A polypropylene composite material production system and production method thereof

Abstract

The present invention relates to the technical field of composite material production, and discloses a polypropylene composite material production system and a production method thereof. The present invention obtains a preset characteristic distribution of a 3D printing target unit, divides the target unit into structures based on material requirements according to the characteristic distribution, obtains a material requirement characteristic distribution, performs composite material ratio analysis on each material requirement characteristic, obtains a corresponding composite material ratio set, performs multi-dimensional value evaluation on each ratio set, generates value evaluation parameters, performs overall composite material configuration analysis according to the evaluation parameters, determines the overall composite material configuration of the target unit, optimizes the material ratio according to the functional requirements of different parts to improve component performance, balances performance, cost and printability through multi-dimensional value evaluation, ensures material adaptability and production feasibility in the 3D printing process, reduces trial and error and waste, and solves the problem of cost increase caused by multiple substrates required for complex structures in the prior art.

Description

Technical Field

[0001] The invention relates to the technical field of composite material production, and in particular to a polypropylene composite material production system and a production method thereof. Background Art

[0002] With the development of 3D printing technology, its application areas have expanded from simple model making to high-precision and high-complexity industrial parts manufacturing. In the fields of aerospace, automobile, medical, construction, etc., 3D printing technology has been widely used to produce customized, high-performance composite parts.

[0003] Polypropylene composite materials have become a commonly used material in the field of 3D printing due to their good formability, chemical stability and low cost. However, the single performance of polypropylene limits its application in some high-requirement fields. The introduction of composite materials has greatly improved the material properties of 3D printing target units.

[0004] When the structural and functional designs of the 3D printing target unit present complex forms, different structural parts require the use of different types of composite materials, which leads to an increase in material production costs. Summary of the invention

[0005] The object of the present invention is to provide a polypropylene composite material production system and a production method thereof, aiming to solve the problem of cost increase caused by multiple substrates required for complex structures in the prior art.

[0006] The present invention is implemented in this way. In a first aspect, the present invention provides a polypropylene composite material production system for 3D printing, comprising: A feature analysis module, used to obtain a preset feature distribution of a 3D printing target unit, and perform structural division of the 3D printing target unit based on material requirements according to the preset feature distribution, so as to obtain a material requirement feature distribution of the 3D printing target unit; wherein the material requirement feature distribution includes a plurality of material requirement features, and the material requirement feature is used to describe the requirement of a certain structural part on the 3D printing target unit for printing materials; A ratio analysis module, used to perform composite material ratio analysis on each material requirement characteristic in the material requirement characteristic distribution, so as to obtain a composite material ratio set corresponding to each material requirement characteristic; wherein the composite material ratio set includes a plurality of composite material ratio schemes that meet the material requirement characteristics; A value assessment module, used to perform multi-dimensional value assessment on the composite material ratio sets corresponding to the material demand characteristics according to the material demand characteristic distribution, so as to obtain value assessment parameters of each composite material ratio scheme in each composite material ratio set; The configuration determination module is used to perform an overall composite material configuration analysis of the 3D printing target unit on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

[0007] In a second aspect, the present invention provides a method for producing a polypropylene composite material, which is applied to a polypropylene composite material production system described in the first aspect, comprising: Acquire a preset characteristic distribution of a 3D printing target unit, and perform structural division of the 3D printing target unit based on material requirements according to the preset characteristic distribution, so as to obtain a material requirement characteristic distribution of the 3D printing target unit; wherein the material requirement characteristic distribution includes a plurality of material requirement characteristics, and the material requirement characteristics are used to describe the requirements of a certain structural part of the 3D printing target unit for printing materials; Performing composite material ratio analysis on each material requirement characteristic in the material requirement characteristic distribution, so as to obtain a composite material ratio set corresponding to each material requirement characteristic; wherein the composite material ratio set includes several composite material ratio schemes that meet the material requirement characteristics; Performing a multi-dimensional value assessment on the composite material ratio sets corresponding to the respective material demand characteristics according to the material demand characteristic distribution, so as to obtain a value assessment parameter of each composite material ratio scheme in each composite material ratio set; An overall composite material configuration analysis of the 3D printing target unit is performed on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

[0008] The present invention provides a method for producing a polypropylene composite material, which has the following beneficial effects: The present invention obtains a preset characteristic distribution of a 3D printing target unit, divides the target unit into structures based on material requirements according to the characteristic distribution, obtains a material requirement characteristic distribution, performs composite material ratio analysis on each material requirement characteristic, obtains a corresponding composite material ratio set, performs a multi-dimensional value assessment on each ratio set, generates value assessment parameters, performs an overall composite material configuration analysis according to the assessment parameters, determines the overall composite material configuration of the target unit, optimizes the material ratio according to the functional requirements of different parts, improves component performance, balances performance, cost and printability through multi-dimensional value assessment, ensures material adaptability and production feasibility in the 3D printing process, reduces trial and error and waste, and solves the problem of cost increases caused by multiple substrates required for complex structures in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a schematic diagram of the steps of a method for producing a polypropylene composite material provided by an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a polypropylene composite material production system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0010] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0011] The implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0012] Reference Figure 1 , Figure 2 As shown, a preferred embodiment of the present invention is provided.

[0013] In a first aspect, the present invention provides a method for producing a polypropylene composite material, comprising: S1: obtaining a preset characteristic distribution of a 3D printing target unit, and performing structural division of the 3D printing target unit based on material requirements according to the preset characteristic distribution, so as to obtain a material requirement characteristic distribution of the 3D printing target unit; wherein the material requirement characteristic distribution includes a plurality of material requirement characteristics, and the material requirement characteristics are used to describe the requirements of a certain structural part of the 3D printing target unit for printing materials; S2: performing composite material ratio analysis on each material requirement characteristic in the material requirement characteristic distribution to obtain a composite material ratio set corresponding to each material requirement characteristic; wherein the composite material ratio set includes a plurality of composite material ratio schemes that meet the material requirement characteristics; S3: performing a multi-dimensional value assessment on the composite material ratio sets corresponding to the respective material requirement characteristics according to the material requirement characteristic distribution, so as to obtain a value assessment parameter of each composite material ratio scheme in each composite material ratio set; S4: performing an overall composite material configuration analysis of the 3D printing target unit on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

[0014] Specifically, in step S1 of the embodiment provided by the present invention, a preset characteristic distribution of a 3D printing target unit is obtained, and the 3D printing target unit is structurally divided based on material requirements according to the preset characteristic distribution to obtain a material requirement characteristic distribution of the 3D printing target unit.

