3D printing method and system of energy storage concrete

Abstract

The application relates to a 3D printing method and system of energy storage concrete, relates to the field of concrete 3D printing forming construction technology, and comprises the following steps: obtaining a first performance requirement; determining a mixing ratio based on the first performance requirement; adsorbing a phase change material on an aggregate according to the mixing ratio to form an adsorbed aggregate; mixing the adsorbed aggregate and a solidified resin according to the mixing ratio to form a first printing base material; generating a first design framework structure based on the first performance requirement by adopting a preset topological optimization design method; printing the first printing base material according to the first design framework structure by adopting a preset 3D printing technology to form a first actual framework; and placing the first actual framework into a preset first template, and then pouring concrete into the first template, so that the structural strength of the concrete is ensured under the condition that the concrete can store heat, and the compressive and tensile strength of the wall of the energy storage concrete is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of concrete 3D printing forming construction technology, in particular to a 3D printing method and system of energy storage concrete. BACKGROUND

[0002] With the growth of global energy demand and the intensification of carbon emission problems, the construction industry, as one of the main fields of energy consumption, is facing tremendous pressure to save energy and reduce emissions. Concrete, as the core material of building structures, is widely used worldwide. However, traditional concrete has many limitations in terms of functionality, especially in terms of energy management and thermal regulation performance, which makes it difficult to meet the demand for building energy saving.

[0003] In recent years, the introduction of phase change materials (PCM) has provided an innovative solution for the thermal management of concrete. In response to this problem, in recent years, PCM has received extensive attention as a new type of thermal regulation material. Phase change materials have the characteristics of absorbing or releasing a large amount of latent heat within a certain temperature range, which can effectively regulate indoor temperature and reduce the impact of external heat on indoor environment. The related method is usually to combine phase change materials with aggregates (such as expanded perlite, expanded graphite, etc.) by adsorbing phase change materials with aggregates as part of the composite material added to concrete.

[0004] The existing technology has the following problems: the strength of the phase change material itself is low, the interface between the phase change material and the concrete matrix is not tight enough, and the interface is easy to debond during the stress process, which further weakens the overall mechanical properties of the concrete, and there is still room for improvement. SUMMARY

[0005] In order to improve the problem that the strength of the phase change material itself is low, the interface between the phase change material and the concrete matrix is not tight enough, and the interface is easy to debond during the stress process, which further weakens the overall mechanical properties of the concrete, the present application provides a 3D printing method and system of energy storage concrete.

[0006] In a first aspect, the present application provides a 3D printing method of energy storage concrete, which adopts the following technical solution:

[0007] A 3D printing method of energy storage concrete, comprising:

[0008] Obtaining a first performance requirement;

[0009] Determining a mixing ratio based on the first performance requirement;

[0010] Forming an adsorbed aggregate by adsorbing a phase change material on an aggregate according to the mixing ratio;

[0011] mixing the adsorbing aggregate and the solidified resin according to a mixing ratio to form a first printing base material;

[0012] generating a first design skeleton structure based on the first performance requirement by using a preset topology optimization design method;

[0013] printing the first printing base material according to the first design skeleton structure by using a preset 3D printing technology to form a first actual skeleton;

[0014] placing the first actual skeleton into a preset first mold, and then pouring concrete into the first mold.

[0015] By using the above technical solution, the phase change material, the aggregate and the solidified resin are mixed to form a skeleton structure, which ensures the structural strength of the concrete while ensuring that the concrete can store heat energy, thereby improving the compressive and tensile strength of the energy storage concrete wall.

[0016] Optionally, the method for generating the first design skeleton structure based on the first performance requirement by using the preset topology optimization design method comprises:

[0017] establishing an initial model based on a preset finite element analysis;

[0018] topology optimizing the initial model based on the first performance requirement to obtain a joint optimization model;

[0019] evaluating the joint optimization model by using a preset machine learning algorithm to obtain an optimization direction;

[0020] adjusting the joint optimization model based on the optimization direction until a skeleton structure model is obtained, wherein the skeleton structure model meets the first performance requirement;

[0021] generating the first design skeleton structure based on the skeleton structure model.

[0022] By using the above technical solution, in the topology optimization process, a model can be formed by using the finite element method first, and then the skeleton model is optimized and adjusted to finally obtain an optimal scheme that meets the performance requirement. The optimized design significantly improves the heat transfer efficiency, enhances the energy storage capacity of the material, and improves the compressive and tensile strength of the concrete wall.

