WO2022095103A1 - 一种大型三维深部复杂工程地质模型智能化3d打印方法 - Google Patents
一种大型三维深部复杂工程地质模型智能化3d打印方法 Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B1/00—Producing shaped prefabricated articles from the material
- B28B1/001—Rapid manufacturing of 3D objects by additive depositing, agglomerating or laminating of material
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B17/00—Details of, or accessories for, apparatus for shaping the material; Auxiliary measures taken in connection with such shaping
- B28B17/0063—Control arrangements
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B17/00—Details of, or accessories for, apparatus for shaping the material; Auxiliary measures taken in connection with such shaping
- B28B17/0063—Control arrangements
- B28B17/0072—Product control or inspection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B17/00—Details of, or accessories for, apparatus for shaping the material; Auxiliary measures taken in connection with such shaping
- B28B17/0063—Control arrangements
- B28B17/0081—Process control
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y10/00—Processes of additive manufacturing
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
- B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y70/00—Materials specially adapted for additive manufacturing
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y80/00—Products made by additive manufacturing
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y30/00—Apparatus for additive manufacturing; Details thereof or accessories therefor
Definitions
- the invention relates to the field of deep engineering science and technology, in particular to an intelligent 3D printing method for a large-scale three-dimensional deep complex engineering geological model.
- the geological model test method is to carry out a scale reduction test on the project development process in the laboratory to reproduce the occurrence process of engineering geological disasters. With the help of multi-information monitoring methods, it can more comprehensively and truly simulate the complex structural rock mass under the influence of human engineering activities. Deformation, rupture evolution process, and then effectively reveal the gestation and occurrence mechanism of engineering geological disasters, is an important means of deep engineering scientific research.
- the foundation of the successful geological model test lies in the accurate production of the geological model, and the key lies in the rational generalization of the complex engineering geological conditions in the field into the indoor geological model.
- the production of large-scale geological models mainly adopts manual production methods such as pouring method, layered compaction method and block stacking method.
- most of the geological bodies have faults, folds, joints, fissures and other rock mass structure planes of different types and scales.
- the above traditional model making methods can only prepare simple geological conditions such as homogeneous or layered strata.
- the model cannot meet the actual needs of accurate production of deep complex engineering geological models.
- 3D printing is a technology that builds a three-dimensional entity by stacking and accumulating discrete materials (filaments, liquids, powders, etc.) layer by layer based on digital model files.
- processes commonly used for 3D molding of geological bodies mainly include powder bonding molding, stereo light curing molding and fused deposition molding.
- the three printing technologies provide new ideas for the production of complex geological models, none of them are compatible with similar geotechnical materials composed of aggregates, binders and water, and cannot be applied to 3D molding of large-scale geological models.
- the patent [CN 110398400 A] is a 3D printing reconstruction method of a rock mass with a fissure structure and a rock mass with a fissure structure, which only realizes the 3D printing of a cylindrical sample, and the scale of the sample is small, which is in the order of centimeters.
- this method does not use geotechnical similar materials, resulting in the fundamental difference between the mechanical properties of the specimen and the rock or rock mass.
- the patent [CN108638289A] is a large-scale complex geophysical model 3D forming system. A set of large-scale complex geophysical model 3D forming machine is designed, but it does not involve the 3D fine printing process and method of complex engineering geological model.
- the technical problem to be solved by the present invention is to provide an intelligent 3D printing method for a large-scale three-dimensional deep complex engineering geological model in view of the above-mentioned shortcomings of the prior art.
- the printing nozzle is extruded and deposited layer by layer to realize the precise production of 3D printing of large-scale 3D deep complex engineering geological models.
- the technical solution adopted in the present invention is: an intelligent 3D printing method for large-scale three-dimensional deep complex engineering geological models, including three parts: preparation of similar materials for geological models, model 3D printing and model printing effect detection;
- Step 1 According to the specific engineering background, collect the complete rock mass and rock mass structure samples at the project site, and carry out indoor tests to obtain the composition information, physical parameters and mechanical parameters of the complete rock mass and rock mass structure respectively;
- Step 2 According to the measured composition information of the complete rock mass and rock mass structure, respectively determine the type and particle size range of similar material aggregates for preparing the complete rock mass and rock mass structure;
- Step 3 Based on the similarity theory, determine the geometric similarity ratio, physical similarity ratio and mechanical similarity ratio between the engineering prototype and the indoor model, and then calculate the physical and mechanical parameters of the complete rock mass and the similar materials of the rock mass structure, and select the cementing agent type ;
- Step 4 By adding admixtures, the printing performance regulation of the rock mass and the rock mass structure similar material is realized, so that the complete rock mass and the rock mass structure similar material have a reasonable initial setting time, flow performance and self-sustaining ability;
- Step 5 Carry out small-scale 3D printing experiments with different material ratios and 3D printing parameters according to the uniform design or orthogonal design test methods, and carry out physical and mechanical properties tests for the printed geological model samples of similar materials to determine their Whether the preset physical and mechanical parameters are met, if so, go to step 6; otherwise, reset the material ratio and 3D printing parameters, and then conduct a small-scale 3D printing test until the printed geological model samples of similar materials meet the preset The physical and mechanical parameters of the index;
- Step 6 Determine the ratio of similar materials and 3D printing parameters for complete rock mass and rock mass structure 3D printing that meet the preset physical and mechanical parameters;
- Step S1 according to the geological conditions of the engineering rock mass, respectively establish a three-dimensional digital model of the complete rock mass and the rock mass structure;
- Step S2 Determine the printing parameters of the complete rock mass and the rock mass structure respectively, and plan the printing paths respectively;
- Step S3 planning and generating an overall printing path of the complete rock mass and the three-dimensional digital model of the rock mass structure, realizing the matching of the complete rock mass printing path and the rock mass structure printing path, and automatically reserving the buried position of the multi-information monitoring sensor;
- the single-layer printing area of the geological model is further divided into the complete rock mass area, the rock mass structure area, the sensor embedded area and the boundary transition area where the printing paths are connected with each other.
- Different printing parameters are set in the area; among them, the layer height of the complete rock mass area and the rock mass structure area is an integer multiple; in each printing sub-area, the line width is automatically adjusted according to the geometric size of the printing area, so that the size of the printing area is equal to the width of the line.