[0015] More specifically, the 3D printing target unit is a target unit prepared to be manufactured using 3D printing technology. The preset characteristic distribution of the 3D printing target unit is a characteristic design for each specific position of the 3D printing target unit, that is, what kind of performance each specific position of the 3D printing target unit should exhibit in the pre-planning. Based on this pre-planning, the requirements of each specific position of the 3D printing target unit for the materials used for 3D printing, that is, the material demand characteristics, can be inferred.

[0016] More specifically, when a 3D printing target unit has a more complex structure, the requirements for color, structural shape, physical quantity, etc. of each part are different, and the requirements of different positions together constitute the material requirement characteristic distribution of the 3D printing target unit.

[0017] Specifically, in step S2 of the embodiment provided by the present invention, the ratio analysis of the composite materials is performed on each material requirement feature in the material requirement feature distribution to obtain a composite material ratio set corresponding to each material requirement feature.

[0018] More specifically, polypropylene composite material is a high-performance material composed of polypropylene and other materials (such as minerals, fibers, fillers or reinforcing materials). By combining polypropylene with other reinforcing substances, the physical and chemical properties of polypropylene can be improved, making it superior to pure polypropylene in some properties.

[0019] It can be seen that for the material demand characteristic distribution of 3D printing target units, polypropylene composite materials can better meet the demand.

[0020] Furthermore, the raw materials adopted in the technical solution of the present invention are a variety of polypropylene composite materials. The various polypropylene composite materials are used as basic materials for re-compounding operations to obtain different structural parts constituting the 3D printing target unit. In this way, the various structural parts of the 3D printing target unit have more excellent performance.

[0021] It should be noted that the material requirements of various structural parts of the 3D printing target unit are different. That is to say, a structural part can adopt a variety of different basic material composite methods to meet the requirements. Each basic material composite method constitutes a composite material ratio scheme. Each composite material ratio scheme constitutes a composite material ratio set of the structural part. Which composite material ratio scheme in the composite material ratio set to use requires a more detailed and in-depth value analysis to judge.

[0022] Specifically, in step S3 of the embodiment provided by the present invention, a multi-dimensional value assessment is performed on the composite material ratio sets corresponding to each material requirement feature according to the material requirement feature distribution to obtain value assessment parameters of each composite material ratio scheme in each composite material ratio set.

[0023] More specifically, the material requirement characteristic distribution divides the overall demand of the 3D printing target unit into several continuous structural parts, and gives the material requirement characteristics corresponding to each structural part. It can be seen that the composite materials required for each structural part have consistent requirements, that is, the same composite material ratio scheme can be used to prepare this structural part.

[0024] It can be understood that since each structural part corresponds to several composite material ratio schemes, and each composite material ratio scheme is composed of the types and proportions of multiple substrates, in this case, the substrates can be matched and identified for the several composite material ratio schemes corresponding to each structural part to determine which composite material ratio scheme to use for each structural part, so that each structural part can maximize the use of the same various substrates to realize the composite material ratio scheme of each structural part.

[0025] Furthermore, when determining which composite material ratio scheme to use for each structural part, the volume proportion of each structural part needs to be considered. For structural parts with a large volume proportion, the commonality of the base material in the composite material ratio scheme is more important.

[0026] In addition, it is necessary to make value references to the manufacturing cost, composite efficiency and other aspects of the substrate in various composite material ratio schemes to achieve multi-dimensional value evaluation and obtain the value evaluation parameters of each composite material ratio scheme in each composite material ratio set.

[0027] Specifically, in step S4 of the embodiment provided by the present invention, the overall composite material configuration of the 3D printing target unit is analyzed on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

[0028] More specifically, based on the value assessment parameters of various composite material ratio schemes for various structural parts of the 3D printing target unit, the composite material ratio scheme to be finally executed for each structural part is analyzed and determined, and the types of substrates used in each structural part and the proportion of each type of substrate are obtained, thereby obtaining an overall composite material configuration. The overall composite material configuration includes the types of substrates corresponding to the composite materials used in various structural parts of the 3D printing target unit and their respective proportions, so that the substrates used in various structural parts can be interchangeable to the greatest extent, that is, only fewer types of substrates need to be produced, and the composite materials of each structural part can be obtained by compounding the substrates, thereby achieving maximum control over the generation and manufacturing costs.

[0029] The present invention provides a method for producing a polypropylene composite material, which has the following beneficial effects: The present invention obtains a preset characteristic distribution of a 3D printing target unit, divides the target unit into structures based on material requirements according to the characteristic distribution, obtains a material requirement characteristic distribution, performs composite material ratio analysis on each material requirement characteristic, obtains a corresponding composite material ratio set, performs a multi-dimensional value assessment on each ratio set, generates value assessment parameters, performs an overall composite material configuration analysis according to the assessment parameters, determines the overall composite material configuration of the target unit, optimizes the material ratio according to the functional requirements of different parts, improves component performance, balances performance, cost and printability through multi-dimensional value assessment, ensures material adaptability and production feasibility in the 3D printing process, reduces trial and error and waste, and solves the problem of cost increases caused by multiple substrates required for complex structures in the prior art.

