, the model parameters are optimized through process adaptation scoring, as shown in equation (4): (4); In the formula The process adaptation score ranges from 0 to 1.0. For printing material matching, For the sake of reasonable wall thickness, To support layout optimization, For printing efficiency; The minimum wall thickness is preset to 1.5mm for resin, 2.0mm for PLA, and 2.5mm for ABS. Transparent resin was selected for this project. The main body wall thickness was set to 1.5mm, and the base wall thickness to 2.0mm. A support structure was placed inside the hollow structure, with the connection area between the support structure and the main body controlled at 12%. The largest plane of the base was chosen as the printing reference plane. The calculated parameters were then used to obtain... ,satisfy ≥0.75, determine the process plan; Step 5. Verify the feasibility of printing the model, structural stability, and visual effect through simulation. If it fails, return to step S4 to re-optimize. If it passes, generate a standard 3D printing file. Specifically, the optimized model is verified using simulation tools, and the model is verified by simulation to check the pass rate, as shown in equation (5): (5); In the formula The simulation verification pass rate is set to a range of 0 to 1.0. To score the feasibility of printing, Score the structural stability. Score the visual presentation effect; Substituting the simulation data into the calculation results ,satisfy If the value is ≥0.8, the verification is considered passed, and a standard STL format 3D printing file is generated. Step 6. Print a 1:1 prototype sample, compare the design data with the actual sample data through deviation correction, and fine-tune the model parameters to form the final solution; Specifically, using transparent resin material and determined process parameters, a 1:1 prototype sample was printed. After printing, the support structure was removed and the surface was cleaned. The actual three-dimensional data of the sample was obtained using a three-dimensional scanning device. The data was compared by deviation correction, as shown in equation (6): (6); In the formula This is the average deviation value. For the design data of the i-th detection point, This represents the actual sample data for the i-th detection point. This represents the total number of testing sites. Fifty detection points were selected for comparison, and the results were calculated. ,satisfy ≤0.3mm, make slight manual adjustments to the line width of the hollowed-out pattern of the model, with an adjustment range of 0.1mm, to form the final design scheme; Step 7. Output multi-format printable files, design drawings, and process parameter lists, and update the modular design library and process parameter library simultaneously; Specifically, the system outputs printing files in three standard formats: STL, OBJ, and 3MF, adapting to mainstream 3D printing technologies such as fused deposition modeling and photopolymerization. The design drawings include front, side, and top views, as well as key cross-sectional views, with annotations of core dimensions and assembly relationships. The process parameter list clearly specifies key parameters such as printing speed of 50mm / s, layer height of 0.05mm, infill rate of 80%, and printing temperature of 60℃. The system also stores the auspicious cloud + bat module combination method and transparent resin process parameters designed in this project into the corresponding database and completes the database update. Step 8. Based on the optimization and iterative design system, record design process data and user feedback, continuously optimize design rules and module library, and improve design efficiency; Specifically, the design system is optimized through iterative optimization, as shown in equation (7): (7); In the formula To optimize the iteration coefficient range from 0 to 1.0, Provide users with weighted scores. To improve the compatibility with historical cases; Record the results of cultural element extraction, module selection parameters, process adaptation schemes and deviation adjustment data during this design process, and collect user feedback ratings for the prototype sample. ), combined with the adaptability of historical intangible cultural heritage creative design cases ( ), calculated ,satisfy ≥0.7, update the modular design library, add the customized paper-cutting pattern decoration module for this design, and optimize the printing parameter matching rules for transparent resin materials in the process parameter library; Corresponding to the above-mentioned rapid design method for intangible cultural heritage creative ornaments based on 3D printing, the applied rapid design systems include: The demand processing module is used to perform multimodal input processing, cultural element extraction and demand completion in step S1. Specifically, it is used to receive text and image multimodal inputs, complete preprocessing and normalization, calculate cultural element weights through formula (1), and complete demand gaps. The model generation module is used to perform the cultural symbol transformation in step S2 and the module splicing combination in step S3. Specifically, it is used to deconstruct the core cultural elements, calculate the cultural symbol adaptability through formula (2) and generate a 3D basic model, call the modular design library, calculate the module splicing matching degree through formula (3), complete the precise splicing of modules and generate the initial 3D model. The process optimization module is used to perform the process adaptation optimization in step S4 and the simulation verification in step S5. Specifically, it is used to combine the characteristics of 3D printing process, calculate the process adaptation score and optimize the model parameters through formula (4), and calculate the simulation verification pass rate and complete the model verification through formula (5). The iteration output module is used to perform deviation correction in step S6, output results in step S7, and optimization iteration in step S8. Specifically, it is used to calculate the deviation value and fine-tune the model parameters through equation (6), output multi-format files and process parameter lists, calculate the optimization iteration coefficient through equation (7), and complete the database update and design system optimization.

