39 results about "Model material" patented technology

The invention belongs to the technical field of composite material design, and discloses a polymer composite material design method based on LLM knowledge database construction and reasoning optimization, and the method comprises the following steps: S1, target performance setting; s2, constructing a knowledge database; s3, constructing a reverse design model; s4, constructing a performance verification module; and S5, performing multi-round test-verification design loop optimization. According to the method, an intelligent design method integrating target setting, semantic knowledge database construction, a design assistant, a performance verifier, a prompt engineering module and a language model material knowledge system is provided, closed-loop reasoning and feedback of structure-mechanism-performance are achieved through multiple rounds of DA-VM collaborative optimization, and the design efficiency is improved. The method has the advantages of high design efficiency, strong structure generation rationality, accurate performance prediction, knowledge evolvable and the like, and is suitable for intelligent rapid development of the high thermal conductivity-wave absorbing-shielding-mechanical integrated functional polymer composite material.

The invention discloses a shield segment heterogeneous modeling crack and limit simulation method. The method comprises the following steps: constructing an aggregate three-dimensional model database; generating a heterogeneous aggregate accumulation model; establishing a concrete shield segment three-dimensional model; defining a model material constitutive relation and a damage criterion; setting an equivalent field staged loading working condition and a boundary condition; grid division and nonlinear static simulation solution are carried out; and constructing a crack response monitoring and output module, and executing judgment of a structure limit state. High-precision construction and multi-stage loading simulation of a shield segment model are realized by reconstructing a concrete microstructure and steel bar arrangement information and combining a field loading force value and a boundary condition; and a nonlinear material constitutive and damage evolution criterion is introduced, the whole-process response of the crack is captured, a limit state criterion is set, and automatic identification and damage form judgment of the bending resistance limit load are completed. According to the method, a technical path capable of being popularized is provided for shield segment structure performance evaluation, ultimate bearing prediction and a crack control strategy.

The embodiment of the invention discloses a spectrum-based substance mixing degree detection method and device. The intelligent generated data processing method comprises the following steps: acquiring first hyperspectral data of a to-be-modeled material in a stirring process state and final-state hyperspectral data of the to-be-modeled material in a uniform stirring state; establishing a final state spectrum difference curve, an intra-group spectrum difference curve and a large particulate matter distribution curve; determining a multi-dimensional mixing degree judgment index according to the final-state spectrum difference curve, the intra-group spectrum difference curve and the large particulate matter distribution curve; when it is detected that the to-be-detected material flows into the detection pipeline and is located in the to-be-detected area, starting a hyperspectral acquisition device to acquire a plurality of second hyperspectral data of the to-be-detected material; when it is detected that the multiple second hyperspectral data meet the preset validity condition, the multi-dimensional mixing degree judgment index and the preset batch qualification condition, it is judged that the to-be-detected material reaches the uniform mixing state. According to the embodiment of the invention, accurate detection of the substance mixing uniformity is realized.

The invention relates to the technical field of engineering monitoring, in particular to a bridge structure state monitoring method and system based on digital twinning, and the method comprises the steps: building a multi-source monitoring data matrix based on a data timestamp; establishing a geometric model, a material attribute model and a load model of a bridge structure based on the multi-source monitoring data matrix, and fusing to obtain a bridge digital twin initial model; and carrying out structural mechanical analysis based on the bridge digital twin initial model to obtain stress distribution data of each region of the bridge. Through real-time acquisition and analysis of multi-source monitoring data, the method can dynamically evaluate the structural state of the bridge and timely identify potential safety hazards, so that the safety of the bridge is improved; and through calibration of the initial model, the obtained digital twin precise model reflects the real state of the bridge, and a more accurate data basis is provided for subsequent structural analysis.

The application relates to the technical field of image processing, and provides a model material replacement method and device for a design drawing. The method comprises the following steps: determining a target model from each model of a design drawing according to a received material selection instruction; obtaining a target material map corresponding to the material selection instruction from each material map of the target model; and merging the target material map, a light map, a diffuse reflection map and a reflection refraction map of the design drawing to obtain a model image of the target model in the design drawing; wherein the design drawing is an image obtained through rendering; the light map, the diffuse reflection map and the reflection refraction map are each layer obtained after the design drawing is rendered. The model material replacement method for the design drawing provided by the application can reduce the calculation amount of the model in the design drawing when the material is replaced, and reduce the resources consumed when the model material is replaced.