[0030] Preferably, the step of obtaining the preset characteristic distribution of the 3D printing target unit includes: S11: performing target planning on the 3D printing target unit to obtain an initial design map of the 3D printing target unit; wherein the initial design map includes a structural appearance level and a structural physical quantity level; S12: analyzing the support stability and printing stability of the structural appearance level according to the structural physical quantity level in the initial design atlas to obtain a design evaluation result of the initial design atlas; S13: providing feedback suggestions to the initial design map according to the design evaluation result, so that the designer can adaptively adjust the initial design map according to the feedback suggestions to obtain a structural shape design and a structural physical quantity design, wherein the structural shape design and the structural physical quantity design together constitute a preset characteristic distribution of the 3D printing target unit.

[0031] Specifically, target planning is first carried out to determine the basic design requirements of the 3D printing target unit. These requirements include the shape of the component, functional requirements, mechanical loads, usage environment, etc. Based on the target planning, an initial design map is generated. The design map usually contains two main levels: the structural shape level and the structural physical quantity level.

[0032] More specifically, the structural appearance level involves the geometric shape and size of the target component, including the outer contour, the spatial position of each component, the connection method, etc. The structural physical quantity level involves the distribution of physical properties of the target component, such as the material's strength, stiffness, temperature resistance, thermal expansion coefficient, density, etc.

[0033] More specifically, the initial design map provides a clear framework for the design of the target unit. By dividing the appearance and physical properties into two levels, the design requirements and parameters of each component can be grasped in more detail.

[0034] More specifically, a support stability analysis is performed on each part in the structural shape hierarchy. The goal of this step is to evaluate whether each part can remain stable through appropriate support structures during the 3D printing process to prevent deformation, misalignment and other problems during printing. The analysis includes overhangs that are too large or too small, parts that require support, possible stress concentration, etc.

[0035] More specifically, the stability of the structural shape during the printing process is further analyzed. Since 3D printing is usually printed layer by layer, the analysis focuses on aspects such as material accumulation, melting process, thermal deformation, and stress release. The possible warping, shrinkage, or deformation during the printing process is evaluated to ensure that the design can be successfully completed during the actual printing process.

[0036] More specifically, through support stability and printing stability analysis, potential problems in the design can be identified in advance and resolved in the design stage, which can avoid structural deformation or printing failure during the printing process and improve the printing success rate. This analysis helps designers optimize the shape and internal structure design of the target unit to reduce the use of support structures, reduce material consumption and improve printing efficiency.

[0037] More specifically, based on the results of the support stability and printing stability analysis, the initial design drawings are evaluated. The evaluation content includes: whether the structural shape is reasonable, whether it can effectively support the entire component, whether the printing stability meets the requirements, whether large-scale deformation, warping and other problems will occur, whether the physical property distribution is reasonable, and whether it meets the target application requirements.

[0038] More specifically, based on the evaluation results, feedback suggestions are generated to point out problems in the design and propose improvement plans. The feedback suggestions usually include: modification suggestions at the structural shape level, such as adding support points, optimizing geometric shapes, adjusting connection methods, etc., and adjustment suggestions at the physical quantity level, such as changing material selection, optimizing thickness distribution, and enhancing the strength of key areas.

[0039] More specifically, design evaluation and feedback suggestions ensure that designers can make targeted adjustments to the initial design drawings based on actual analysis results, optimize the design to adapt to the printing process and actual usage needs. Through the evaluation and feedback cycle, designers can obtain systematic optimization solutions in a short period of time, avoid multiple trials and waste of materials, and improve design efficiency.

[0040] More specifically, based on feedback, designers make adaptive adjustments to the initial design drawings. This process includes optimization of the structural appearance (such as changing the shape, adding supports, adjusting the size, etc.) and optimization of the physical quantity design (such as adjusting the material ratio, changing the wall thickness, etc.). Through adjustments, it is ensured that the design can be smoothly implemented during the printing process and meet the expected performance requirements. After adjustments, the structural appearance design and the structural physical quantity design are obtained, which together constitute the preset characteristic distribution of the 3D printing target unit.

[0041] More specifically, through adaptive adjustment, the design can perfectly adapt to the printing requirements, ensuring that the performance and quality of the final product meet the design goals. The final design map not only meets the stability requirements of printing, but also ensures that the physical properties of the target parts meet the expected goals, ensuring the functionality and quality of the parts.

[0042] Preferably, the step of performing structural division of the 3D printing target unit based on material requirements according to the preset characteristic distribution to obtain the material requirement characteristic distribution of the 3D printing target unit includes: S14: performing a range analysis of material requirements for each specific location of the 3D printing target unit according to the preset characteristic distribution, so as to obtain a range of material property requirements for each specific location of the 3D printing target unit; S15: extracting the consistency features of adjacent regions of the material property requirement range of each specific position of the 3D printing target unit, so as to reduce the material property requirement range of each specific position of the 3D printing target unit, so as to obtain a preliminary selection range of each specific position of the 3D printing target unit; S16: Structurally dividing the preliminary selection range of each specific position of the 3D printing target unit according to a preset structural division standard to obtain a plurality of structural parts corresponding to the 3D printing target unit; S17: Analyzing the similarity of material properties of the preliminary selection ranges corresponding to the various structural parts, so as to further narrow the preliminary selection ranges corresponding to the various structural parts, so as to determine the material requirement characteristics of the various structural parts; S18: The material requirement characteristics of each of the structural parts together constitute the material requirement characteristic distribution of the 3D printing target unit.

[0043] Specifically, based on the preset characteristic distribution that has been obtained, the material requirements of the 3D printing target unit at each specific position (i.e., each area of ​​the component) are analyzed, including the physical properties required in different areas (such as strength, stiffness, toughness, temperature resistance, etc.), and a material requirement range is specified for each area according to the needs of the target application. For example, some parts require high strength and high stiffness, while other parts may only require lower strength but higher toughness or lightweight materials.

[0044] More specifically, by analyzing the preset characteristic distribution of the target unit, the specific material characteristics required for each area can be clarified, providing a basis for subsequent material selection and structural division.