[0023] Optionally, the method for training the initial model to obtain the joint optimization model comprises:

[0024] collecting topology optimization data;

[0025] collecting multi-physical field coupling simulation data based on the topology optimization data;

[0026] constructing a data set after cleaning and normalizing the multi-physical field coupling simulation data;

[0027] The initial model is trained based on the data set to obtain a joint optimization model.

[0028] By adopting the technical scheme, the model is trained through continuously collecting external topology optimization data to improve the accuracy and effectiveness of the model.

[0029] In a second aspect, the application provides a 3D printing method of energy storage concrete, which adopts the following technical scheme:

[0030] A 3D printing method of energy storage concrete comprises the following steps:

[0031] Obtaining a second performance requirement;

[0032] Generating a second design skeleton structure based on the second performance requirement by using a preset topology optimization design method, wherein the second design skeleton structure is internally hollow and provided with an injection port;

[0033] Printing the solidified resin according to the second design skeleton structure by using a preset 3D printing technology, and solidifying to form a second actual skeleton;

[0034] Injecting a phase change material into the second actual skeleton, and closing the injection port of the second actual skeleton;

[0035] Placing the second actual skeleton into a preset second template, and pouring concrete into the second template.

[0036] By adopting the technical scheme, a resin skeleton cavity internally hollow is first formed, and then a phase change material is injected into the cavity, so that the structural strength of the concrete is ensured under the condition that the concrete can store heat, and the compressive and tensile strengths of the wall of the energy storage concrete are improved.

[0037] Optionally, the method further comprises the following steps:

[0038] Integrating a sensor network based on the second actual skeleton before closing the injection port of the second actual skeleton;

[0039] Setting an external environment based on the second performance requirement, and obtaining sensing data of the sensor network;

[0040] Calculating an energy storage effect based on the sensing data and the external environment;

[0041] Replacing the phase change material when the energy storage effect is lower than a preset requirement effect;

[0042] Closing the injection port of the second actual skeleton when the energy storage effect is higher than the requirement effect.

[0043] By adopting the technical scheme, the performance of the phase change material inside is monitored before the sealing to ensure that the performance of the phase change material meets the requirements, and the energy storage capacity of the wall of the energy storage concrete is improved.

[0044] Optionally, the method for replacing the phase change material comprises:

[0045] The pouring direction is determined based on the injection port, and the second actual framework is poured according to the pouring direction;

[0046] When there is no phase change material flowing out of the injection port, the external dynamic environment is detected, and a thermal imaging image is obtained;

[0047] The residual area is determined based on the thermal imaging image;

[0048] The modified pouring direction is determined based on any one residual area;

[0049] The second actual framework is poured according to the modified pouring direction until the residual area does not exist;

[0050] When the residual area does not exist, the phase change material with better performance is injected.

[0051] By adopting the technical scheme, the performance of the phase change material inside is monitored before the sealing to ensure that the performance of the phase change material meets the requirements, and the energy storage capacity of the wall of the energy storage concrete is improved.

[0052] Optionally, the optimization method for determining the modified pouring direction comprises:

[0053] The individual pouring direction is determined based on any one residual area;

[0054] The individual pouring direction is classified based on a preset classification rule to obtain a pouring direction set;

[0055] The pouring direction set with the largest number is screened, and the pouring direction set is defined as a first pouring direction set;

[0056] The modified pouring direction is determined by randomly selecting one residual area in the first pouring direction set.

[0057] By adopting the technical scheme, most of the pouring directions are close to the injection port during the pouring process, so that the remaining residual areas can be quickly poured, and the pouring efficiency of the residual areas is improved.

[0058] Optionally, the method further comprises:

[0059] When the residual area always exists, the residual area is defined as a fixed residual area;

[0060] The removal area and the cutting position are determined based on the fixed residual area;

[0061] cutting the cutting position and continuously acquiring the thermal imaging image;

[0062] repairing the taking-out area when the fixed residual area does not exist.

[0063] By adopting the above technical solution, if it is really impossible to pour and the position cannot be poured successfully no matter how it is poured, then cutting is performed at the position to take out the internal phase change material, thereby improving the flexibility of taking out the phase change material.