A three-dimensional modeling apparatus and a method of manufacturing a three-dimensional modeled object reduce the likelihood that waste material adhering to a cleaning mechanism will re-adhere to a head and affect modeling accuracy. The three-dimensional modeling apparatus includes an ejection section that ejects modeling material from a nozzle, a table on which modeling material is layered, a drive section that changes the relative positions of the ejection section and the table, a cleaning mechanism that includes a brush and a squeegee, and a control section. The control section performs a cleaning operation in which the nozzle is reciprocated in a manner that causes the nozzle to cross the cleaning mechanism multiple times, thereby causing at least one of the brush and the squeegee to contact the nozzle. The control section causes the nozzle to reciprocate in a manner that causes the nozzle to contact different positions of the brush or the squeegee during the cleaning operation. The temperature of the nozzle during the cleaning operation is lower than the temperature of the nozzle when the layers are layered.

The application provides a step-by-step decomposition-space mapping three-dimensional material point material parameter random field generation method, and belongs to the technical field of water conservancy and hydropower. First, a three-dimensional geometric model of a structure is established according to engineering geological data, high-precision mesh division is carried out, each mesh is converted into a material point carrying mass and volume, and a material point model is obtained. Second, a background mesh element is determined, and a background mesh covering the space occupied by the entire structure is generated. Third, a correlation function reflecting the material parameter properties is selected, a step-by-step decomposition method is used, and a material parameter random field on the background mesh element is generated. Finally, the value of the material parameter of the material point model is determined through a space mapping technology, and a three-dimensional material point material parameter random field is generated. The application is based on the material point method, and realizes the generation of a three-dimensional random field of a geotechnical engineering material parameter through the joint application of a step-by-step decomposition-space mapping technology, thereby providing technical support for the simulation of large deformation of a geotechnical engineering considering spatial variability.

The utility model discloses an operating platform for BIM (Building Information Modeling), which belongs to the field of operating platforms and is characterized in that an open collecting bin is arranged at the upper end of a collecting box, and solid modeling materials are stored through the open collecting bin; a lighting system mounting bin is formed in the entity modeling table, mounting hole positions are formed in the upper end and the lower end of the entity modeling table, a lighting system controller is mounted on the inner wall of the collecting box, and a lighting system in the lighting system mounting bin is controlled through the lighting system controller so that lighting of entity modeling objects on the surface of the entity modeling table can be achieved. And the modeling computer is fixed at the upper end of the table body, so that an operator can conveniently and efficiently carry out BIM modeling. Seamless connection of virtuality and entity modeling is achieved through the entity modeling table design, and the working efficiency is improved. And the lighting system in the platform and the controller provide sufficient illumination for modeling, so that the modeling precision can be improved. The design of the collecting box facilitates storage and management of modeling materials, convenient control is achieved through an inner wall lighting system controller, and operation convenience and flexibility are improved.

The invention discloses a model dyeing method and device, a storage medium, equipment and a program product, and the method comprises the steps: obtaining the updated real-time dyeing parameters of a first model material in response to the dyeing parameter change of the first model material, and enabling the first model material to correspond to a first model; according to the dyeing parameter binding relation between the first model material and the second model material, the real-time dyeing parameter is synchronized to the second model material, the second model material corresponds to a second model, and the first model and the second model are two models of different dimensions of the same virtual object; and performing real-time dyeing processing on the second model based on the synchronized real-time dyeing parameters. According to the scheme provided by the embodiment of the invention, the real-time, accurate and consistent dyeing effect of the same virtual object under different dimension model representation forms is realized.

The embodiment of the invention discloses a material processing method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that a first three-dimensional model is determined, and the first three-dimensional model comprises a first material configured according to a first item material requirement; obtaining first map channel information corresponding to the first material and a second project material demand, wherein the second project material demand is at least used for specifying second map channel information corresponding to a project material used in a second project; based on the first map channel information and the second map channel information, the second material having the same physical characteristics as the first material is generated, automation and intelligentization of material conversion are achieved, the three-dimensional model material can be rapidly and accurately processed, and therefore the requirements for materials in different project diversified application scenes are met, and the material conversion efficiency is improved. The technical effect of efficiently, accurately and flexibly processing the three-dimensional model material is achieved.

The invention provides a method and a system suitable for thermal deformation analysis of an anisotropic composite material structure. The method comprises the following steps: establishing a structural finite element analysis model; applying boundary constraint and load conditions; setting a thermal expansion coefficient attribute and a material mechanical attribute of a model material; initializing setting of model material thermal expansion coefficient properties and material mechanical property polarities; simulating, analyzing and calculating the internal strain of the structure; checking and correcting the thermal constitutive attribute polarity of each unit according to the temperature and load calculation result of each unit of the finite element model; checking and correcting the force constitutive attribute polarity of each unit according to the temperature and load calculation result of each unit of the finite element model; judging whether the current strain calculation result meets the tolerance requirement or not according to the convergence criterion, and if yes, entering the next step of analysis and calculation; and according to the previous unit strain analysis result, modifying the expansion coefficient of the finite element model unit and the material mechanical parameter polarity, carrying out analysis and calculation, and outputting a final calculation result.