[0045] More specifically, each region (location) of the target unit is analyzed to extract the consistency characteristics of the material property requirements of adjacent regions. For example, multiple adjacent regions may require similar material properties (such as the same strength or toughness requirements), and these regions can be grouped together.

[0046] More specifically, by extracting the consistent features of adjacent regions, reducing the range of material requirements for each region, and reducing redundant material property requirements, the material requirements for each region can be more focused and streamlined. This can avoid using too many types of materials in unnecessary areas. For example, some parts may use the same type of material because the adjacent parts have similar requirements, thereby simplifying material selection.

[0047] More specifically, by extracting and reducing the scope of consistent features, the types and distribution of materials can be reduced, the material utilization efficiency can be improved, and the subsequent material selection and design process can be simplified. The reduced material requirement range is more accurate and specific, helping designers to select appropriate materials more efficiently.

[0048] More specifically, according to preset standards, the preliminary selection range of each area of ​​the target unit is structurally divided. The structural division standards may be determined according to factors such as the function of the component, material requirements, mechanical properties, thermal properties, etc. For example, considering the printing difficulty and material properties, the component can be divided into several structural parts, and the material requirement characteristics of each part are consistent.

[0049] More specifically, according to the division criteria, the target unit is divided into several structural parts (for example, supporting structure, functional structure, external decorative structure, etc.), and each structural part corresponds to a set of material demand characteristics.

[0050] More specifically, structural division can make the design more modular. Each module has relatively independent material requirement characteristics, which is convenient for subsequent design, printing and material selection. The results of structural division can help designers understand more clearly the function of each part and its specific requirements for materials, thereby optimizing the design and material configuration.

[0051] More specifically, in each structural part, the similarity of the material properties of the prepared selection range corresponding to each part is further analyzed. For example, some areas may have similar physical property requirements such as strength, hardness, and toughness, and the same or similar materials can be selected. By analyzing the similarities, the material selection range of each structural part can be further narrowed. For example, areas with similar requirements can be merged or the same material can be uniformly selected. This helps to reduce material procurement and processing costs and improve material utilization.

[0052] More specifically, material requirement similarity analysis can further optimize material selection and avoid using unnecessary materials in different areas, thereby reducing costs and improving printing efficiency. By optimizing material matching, the overall performance of structural components can be improved. For example, using the same material in areas with similar material requirements can ensure consistency and stability of structural performance.

[0053] More specifically, after completing the above steps, the material requirement characteristics of each structural part are combined to finally form the material requirement characteristic distribution of the entire 3D printing target unit. This distribution describes in detail the type, physical properties and distribution position of the materials required for each structural part during the printing process.

[0054] More specifically, the final material requirement characteristic distribution can help optimize material selection in the 3D printing process, avoid waste and maximize material utilization efficiency. Through reasonable material requirement distribution, the material cost of 3D printing can be reduced, while ensuring that the performance of each part meets the design requirements and improving product quality.

[0055] Preferably, the step of respectively performing composite material ratio analysis on each material requirement feature in the material requirement feature distribution to obtain a composite material ratio set corresponding to each material requirement feature comprises: S21: taking each material demand feature in the material demand feature distribution as a composite proportioning object, and performing selection and mixing simulation of multiple basic materials on each composite proportioning object to obtain a plurality of composite material proportioning schemes of the composite proportioning object; wherein the composite material proportioning scheme includes the type and proportion of the basic materials; S22: combining various composite material ratio schemes corresponding to the material requirement characteristics to obtain a composite material ratio set of the material requirement characteristics.

[0056] Specifically, each material requirement feature in the material requirement feature distribution is regarded as an independent composite matching object, and each object represents the material requirement characteristics of a specific area or structural part, such as strength, stiffness, temperature resistance, toughness, etc.

[0057] More specifically, these demand characteristics may have an impact on the material selection, proportions and performance requirements, so the goal of composite ratio analysis is to meet these demand characteristics through suitable basic materials.

[0058] More specifically, for each composite ratio object, several available basic materials are selected according to the required material properties (such as strength, stiffness, high temperature resistance, etc.). The substrate material itself is also a polypropylene composite material. Each basic material has different physical, chemical and mechanical properties. By re-compounding multiple polypropylene composite materials, it can have properties that are more in line with the required material characteristics.

[0059] More specifically, computational methods (such as finite element analysis, hybrid models, etc.) are used to perform hybrid simulations on the selected base materials and analyze the comprehensive performance of different materials at different ratios. This can be achieved through experimental data, theoretical models or computer simulation tools to simulate the performance of composite materials at different ratios. Based on the simulation results, a series of composite material ratio schemes are generated, each of which includes the type of base material and its proportion in the composite material.

[0060] More specifically, through simulation and calculation, we can find the composite material ratio that best matches the required characteristics of each material, ensuring that the needs of each area or structural part are met. By simulating the ratios of different base materials, we can foresee the performance of composite materials without actual production, thereby optimizing the design.

[0061] More specifically, for each material requirement feature, combined with its corresponding composite ratio scheme, a composite material ratio set of the feature is obtained. These ratio sets reflect the multiple possible material combinations for each area, and the most suitable ratio scheme can be selected according to specific needs. For example, if a certain area requires higher strength and another area requires better toughness, they may choose different composite material ratio schemes. By combining these ratio schemes, it can be ensured that the performance requirements of the entire 3D printing target unit can be met.

[0062] More specifically, by combining multiple composite ratio schemes, a comprehensive composite material ratio set is finally obtained, which can meet the different material requirements of the entire target unit. Each composite material ratio scheme is tailored according to the specific material demand characteristics to ensure that the performance requirements of each area can be accurately achieved.

[0063] More specifically, after the completion of the aforementioned steps, all composite material ratio schemes are summarized to form a composite material ratio set with material demand characteristics. This set reflects the composite material selection schemes for each structural part and region of the entire 3D printing target unit. The composite material ratio scheme for each region not only considers a single physical property, but also comprehensively considers multi-dimensional requirements such as mechanical properties and thermal properties.