- the planned printing path is automatically generated parallel to the long axis of the rock mass structure area; the printing parameters of the boundary transition area are adaptively adjusted; the sensor pre-embedded area is reserved in the three-dimensional digital model of the complete rock mass and rock mass structure At the pre-embedded position of the sensor, it is automatically reserved when the printing path is planned, and when printing to this position, the discharge speed and the travel speed of the print head are adaptively adjusted;
- Step S4 According to the generated printing path information, and the complexity and accuracy requirements of the three-dimensional digital model structure of the complete rock mass and rock mass structure, determine the aperture, number and combination of the printing nozzles;
- Step S5 Stir, mix and filter the complete rock mass and materials with similar structure of the rock mass in an independent silo, and transport it to each printing nozzle through a pumping device. Under the control of the 3D printing intelligent coupling control system, each printing The nozzle walks according to the printing path planned and generated in step 3 to complete the printing;
- the 3D printing intelligent coupling control system controls each nozzle to perform 3D printing, and realizes the servo intelligent control of the flow rate of similar materials, the intelligent matching of the nozzle travel speed and the flow rate of similar materials, and the self-adaptive adjustment of the temperature of the feeding system; at the same time, it controls the various printing nozzles to work together. , to complete the printing of the model body together;
- the 3D printing intelligent coupling control system actively adjusts the feeding speed of the feeding system;
- the traveling speed of the printhead is intelligently matched with the flow rate of similar materials, which means that the 3D printing intelligent coupling control system realizes the autonomous adjustment of the traveling speed of the printhead in the XYZ three directions by monitoring and controlling the speed of the printhead motor, so that the traveling speed of the printhead matches the discharge of similar materials.
- the speed is within the preset matching range;
- the temperature adaptive adjustment of the feeding system means that the 3D printing intelligent coupling control system monitors the temperature of the feeding system of the 3D printer through distributed temperature sensors.
- the temperature control starts autonomously to cool the feeding system.
- the temperature control system stops working;
- the temperature control system automatically Start, heat the feeding system, when the temperature of the feeding system rises to the set value, the temperature control system stops working;
- the said printing nozzles work together, which means that different printing sub-regions of the three-dimensional digital model of the complete rock mass and rock mass structure are selected to select printing nozzles of different types and different apertures; each nozzle has an independent feeding and nozzle walking control system; Through the intelligently planned printing path, multiple independently controlled nozzles can cooperate with each other to complete the overall printing of the model;
- the surrounding boundary, rock mass structure and sensor placement position of each printing layer are located by the laser, so as to realize the real-time monitoring of the printing layer boundary, rock mass structure and sensor boundary position during the printing process;
- the intelligent 3D printing method for a large-scale three-dimensional deep complex engineering geological model of the present invention can realize the precise production of 3D printing of a large-scale three-dimensional deep complex engineering geological model, and the porosity, strength, deformation, brittleness, ductility and other physical mechanics of the model body can be realized.
- the parameters and properties are adjustable and controllable. Equipped with a 3D printing intelligent coupling control system, it can realize the self-adaptive adjustment of the flow rate of similar materials, the running speed of the nozzle and the temperature of the feeding system, so as to complete the 3D fine printing of the complex rock structure inside the model body. It has the functions of collaborative work between multiple printing nozzles, intelligent planning of printing paths, and accurate synchronous pre-embedding of sensor equipment. At the same time, a systematic detection and evaluation method is established for the printing effect of the internal structural surface of the model, the physical and mechanical properties of the complete rock mass and various rock mass structures.
- the intelligent 3D printing method for large-scale three-dimensional deep complex engineering geological models provided by the present invention can realize the preparation of similar materials for geological models suitable for 3D printing technology, considering printing parameters (layer height) , line width, line angle between layers, etc.) on the properties of the model, the printed model can achieve the expected porosity, strength, elastic modulus, brittleness index and other physical and mechanical parameters. It has the function of intelligent planning of the printing path.
- the printing process is controlled by the 3D printing intelligent coupling control system, which can realize the intelligent control of the flow rate of similar materials, the self-adaptive adjustment of the running speed of the nozzle and the temperature of the nozzle, the intelligent cooperation of multiple printing nozzles, and the precise synchronization of sensors. and other innovative features. It can realize the comprehensive inspection and evaluation of the internal structure printing effect of the model body and the physical and mechanical properties of the complete rock mass and various rock mass structures.
- Fig. 1 is the flow chart of the preparation process of the geological model similar material provided by the embodiment of the present invention
- Figure 2 is a graph of the effect of additives on the initial setting time and flow rate of similar materials obtained through testing provided by the embodiment of the present invention, wherein (a) is the effect of additives on the initial setting time of similar materials, and (b) is the effect of additives on the initial setting time of similar materials.
- FIG. 3 is a schematic diagram of a 3D printing process and printing parameters provided by an embodiment of the present invention, wherein (a) is a schematic diagram of a single-layer printing process, and (b) is a schematic diagram of a planned path for the upper and lower layers of the printing process;
- FIG. 5 is a schematic diagram of the principle of intelligent planning of a 3D printing process path according to an embodiment of the present invention.
- FIG. 6 is a schematic diagram of an intelligent coupling control principle of a 3D printing process provided by an embodiment of the present invention.
- FIG. 7 is a schematic diagram of the implementation principle of a 3D printing method for a large-scale three-dimensional deep complex engineering geological model according to an embodiment of the present invention.
- FIG. 8 is a schematic diagram of the detection and evaluation of the printing effect of a geological model provided by an embodiment of the present invention, wherein (a) is the nth layer of the geological model, (b) is the n+1th layer of the geological model, and (c) is the geological model body.
- 3-1 printing path; 3-2, line width; 3-3, printing nozzle; 3-4, layer height; 3-5, upper layer; 3-6, lower layer; 3-7, line between layers Included angle; 5-1, complete rock mass area; 5-2, boundary transition area; 5-3, rock mass structure area; 5-4, sensor pre-embedded area; 7-1, computer; 7-2, PLC control cabinet; 7-3, feeding bin; 7-4, spraying machine; 7-5, pressure sensor; 7-6, flow sensor; 7-7, temperature sensor; 7-8, temperature control device; 7-9, Solenoid valve air pump; 7-10, air filter device; 7-11, barrel; 7-12, XYZ motor; 7-13, print head 1; 7-14, print head 2; 8-0, laser; 8 -1, model internal structure 1; 8-2, model internal structure 2; 8-3, vertical micro-drilling; 8-4, lateral micro-drilling; 8-5, endoscope; 8-6, cylindrical test Sample; 8-6, cuboid sample.