[0030] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A rapid design method for cultural and creative products based on 3D printing, the method being implemented using a rapid design system, characterized in that... Includes the following steps: S1. Receive multimodal cultural and creative requirements input, preprocess and standardize the input content, filter core elements through cultural element weights, fill in the requirement gaps, and obtain complete and clear design requirements; S2. Deconstruct and analyze the core cultural elements, generate a parametric 3D basic model through cultural symbol compatibility, and clarify the structural features and size parameters of the model. S3. Call the modular design library, select the appropriate module based on the module splicing matching degree, realize the precise combination of the module and the 3D basic model, and generate the initial 3D model; S4. Based on the characteristics of 3D printing process, optimize the model structure and parameters through process adaptation scoring, and determine the printing material, wall thickness and support layout scheme; S5. Verify the feasibility of printing the model, structural stability, and visual effect through simulation. If it fails, return to step S4 to re-optimize. If it passes, generate a standard 3D printing file. S6. Print a 1:1 prototype sample, compare the design data with the actual sample data through deviation correction, and fine-tune the model parameters to form the final solution; S7. Output multi-format print files, design drawings, and process parameter lists, and synchronously update the modular design library and process parameter library; S8. Based on the optimization and iteration records of design process data and user feedback, continuously optimize design rules and module libraries.

2. The rapid design method for cultural and creative products based on 3D printing according to claim 1, characterized in that, The implementation process of step S1 is as follows: It provides a multimodal input interface for text, image, voice, and physical object scanning, and performs noise removal and format standardization preprocessing on the input content; The core elements are extracted by weighting the core cultural elements, as shown in equation (1): （1）； In the formula Let l be the weight of the l-th cultural element in the k-th requirement. This represents the percentage of the element's frequency of appearance in the demand. The correlation between elements and cultural and creative product types ranges from 0.6 to 1.

0. The cultural distinctiveness of an element is rated from 0.7 to 1.

0. Elements with a weight value ≥ 0.8 are identified as core cultural elements. If a core element is missing, related elements are recommended based on the cultural genealogy database to complete the requirement.

3. The rapid design method for cultural and creative products based on 3D printing according to claim 2, characterized in that, The implementation process of step S2 is as follows: Deconstruct and analyze the outline features, texture details, and color tone of core cultural elements; A parametric 3D basic model is generated based on the cultural symbol adaptation degree, as shown in equation (2): （2）； In the formula The cultural symbol fit score ranges from 0 to 1.

0. The degree of matching between element features and model structure. To ensure the completeness of the cultural connotation, For model size adaptation; Set the model size range as follows: length 3cm to 30cm, width 3cm to 25cm, height 2cm to 20cm. A value of ≥0.7 indicates a valid 3D base model.