[0064] More specifically, a clear set of composite material ratios can provide a clear material selection guide for the subsequent 3D printing process, avoiding performance problems caused by inappropriate materials. The composite material ratio scheme can optimize its performance according to the needs of different regions, so that the final 3D printed product can achieve the best balance in performance in all aspects (such as strength, weight, durability, etc.). Through precise ratios, it is possible to reduce unnecessary material waste while meeting performance requirements, thereby saving costs.

[0065] Preferably, the step of selecting and mixing multiple base materials for each composite ratio object to obtain a plurality of composite material ratio schemes of the composite ratio object comprises: S211: performing data matching on the composite ratio object according to a preset composite material property database to obtain a plurality of preset composite materials that match the composite ratio object; S212: Analyzing the base material composition of the plurality of the preset composite materials respectively, so as to obtain the proportion base material types of the various preset composite materials; S213: adjusting the ratio of the substrate to the preset composite material according to the type of the ratio substrate, so as to obtain the upper and lower limits of the ratio of each type of substrate corresponding to the type of the ratio substrate for preparing the preset composite material, and generating the ratio weight of the substrate according to the upper and lower limits of the ratio of the substrate; S214: Integrate the proportion weights of various types of substrates corresponding to the proportion substrate types to obtain a composite material proportioning scheme of the preset composite material, wherein the composite material proportioning schemes of the preset composite material together constitute a plurality of composite material proportioning schemes of the composite proportioning object.

[0066] Specifically, a database containing the properties of various composite materials is established. The data in the database may include the physical, chemical, mechanical, thermal and other properties of each composite material, and may also include the manufacturing process parameters of the material (such as temperature, pressure, etc.).

[0067] More specifically, according to the specific demand characteristics of the composite ratio object (such as strength, stiffness, temperature resistance, etc.), a matching algorithm (such as similarity calculation or optimization algorithm) is used to select several preset composite materials that best match it from the database. The "match" here means that these composite materials can meet specific material demand characteristics.

[0068] More specifically, by matching the database with the required characteristics, suitable composite materials can be efficiently screened out without the need for tedious manual selection or experiments, saving time and costs. The use of systematic data matching ensures that the selected materials can accurately meet the design requirements, thereby improving the accuracy of the selection.

[0069] More specifically, for the selected preset composite materials, it is necessary to analyze their substrate composition, understand the components of each composite material in detail, and determine the proportion of each type of substrate in the composite material in order to discover the potential advantages and disadvantages of the composite material and ensure that the selected preset composite material can meet the expected mechanical properties, durability and other requirements.

[0070] More specifically, for each preset composite material, the adjustment space of the proportion of each substrate in the composite material is analyzed according to its substrate composition, which means determining the upper and lower limits of the proportion of each substrate (such as the minimum and maximum value of a certain substrate proportion).

[0071] More specifically, the upper and lower limits of the proportions can be determined in the following ways: theoretical calculation: based on the characteristics of the material, such as physical and mechanical properties, calculate the impact of a certain substrate ratio on the overall performance, and thus deduce a reasonable proportion range; experimental data: obtain the optimal ratio range of each substrate through experimental data; process constraints: considering the process limitations in the manufacturing process (such as material compatibility, temperature sensitivity, etc.), set reasonable upper and lower limits for each substrate.

[0072] More specifically, by determining the upper and lower limits of the substrate proportion, inappropriate ratios (such as too high a proportion of a substrate causing performance degradation or too low a proportion causing instability) can be avoided, thereby ensuring the stability and reliability of the composite material.

[0073] More specifically, a proportion weight is generated based on the upper and lower limits of the proportion of each substrate. The proportion weight can reflect the relative importance of each substrate in the composite material. The weight calculation can be based on the following factors: Material properties: If a certain substrate contributes more to the performance of the composite material (for example, affecting strength or temperature resistance), its proportion weight is higher. Cost factors: Some high-cost materials may need to appropriately reduce their proportion weights to control manufacturing costs. Process limitations: If a certain substrate is difficult to control during the manufacturing process (such as high-temperature treated ceramic materials), its proportion weight may be appropriately reduced.

[0074] More specifically, the comprehensive performance of composite materials can be optimized through reasonable weight distribution. For example, the balance between strength and toughness can be ensured, or the trade-off between cost and material performance can be controlled. The weight provides an adjustable parameter for subsequent material design and adjustment, which is convenient for flexible adjustment according to actual needs in production.

[0075] More specifically, the proportion weights of each substrate are integrated to eventually generate a composite material proportion scheme for each preset composite material. Each scheme can show the specific proportion of each substrate and how they work together to meet the design requirements. By adjusting the proportion weights, multiple composite material proportion schemes can be generated, each of which is optimized for different design requirements (such as improving strength, reducing costs or optimizing heat resistance).

[0076] More specifically, generating multiple composite material ratio schemes provides designers with more options, making it easier to make the best choice based on actual application needs (such as performance requirements, manufacturing costs, etc.). By integrating weights and generating optimized ratio schemes, the final composite material can achieve the best balance in mechanical properties, thermal properties, durability and other aspects, meeting the multi-dimensional needs of the product.

[0077] Preferably, the step of performing multi-dimensional value evaluation on the composite material ratio sets corresponding to the respective material requirement characteristics according to the material requirement characteristic distribution to obtain value evaluation parameters of each composite material ratio scheme in each composite material ratio set comprises: S31: identifying the commonality of base materials for each composite material ratio set corresponding to each material requirement feature, so as to obtain occurrence records of each base material used in each composite material ratio set; S32: allocating a weight of each occurrence record of each base material to a 3D printing target unit according to the material demand characteristic distribution, so as to obtain a common weight of each base material; S33: Evaluate the composite value of each composite material ratio scheme according to the commonality weight and ratio weight of each base material to obtain the value evaluation parameters of each composite material ratio scheme.