[0064] Optionally, the method for repairing the taking-out area comprises:

[0065] determining the repair pipe body structure based on the fixed residual area;

[0066] disassembling based on the repair pipe body structure to obtain the solidification forming area and the suture area;

[0067] printing the solidified resin according to the repair pipe body structure by using the 3D printing technology;

[0068] shielding the suture area and solidifying to form a partially solidified pipe body;

[0069] placing the partially solidified pipe body at the taking-out area and then solidifying the suture area to complete the repair.

[0070] By adopting the above technical solution, the pipe body with the material not yet solidified at both ends and completely solidified in the middle is formed outside in advance during the repair process, and then suture is performed to achieve the repair purpose, thereby improving the repair efficiency.

[0071] In a third aspect, the application provides a 3D printing system of energy storage concrete, which adopts the following technical solution:

[0072] The 3D printing system of energy storage concrete comprises:

[0073] an acquisition module configured to acquire a first performance requirement, a second performance requirement, sensing data, and a thermal imaging image;

[0074] a memory configured to store a program of a control method of any of the 3D printing methods of energy storage concrete;

[0075] a processor, and the program in the memory can be loaded and executed by the processor and implement the control method of any of the 3D printing methods of energy storage concrete.

[0076] By adopting the technical scheme, the phase change material, the aggregate and the solidified resin are mixed to form a framework structure, or a resin framework cavity with an internal cavity is formed first, and then the phase change material is injected into the internal cavity, so that the structural strength of the concrete is ensured in the case that the concrete can store heat, the compressive and tensile strengths of the wall of the energy storage concrete are improved.

[0077] In summary, the present application includes the following at least beneficial technical effects:

[0078] 1. The phase change material, the aggregate and the solidified resin are mixed to form a framework structure, or a resin framework cavity with an internal cavity is formed first, and then the phase change material is injected into the internal cavity, so that the structural strength of the concrete is ensured in the case that the concrete can store heat, the compressive and tensile strengths of the wall of the energy storage concrete are improved.

[0079] 2. The model is formed by the finite element method first, and then the framework model is optimized and adjusted to finally obtain an optimal scheme that meets the performance requirements, the optimized design significantly improves the heat transfer efficiency, enhances the energy storage capacity of the material, and improves the compressive and tensile strengths of the concrete wall.

[0080] 3. The performance of the phase change material in the internal cavity is monitored before the seal to ensure that the performance of the phase change material meets the requirements, and the energy storage capacity of the wall of the energy storage concrete is improved. BRIEF DESCRIPTION OF DRAWINGS

[0081] Figure 1 is a flowchart of a 3D printing method of an energy storage concrete in embodiment 1 of the present application.

[0082] Figure 2 is a flowchart of a method for generating a first design framework structure based on a first performance requirement by adopting a preset topology optimization design method in embodiment 1 of the present application.

[0083] Figure 3 is a flowchart of a method for training an initial model to obtain a joint optimization model in embodiment 1 of the present application.

[0084] Figure 4 is a flowchart of a 3D printing method of an energy storage concrete in embodiment 2 of the present application.

[0085] Figure 5 is a flowchart of a method for replacing the phase change material in embodiment 2 of the present application.

[0086] Figure 6 is a flowchart of an optimization method for determining a corrected pouring direction in embodiment 2 of the present application.

[0087] Figure 7is a flow chart of the method for repairing the taking-out area in Embodiment 2 of the present application.

[0088] Figure 8 is a system module diagram of a 3D printing method of energy storage concrete in an embodiment of the present application. DETAILED DESCRIPTION

[0089] For the purposes of the present application, the technical solutions and advantages thereof are more clearly apparent, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, and are not intended to limit the present application. Figures 1-8 and embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, and are not intended to limit the present application.

[0090] Embodiment 1

[0091] Embodiments of the present application disclose a 3D printing method of energy storage concrete. Referring to Figure 1 , a 3D printing method of energy storage concrete comprises:

[0092] Step 100: obtaining a first performance requirement.

[0093] The first performance requirement is the requirement for the result strength and heat storage and transfer efficiency of the energy storage concrete. The corresponding requirement content is obtained by human input. For example: heat storage capacity: 65kJ / m 2 , temperature regulation range: 25-32°C, heat transfer coefficient: increase by 30%, compressive strength: 35Mpa.

[0094] Step 101: determining a mixing ratio based on the first performance requirement.

[0095] The mixing ratio is the mixing ratio between the phase change material, the aggregate and the resin. It can be obtained by a series of conversion formulas, or it can be obtained by searching the database, i.e. the database stores the mapping relationship between the first performance requirement and the mixing ratio. The working staff in the field measures various requirements according to different mixing ratios, and obtains the corresponding first performance requirement. When the system receives the corresponding first performance requirement, it automatically searches the corresponding mixing ratio from the database and outputs.