The invention discloses an elastomer digital model material optimization method and system based on stress field matching, and belongs to the field of physical simulation. Converting the model into volume grid representation and marking displacement constraints of a target area; calculating to obtain an unconstrained displacement vector and a corresponding stress vector under the current material parameter estimation; the displacement of the target area is constrained as a constraint condition, and a constraint displacement vector under current material parameter estimation is obtained through calculation; and solving according to the stress vector and the constraint displacement vector to obtain optimized material parameter estimation, updating the current material parameter estimation into the optimized material parameter estimation, and repeating iterative optimization until the optimization task is completed. According to the method, the high-fidelity result of displacement matching and the calculation efficiency of force matching are combined, robustness is achieved under different resolution conditions, and the efficiency of material optimization in application such as numerical value calibration and coarsening is improved.

The invention discloses a data processing method and device, a storage medium, equipment and a program product, and the method comprises the steps: obtaining a timestamp of a triggering moment of a special effect triggering event in response to the special effect triggering event of a virtual model; generating an interpolation coefficient in a preset range according to the relative duration of the current time and the timestamp; a predefined material function is called, a model material of the virtual model is controlled to be transited from a first visual attribute to a second visual attribute according to the interpolation coefficient, the first visual attribute is an initial visual attribute of the model material, and the second visual attribute is a visual attribute corresponding to the special effect trigger event; all the virtual models in the same batch model share the material function. Transition of the virtual model material effect is controlled through the interpolation coefficient, and the sense of reality of a virtual scene is enhanced; the scene objects share one set of material function, so that the development time and workload are reduced.

The invention discloses a high-precision weighing method and system for a material tower under a weighing sensor fault, and belongs to the technical field of industrial intelligent sensing, and the method comprises the steps: obtaining the data of a material tower weighing sensor, and carrying out the preprocessing of the data of the material tower weighing sensor; the method comprises the following steps: modeling data of a material tower weighing sensor by adopting a nonlinear tree model, learning a nonlinear relationship between the data of the material tower weighing sensor and the total weight of the material tower through a training model, and applying monotonic constraint to a target in a model training process; and predicting the new weighing sensor data by using the trained nonlinear tree model to obtain the total weight of the material tower, and correcting a prediction result by using a calibration method on the basis of the prediction result. According to the method, the problem that the total weight of the material tower is difficult to accurately predict in the absence of key weighing sensor data in the prior art is solved. According to the method, the total weight of the material tower can be accurately calculated under the condition that part of the weighing sensors break down or data is lost by utilizing a machine learning technology.

The application provides a 3D inkjet printing device, a model material quantity determination method and device. The quantity of at least two model materials required by the 3D inkjet printing device for printing a 3D model can be determined according to different printing modes of the 3D inkjet printing device. Therefore, the quantity of the at least two model materials required for printing the 3D model can be determined more quickly and effectively before the 3D inkjet printing device prints the 3D model, so that early quotation and / or early judgment of whether the quantity of the materials stored in the 3D inkjet printing device can meet the requirements can be realized, and the materials for replenishment can be prepared in advance, so that the normal use of the 3D inkjet printing device is ensured, and the user experience of the 3D inkjet printing device is improved.

The application discloses a multi-modal guided large language model material generation method, a storage medium and equipment, utilizes VQ-VAE to discretize and encode material microstructure, constructs a structure unit codebook, and maps a structure sequence and a text sequence to a unified discrete semantic space, thereby providing a unified representation basis for subsequent multi-modal condition guidance and material structure generation; in order to enhance the visual consistency between the generated microstructure and the expected design, a structure sketch generation algorithm SSGA based on a three-view representation of material microstructure is designed, a multi-modal guided large language model generation framework is constructed by utilizing a text and a generated sketch condition; finally, based on an attribute guided adaptive auxiliary optimization strategy, attribute constraints are integrated to optimize the generated microstructure, and it is ensured that the generated structure attribute is consistent with the required physical attribute. The method disclosed by the application supports flexible input of a text and a sketch, is more interactive, and meanwhile, the rationality of structure topology is maintained.