4. The rapid design method for cultural and creative products based on 3D printing according to claim 3, characterized in that, The implementation process of step S3 is as follows: The modular design library includes functional modules and decorative modules. The functional modules cover storage, support, and hanging types, while the decorative modules cover patterned borders and embossed types. Each module has a pre-defined standardized interface with a diameter ranging from 3mm to 10mm and a depth ranging from 2mm to 8mm. The appropriate module is selected based on the module splicing matching degree, as shown in equation (3): （3）； In the formula The matching degree between the m-th base model and the n-th module ranges from 0 to 1.

0. For interface size matching, For structural compatibility, For semantic relevance; When the value is ≥0.7, select this module to accurately stitch together and generate the initial 3D model through coordinate positioning.

5. The rapid design method for cultural and creative products based on 3D printing according to claim 4, characterized in that, The implementation process of step S4 is as follows: The model parameters are optimized through process adaptation scoring, as shown in equation (4): （4）； In the formula The process adaptation score ranges from 0 to 1.

0. For printing material matching, For the sake of reasonable wall thickness, To support layout optimization, For printing efficiency; The minimum wall thickness is preset to 1.5mm for resin material, 2.0mm for PLA material, and 2.5mm for ABS material; When the value is ≥0.75, the process plan is determined, and the largest plane is selected as the printing reference plane.

6. The rapid design method for cultural and creative products based on 3D printing according to claim 5, characterized in that, The implementation process of step S5 is as follows: The pass rate verification model was validated through simulation, as shown in equation (5): （5）； In the formula The simulation verification pass rate is set to a range of 0 to 1.

0. To score the feasibility of printing, Score the structural stability. Score the visual presentation effect; If the value is ≥0.8, the verification is considered passed. If it fails, the wall thickness support structure or printing direction should be adjusted, and the process should be adapted and optimized again.

7. The rapid design method for cultural and creative products based on 3D printing according to claim 6, characterized in that, The implementation process of step S6 is as follows: Print a 1:1 prototype sample using the corresponding materials and process parameters, remove the support structure and clean the surface; By correcting for deviations and comparing the data, see equation (6): （6）； In the formula This is the average deviation value. For the design data of the i-th detection point, This represents the actual sample data for the i-th detection point. This represents the total number of testing sites. When the value is greater than 0.3mm, the corresponding position parameters will be automatically adjusted. For thicknesses ≤0.3mm, manual fine-tuning can be selectively performed to form the final design scheme.

8. The rapid design method for cultural and creative products based on 3D printing according to claim 7, characterized in that, The implementation process of step S7 is as follows: It outputs print files in three standard formats: STLOBJ3MF, which are compatible with mainstream 3D printing technologies such as fused deposition modeling and photopolymerization. The design drawings include front view, side view, top view, key section view, and annotation of core dimensions and assembly relationships; The process parameter list clearly defines key parameters such as printing speed, layer height, fill rate, and temperature, and stores the process parameters of module combination methods in the corresponding database.

9. A rapid design method for cultural and creative products based on 3D printing according to claim 8, characterized in that, The implementation process of step S8 is as follows: By optimizing the design system through iteration, as shown in equation (7): （7）； In the formula To optimize the iteration coefficient range from 0 to 1.0, Provide users with weighted scores. To improve the compatibility with historical cases; Record the module selection parameters, process adaptation scheme deviation adjustment data of the cultural element extraction results module. When the value is ≥0.7, the modular design library is updated to add new modules and the process parameter matching rules are optimized.

10. A rapid design system for cultural and creative products, applied to the rapid design method for cultural and creative products based on 3D printing as described in any one of claims 1-9, characterized in that, The system includes: The requirement processing module is used to perform the multimodal input processing, cultural element extraction, and requirement completion in step S1. A model generation module is used to perform the cultural symbol transformation in step S2 and the module splicing and combination in step S3. A process optimization module is used to perform the process adaptation optimization in step S4 and the simulation verification in step S5. An iterative output module is used to output the results of the deviation correction step S7 in step S6 and the optimization iteration in step S8.

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