[0096] Step 102: forming an adsorbed aggregate by adsorbing the phase change material on the aggregate according to the mixing ratio.

[0097] The adsorbed aggregate is the aggregate after adsorbing the phase change material.

[0098] The phase change material selected here can also be determined according to the first performance requirement, for example: paraffin. The aggregate can be expanded graphite. Paraffin as a phase change material can absorb or release heat within a certain temperature range, while expanded graphite has a high specific surface area and can effectively adsorb paraffin. Furthermore, to further improve the adsorption effect of the phase change material, vacuum impregnation method can be used to make paraffin more fully penetrate into the pores of expanded graphite. This method can ensure that paraffin is uniformly adsorbed on the expanded graphite particles, thereby improving the energy storage effect and heat conduction efficiency of the phase change material.

[0099] Step 103: Mix the adsorbed aggregate and the solidified resin according to the mixing ratio to form a first printing substrate.

[0100] The first printing substrate is a substrate for 3D printing. At this time, the resin wraps the expanded graphite particles, and the graphite inside adsorbs paraffin. The addition of resin not only ensures the stability of the phase change material, realizes the packaging of the phase change material, but also provides sufficient fluidity for 3D printing.

[0101] The solidified resin here can be made of light-cured material or heat-cured material, or a mixture of light-cured material and heat-cured material. The light-cured material can be light-cured epoxy acrylic resin. In addition, light-cured acrylic resin, light-cured polyurethane resin, light-cured methacrylate resin, light-cured styrene resin, light-cured polyester resin, light-cured composite resin, high-temperature light-cured resin, etc. Light-cured resin can also be used as a substitute for light-cured epoxy acrylic resin. These light-cured resins undergo cross-linking reactions under ultraviolet light irradiation, rapidly change from liquid to solid, and form solid materials with good mechanical properties and durability. The heat-cured material can be heat-cured epoxy acrylic resin. Heat-cured polyester resin, heat-cured phenolic resin, heat-cured polyurethane resin, heat-cured amino resin, heat-cured polyamide resin, heat-cured silicone resin can also be used as a substitute for heat-cured epoxy acrylic resin. These heat-cured resins undergo cross-linking reactions through heating by external heat-curing devices, rapidly change from liquid to solid, and form solid materials with good mechanical properties and durability.

[0102] Step 104: Generate a first design skeleton structure based on the first performance requirement using a preset topology optimization design method.

[0103] Topology optimization design method is a mathematical method used to find the optimal material distribution scheme within a given design space to meet specific performance goals and constraints. The first design skeleton structure is a skeleton structure designed to meet the first performance requirement. This process ensures that the printed skeleton can withstand mechanical loads while achieving optimal thermal conductivity performance. Topology optimization of the skeleton structure can provide optimal stress distribution and continuous heat conduction channels.

[0104] Step 105: Print the first printing substrate according to the first designed skeleton structure using a preset 3D printing technology to form a first actual skeleton.

[0105] 3D printing technology is a process of creating three-dimensional objects by adding materials layer by layer. The first actual skeleton is a skeleton that is actually printed according to the first designed skeleton structure.

[0106] Step 106: Place the first actual skeleton into a preset first mold, and then pour concrete into the first mold.

[0107] The first mold is a mold for the user to form a wall, and the four sides of the mold are closed structures to form an area for placing concrete.

[0108] The skeleton has good thermal conductivity and mechanical properties. After printing, the skeleton is placed in the mold like a steel skeleton and concrete is poured. The pouring of concrete will solidify and wrap the phase change material skeleton, finally forming the required building component.

[0109] Reference Figure 2 , the method for generating a first designed skeleton structure based on a first performance requirement using a preset topology optimization design method includes:

[0110] Step 200: Establish an initial model based on a preset finite element analysis.

[0111] Finite Element Analysis (FEA) is a numerical simulation technique used to predict how a structure or system responds under given conditions. It approximates the solution of partial differential equations that describe the mechanical behavior, thermal conduction characteristics, electromagnetic field distribution, etc. of the system by dividing the complex physical problem into a number of simple parts, i.e. finite elements. Here, the corresponding finite element analysis software can be ANSYS.

[0112] The initial model is a preliminary model established by humans in the finite element analysis software. Here, the model is relatively regular and contains all possible design schemes.