- This example takes a deep underground laboratory as the engineering background, collects complete marble samples and rock mass structure samples such as faults on site, and uses the intelligent 3D printing method of the large-scale three-dimensional deep complex engineering geological model of the present invention to print the engineering geology Model.
- an intelligent 3D printing method for a large-scale three-dimensional deep complex engineering geological model includes three parts: preparation of similar materials for geological models, model 3D printing, and model printing effect detection;
- Step 1 According to the specific engineering background, collect samples of the complete rock mass and rock mass structure (faults, folds) at the project site, and carry out indoor tests to obtain the composition information (mineral composition, compound type, particle size), physical parameters (density, porosity) and mechanical parameters (strength, elastic modulus, cohesion, internal friction angle);
- Step 2 According to the measured composition information of the complete rock mass and rock mass structure, respectively determine the type and particle size range of similar material aggregates for preparing the complete rock mass and rock mass structure;
- Step 3 Based on the similarity theory, determine the geometric similarity ratio, physical similarity ratio and mechanical similarity ratio between the engineering prototype and the indoor model, and then calculate the physical and mechanical parameters of the complete rock mass and the similar materials of the rock mass structure, and select the cementing agent type ;
- complete marble samples and rock mass structural samples such as faults are collected on site for indoor testing, and similar materials for 3D printing are prepared.
- preparation method of a similar material for 3D printing of a complete marble sample is used as an example to illustrate.
- the test results show that the main mineral types of the intact marble sample are dolomite and calcite, and the main compound types are magnesium oxide, calcium oxide and silicon dioxide; the average particle size is 72 ⁇ m, the density is 2.8 g/cm 3 , and the uniaxial resistance is The compressive strength is 190MPa, and the elastic modulus is 60GPa.
- the aggregate types of the marble were determined to be 380 ⁇ m calcite sand, 150 ⁇ m dolomite sand and 45 ⁇ m calcite powder.
- the geometric similarity ratio is determined to be 1:35.
- the density of similar materials is consistent with the original rock, which is 2.8g/cm 3 , so the mechanical similarity ratio is also 1:35.
- the physical and mechanical parameters of the similar materials of the complete rock mass in the geological model to be printed can be calculated as follows: the uniaxial compressive strength is 5.4MPa, and the elastic modulus is 1.7GPa. At the same time, hemihydrate gypsum and Portland cement were selected as cementing agents.
- Step 4 By adding admixtures, the printing performance regulation of the rock mass and the rock mass structure similar material is realized, so that the complete rock mass and the rock mass structure similar material have a reasonable initial setting time, flow performance and self-sustaining ability;
- the reasonable initial setting time means that the rock mass and the structurally similar materials will neither solidify prematurely during the printing process, causing blockage of the conveying pipeline, nor will they not solidify for a long time, causing the underlying printing model to be insufficient to support the gradual increase of the upper layer.
- the weight of the model will cause the deformation of the model due to its own weight;
- the flow performance means that the rock mass and the structurally similar material maintain a stable extrusion rate under a certain driving pressure, and there will be no bleeding phenomenon of solid-liquid separation, so as to ensure
- the material can be continuously extruded and built up;
- the self-sustaining capability refers to the ability of the material to maintain its shape after being extruded and to withstand the progressively increasing weight of the upper layer.
- Step 5 Carry out small-scale 3D printing experiments with different material ratios (aggregate and binder) and 3D printing parameters (layer height, line width, line angle between layers, etc.) according to the uniform design or orthogonal design test methods , Carry out physical and mechanical property tests for the printed geological model samples of similar materials to determine whether they meet the preset physical and mechanical parameters, if so, go to step 6, otherwise reset the material ratio and 3D printing parameters Then, small-scale 3D printing experiments are carried out until the printed samples of the geological model of similar materials meet the preset physical and mechanical parameters;
- Step 6 Determine the ratio of similar materials and 3D printing parameters for complete rock mass and rock mass structure 3D printing that meet the preset physical and mechanical parameters;
- control parameters include: the ratio of aggregate to binder, the ratio of gypsum to cement, and the ratio of layer height to sample height , the ratio of the line width to the sample width, the angle between the layers of the printed lines, etc., the printing parameters (layer height, line width, line angle between the layers, etc.) are shown in Figure 3, and the uniform design test plan is shown in Table 1.
- Physical and mechanical properties tests are carried out for the printed samples of similar materials to determine whether they meet the preset physical and mechanical parameters. If it is not satisfied, re-adjust the material ratio and printing parameters to carry out the test. If it is satisfied, then determine the ratio of similar materials for 3D printing of complete rock mass and reasonable 3D printing parameters that meet the preset physical and mechanical parameter indicators.
- the preparation process of similar rock mass materials such as faults and folds is the same as that of the complete rock mass.
- Step S1 according to the geological conditions of the engineering rock mass, respectively establish a three-dimensional digital model of the complete rock mass and the rock mass structure;
- Step S2 Determine the printing parameters (layer height, line width, line angle between layers, etc.) of the complete rock mass and rock mass structure respectively, and plan the printing paths respectively;
- Step S3 planning and generating an overall printing path of the complete rock mass and the three-dimensional digital model of the rock mass structure, realizing the matching of the complete rock mass printing path and the rock mass structure printing path, and automatically reserving the buried position of the multi-information monitoring sensor;
- the single-layer printing area of the geological model is further divided into the complete rock mass area 5-1 and the rock mass structure area 5-3 with the printing paths connected to each other as shown in Figure 5.