[0078] Specifically, according to the required characteristics of the composite material (such as strength, hardness, thermal stability, etc.), different composite material ratio sets are selected, and these ratio sets contain different substrate combinations. For each composite material ratio scheme, the substrate used is identified. In this step, the main task is to find out the types of substrates that appear in each composite material ratio scheme and their distribution in the scheme, and record and classify them. For example, if certain substrates appear in multiple ratio schemes, then these substrates have a higher commonality. Substrates with high commonality usually have wider applicability and stability.

[0079] More specifically, through commonality identification, we can efficiently find substrates that are repeatedly used in multiple composite material ratios. These substrates have better overall performance or are more suitable for specific applications such as 3D printing. By identifying commonly used substrates, we can ensure that the selected substrate combination has a certain stability and avoid over-reliance on a few special substrates. This helps to improve the application breadth and reliability of composite materials.

[0080] More specifically, the occurrence records of substrates are weighted according to the importance distribution of different material demand characteristics (such as strength, stiffness, thermal conductivity, temperature resistance, etc.) in the target application. For example, in 3D printing applications, certain substrates may receive higher weights due to their rapid prototyping characteristics, while in load-bearing structure applications, certain substrates may receive higher weights due to their greater strength contribution.

[0081] More specifically, a weight is assigned to each substrate based on its frequency of occurrence in each composite material ratio scheme and its contribution to the material performance. The following factors can be considered in the weight allocation: Frequency: substrates with high frequency of occurrence may represent that they have higher commonality and stability, and thus can be assigned higher weights, Performance impact: If a substrate contributes more to the key performance of the composite material (such as strength or heat resistance), then the substrate should also be given a higher weight, 3D printing target unit share: In particular, in 3D printing applications, considering the unique process requirements of 3D printing (such as material melt fluidity, precision requirements, etc.), the weight of the substrate is adjusted accordingly to ensure that the selected substrate can meet the needs of the 3D printing process.

[0082] More specifically, by reasonably allocating the weight of the base material, it can be ensured that the selected composite material ratio scheme better meets the target demand characteristics, thereby improving the overall material performance. Especially in 3D printing applications, considering the special requirements of the printing process for materials, the process adaptability of the material combination can be better adjusted, thereby improving printing efficiency and molding quality.

[0083] More specifically, the commonality weight of the substrate and the proportion weight of each substrate in the composite material proportioning scheme are combined to perform a composite value assessment. The goal of the composite value assessment is to comprehensively derive the overall value of each proportioning scheme based on the role of each substrate in the material combination, the priority of the demand characteristic distribution, and the requirements of specific applications such as 3D printing.

[0084] More specifically, substrates with higher commonality weights have greater value impacts because they may represent wider adaptability, and the proportion weights reflect the actual role of different substrates in the performance of composite materials. Substrates with larger proportion weights usually contribute more to the performance of composite materials. Combining the two, the composite value assessment parameters of each composite proportion scheme can be calculated.

[0085] More specifically, by integrating commonality weights and proportion weights, a comprehensive value assessment can be conducted on each composite material proportion scheme. The assessment results can reveal which proportion scheme can maximize the advantages of the substrate while meeting performance requirements. The composite value assessment parameters can help designers select the most promising scheme from multiple composite material proportion schemes, providing strong support for subsequent material selection and production decisions.

[0086] More specifically, according to the above evaluation method, the value evaluation parameters of each composite material ratio scheme are finally calculated. This parameter usually includes: comprehensive performance score, process adaptability score, cost-effectiveness score, etc. Based on the value evaluation parameters, different composite material ratio schemes can be ranked to facilitate the selection of the optimal ratio scheme. Different value evaluation parameters can provide multi-dimensional information for the selection of composite materials. For example, if process adaptability and cost-effectiveness are most critical for a certain application, the evaluation results of these two parameters can be focused on.

[0087] More specifically, by outputting multi-dimensional value assessment parameters, it is possible to comprehensively consider the performance of the composite material ratio scheme in multiple aspects, such as performance, process adaptability, cost, etc., to help make the most reasonable choice. The value assessment parameters of the composite material ratio scheme can effectively guide designers to make the best choice among different material schemes, reduce production risks, improve production efficiency and reduce costs.

[0088] Preferably, the step of performing an overall composite material configuration analysis of a 3D printing target unit on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit comprises: S41: performing trial selection of composite material ratio schemes for various structural parts of the material demand characteristic distribution according to the value assessment parameters, so as to obtain an overall trial configuration corresponding to the material demand characteristic distribution; wherein the overall trial configuration includes composite material ratio schemes for various structural parts of the 3D printing target unit; S42: Analyzing the commonality of the substrates of the overall trial configuration to obtain common characteristics of the substrates of the composite material ratio schemes in the overall trial configuration; S43: judging the common characteristics of the substrates according to preset standards, and if the judgment result shows that the common characteristics of the substrates do not meet the preset standards, adjusting and replacing the various composite material ratio schemes in the overall trial configuration in different forms according to the common characteristics of the substrates to obtain a plurality of retest configurations, and analyzing the common characteristics of the substrates of each of the retest configurations according to the preset standards until a retest configuration that meets the preset standards is obtained; S44: converting the retest configurations whose common characteristics of the substrates meet the preset standards to obtain the composite material ratio scheme.

[0089] Specifically, according to the functional requirements of different structural parts of the 3D printing target unit, the specific requirements of each part for material properties are analyzed, such as strength, stiffness, thermal conductivity, corrosion resistance, etc. Each structural part has different material demand characteristics.

[0090] More specifically, based on the value assessment parameters in the previous step, the composite material ratio scheme corresponding to each structural part is selected. The selection is based on whether the ratio scheme can provide the best performance and process adaptability while meeting the material requirements. The initial trial selection is made by evaluating the ratio schemes and weights of each composite material.

[0091] More specifically, through analysis based on value assessment parameters, we ensure that the material selection for each structural part can accurately meet its specific functional requirements. Through preliminary trial configurations, we can quickly identify which composite material ratio schemes have a good match between multiple structural parts, saving time for further adjustments.