[0113] Step 201: Topology optimization of the initial model based on the first performance requirement to obtain a joint optimization model.

[0114] The joint optimization model is a model of the optimal solution that meets the first performance requirement. The method here is to first determine an initial region containing all possible design schemes, i.e., an initial model, then set the objective function, such as minimizing the first performance requirement of the structure, then impose constraints, including stress, displacement, frequency response, and other limit conditions to ensure that the optimized design meets the actual use requirements, and finally adjust the distribution of materials in the design space through algorithms to gradually approach the optimal solution. Common topology optimization algorithms are density method, progressive structure optimization method, level set method, and variable thickness method.

[0115] Step 202: Evaluate the joint optimization model using a preset machine learning algorithm to obtain an optimization direction.

[0116] Machine learning (ML) is a technology that allows computer systems to automatically improve their performance using data without explicit programming. It is a branch of artificial intelligence (AI) that uses mathematical models to make predictions or decisions without being explicitly programmed to perform specific tasks. Common machine learning algorithms include naive Bayes algorithm and neural network algorithm. The optimization direction is the direction in which the joint model needs to be optimized. Using machine learning algorithms such as neural networks to learn the relationship between structure and performance in the data set, predict the mechanical and thermal performance of new designs, and guide the optimization direction.

[0117] Step 203: Adjust the joint optimization model based on the optimization direction until a skeleton structure model is obtained.

[0118] The skeleton structure model meets the first performance requirement.

[0119] Step 204: Generate a first design skeleton structure based on the skeleton structure model.

[0120] Reference Figure 3 The method of training the initial model to obtain the joint optimization model includes:

[0121] Step 300: Collect topology optimization data.

[0122] Topology optimization data generally refers to the input data used in the topology optimization process, intermediate results generated, and final output results. These data are crucial for successful optimization design, covering various aspects from initial condition setting to final solution evaluation, including mechanical and thermal conduction performance under corresponding structural parameters.

[0123] Step 301: Collect multi-physics coupling simulation data based on topology optimization data.

[0124] Multi-physics coupling simulation refers to the process of considering the influence of multiple interacting physical phenomena (such as structural mechanics, heat conduction, fluid dynamics, electromagnetic fields, etc.) on a system or component and conducting comprehensive analysis. Multi-physics coupling simulation data refers to the data in each dimension under the physical phenomenon.

[0125] Step 302: After cleaning and normalizing the multi-physics coupling simulation data, a dataset is constructed.

[0126] Data cleaning refers to removing or correcting errors, incomplete or irrelevant information in the dataset to improve data quality. The main purpose is to ensure the consistency and accuracy of the dataset, thereby providing a reliable basis for subsequent analysis. Normalization is a technique to adjust data of different features to the same scale, which helps to prevent features with larger numerical ranges from dominating those with smaller numerical ranges.

[0127] The dataset includes training set / validation set / test set. The training set is a subset of data used to train the model in machine learning. The validation set is used to evaluate the performance of the model during training and help select the best model or adjust hyperparameters. The test set is used to evaluate the generalization ability of the trained model on unseen data.

[0128] The data is randomly divided into three parts, which are used to train the model, adjust the hyperparameters and finally evaluate the model performance. The general proportion can be 70% / 15% / 15% or 80% / 10% / 10%, depending on the size of the data.

[0129] Step 303: Train the initial model based on the dataset to obtain the joint optimization model.

[0130] Embodiment 2

[0131] The embodiments of the present application disclose a 3D printing method of energy storage concrete. Referring to Figure 4 A 3D printing method of energy storage concrete includes:

[0132] Step 400: Obtain the second performance requirement.

[0133] The second performance requirement is the requirement for the resulting strength of the energy storage concrete and the heat storage and transfer efficiency. It is obtained by manually inputting the corresponding requirement content. Similar to step 100, it will not be repeated here.

[0134] Step 401: Generate a second design skeleton structure based on the second performance requirement using a preset topology optimization design method.

[0135] The second design framework structure is a framework structure designed to meet the second performance requirement. Similar to step 104, steps 200-303 can also be used for optimization, which will not be repeated here.

[0136] The difference between this and the first design framework structure is that the second design framework structure is hollow inside and has an injection port.

[0137] Step 402: Use the preset 3D printing technology to print the solidified resin according to the second design framework structure, and solidify it to form a second actual framework.

[0138] The second actual framework is a framework actually printed according to the second design framework structure. Unlike the first design framework, the printed substrate is only solidified resin.

