Manufacturing method of topological optimization organic form furniture
Through topological optimization algorithms and digital processes, the problems of low efficiency of traditional furniture design and manufacturing processes and insufficient material utilization are solved, and the design and manufacturing of organic form furniture with lightweight, durability and portability are realized.
Patent Information
- Application Number
- CN202411901281.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-04-22
AI Technical Summary
Traditional furniture design and manufacturing processes are inefficient, limited design flexibility, and inability to make full use of materials, resulting in a large number of redundant materials in the furniture structure, increasing weight and cost, and wasting resources.
Using topological optimization algorithms and digital processes, we use databases, establish initial geometric models, grid optimization and constraint screening, remove redundant material structural units, form lightweight models, and realize physical manufacturing through 3D printing or CNC processing.
It significantly improves material utilization efficiency, reduces material waste, and designs innovative and artistic organic furniture, maintains structural strength while achieving light weight, improving the durability and portability of furniture.
Smart Images

Figure CN119862702A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a method for manufacturing furniture, and in particular to a method for manufacturing topologically optimized organic-shaped furniture. Background Art
[0002] Traditional furniture design and manufacturing processes mainly rely on manual mapping, material processing and assembly, which are inefficient and have limited design flexibility. In recent years, although 3D printing technology and CNC processing technology have been promoted, the collaboration between design and manufacturing still lacks a unified digital process. Especially in the production of complex furniture, there are many manual steps, low production efficiency, and limited optimization effects. In addition, traditional design methods often cannot make full use of materials, resulting in a large amount of redundant materials in the furniture structure, which increases the weight and cost of the furniture and also causes a waste of resources.
[0003] Therefore, there is an urgent need for a method for manufacturing topologically optimized organic-shaped furniture to solve the technical problems existing in the above-mentioned prior art. Summary of the invention
[0004] The present invention overcomes the deficiencies of the prior art and provides a method for manufacturing topologically optimized organic-shaped furniture.
[0005] To achieve the above object, the technical solution adopted by the present invention is: a method for making topologically optimized organic morphological furniture, comprising the following steps:
[0006] S1, constructing a database for storing existing furniture appearance data, organizing the database using target image contours and extracting key features, and then converting the key features into organic furniture form sketch data;
[0007] S2. Use modeling software to establish an initial geometric model, and import the organic furniture form sketch data into the initial geometric model; determine the overall size and form of the initial geometric model based on indoor environmental parameters and design requirements, and perform mesh optimization of the basic form to generate mesh data;
[0008] S3, setting constraint conditions for screening the mesh data, and using a topology optimization algorithm to gradually optimize the initial geometric model, remove redundant material structural units and form an organic form, and output a lightweight model according to the optimization results;
[0009] S4, importing the lightweight model into the modeling software, and performing secondary optimization, adding connecting parts or functional modules, adding a base or supporting parts to the lightweight model, and generating an organic morphology furniture model;
[0010] S5. Use 3D printing equipment to select linear materials, powdered materials or liquid materials to physically manufacture the organic morphological furniture model to obtain physical organic morphological furniture.
[0011] In a preferred embodiment of the present invention, the organic furniture has two different forms: one-piece and assembled. The one-piece organic furniture is manufactured by following steps S1 to S5, and the assembled organic furniture needs to add the following steps between steps S4 and S5:
[0012] S41, digging out connection holes and grooves on the surface of the organic morphological furniture model by using Boolean operation;
[0013] S42, selecting a connecting piece that matches the connecting hole groove; wherein the connection method between the connecting piece and the connecting hole groove is one or more of mortise and tenon, screw hole, snap-fit, and latch structure.
[0014] S43, using slicing software, slicing the organic furniture model in step S41 to obtain component fragments, and printing the component fragments using the operation steps of step S5;
[0015] S44, assembling the component fragments according to the structure of the organic morphological furniture, and polishing the surface of the assembled organic morphological furniture to obtain assembled organic morphological furniture.
[0016] In a preferred embodiment of the present invention, in step S3, a bidirectional progressive structural optimization algorithm is used to optimize the initial geometric model based on volume constraints; wherein the mathematical model of the bidirectional progressive structural optimization algorithm is:
[0017]
[0018] xi=0,xi=1
[0019] Where C represents the average strain energy of the structure; F represents the structural load matrix; T represents the pseudo time of iteration during the optimization process; U represents the displacement matrix; V * Represents the target volume of the calculation; vi is the unit volume; xi represents the design variable, which can take the value of "0" or "1", "0" represents the required unit and "1" represents the real unit; V represents the structural volume after N iterations.