The application discloses a simulation method for thermal straightening of a composite material rotary body based on deformation energy theory, belongs to the field of structural composite materials and process technology, and is suitable for manufacturing of a composite material rotary body component. The application adopts a mesoscopic mechanics model to predict viscoelastic properties of the composite material as model material performance input conditions, performs straightening load design based on a functional principle through energy conservation of three energy increments, i.e., a deformation energy increment caused by the straightening load, a deformation energy increment caused by springback deformation after unloading of the straightening load, and a deformation energy increment between a final straightening state and an initial deformation state, simulates straightening springback and straightening residual deformation conditions, and guides deformation control of the composite material process.

The invention discloses an interactive three-dimensional model material switching method and system based on data driving, and the system comprises a data structure definition module which is used for creating a self-defined data structure which at least comprises a material asset reference field and an associated information field; the data asset storage module is used for storing the data structure to form a plurality of material options, and each material option corresponds to an identifier; and the three-dimensional entity logic module is used for receiving input information, quoting corresponding materials in the material options according to the input information and rendering a target through the quoted materials, and the system is implemented by adopting the system. According to the interactive three-dimensional model material switching method and system based on data driving, material data and program logic are completely separated, all material options can be managed by editing a visual data table, the search process is simple, maintenance and management are convenient, complex codes or blueprints do not need to be contacted, and team cooperation efficiency is greatly improved.

This invention provides a method and system for rendering game maps, comprising: acquiring the edge coordinates of the game interface to be entered and performing scene model matching to obtain a first model to be rendered; acquiring lighting feature parameters including lighting intensity parameters, lighting position parameters, and lighting frequency parameters; extracting model material features, model geometric features, and model concavity / convexity features based on the first model to be rendered; performing lighting analysis on the model material features, model geometric features, and model concavity / convexity features based on the lighting feature parameters to generate an environment texture map of the first model to be rendered; evaluating the rendering realism based on the environment texture map of the first model to be rendered to obtain a rendering realism score; and generating a first rendering instruction when the rendering realism score is greater than or equal to a rendering realism score threshold to render the first model to be rendered. This solves the technical problem in the prior art of incompatibility between real-time performance and rendering realism.

The application provides a model material optimization method and system for comprehensive quantitative evaluation of strength and deformation indexes, and the method comprises the following steps: obtaining two types of samples and performing uniaxial compression experiments on the two types of samples, the model material samples comprising multiple groups of model material samples; obtaining a strength response deviation of the model material samples based on uniaxial compression test results of the two types of samples and similarity theory; obtaining stress-strain curves of corresponding samples based on the uniaxial compression test results of the two types of samples, and then determining multiple characteristic points, the characteristic points comprising a peak stress point and multiple deformation characteristic points; obtaining a deformation index deviation of the model material samples based on the compressive strength of each characteristic point and the slope of a linear fitting curve between any two characteristic points by using the compressive strength of each characteristic point; obtaining a comprehensive deviation of each group of model material samples based on the strength response deviation and the deformation index deviation, and selecting a group of model material samples corresponding to the minimum comprehensive deviation as optimal model material for building a physical similar model.

The application relates to the technical field of three-dimensional model conversion, and discloses a support material module intelligent replacement system and a conversion method, which comprises the following steps: reading binary data in a Blender model file, cutting important data segments, extracting and compressing; executing a material intelligent module conversion strategy, identifying and automatically mapping corresponding material nodes of UE; according to target UAsset format requirements, executing a dynamic data mapping and segmentation technology strategy, setting mapping rules of Blender model material and map data to the UE material system; automatically detecting problems in the Blender model, executing an intelligent compatibility repair strategy, performing geometric body repair, UV stretch repair and material compatibility repair; real-time detection of potential conversion errors, execution of a fault tolerance and adaptive repair strategy, automatic enabling of an alternative solution for repair of materials that cannot be correctly mapped or have invalid texture paths; through the all-round automatic process, the efficiency and accuracy of model conversion are significantly improved.

Disclosed are systems and method for determining information related to building materials based on determined measurements from a multi-dimensional building model comprising features and elements embodying such materials and measurements. The multi-dimensional model may be based on a plurality of received images, such as ground-based images of a building. The multi-dimensional model may be scaled, or a scale extracted based on data of the model. The multi-dimensional model may comprise architectural elements, and the scale used to determine measurements of such architectural elements. With the scaled measurements of the architectural elements in the model, product information related to multi-dimensional model and its elements may be derived and combined in alternative means.