[0139] Step 403: Inject the phase change material into the second actual framework.

[0140] Here, due to the packaging structure of the second actual framework, the phase change material also has a certain structural strength.

[0141] Step 404: Integrate the sensor network based on the second actual framework.

[0142] The sensor network is a network formed by laying temperature sensors, humidity sensors, and stress sensors on the framework and in the external environment. The integration method is to integrate along the direction of the second actual framework.

[0143] Here, the integration can also be integrated during the concrete pouring process to ensure stable installation of these sensors.

[0144] Step 405: Set up an external environment based on the second performance requirement, and obtain sensor network sensing data.

[0145] The external environment is an environment for testing the energy storage capacity of the wall. The sensing data is the corresponding type of data received by each sensor.

[0146] Step 406: Calculate the energy storage effect based on the sensing data and the external environment.

[0147] The energy storage effect is the effect of the phase change material's energy storage. Here, the energy storage capacity is generally first known according to the sensing data and the external environment changes, and then divided by the theoretical energy storage capacity to obtain.

[0148] Step 407: Replace the phase change material when the energy storage effect is lower than the preset requirement effect.

[0149] The demand effect is the energy storage effect required by the phase change material or the wall. When the energy storage effect is lower than the demand effect, it means that the required energy storage effect has not been achieved. Since the structure design is the optimal solution, the phase change material itself must be the cause, and therefore needs to be replaced.

[0150] Step 408: When the energy storage effect is higher than the demand effect, close the injection port of the second actual framework.

[0151] When the energy storage effect is higher than the demand effect, it means that the strength of the phase change material is good. Therefore, the injection port of the second actual framework is directly closed to prevent the phase change material inside from flowing out. A pre-printed piston can be used to close the injection port.

[0152] Step 409: Place the second actual framework into the preset second mold, and pour concrete into the second mold.

[0153] Reference Figure 5 The method for replacing the phase change material includes:

[0154] Step 500: Determine the pouring direction based on the injection port, and pour the second actual framework according to the pouring direction.

[0155] The pouring direction is the direction in which the injection port is located at the lowest position after the entire second actual framework is lifted up.

[0156] Step 501: When there is no phase change material flowing out of the injection port, detect the external dynamic environment and obtain a thermal image.

[0157] The external dynamic environment is a dynamically changing environment, and the purpose is to make the framework without phase change material and the framework with residual phase change material exhibit different temperatures. Thermal imaging is a technology that generates images by detecting the infrared radiation emitted by objects. All objects with a temperature higher than absolute zero (-273.15°C or 0K) emit infrared radiation. Thermal imaging cameras can capture these invisible infrared energies and convert them into visual images, which are thermal images.

[0158] Step 502: Determine the residual area based on the thermal image.

[0159] The residual area is the area where the phase change material remains. The determination method here is to compare with the normal thermal image without residual to obtain.

[0160] Step 503: Determine the corrected pouring direction based on any residual area.

[0161] The modified pouring direction is a direction in which the phase change material in the residual area can be poured. The pouring direction can be a direction close to the inlet selected from two directions along the pipe where the residual area is located, or can be determined by a subsequent determination method.

[0162] Step 504: Pour the second actual skeleton in the modified pouring direction until the residual area no longer exists.

[0163] Pouring the second actual skeleton in the modified pouring direction causes the residual area to gradually approach the inlet, and then continue to capture thermal imaging images, and then determine the pouring direction until the residual area corresponding to the phase change material

[0164] Step 505: When the residual area no longer exists, inject a phase change material with better performance.

[0165] When the residual area no longer exists, it means that the phase change material inside has been completely removed, and a better phase change material can be injected to replace it to achieve better heat storage effect.

[0166] Step 506: When the residual area always exists, define the residual area as a fixed residual area.

[0167] When the residual area always exists, it means that it cannot be simply removed by pouring.

[0168] Step 507: Determine the removal area and cutting position based on the fixed residual area.

[0169] The removal area is essentially the fixed residual area, that is, the area of the pipe corresponding to the fixed residual area. The cutting position is a cutting position that can remove the resin pipe corresponding to the fixed residual area together with the phase change material. The determination method is the two ends of the fixed residual area.

[0170] Step 508: Cut the cutting position and continue to capture thermal imaging images.

[0171] Here, the thermal imaging image after cutting is obtained.

[0172] Step 509: When the fixed residual area no longer exists, repair the removal area.