[0020] In a preferred embodiment of the present invention, the bidirectional progressive structural optimization algorithm is used to perform continuous calculations, and then the initial geometric model is generated by iteratively modifying or adding units; when the information display result of the initial geometric model is consistent with the parameters determined based on the indoor environment parameters and design requirements or meets the convergence conditions, the structural bidirectional topology optimization calculation of the current initial geometric model is performed, and the bidirectional progressive topology optimization calculation is completed.
[0021] In a preferred embodiment of the present invention, the physical manufacturing of the organic morphology furniture model can also be achieved by CNC processing equipment or a laser cutting machine, wherein the metal parts of the organic morphology furniture can be realized by robot bending technology, and the wooden or composite material parts can be realized by cutting and forming processes.
[0022] In a preferred embodiment of the present invention, in step S4, the secondary optimization includes optimizing the volume, evolution rate, filtering radius, maximum number of iteration steps and interval steps of the lightweight model.
[0023] In a preferred embodiment of the present invention, the volume optimization refers to the ratio of the volume of the optimized model to the volume of the original lightweight model, and the optimization target range is set between 20% and 55%; the evolution rate represents the percentage of volume material deleted each time during the iterative optimization process, and the optimization range is set between 1.5% and 3%; the filtering radius is set to 1.5 to 2 times the grid size.
[0024] In a preferred embodiment of the present invention, the outer surface of the organic-shaped furniture can be polished, painted or otherwise decoratively treated, and can also be treated with texture, color or transparent material according to user needs.
[0025] The present invention solves the defects existing in the background technology and has the following beneficial effects:
[0026] (1) Through the topology optimization algorithm, redundant material structural units can be removed to form a lightweight model, which can significantly improve the utilization efficiency of materials and reduce material waste.
[0027] (2) Using organic furniture shape sketch data and combining it with topological optimization algorithms, we can design innovative and artistic organic furniture to meet modern aesthetic needs.
[0028] (3) The optimized furniture model achieves lightweight while maintaining structural strength, thereby improving the durability and portability of the furniture.
[0029] (4) The manufacturing method provided by the present invention supports the manufacturing of two types of furniture: one-piece and assembled. Users can choose according to their needs. At the same time, the outer surface of the furniture can be subjected to a variety of decorative treatments to increase personalized choices. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.
[0031] Figure 1 is a flow chart of a method for making organic morphological furniture according to a preferred embodiment of the present invention;
[0032] Figure 2 It is a production flow chart of assembled organic morphological furniture according to a preferred embodiment of the present invention;
[0033] Figure 3 It is a model effect diagram of the organic morphological furniture of the preferred embodiment of the present invention;
[0034] Figure 4 This is a model effect diagram of an organic-shaped furniture after the first slicing process according to a preferred embodiment of the present invention;
[0035] Figure 5 This is a model effect diagram of an organic-shaped furniture after the second slicing process according to a preferred embodiment of the present invention;
[0036] Figure 6 This is a disassembled diagram of the bottom of the organic-shaped furniture after the third slicing process in the preferred embodiment of the present invention;
[0037] Figure 7 is a disassembled diagram of the seat part of the organic-shaped furniture after the third slicing process in the preferred embodiment of the present invention;
[0038] Figure 8 is a disassembled diagram of the backrest portion of the organic-shaped furniture after the third slicing process in the preferred embodiment of the present invention;
[0039] Fig. 9 This is a disassembled diagram of the armrest portion of the organic-shaped furniture after the third slicing process according to the preferred embodiment of the present invention. DETAILED DESCRIPTION
[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0041] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.
[0042] like Figure 1 As shown, a method for making topologically optimized organic furniture comprises the following steps:
[0043] S1. Build a database for storing existing furniture appearance data, organize the database using target image contours and extract key features, and then convert the key features into organic furniture form sketch data;
[0044] S2. Use modeling software to establish an initial geometric model, and import the organic furniture form sketch data into the initial geometric model; determine the overall size and form of the initial geometric model based on indoor environmental parameters and design requirements, and perform mesh optimization of the basic form to generate mesh data;
[0045] S3. Set constraints to filter mesh data, and use topology optimization algorithm to gradually optimize the initial geometric model, remove redundant material structural units and form an organic form. Output a lightweight model based on the optimization results.