- sensor pre-embedded area 5-4 and boundary transition area 5-2 each sub-area is set with different printing parameters (line width, layer height, line angle between layers, nozzle travel speed, discharge speed, etc.);
- the layer heights of the rock mass area and the rock mass structure area are in an integer multiple relationship, so that the printing layer heights can be matched;
- the line width is automatically adjusted according to the geometric size of the printing area, so that the printing area size is an integer multiple of the line width;
- the planned printing path is automatically generated parallel to the long axis of the rock mass structure area, keeping the longest straight trajectory as much as possible, reducing the number of "pauses" of the nozzle;
- the printing parameters of the boundary transition area are adaptively adjusted to facilitate rapid solidification molding, such as increasing the nozzle
- the sensor pre-embedded area is the sensor pre-embedded position reserved in the three-dimensional digital model of the complete rock mass and rock mass structure, which is automatically reserved when the printing path is planned, and when printing to this position, the discharge speed and the nozzle travel speed All are adaptively adjusted to ensure the printing accuracy control of the reserved position.
- Step S4 It is judged whether the printing path of the complete rock mass generated by the planning matches the printing path of the rock mass structure, and whether the printing parameters match. If they are all matched, the aperture, number and combination of printing nozzles are determined according to the generated printing path information and the complexity and accuracy requirements of the rock mass model structure. Otherwise, re-plan the overall printing path for generating the 3D digital model of the complete rock mass and rock mass structure;
- Step S5 Stir, mix and filter the complete rock mass and materials with similar structure of the rock mass in an independent silo, and transport it to each printing nozzle through a pumping device. Under the control of the 3D printing intelligent coupling control system, each printing The nozzle walks according to the printing path planned and generated in step 3 to complete the printing;
- the 3D printing intelligent coupling control system controls each nozzle to perform 3D printing, and realizes the servo intelligent control of the flow rate of similar materials, the intelligent matching of the nozzle travel speed and the flow rate of similar materials, and the self-adaptive adjustment of the temperature of the feeding system; at the same time, it controls the various printing nozzles to work together. , to complete the printing of the model body together, as shown in Figures 6 and 7;
- the said similar material flow rate servo intelligent control means that the 3D printing intelligent coupling control system is based on the computer 7-1 and the PLC 7-2 through the pipeline pressure sensor 7-5 and the similar material flow rate sensor 7-6 to obtain a connection with the printing nozzle.
- the real-time flow status information of similar materials in the feeding pipeline when the deviation between the monitoring value and the set value of the current printing path is greater than the set threshold, the 3D printing intelligent coupling control system actively adjusts the feeding speed of the feeding system. In order to adjust the speed of the spraying machine to ensure that the fluctuation of the flow rate of similar materials is within the allowable range of the set value, so that the material extrusion volume is consistent, and a stable shape can be maintained to improve the printing accuracy.