[0173] The purpose of the repair here is to keep the entire resin shell intact and sealed.

[0174] Reference Figure 6 , also includes an optimization method for determining the modified pouring direction, the method comprising:

[0175] Step 600: Determine an individual pouring direction based on any one residual area.

[0176] The single pouring direction is a direction selected from two directions along the pipe where the residual area is located, and the direction is close to the injection port.

[0177] Step 601: Classifying the single pouring direction based on a preset classification rule to obtain a pouring direction set.

[0178] The classification rule is a rule for how to classify, which can be 8 directions, for example: front left up, front left down, front right up, front right down, back left up, back left down, back right up, and back right down. The pouring direction set is a set of directions of the same class after classification according to the classification rule.

[0179] Step 602: Screening the pouring direction set with the largest number, and defining the pouring direction set as the first pouring direction set.

[0180] Step 603: Arbitrarily selecting one residual area in the first pouring direction set to determine the modified pouring direction.

[0181] The purpose of the selection here is that when the general direction is consistent, even if there is a slight deviation, the phase change material in the remaining several residual areas will continue to approach the injection port due to the effect of the pouring gravity, so it is most appropriate and most efficient to select one residual area in the first pouring direction set.

[0182] Reference Figure 7 The method for repairing the removed area includes:

[0183] Step 700: Determining the repair pipe structure based on the fixed residual area.

[0184] The repair pipe structure is the structure of the pipe that needs to be repaired because this section of the pipe is removed. The determination method can be to determine the size of the pipe based on the fixed residual area, and then determine based on the set inner diameter and outer diameter of the hollow pipe to obtain.

[0185] Step 701: Disassembling based on the repair pipe structure to obtain a solidified molding area and a suture area.

[0186] The solidified molding area is an area that needs to be printed and solidified before being repaired. Since the removed area may be bound up in all directions, it is likely that direct on-site printing will interfere, so it needs to be put back after external 3D printing is completed. After 3D printing is completed, a part can be solidified in advance to ensure its structural strength. The suture area is an area that can be connected to the remaining part before becoming solid after being put back into the corresponding area using the part that is still in a liquid state. The length of the suture area can be set here, for example: 1 cm in length.

[0187] Step 702: Printing the solidified resin according to the repair pipe structure using 3D printing technology.

[0188] Step 703: shield the stitched area and solidify to form a partially solidified pipe body.

[0189] The shielding manner here is mainly light shielding, and the solidifying manner is light solidification. The partially solidified pipe body is that the solidified forming area has been solidified, and the stitched area has not been solidified due to being shielded.

[0190] Step 704: solidify the stitched area after the partially solidified pipe body is placed at the extraction area to complete the repair.

[0191] Solidifying the stitched area makes the stitched area also bonded with the remaining area.

[0192] Based on the same inventive concept, the embodiment of the present application provides a 3D printing system of energy storage concrete.

[0193] With reference to Figure 8 A 3D printing system of energy storage concrete comprises:

[0194] An acquisition module is configured to acquire a first performance requirement, a second performance requirement, sensing data and a thermal imaging image.

[0195] A memory is configured to store a program of a control method of a 3D printing method of energy storage concrete.

[0196] A processor, the program in the memory can be loaded and executed by the processor, and the control method of the 3D printing method of energy storage concrete is implemented.

[0197] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example for illustration, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0198] The above are the preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in the specification (including the abstract and drawings) can be replaced by other equivalent or similar purpose replacement features, unless specifically described. That is, each feature is only an example of a series of equivalent or similar features.

Claims

1. A 3D printing method of energy storing concrete, characterized in that, The method comprises the following steps: obtaining a first performance requirement; determining a mixing ratio based on the first performance requirement; forming an adsorbed aggregate by adsorbing a phase change material on the aggregate according to the mixing ratio; mixing the adsorbed aggregate and a solidified resin according to the mixing ratio to form a first printing base material; generating a first design framework structure according to a preset topological optimization design method based on the first performance requirement; printing the first printing base material according to the first design framework structure by using a preset 3D printing technology to form a first actual framework; placing the first actual framework into a preset first mold, and then pouring concrete into the first mold; The method for generating the first design framework structure based on the first performance requirement comprises the following steps: establishing an initial model based on a preset finite element analysis; topologically optimizing the initial model based on the first performance requirement to obtain a joint optimization model; evaluating the joint optimization model by using a preset machine learning algorithm to obtain an optimization direction; adjusting the joint optimization model based on the optimization direction until a framework structure model is obtained, wherein the framework structure model meets the first performance requirement; generating the first design framework structure based on the framework structure model; The method for training the initial model to obtain the joint optimization model comprises the following steps: collecting topological optimization data; collecting multi-physical field coupling simulation data based on the topological optimization data; cleaning and normalizing the multi-physical field coupling simulation data to construct a data set; training the initial model based on the data set to obtain the joint optimization model.