[0046] Furthermore, in step S3, the initial geometric model is optimized based on volume constraints using a bidirectional progressive structural optimization algorithm; wherein the mathematical model of the bidirectional progressive structural optimization algorithm is:
[0047]
[0048] xi=0,xi=1
[0049] Where C represents the average strain energy of the structure; F represents the structural load matrix; T represents the pseudo time of iteration during the optimization process; U represents the displacement matrix; V * Represents the target volume of the calculation; vi is the unit volume; xi represents the design variable, which can take the value of "0" or "1", "0" represents the required unit and "1" represents the real unit; V represents the structural volume after N iterations.
[0050] Furthermore, a bidirectional progressive structural optimization algorithm is used for continuous calculations, and then the initial geometric model is generated by iterative modification or addition of units; when the information display result of the initial geometric model is consistent with the parameters determined based on the indoor environmental parameters and design requirements or meets the convergence conditions, the structure of the current initial geometric model is bidirectionally optimized and the bidirectional progressive topology optimization calculation is completed.
[0051] S4, importing the lightweight model into the modeling software, and performing secondary optimization, adding connecting parts or functional modules, adding a base or supporting parts to the lightweight model, and generating an organic furniture model;
[0052] Furthermore, in step S4, the secondary optimization includes optimizing the volume, evolution rate, filter radius, maximum number of iteration steps, and interval steps of the lightweight model.
[0053] Furthermore, volume optimization refers to the ratio of the volume of the optimized model to the volume of the original lightweight model, and its optimization target range is set between 20% and 55%; the evolution rate represents the percentage of volume material deleted each time during the iterative optimization process, and its optimization range is set between 1.5% and 3%; the filter radius is set to 1.5 to 2 times the grid size.
[0054] S5. Use 3D printing equipment to select linear materials, powder materials or liquid materials to physically manufacture the organic morphology furniture model to obtain physical organic morphology furniture.
[0055] Further, such as Figure 2 As shown, the organic furniture has two different forms: one-piece and assembled. The one-piece organic furniture is made by following steps S1 to S5, and the assembled organic furniture needs to add the following steps between steps S4 and S5:
[0056] S41, digging out connection holes and grooves on the surface of the organic shaped furniture model by using Boolean operation;
[0057] S42, selecting a connecting piece that matches the connecting hole groove; wherein the connection method between the connecting piece and the connecting hole groove is one or more of mortise and tenon, screw hole, snap-fit, and latch structure.
[0058] S43, using slicing software, slicing the organic furniture model in step S41 to obtain component fragments, and printing the component fragments using the operation steps of step S5;
[0059] Furthermore, the slicing software can use Bambulab, Cura, PreForm or Chitubox to perform slicing according to the technical requirements of the 3D printing equipment and complete the support parameter settings.
[0060] S44. According to the structure of the organic morphological furniture, the component fragments are assembled, and the surface of the assembled organic morphological furniture is polished to obtain an assembled organic morphological furniture.
[0061] Furthermore, the physical manufacturing of the organic morphology furniture model can also be achieved through CNC processing equipment or laser cutting machines, wherein the metal parts of the organic morphology furniture can be realized by robot bending technology, and the wooden or composite material parts can be realized by cutting and forming processes.
[0062] The outer surface of organic furniture can be polished, painted or otherwise decoratively treated, and textures, colors or transparent materials can be added according to user needs.
[0063] Embodiment 1
[0064] Through the analysis of the bidirectional progressive topology optimization parametric leisure chair design case and the preliminary research on the hometown culture, Jiangmen was taken as the target, the architectural patterns or plant elements of Jiangmen city were extracted, the hometown cultural elements and parametric design cases were sorted out and summarized, the hometown elements were designed and diverged, and integrated into the leisure chair to produce a digital model. Then, the topological optimization algorithm of the modeling structure was calculated through the Grasshopper plug-in and Ameba tool in the Rhino modeling software, and the logical processing and optimized structure were generated. The leisure chair is more integrated into the Jiangmen region in terms of shape, and more lightweight and strong in terms of function. During this period, the structural optimization advantages of Ameba were used to perform high-quality meshing of the product model, visualize the model topology process, and optimize it later.