- the traveling speed of the printhead is intelligently matched with the flow rate of similar materials, which means that the 3D printing intelligent coupling control system realizes the autonomous adjustment of the traveling speed of the printhead in the three directions of XYZ by monitoring and controlling the speed of the printhead motor 7-12, so that the traveling speed of the printhead is similar to that of the printhead.
- the material discharge speed is within the preset matching range; when the nozzle travel speed increases or decreases, the discharge speed of similar materials also increases or decreases accordingly.
- the walking speed of the nozzle automatically decreases, and at the same time, the system actively reduces the discharge speed of similar materials to avoid the phenomenon of "stacking".
- the running speed of the nozzle When printing to the internal position of the model, the running speed of the nozzle will automatically increase, and at the same time, the system will actively increase the discharge speed of similar materials to improve the printing efficiency and avoid the phenomenon of "material shortage".
- the walking speed of the nozzle is adjusted adaptively. For example, due to the instability of the feeding system during the printing process, the discharge speed of similar materials is reduced. At this time, the system automatically reduces the travel speed of the nozzle to avoid the phenomenon of "material shortage”.
- the discharge speed of similar materials increases, the system actively increases the walking speed of the nozzle to avoid the phenomenon of "stacking".
- the temperature adaptive adjustment of the feeding system means that the 3D printing intelligent coupling control system monitors the temperature of the feeding system of the 3D printer through the distributed temperature sensors 7-7.
- the temperature control device 7-8 starts autonomously to cool the feeding system.
- the temperature control device 7-8 stops working; when the ambient temperature is too low, the temperature of the feeding system is lower than
- the temperature control device 7-8 starts autonomously to heat the feeding system.
- the temperature control device 7-8 stops working;
- the material system and similar materials are in a stable temperature range, which reduces the influence on the fluidity and solidification time of similar materials.
- the cooperation of the printing nozzles refers to the selection of printing nozzles 7-13 and 7-14 of different types and apertures for different printing sub-regions of the three-dimensional digital model of the complete rock mass and rock mass structure; each nozzle has an independent Feeding and nozzle travel control system; through the intelligently planned printing path, multiple independently controlled nozzles can cooperate with each other to complete the overall printing of the model;
- the laser 8-0 is used to locate the surrounding boundary, rock mass structure and sensor placement position of each printing layer, so as to realize the real-time monitoring of the printing layer boundary, rock mass structure and sensor boundary position during the printing process, as shown in the figure. 8(a), 8(b);