2. A 3D printing method of energy storing concrete, characterized in that, The method comprises the following steps: obtaining a second performance requirement; generating a second design framework structure according to a preset topological optimization design method based on the second performance requirement, wherein the second design framework structure is internally hollow and provided with an injection port; printing the solidified resin according to the second design framework structure by using a preset 3D printing technology, and solidifying to form a second actual framework; injecting the phase change material into the second actual framework, and closing the injection port of the second actual framework; placing the second actual framework into a preset second mold, and pouring concrete into the second mold; The method for generating the second design framework structure based on the second performance requirement comprises the following steps: establishing an initial model based on a preset finite element analysis; topologically optimizing the initial model based on the second performance requirement to obtain a joint optimization model; evaluating the joint optimization model by using a preset machine learning algorithm to obtain an optimization direction; adjusting the joint optimization model based on the optimization direction until a framework structure model is obtained, wherein the framework structure model meets the second performance requirement; generating the second design framework structure based on the framework structure model; The method for training the initial model to obtain the joint optimization model comprises the following steps: collecting topological optimization data; collecting multi-physical field coupling simulation data based on the topological optimization data; cleaning and normalizing the multi-physical field coupling simulation data to construct a data set; training the initial model based on the data set to obtain the joint optimization model.

3. A method of 3D printing of energy storing concrete according to claim 2, characterized in that, Further comprising: integrating a sensor network based on the second actual framework before closing the injection port of the second actual framework; setting an external environment based on the second performance requirement, and obtaining sensing data of the sensor network; calculating the energy storage effect based on the sensing data and the external environment; replacing the phase change material when the energy storage effect is lower than the preset demand effect; sealing the injection port of the second actual framework when the energy storage effect is higher than the demand effect.

4. A method of 3D printing of energy storing concrete according to claim 3, characterized in that, The method for replacing the phase change material comprises: determining the pouring direction based on the injection port, and pouring the second actual framework according to the pouring direction; setting up the detection of the external dynamic environment when there is no phase change material flowing out of the injection port, and obtaining the thermal imaging image; determining the residual area based on the thermal imaging image; determining the modified pouring direction based on any one of the residual areas; pouring the second actual framework according to the modified pouring direction until there is no residual area; injecting the phase change material with better performance when there is no residual area.

5. A method of 3D printing of energy storing concrete according to claim 4, characterized in that, The optimization method for determining the modified pouring direction comprises: determining the individual pouring direction based on any one of the residual areas; classifying the individual pouring direction based on the preset classification rule to obtain the pouring direction set; screening the pouring direction set with the largest number, and defining the pouring direction set as the first pouring direction set; arbitrarily selecting one of the residual areas in the first pouring direction set to determine the modified pouring direction.

6. A method of 3D printing of energy storing concrete according to claim 5, characterized in that, The method further comprises: defining the residual area as the fixed residual area when the residual area always exists; determining the removal area and the cutting position based on the fixed residual area; cutting the cutting position and continuing to obtain the thermal imaging image; repairing the removal area when the fixed residual area does not exist.

7. A method of 3D printing of energy storing concrete according to claim 6, characterized in that, The method for repairing the removal area comprises: determining the repair pipe body structure based on the fixed residual area; disassembling the repair pipe body structure to obtain the solidification forming area and the suture area; printing the solidified resin according to the repair pipe body structure by using the 3D printing technology; shielding the suture area and solidifying to form the partially solidified pipe body; placing the partially solidified pipe body at the removal area and solidifying the suture area to complete the repair.

8. A 3D printing system of energy storing concrete, characterized by The method comprises: an acquisition module for acquiring the first performance demand, the second performance demand, the sensing data and the thermal imaging image; a memory for storing the program of the control method of the 3D printing method of the energy storage concrete according to any one of claims 1 to 6; a processor, the program in the memory can be loaded and executed by the processor, and the control method of the 3D printing method of the energy storage concrete according to any one of claims 1 to 6 is realized.

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