[0065] In terms of tools for topological parametric design practice, Grasshopper plug-in and Ameba tools in Rhino modeling software are mainly used to perform logical processing and construction optimization of modeling structures. The previous research on Ameba design-related processes has fully verified the structural design advantages of Ameba, which can not only perform high-quality meshing of product models in the early stage of design, but also visualize the intermediate process, and optimize the product after the later topology is completed.
[0066] In the practice of topological optimization design of leisure chair furniture based on Grasshopper technology and Ameba tools, the following design schemes were pre-set:
[0067] (1) Summary and analysis of preliminary research. Taking Jiangmen as an example, we analyze its location and surrounding environment, as well as the local cultural elements of Jiangmen. Finally, we extract the design scenarios, problem keywords and opportunity points.
[0068] (2) Extract the corresponding form. Based on the relevant elements of the overseas Chinese culture in the early stage, in the divergent thinking stage of design, the shape is extracted from the local architectural elements and the local unique natural elements to obtain the shape inspiration.
[0069] (3) Matching algorithm. After analyzing and extracting the selected architectural elements and the natural forms of the banyan tree, the model is simply initialized according to the characteristics of the two elements. Then, the Rhino model is used to model the basic human-computer relationship to obtain a digital basic model.
[0070] (4) Adjust the model topology parameters. The model is calculated through bidirectional progressive optimization, and then the load, support and non-design area settings are made for the product. The parameter design of the material to be landed in the later stage is selected and finally transmitted to the Ameba cloud platform for calculation.
[0071] (5) Modeling structure enhancement and appearance processing: After the product topology optimization is completed, the model is post-processed, the model is reconstructed and the four-sided mesh is re-topologically planned to obtain a high-quality mesh model.
[0072] (6) Complete the design of leisure chair furniture. Summarize the entire project process and provide a certain reference value for the construction of similar products in the future.
[0073] Pediment is the most western-style decorative part of the architecture of the hometown of overseas Chinese. It is located at the top of the building. The shape is often a dynamic "S" shape. The decoration is bold and varied, but it also retains the most basic mechanical and aesthetic principles. The shape is basically triangular, and the triangle is the most stable in mechanics. There are various pediment shapes, such as the most common isosceles triangle pediment, the dynamic bow pediment, the decorative scroll shape, and the scroll pediment. Taking the pediment as the starting point, the pediment elements of Jiangmen's characteristic architecture are extracted and applied to the design of the leisure chair.
[0074] After field investigations into the characteristics of the hometown's elements, based on the surveyed human-machine relationship and sitting ratio, the city chairs will be used as a carrier using the characteristics of parametric modeling and applied to the design, taking the outline of characteristic buildings as the entry point.
[0075] Setting the outdoor scene, according to the previous research, Ameba's design process is to perform topological calculations from a basic geometric model. The architecture of the hometown of overseas Chinese gives people a sense of stability and solidity. The pediment on the wall absorbs the influence of Western art and is unique and distinctive. Therefore, a flat oval appearance is set to meet the range of values of the seat surface that meets the ergonomic sitting posture, and then the subsequent calculations are optimized to generate an organic structure.
[0076] As the design sketches continued to deepen, it was determined that the organic morphological structure of the banyan tree was similar to the optimized form of Ameba, and the application of design principles was further determined. The design was based on the premise of conforming to human-machine and satisfying people's rest comfort and convenient cleaning needs.
[0077] Grasshopper is used to conceive the torsional force of the product model support, and the calculated form is deduced to maintain the organic form, save unnecessary materials, and ensure the basic function of the product. The watchtower is used as the main prototype, and the backrest is designed with an arch shape to make the seat give tourists a sense of stability and firmness. As the hub of the overseas Chinese culture and one of the important plant patterns, the banyan tree also expresses stability and support. It is designed at the bottom of the seat, breaking the dull modeling language of the watchtower and adding a vibrant tree branch shape to make the product more integrated into the city.
[0078] The material setting of the leisure chair made in this embodiment uses the official default ABS plastic, and then the calculation target volume is set to 23%, and then the evolution rate is set to 2%, the filter radius is 0.15mm, and the maximum iteration step is 300. Connect to the Solver battery to upload the file to the Ameba cloud platform for calculation, and finally use the Render Display battery to view the topology process.