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Abstract
一种大型三维深部复杂工程地质模型智能化3D打印方法,首先通过工程现场完整岩体及岩体结构试样及工程原型与室内模型间的相似比,确定完整岩体与岩体结构相似材料的物理、力学参数,选取胶结剂;并开展不同材料配比与3D打印参数下的小尺度3D打印试验,确定满足预设物理、力学参数指标的完整岩体与岩体结构3D打印相似材料配比及3D打印参数;再建立完整岩体和岩体结构的三维数字模型并规划打印路径(3-1),确定打印喷头(3-3)的孔径、数量及组合形式;将完整岩体及岩体结构相似材料输送至各打印喷头(3-3),在3D打印智能耦合控制系统控制下,各打印喷头(3-3)按规划生成的打印路径(3-1)行走,完成打印;最后对模型打印效果进行检测。
Description
本发明涉及深部工程科学技术领域,尤其涉及一种大型三维深部复杂工程地质模型智能化3D打印方法。
随着全球范围内地下工程建设与能源、资源开发不断向深部发展,且工程规模不断增大,工程建设与运营所面临的地质条件日趋复杂,由此诱发的各类工程地质灾害频繁,严重威胁着人员设备安全和施工进度。
地质模型试验方法是在实验室内对工程开展过程进行缩尺还原试验,再现工程地质灾害的发生过程,借助多元信息监测手段,能够比较全面、真实地模拟人类工程活动影响下的复杂结构岩体变形、破裂演化过程,进而有效地揭示工程地质灾害的孕育与发生机理,是深部工程科学问题研究的重要手段。
地质模型试验成功开展的基础在于地质模型的精准制作,关键在于将现场复杂的工程地质条件合理概化到室内地质模型中。当前,大型地质模型的制作主要采用浇筑法、分层夯实法以及块体堆砌法等人工制作方法。实际工程中,绝大部分地质体发育有断层、褶皱、节理、裂隙等不同类型、不同尺度的岩体结构面,而上述传统的模型制作方法仅能制备均质或层状地层等简单地质条件的模型,无法满足深部复杂工程地质模型精准制作的实际需求。
近年来,3D打印技术的兴起使得制作复杂结构三维模型成为现实。3D打印是一种以数字模型文件为基础,运用离散性材料(丝状、液体、粉末等)逐层堆叠累积的方式来构造三维实体的技术。目前,常用于地质体3D成型的工艺主要有粉末黏结成型、立体光固化成型和熔融沉积成型。虽然三种打印技术为复杂地质模型制作提供了新的思路,但均无法与由骨料、胶结剂及水等组成的岩土类相似材料兼容,无法适用于大型地质模型的3D成型。如,专利[CN 110398400 A]一种裂隙结构岩体的3D打印重构方法及裂隙结构岩体,仅实现了圆柱试样的3D打印,试样尺度较小,为厘米级。此外,该方法并非使用岩土类相似材料,导致试样力学性质与岩石或岩体有本质区别。专利[CN108638289A]一种大型复杂地质物理模型3D成型系统设计了一套大型复杂地质物理模型3D成型机,但未涉及复杂工程地质模型3D精细打印流程与方法。综上所述,在大型三维深部复杂工程地质模型3D打印方面:1)缺少基于3D打印技术的地质模型相似材料制备方法,特别是针对深部工程岩体高强度、高脆性、脆-延转换等力学特性,以及3D成型工艺对材料性能的要求。未探究打印参数对材料成型后物理力学性质的影响,无法评估3D成型工艺对模型性能的调控。2)缺少3D打印过程的智能控制方法,相似材料流速、喷头行走速度、供料系统温度等无法精准控制。多喷头协同工作、打印路径智能规划及传感设备的精准同步预埋等尚未涉及,进而导致无法实现大型地质模型复杂岩体结构的精细化3D打印。3)缺少系统的大型3D打印地质模型检测与评价方法,无法完成模型内部结构的打印效果,及打印模型体物理、力学性质的检测与评价等工作。
本发明要解决的技术问题是针对上述现有技术的不足,提供一种大型三维深部复杂工程地质模型智能化3D打印方法, 依据原岩及岩体结构的物理力学性质选择合适的打印材料,通过打印喷头逐层挤出沉积成型,实现大型三维深部复杂工程地质模型的3D打印精准制作。
为解决上述技术问题,本发明所采取的技术方案是:一种大型三维深部复杂工程地质模型智能化3D打印方法,包括地质模型相似材料制备、模型3D打印及模型打印效果检测三部分;
所述地质模型相似材料制备的具体方法为:
步骤1:根据具体工程背景,采集工程现场完整岩体及岩体结构试样,并开展室内测试,分别获得完整岩体和岩体结构的成分信息、物理参数和力学参数;
步骤2:根据测得的完整岩体及岩体结构的成分信息,分别确定制备完整岩体与岩体结构的相似材料骨料种类及粒径区间;
步骤3:基于相似理论,确定工程原型与室内模型间的几何相似比、物理相似比及力学相似比,并据此计算完整岩体与岩体结构相似材料的物理、力学参数,选取胶结剂类型;
步骤4:通过添加外加剂,实现岩体与岩体结构相似材料的打印性能调控,使得完整岩体与岩体结构相似材料具备合理的初凝时间、流动性能和自持能力;
步骤5:依据均匀设计或正交设计试验方法,开展不同材料配比与3D打印参数下的小尺度3D打印试验,针对打印出的相似材料地质模型试样,开展物理、力学性质测试,判定其是否满足预设的物理、力学参数指标,如果符合则执行步骤6,否则重新设定材料配比和3D打印参数再进行小尺度3D打印试验,直至打印出的相似材料地质模型试样满足预设的物理、力学参数指标;
步骤6:确定满足预设物理、力学参数指标的完整岩体与岩体结构3D打印相似材料配比及3D打印参数;
所述模型3D打印的具体方法为:
步骤S1:根据工程岩体地质条件,分别建立完整岩体和岩体结构的三维数字模型;
步骤S2:分别确定完整岩体和岩体结构的打印参数,并分别规划打印路径;
步骤S3:规划生成完整岩体和岩体结构三维数字模型的整体打印路径,实现完整岩体打印路径与岩体结构打印路径的匹配,并自动预留多元信息监测传感器的埋设位置;
根据完整岩体和岩体结构的三维数字模型,将地质模型的单层打印区域进一步划分为打印路径相互衔接的完整岩体区、岩体结构区、传感器预埋区和边界过渡区,各子区域设置不同的打印参数;其中,完整岩体区与岩体结构区的层高呈整数倍关系;各打印子区域内,线条宽度根据打印区域几何尺寸自动调整,使得打印区域尺寸为线条宽度的整数倍;规划的打印路径自动平行于岩体结构区长轴生成;边界过渡区的打印参数自适应调节;所述传感器预埋区为完整岩体和岩体结构的三维数字模型中预留的传感器预埋位置处,打印路径规划时自动留出,且打印至该位置时,出料速度及喷头行走速度均自适应调节;
步骤S4:根据生成的打印路径信息,及完整岩体与岩体结构的三维数字模型结构的复杂程度与精度要求,确定打印喷头的孔径、数量及组合形式;
步骤S5:将完整岩体及岩体结构相似材料,在独立的料仓中搅拌、混合、过滤,并通过泵送装置输送至各打印喷头处,在3D打印智能耦合控制系统控制下,各打印喷头按照步骤3规划生成的打印路径行走,完成打印;
所述3D打印智能耦合控制系统控制各喷头进行3D打印,实现相似材料流速伺服智能控制、喷头行走速度与相似材料流速智能匹配以及供料系统温度自适应调节;同时,控制各打印喷头协同配合工作,共同完成模型体的打印;
所述相似材料流速伺服智能控制,是指3D打印智能耦合控制系统通过管路压力传感器、相似材料流速传感器,获得与打印喷头相连接的输料管路内相似材料的实时流动状态信息,当监测值与当前打印路径的设定值的偏差大于设定阈值时,3D打印智能耦合控制系统主动调节供料系统的供料速度;
所述喷头行走速度与相似材料流速智能匹配,是指3D打印智能耦合控制系统通过监测与控制喷头电机转速,实现打印喷头在XYZ三方向行走速度的自主调节,使得喷头行走速度与相似材料出料速度处于预设的匹配区间内;
所述供料系统温度自适应调节,是指3D打印智能耦合控制系统通过分布式温度传感器,监测3D打印机供料系统温度,当供料系统温度超过设定值,并达到调整阈值时,温控系统自主启动,对供料系统进行冷却,当供料系统温度降至设定值时,温控系统停止工作;当供料系统温度低于设定值,并达到调整阈值时,温控系统自主启动,对供料系统进行加热,当供料系统温度升至设定值时,温控系统停止工作;