This invention provides an experimental method for the parametric response of a coupled system of an offshore platform-riser-subsea wellhead, belonging to the technical field of riser systems. This method uses the configuration parameters of an actual offshore drilling riser system as a basis, and determines the parameters of the similarity ratio, model material, and structural dimensions based on similarity theory and truncation design theory. The various devices are fastened together using flanges and bolts. The heave amplitude and frequency of the six-degree-of-freedom excitation platform and the drilling fluid circulation device are adjusted to control the drilling fluid flow rate and pressure within the riser string. Multiple sets of metal strain gauges are attached to different positions on the riser string, and a three-part force meter is installed at the top and bottom of the riser system. By analyzing and processing the collected data, this method can solve the problem of unclear mechanisms affecting the parametric excitation vibration of the pressure-controlled drilling riser coupled system under complex loads.

The application provides a kind of impact simulation test construction method based on Digimat / Abaqus, comprising: the setting of the impact finite element model of stab-resistant material, including geometric model, material model, contact definition, load and boundary condition and the output setting of stab-resistant impact simulation result and analysis model, including stab-resistant impact simulation result and stab-resistant impact model verification.The material model containing fabric composite material microstructure information constructed by the application using Digimat can be directly used as the material attribute input of Abaqus / CAE impact finite element model for calculation through Digimat to Abaqus interface technology, realizing the multi-scale analysis of composite material microstructure parameters and macroscopic impact load condition response;And combined with the physical test of stab-resistant impact, the effectiveness of the equivalent impact finite element model of the impact model of the stab-resistant material on the backing is established and verified.

The invention discloses a seismic physical model material ratio parameter modeling method based on artificial intelligence. The method comprises the steps of S1, experimental design and data acquisition; s2, performing SVR forward modeling based on a kernel method, and constructing a nonlinear mapping model between a matching matrix of the epoxy resin, the silicone rubber and the talcum powder and physical parameters of the test block based on support vector regression of the kernel method; s3, a data enhancement strategy is carried out, Latin hypercube sampling is carried out in the design space of the material ratio to generate K groups, and K is larger than or equal to 100 new ratio parameters; and S4, performing reverse modeling based on a machine learning method, and constructing an inverse problem solving model for reversely deducing the material ratio parameter X from the target physical parameter Y. The method supports multi-target joint prediction, automatically meets the proportion constraint, has accuracy, robustness and engineering practicability, and provides an efficient and reliable solution for intelligent design of seismic physical simulation materials.

An additive formulation for use in combination with a modeling material formulation in three-dimensional printing of an object on a fabric, is disclosed herein. The additive formulation features, when hardened, Tg higher than 50 °C, or that ranges from 50 to 90, or from 60 to 80, °C, and presents a rigid additive formulation. The additive formulation is made of a combination of mono-functional and multi-functional curable materials as detailed in the instant specification. Also provided are methods of three-dimensional printing an object on a fabric, of preparing a fabric for three-dimensional printing of an object thereon and of forming an adhesive structure on a fabric, which utilize the rigid additive formulation.

This invention relates to a method for manufacturing three-dimensional objects, a three-dimensional modeling system, and an information processing apparatus, providing a technology that reduces the labor required to manually add control data for controlling functions specific to a three-dimensional modeling device. A method for manufacturing three-dimensional objects by layering three-dimensional modeling devices is provided. The method includes: a first step of acquiring first modeling data including path information indicating the movement path of an ejector unit that moves while ejecting modeling material, and ejection amount information indicating the amount of modeling material ejected along the movement path; a second step of generating second modeling data by adding control data of control functions to the first modeling data, or modifying the control data included in the first modeling data, based on device function information including information of functional units possessed by the three-dimensional modeling device; and a third step of controlling the three-dimensional modeling device to model the three-dimensional object according to the second modeling data.

The application discloses a kind of based on stress field matching elastomer digital model material optimization method and system, belong to the field of physical simulation.Model is converted to volume grid representation and marks target area displacement constraint;Unconstrained displacement vector and corresponding stress vector under current material parameter estimation are calculated;Target area displacement constraint is constraint condition, and constraint displacement vector under current material parameter estimation is calculated;According to stress vector and constraint displacement vector, optimized material parameter estimation is solved, and current material parameter estimation is updated to optimized material parameter estimation, and iteration optimization is repeated until optimization task is completed.The application combines the high fidelity result of displacement matching with the calculation efficiency of force matching, and is robust under different resolution conditions, improving the efficiency of material optimization in numerical calibration, coarsening and other applications.

Modeling material formulation systems usable in additive manufacturing, 3D inkjet printing in particular, of three-dimensional objects, are provided. The formulations comprise two or more curable materials, such that an average molecular weight of the curable materials in each formulation is no more than 500 grams / mol, such that each formulation features a viscosity of no more than 50 centipoises at a temperature of 35° C. Kits comprising the formulations or formulation systems and additive manufacturing processes utilizing same are also provided.