[0079] Ameba is based on the principle of bidirectional progressive optimization. The product is updated and iterated from the original seat model based on stress distribution. There are 95 iteration steps in total, and 5 is used as the intermediate value to record the change process of model iteration. The parameters are set as 23% volume fraction as the target and 2% as the purification rate. The final maximum equivalent force is 2.845MPA, and the maximum displacement value of the entire product is 2.66mm, which is a high-strength and organic one-piece shape. The product effect picture is as follows Figure 3 shown.
[0080] Embodiment 2
[0081] The relevant parameters of the production method are consistent with those in Example 1. In step S43, three slicing methods are used for product practice: the first is to reduce the product model by 1:10 for integrated model proofing; the second is to reduce the product model by 0.55 times and disassemble it into 7 parts for printing and assembly; the third is to print the product model at 1:1, and according to the maximum limit of the printer parameters of 256*256*256mm, the model is divided into 35 parts for slicing, printing and assembly. The product disassembly effect diagram is shown in the figure. Figures 4 to 9 shown.
[0082] Prepare assembly and polishing materials and devices, including PLA consumables, 10mm and 20mm iron pins, furniture putty, hot melt glue, hot melt gun, hair dryer, various grit sandpapers, silver paint and varnish.
[0083] First, arrange all the printed models, then connect and assemble the base support, and fix them with iron pins, hot air guns, hot melt adhesive, hair dryers and silicone sealant; then assemble the armrests and seat; finally, assemble the backrest as a whole.
[0084] The present invention, when used, comprises the following steps:
[0085] Step 1
[0086] Digitally create the initial model: Import the basic design 3D model of the furniture, use modeling software (such as Rhino) to create an initial geometric model that meets functional requirements, and import it into the optimization software.
[0087] Step 2
[0088] Topology optimization settings and calculations: Set constraints in the optimization software (such as Ameba), including load-bearing positions, material properties, and fixed points. Run the topology optimization algorithm to obtain a preliminary optimized model and output a 3D model file for subsequent adjustments.
[0089] Step 3
[0090] Optimize shape adjustment: Import the topology optimized model into the modeling software, trim the detailed surfaces, eliminate sharp or irregular areas, and ensure the comprehensive effect of the furniture in terms of aesthetics, functionality and safety.
[0091] Step 4
[0092] Digital design of connectors: Design connectors (such as mortise and tenon joints or screw holes) based on furniture structural requirements. Generate connection holes and grooves on the model surface through Boolean operations to ensure precise assembly.
[0093] Step 5
[0094] Digitally design support structures: Generate support structures that meet stability requirements and perform topological optimization to reduce material consumption while improving the stability and aesthetics of the furniture.
[0095] Step 6
[0096] Fence area demarcation: Fence areas are demarcated on the furniture surface to determine the laying range of 3D printing resin and reduce subsequent surface polishing work. The height and thickness of the fence are set parametrically to facilitate subsequent disassembly.
[0097] Step 7
[0098] 3D printing: Export the optimized model file to .STL format and perform 3D printing. Choose the appropriate material (such as PLA, resin or nylon) to ensure the accuracy and strength of the printed part.
[0099] Step 8
[0100] Robotic processing and component manufacturing: The main structure of the furniture is processed by CNC equipment, and metal parts (such as supporting steel frames) are bent using robotic equipment. Automated operations ensure that the parts are consistent with the digital design.
[0101] Step 9
[0102] Component assembly and fixation: Assemble the 3D printed structure with the CNC machined components, and complete the connection and fixation of the components according to the design. Ensure that the assembled furniture meets the stability and functional requirements of the design.
[0103] Step 10
[0104] Surface treatment: The furniture surface is ground and polished, and painted or textured as required to ensure that the final product meets the design requirements for beauty and comfort.
[0105] Step 11
[0106] Fence removal and finished product inspection: Remove the fence boundary generated during the 3D printing process, clean up the residual material, and complete the final polishing and processing. Inspect the stability and aesthetics of the finished product to ensure that it meets the user's requirements.
[0107] The above is based on the ideal embodiment of the present invention. Through the above description, relevant personnel can make various changes and modifications without departing from the technical concept of the present invention. The technical scope of the present invention is not limited to the content in the specification, and the technical scope must be determined according to the scope of the claims.