所述打印喷头协同工作,是指针对完整岩体和岩体结构的三维数字模型不同的打印子区域,选择不同类型、不同孔径的打印喷头;每个喷头具备独立的供料及喷头行走控制系统;通过智能规划的打印路径,实现多个独立控制的喷头相互协同完成模型的整体打印;
所述模型打印效果检测的具体方法为:
(1)模型3D打印过程中,通过激光器定位每一个打印层的四周边界、岩体结构及传感器布设位置,实现打印过程中打印层边界、岩体结构及传感器边界位置的实时监测;
(2)地质模型体打印完成后,沿模型竖向和侧向布置若干组微细钻孔,采用内窥镜,进行孔内窥视,检测指定位置处的结构打印效果,从而完成模型内部结构的空间位置实现情况检测;
(3)地质模型体打印完成后,在模型不同位置、沿不同方向取岩体和岩体结构试样,开展物理、力学性质测试,检测相关性质是否达到预设参数指标。
本发明的一种大型三维深部复杂工程地质模型智能化3D打印方法,能够实现大型三维深部复杂工程地质模型的3D打印精准制作,且模型体的孔隙度、强度、变形、脆性、延性等物理力学参数与性质可调可控。具备3D打印智能耦合控制系统,可实现相似材料流速、喷头行走速度及供料系统温度的自适应调节,以完成模型体内部复杂岩体结构的3D精细打印制作。具备多打印喷头之间协同工作,打印路径智能规划及传感器设备的精准同步预埋功能。同时,针对模型内部结构面打印效果,完整岩体及多种岩体结构的物理、力学性质建立了系统的检测与评价方法。
采用上述技术方案所产生的有益效果在于:本发明提供的一种大型三维深部复杂工程地质模型智能化3D打印方法,能够实现适用于3D打印工艺的地质模型相似材料制备,考虑打印参数(层高、线条宽度、层间线条夹角等)对模型性质的影响,打印模型可实现预期的孔隙度、强度、弹性模量、脆性指数等多种物理力学参数指标。具备打印路径智能规划功能,打印过程由3D打印智能耦合控制系统控制完成,可实现相似材料流速伺服智能控制、喷头行走速度、喷头温度自适应调节,多打印喷头智能协同工作,传感器精准同步预埋等创新性功能。可实现模型体内部结构打印效果及完整岩体与多种岩体结构的物理、力学性质的综合检验与评价。
图1为本发明实施例实提供的地质模型相似材料制备过程的流程图;
图2为本发明实施例提供的通过测试获得的添加剂对相似材料初凝时间与流速的影响结果图,其中,(a)为添加剂对相似材料初凝时间的影响,(b)为添加剂对相似材料流速的影响;
图3为本发明实施例提供的3D打印过程与打印参数的示意图,其中,(a)为单层打印过程示意图,(b)为上下层打印过程规划路径示意图;
图4为本发明实施例提供的模型3D打印的流程图;
图5为本发明实施例提供的3D打印过程路径智能规划原理示意图;
图6为本发明实施例提供的3D打印过程智能耦合控制原理示意图;
图7为本发明实施例提供的一种大型三维深部复杂工程地质模型3D打印方法的实施原理示意图;
图8为本发明实施例提供的地质模型打印效果检测与评价示意图,其中,(a)为地质模型的第n层,(b)为地质模型的第n+1层,(c)为地质模型体。
图中:3-1、打印路径; 3-2、线宽;3-3、打印喷头;3-4、层高;3-5、上层;3-6、下层;3-7、层间线条夹角;5-1、完整岩体区;5-2、边界过渡区;5-3、岩体结构区;5-4、传感器预埋区;7-1、计算机;7-2、PLC控制柜;7-3、供料仓;7-4、喷涂机;7-5、压力传感器;7-6、流量传感器;7-7、温度传感器;7-8、温控装置;7-9、电磁阀气泵;7-10、空气滤除装置;7-11、料筒;7-12、XYZ电机;7-13、打印喷头1;7-14、打印喷头2;8-0、激光器;8-1、模型内部结构1;8-2、模型内部结构2;8-3、竖向微细钻孔;8-4、横向微细钻孔;8-5、内窥镜;8-6、圆柱试样;8-6、长方体试样。
下面结合附图和实施例,对本发明的具体实施方式作进一步详细描述。以下实施例用于说明本发明,但不用来限制本发明的范围。
本实施例以某深埋地下实验室为工程背景,采集现场完整大理岩试样及断层等岩体结构试样,采用本发明的大型三维深部复杂工程地质模型智能化3D打印方法打印该工程地质模型。
本实施例中,一种大型三维深部复杂工程地质模型智能化3D打印方法,包括地质模型相似材料制备、模型3D打印及模型打印效果检测三部分;
所述地质模型相似材料制备如图1所示,具体方法为:
步骤1:根据具体工程背景,采集工程现场完整岩体及岩体结构(断层、褶皱)试样,并开展室内测试,分别获得完整岩体及岩体结构的成分信息(矿物组成、化合物种类、颗粒尺寸)、物理参数(密度、孔隙度)和力学参数(强度、弹性模量、粘聚力、内摩擦角);
步骤2:根据测得的完整岩体及岩体结构的成分信息,分别确定制备完整岩体与岩体结构的相似材料骨料种类及粒径区间;
步骤3:基于相似理论,确定工程原型与室内模型间的几何相似比、物理相似比及力学相似比,并据此计算完整岩体与岩体结构相似材料的物理、力学参数,选取胶结剂类型;
本实施例采集现场完整大理岩试样及断层等岩体结构试样开展室内测试,制备3D打印相似材料。本实施例以完整大理岩试样的3D打印相似材料制备方法为例进行说明。测试结果显示,完整大理岩试样的主要矿物类型为白云石与方解石,主要化合物类型为氧化镁、氧化钙与二氧化硅;平均粒径为72μm,密度为2.8g/cm
3,单轴抗压强度为190MPa,弹性模量60GPa。基于测得的矿物、化学及粒度成分信息,确定大理岩的骨料种类为380μm方解石砂、150μm白云石砂和45μm方解石粉。基于相似理论,考虑现场洞室尺寸与实际模拟洞室尺寸的比例关系,确定几何相似比为1:35。相似材料密度与原岩保持一致,为2.8g/cm
3,因此力学相似比也为1:35。据此可计算出待打印地质模型中完整岩体相似材料的物理、力学参数分别为:单轴抗压强度为5.4MPa,弹性模量为1.7GPa。同时,选取半水石膏与硅酸盐水泥作为胶结剂。
选取葡萄糖酸钠作为缓凝剂,羟丙基甲基纤维素作为保水剂,测试不同添加量下的初凝时间与流速演化,调控相似材料的打印性能,使得材料具备合理的初凝时间、流动性能和自持能力,如图2所示,为室温条件下(20℃),500g相似材料中缓凝剂添加量与其初凝时间的变化趋势;室温条件下(20℃),500g相似材料中添加0.4g缓凝剂、0.8g保水剂时的材料流速随时间变化趋势。
步骤4:通过添加外加剂,实现岩体与岩体结构相似材料的打印性能调控,使得完整岩体与岩体结构相似材料具备合理的初凝时间、流动性能和自持能力;
所述合理的初凝时间是指岩体与结构相似材料在打印过程中既不会过早固化,造成输送管路堵塞,也不会长时间不固化,造成底层打印模型不足以支撑上层逐渐增加的重量,而导致模型因自重变形;所述流动性能是指岩体与结构相似材料在一定的驱动压力下,保持稳定的挤出速率,同时不会出现固液分离的泌水现象,以保证材料能够被持续挤出并堆积成型;所述自持能力是指材料被挤出后能够保持其形状并承受上层逐渐增加重量的能力。
步骤5:依据均匀设计或正交设计试验方法,开展不同材料配比(骨料与胶结剂)与3D打印参数(层高、线条宽度、层间线条夹角等)下的小尺度3D打印试验,针对打印出的相似材料地质模型试样,开展物理、力学性质测试,判定其是否满足预设的物理、力学参数指标,如果符合则执行步骤6,否则重新设定材料配比和3D打印参数再后进行小尺度3D打印试验,直至打印出的相似材料地质模型试样满足预设的物理、力学参数指标;
步骤6:确定满足预设物理、力学参数指标的完整岩体与岩体结构3D打印相似材料配比及3D打印参数;
本实施例依据均匀设计方法,开展不同材料配比与打印参数下的小尺度3D打印试验,控制参数包括:骨料与胶结剂之比,石膏与水泥之比,层高与试样高度之比,线条宽度与试样宽度之比,打印线条层间夹角等,打印参数(层高、线条宽度、层间线条夹角等)如图3所示,均匀设计试验方案如表1所示。针对打印出的相似材料试样,开展物理、力学性质测试,判定其是否满足预设的物理、力学参数指标。如果不满足,则重新调整材料配比与打印参数,开展试验。如果满足,则确定出满足预设物理、力学参数指标的完整岩体3D打印相似材料配比及合理的3D打印参数。断层、褶皱等岩体结构相似材料的制备流程与完整岩体相同。