[0092] More specifically, in the overall trial configuration, the substrate combination in the composite material ratio scheme of each structural part is analyzed to identify the common characteristics of the substrate. Substrate commonality refers to the same or similar substrate components in multiple parts. If multiple structural parts use the same substrate combination, it means that the substrate has a high commonality in the overall configuration.

[0093] More specifically, if certain substrates appear more frequently in multiple locations, it means that the substrate has better applicability; however, if there are limitations on the use of certain substrates, or if certain substrate combinations differ too much between different locations, it may lead to inconsistent performance or process problems.

[0094] More specifically, by identifying the commonality of substrates, certain substrate combinations that are not suitable for use in multiple locations can be effectively avoided, thereby improving the consistency and manufacturability of the overall design. Through commonality analysis, process bottlenecks or performance inconsistencies that may be caused by the use of certain substrates can be discovered in advance, which helps with subsequent adjustments.

[0095] More specifically, the common characteristics of the base materials of each composite material ratio scheme in the overall trial configuration are evaluated according to preset standards. These standards may include: the process adaptability of the material (for example, whether it meets the characteristic requirements of 3D printing), the mechanical properties of the material (such as strength, stiffness, etc.), cost control requirements, and environmental adaptability (such as high temperature resistance, corrosion resistance, etc.) More specifically, if the evaluation results show that the common characteristics of the substrates of certain composite material ratio schemes do not meet the preset standards, these schemes need to be adjusted or replaced. The adjustment methods may include: replacing certain inappropriate substrates, re-adjusting the composite material ratios of various parts, and optimizing the selection of substrates to make them more in line with the requirements of 3D printing. More specifically, based on the adjusted plan, a new retest configuration is generated, and the common characteristics of the substrate are re-analyzed until the preset standards are met. By judging and adjusting the common characteristics of the substrate, the consistency of the overall configuration scheme among multiple structural parts can be ensured to meet the preset performance, process and cost requirements. Substrates that do not meet the standards are adjusted and replaced so that the overall configuration of the composite material can meet higher process adaptability and performance requirements, thereby improving the flexibility and feasibility of the design.

[0096] More specifically, when the commonality of the base materials of the re-test configurations meets the preset standards, these configurations need to be further processed in order to finally determine the composite material ratio scheme. This process includes: converting the ratio scheme of each part of the trial configuration into an actual material formula, optimizing the production process and 3D printing parameters of the materials of each part to ensure that it can be smoothly implemented in actual production, and conducting a final evaluation of factors such as the material supply chain, cost, and batch production. After the conversion process, the final composite material ratio scheme is confirmed to ensure that these schemes can meet the functional requirements and manufacturing feasibility requirements of the target unit.

[0097] More specifically, through the conversion process, the final composite material ratio scheme can be accurately applied to the production of the 3D printing target unit to ensure the consistency between the design and the actual production. During the conversion process, various factors in actual production (such as material supply, printing accuracy, cost, etc.) are taken into consideration. The final scheme can better meet production requirements and reduce manufacturing difficulty.

[0098] Reference Figure 2 As shown, in a second aspect, the present invention provides a polypropylene composite material production system for 3D printing, which is used to implement a polypropylene composite material production method described in any one of the first aspects, comprising: A feature analysis module, used to obtain a preset feature distribution of a 3D printing target unit, and perform structural division of the 3D printing target unit based on material requirements according to the preset feature distribution, so as to obtain a material requirement feature distribution of the 3D printing target unit; wherein the material requirement feature distribution includes a plurality of material requirement features, and the material requirement feature is used to describe the requirement of a certain structural part on the 3D printing target unit for printing materials; A ratio analysis module, used to perform composite material ratio analysis on each material requirement characteristic in the material requirement characteristic distribution, so as to obtain a composite material ratio set corresponding to each material requirement characteristic; wherein the composite material ratio set includes a plurality of composite material ratio schemes that meet the material requirement characteristics; A value assessment module, used to perform multi-dimensional value assessment on the composite material ratio sets corresponding to the material demand characteristics according to the material demand characteristic distribution, so as to obtain value assessment parameters of each composite material ratio scheme in each composite material ratio set; The configuration determination module is used to perform an overall composite material configuration analysis of the 3D printing target unit on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

[0099] In this embodiment, for the specific implementation of each module in the above system embodiment, please refer to the above method embodiment, which will not be repeated here.

[0100] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A polypropylene composite material production system, characterized in that: include: A feature analysis module, used to obtain a preset feature distribution of a 3D printing target unit, and perform structural division of the 3D printing target unit based on material requirements according to the preset feature distribution, so as to obtain a material requirement feature distribution of the 3D printing target unit; wherein the material requirement feature distribution includes a plurality of material requirement features, and the material requirement feature is used to describe the requirement of a certain structural part on the 3D printing target unit for printing materials; A ratio analysis module, used to perform composite material ratio analysis on each material requirement characteristic in the material requirement characteristic distribution, so as to obtain a composite material ratio set corresponding to each material requirement characteristic; wherein the composite material ratio set includes a plurality of composite material ratio schemes that meet the material requirement characteristics; A value assessment module, used to perform multi-dimensional value assessment on the composite material ratio sets corresponding to the material demand characteristics according to the material demand characteristic distribution, so as to obtain value assessment parameters of each composite material ratio scheme in each composite material ratio set; The configuration determination module is used to perform an overall composite material configuration analysis of the 3D printing target unit on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

2. A method for producing a polypropylene composite material, characterized in that: A polypropylene composite material production system as claimed in claim 1, comprising: Acquire a preset characteristic distribution of a 3D printing target unit, and perform structural division of the 3D printing target unit based on material requirements according to the preset characteristic distribution, so as to obtain a material requirement characteristic distribution of the 3D printing target unit; wherein the material requirement characteristic distribution includes a plurality of material requirement characteristics, and the material requirement characteristics are used to describe the requirements of a certain structural part of the 3D printing target unit for printing materials; Performing composite material ratio analysis on each material requirement feature in the material requirement feature distribution to obtain a composite material ratio set corresponding to each material requirement feature; wherein the composite material ratio set includes a plurality of composite material ratio schemes that meet the material requirement feature; Performing a multi-dimensional value assessment on the composite material ratio sets corresponding to the respective material requirement characteristics according to the material requirement characteristic distribution, so as to obtain a value assessment parameter of each composite material ratio scheme in each composite material ratio set; An overall composite material configuration analysis of the 3D printing target unit is performed on the material demand characteristic distribution according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit.