Claims
1. A method for making topologically optimized organic furniture, characterized in that: The following steps are involved: S1, constructing a database for storing existing furniture appearance data, organizing the database using target image contours and extracting key features, and then converting the key features into organic furniture form sketch data; S2. Use modeling software to establish an initial geometric model, and import the organic furniture form sketch data into the initial geometric model; determine the overall size and form of the initial geometric model based on indoor environmental parameters and design requirements, and perform mesh optimization of the basic form to generate mesh data; S3, setting constraint conditions for screening the mesh data, and using a topology optimization algorithm to gradually optimize the initial geometric model, remove redundant material structural units and form an organic form, and output a lightweight model according to the optimization results; S4, importing the lightweight model into the modeling software, and performing secondary optimization, adding connecting parts or functional modules, adding a base or supporting parts to the lightweight model, and generating an organic morphology furniture model; S5. Use 3D printing equipment to select linear materials, powdered materials or liquid materials to physically manufacture the organic morphological furniture model to obtain physical organic morphological furniture.
2. The method for making topologically optimized organic furniture according to claim 1, characterized in that: The organic furniture has two different forms: one-piece and assembled. The one-piece organic furniture is made by following steps S1 to S5, while the assembled organic furniture needs to add the following steps between steps S4 and S5: S41, digging out connection holes and grooves on the surface of the organic morphological furniture model by using Boolean operation; S42, selecting a connecting piece that matches the connecting hole groove; wherein the connection method between the connecting piece and the connecting hole groove is one or more of mortise and tenon, screw hole, snap-fit, and latch structure. S43, using slicing software, slicing the organic furniture model in step S41 to obtain component fragments, and printing the component fragments using the operation steps of step S5; S44, assembling the component fragments according to the structure of the organic morphological furniture, and polishing the surface of the assembled organic morphological furniture to obtain assembled organic morphological furniture.
3. The method for making topologically optimized organic furniture according to claim 1, characterized in that: In step S3, the initial geometric model is optimized based on volume constraints using a bidirectional progressive structural optimization algorithm; wherein the mathematical model of the bidirectional progressive structural optimization algorithm is: xi=0,xi=1 Where C represents the average strain energy of the structure; F represents the structural load matrix; T represents the pseudo time of iteration during the optimization process; U represents the displacement matrix; V * Represents the target volume of the calculation; vi is the unit volume; xi represents the design variable, which can take the value of "0" or "1", "0" represents the required unit, and "1" represents the real unit; V represents the structure volume after N iterations.
4. A method for manufacturing topologically optimized organic morphological furniture according to any one of claims 1 or 3, characterized in that: The bidirectional progressive structural optimization algorithm is used to continuously calculate, and then the initial geometric model is generated by iteratively modifying or adding units; when the information display result of the initial geometric model is consistent with the parameters determined based on the indoor environment parameters and design requirements or meets the convergence conditions, the structural bidirectional topology optimization calculation of the current initial geometric model is completed.
5. The method for manufacturing topologically optimized organic morphological furniture according to claim 1, characterized in that: The physical manufacturing of the organic morphology furniture model can also be achieved through CNC processing equipment or laser cutting machines, wherein the metal parts of the organic morphology furniture can be realized by robot bending technology, and the wooden or composite material parts can be realized by cutting and forming processes.
6. The method for manufacturing topologically optimized organic morphological furniture according to claim 1, characterized in that: In step S4, the secondary optimization includes optimizing the volume, evolution rate, filtering radius, maximum number of iteration steps and interval steps of the lightweight model.
7. The method for making topologically optimized organic furniture according to claim 6, characterized in that: The volume optimization refers to the ratio of the volume of the optimized model to the volume of the original lightweight model, and the optimization target range is set between 20% and 55%; the evolution rate represents the percentage of volume material deleted each time during the iterative optimization process, and the optimization range is set between 1.5% and 3%; the filtering radius is set to 1.5 to 2 times the grid size.
8. The method for making topologically optimized organic furniture according to claim 1, characterized in that: The outer surface of the organic-shaped furniture can be polished, painted or otherwise decoratively treated, and can also be provided with textures, colors or transparent materials according to user requirements.
Citation Information
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