3. A method for producing a polypropylene composite material according to claim 2, characterized in that: The steps of obtaining the preset characteristic distribution of the 3D printing target unit include: Performing target planning on the 3D printing target unit to obtain an initial design map of the 3D printing target unit; wherein the initial design map includes a structural appearance level and a structural physical quantity level; Analyzing the support stability and printing stability of the structural appearance level according to the structural physical quantity level in the initial design atlas to obtain a design evaluation result of the initial design atlas; Feedback suggestions are given to the initial design map according to the design evaluation results, so that the designer can adaptively adjust the initial design map according to the feedback suggestions to obtain a structural shape design and a structural physical quantity design, which together constitute a preset characteristic distribution of the 3D printing target unit.

4. A method for producing a polypropylene composite material according to claim 2, characterized in that: The step of performing structural division of the 3D printing target unit based on material requirements according to the preset characteristic distribution to obtain the material requirement characteristic distribution of the 3D printing target unit includes: Performing a range analysis of material requirements for each specific location of the 3D printing target unit according to the preset characteristic distribution to obtain a range of material property requirements for each specific location of the 3D printing target unit; Extracting the consistency features of adjacent regions of the material property requirement range of each specific location of the 3D printing target unit to reduce the material property requirement range of each specific location of the 3D printing target unit to obtain a preliminary selection range of each specific location of the 3D printing target unit; Structural division is performed on the preliminary selection range of each specific position of the 3D printing target unit according to a preset structural division standard to obtain a plurality of structural parts corresponding to the 3D printing target unit; Analyzing the similarity of material properties of the preliminary selection ranges corresponding to the various structural parts, so as to further narrow the preliminary selection ranges corresponding to the various structural parts, and determine the material requirement characteristics of the various structural parts; The material requirement characteristics of each of the structural parts together constitute the material requirement characteristic distribution of the 3D printing target unit.

5. The method for producing a polypropylene composite material according to claim 2, characterized in that: The steps of respectively performing composite material ratio analysis on each material requirement feature in the material requirement feature distribution to obtain a composite material ratio set corresponding to each material requirement feature include: Taking each material demand feature in the material demand feature distribution as a composite proportioning object, selecting and mixing multiple basic materials for each composite proportioning object, so as to obtain several composite material proportioning schemes of the composite proportioning object; wherein the composite material proportioning scheme includes the type and proportion of the basic materials; The composite material ratio schemes corresponding to the material requirement characteristics are combined to obtain a composite material ratio set of the material requirement characteristics.

6. A method for producing a polypropylene composite material according to claim 5, characterized in that: The steps of selecting and mixing multiple base materials for each composite ratio object to obtain a plurality of composite material ratio schemes of the composite ratio object include: Performing data matching on the composite ratio object according to a preset composite material property database to obtain a plurality of preset composite materials that match the composite ratio object; Analyzing the base material composition of several preset composite materials respectively to obtain the proportion base material types of various preset composite materials; According to the type of the ratio substrate, the ratio of the preset composite material is adjusted to obtain the upper and lower limits of the ratio of each type of substrate corresponding to the type of the ratio substrate for preparing the preset composite material, and the ratio weight of the substrate is generated according to the upper and lower limits of the ratio of the substrate; The proportion weights of various types of substrates corresponding to the type of the proportioned substrate are integrated to obtain a composite material proportioning scheme of the preset composite material, and the composite material proportioning schemes of the preset composite material together constitute a plurality of composite material proportioning schemes of the composite proportioning object.

7. A method for producing a polypropylene composite material according to claim 6, characterized in that: The step of performing multi-dimensional value evaluation on the composite material ratio sets corresponding to the respective material demand characteristics according to the material demand characteristic distribution to obtain value evaluation parameters of each composite material ratio scheme in each composite material ratio set comprises: Identifying the commonality of base materials for each composite material ratio set corresponding to each material requirement feature, so as to obtain occurrence records of each base material used in each composite material ratio set; According to the material demand characteristic distribution, the weight of each base material occurrence record is allocated to the 3D printing target unit to obtain the commonality weight of each base material; The composite value of each composite material ratio scheme is evaluated according to the commonality weight and ratio weight of each base material to obtain the value evaluation parameters of each composite material ratio scheme.

8. The method for producing a polypropylene composite material according to claim 2, characterized in that: The step of performing an overall composite material configuration analysis on the material demand characteristic distribution of the 3D printing target unit according to the value assessment parameter to obtain the overall composite material configuration of the 3D printing target unit includes: Conducting trial selection of composite material ratio schemes for various structural parts of the material demand characteristic distribution according to the value assessment parameters to obtain an overall trial configuration corresponding to the material demand characteristic distribution; wherein the overall trial configuration includes composite material ratio schemes for various structural parts of the 3D printing target unit; Analyzing the commonality of the substrates of the overall trial configuration to obtain the common characteristics of the substrates of the various composite material ratio schemes in the overall trial configuration; The common characteristics of the substrates are judged according to preset standards. If the judgment result shows that the common characteristics of the substrates do not meet the preset standards, various composite material ratio schemes in the overall trial configuration are adjusted and replaced in different forms according to the common characteristics of the substrates to obtain several retest configurations, and the common characteristics of the substrates of each retest configuration are analyzed according to the preset standards until a retest configuration that meets the preset standards is obtained; The retest configurations whose common characteristics of the substrates meet the preset standards are converted to obtain the composite material ratio scheme.

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