表1不同材料配比与打印参数的均匀设计试验方案
| No | 石膏:水泥 | (方解石砂+白云石砂):(水泥+石膏) | 层高:试样高度 | 线宽:试样宽度 | 层间夹角(°) |
| 1 | 1.155 | 2.13 | 0.015 | 0.030 | 72 |
| 2 | 1.193 | 2.38 | 0.021 | 0.046 | 48 |
| 3 | 1.231 | 2.63 | 0.010 | 0.028 | 24 |
| 4 | 1.269 | 2.03 | 0.016 | 0.044 | 0 |
| 5 | 1.307 | 2.28 | 0.022 | 0.026 | 78 |
| 6 | 1.345 | 2.53 | 0.011 | 0.042 | 54 |
| 7 | 1.383 | 1.93 | 0.017 | 0.024 | 30 |
| 8 | 1.421 | 2.18 | 0.023 | 0.040 | 6 |
| 9 | 1.459 | 2.43 | 0.012 | 0.022 | 84 |
| 10 | 1.497 | 2.68 | 0.018 | 0.038 | 60 |
| 11 | 1.535 | 2.08 | 0.024 | 0.020 | 36 |
| 12 | 1.573 | 2.33 | 0.013 | 0.036 | 12 |
| 13 | 1.611 | 2.58 | 0.019 | 0.018 | 90 |
| 14 | 1.649 | 1.98 | 0.025 | 0.034 | 66 |
| 15 | 1.687 | 2.23 | 0.014 | 0.016 | 42 |
| 16 | 1.725 | 2.48 | 0.020 | 0.032 | 18 |
所述模型3D打印如图4所示,具体方法为:
步骤S1:根据工程岩体地质条件,分别建立完整岩体和岩体结构的三维数字模型;
步骤S2:分别确定完整岩体和岩体结构的打印参数(层高、线条宽度、层间线条夹角等),并分别规划打印路径;
步骤S3:规划生成完整岩体和岩体结构三维数字模型的整体打印路径,实现完整岩体打印路径与岩体结构打印路径的匹配,并自动预留多元信息监测传感器的埋设位置;
根据完整岩体和岩体结构的三维数字模型,将地质模型的单层打印区域进一步划分为如图5所示的打印路径相互衔接的完整岩体区5-1、岩体结构区5-3、传感器预埋区5-4和边界过渡区5-2,各子区域设置不同的打印参数(线宽、层高、层间线条夹角、喷头行走速度、出料速度等);其中,完整岩体区与岩体结构区的层高呈整数倍关系,使得打印层高可以匹配;各打印子区域内,线条宽度根据打印区域几何尺寸自动调整,使得打印区域尺寸为线条宽度的整数倍;规划的打印路径自动平行于岩体结构区长轴生成,尽可能保持直线轨迹最长,减少喷头“顿停”次数;边界过渡区的打印参数自适应调节为有利于快速凝固成型,如提高喷头温度,以保证不同打印子区域交界面的几何精度与融合效果。此外,通过路径智能规划,保证各子区域间的路径能够顺利衔接,尽可能减少空行程及中断次数,以提高成型精度与效率。所述传感器预埋区为完整岩体和岩体结构的三维数字模型中预留的传感器预埋位置处,打印路径规划时自动留出,且打印至该位置时,出料速度及喷头行走速度均自适应调节,以保证预留位置的打印精度控制。
步骤S4:判断规划生成的完整岩体与岩体结构的打印路径是否匹配,打印参数是否匹配。若均匹配,则根据生成的打印路径信息,及岩体模型结构的复杂程度与精度要求,确定打印喷头的孔径、数量及组合形式。否则,重新规划生成完整岩体和岩体结构三维数字模型的整体打印路径;
步骤S5:将完整岩体及岩体结构相似材料,在独立的料仓中搅拌、混合、过滤,并通过泵送装置输送至各打印喷头处,在3D打印智能耦合控制系统控制下,各打印喷头按照步骤3规划生成的打印路径行走,完成打印;
所述3D打印智能耦合控制系统控制各喷头进行3D打印,实现相似材料流速伺服智能控制、喷头行走速度与相似材料流速智能匹配以及供料系统温度自适应调节;同时,控制各打印喷头协同配合工作,共同完成模型体的打印,如图6、7所示;
所述相似材料流速伺服智能控制,是指3D打印智能耦合控制系统基于计算机7-1和PLC 7-2通过管路压力传感器7-5、相似材料流速传感器7-6,获得与打印喷头相连接的输料管路内相似材料的实时流动状态信息,当监测值与当前打印路径的设定值的偏差大于设定阈值时,3D打印智能耦合控制系统主动调节供料系统的供料速度,具体为调节喷涂机转速,以保证相似材料流速的波动在设定值上下允许范围以内,使得材料挤出量一致,且能保持一个稳定的形态,以提高打印精度。
所述喷头行走速度与相似材料流速智能匹配,是指3D打印智能耦合控制系统通过监测与控制喷头电机7-12转速,实现打印喷头在XYZ三方向行走速度的自主调节,使得喷头行走速度与相似材料出料速度处于预设的匹配区间内;当喷头行走速度增大或减小时,相似材料的出料速度也相应增大或减小。当打印至模型边界或内部结构边界位置处时,喷头行走速度自动降低,同时,系统主动降低相似材料出料速度,避免出现“堆料”现象。当打印至模型内部位置时,喷头行走速度自动提高,同时,系统主动增大相似材料出料速度,提高打印效率的同时,避免出现“缺料”现象。此外,当相似材料的出料速度发生变化时,喷头行走速度自适应调整。如打印过程中由于供料系统的不稳定,导致相似材料出料速度降低,此时,系统自动降低喷头行走速度,避免出现“缺料”现象。当相似材料出料速度增大时,系统主动提高喷头行走速度,避免出现“堆料”现象。
所述供料系统温度自适应调节,是指3D打印智能耦合控制系统通过分布式温度传感器7-7,监测3D打印机供料系统温度,当供料系统温度超过设定值,并达到调整阈值时,温控装置7-8自主启动,对供料系统进行冷却,当供料系统温度降至设定值时,温控装置7-8停止工作;当环境温度过低导致供料系统温度低于设定值,并达到调整阈值时,温控装置7-8自主启动,对供料系统进行加热,当供料系统温度升至设定值时,温控装置7-8停止工作;保证整个供料系统及相似材料处于一个稳定的温度区间,减小对相似材料流动性与凝固时间的影响。
所述打印喷头协同工作,是指针对完整岩体和岩体结构的三维数字模型不同的打印子区域,选择不同类型、不同孔径的打印喷头7-13、7-14;每个喷头具备独立的供料及喷头行走控制系统;通过智能规划的打印路径,实现多个独立控制的喷头相互协同完成模型的整体打印;
所述模型打印效果检测的具体方法为:
(1)打印过程中,通过激光器8-0定位每一个打印层的四周边界、岩体结构及传感器布设位置,实现打印过程中打印层边界、岩体结构及传感器边界位置的实时监测,如图8(a)、8(b)所示;
(2)地质模型体打印完成后,沿如图8(c)所示地质模型竖向和侧向布置若干组竖向微细钻孔8-3和横向微细钻孔8-4(直径1cm),采用内窥镜8-5进行孔内窥视,检测指定位置处的结构打印效果,从而完成模型内部结构8-1、8-2的空间位置实现情况检测;
(3)地质模型体打印完成后,在如图8(c)所示地质模型不同位置、沿不同方向取几何尺寸为φ50mm×100mm的圆柱试样8-6,以及几何尺寸为50mm×50mm×100mm的长方体试样8-7,开展物理、力学性质测试,检测相关性质是否达到预设参数指标。
最后应说明的是:以上实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述实施例所记载的技术方案进行修改,或者对其中部分或者全部技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明权利要求所限定的范围。
Claims (3)
- 一种大型三维深部复杂工程地质模型智能化3D打印方法,其特征在于:包括地质模型相似材料制备、模型3D打印及模型打印效果检测三部分;所述地质模型相似材料制备的具体方法为:步骤1:根据具体工程背景,采集工程现场完整岩体及岩体结构试样,并开展室内测试,分别获得完整岩体和岩体结构的成分信息、物理参数和力学参数;步骤2:根据测得的完整岩体及岩体结构的成分信息,分别确定制备完整岩体与岩体结构的相似材料骨料种类及粒径区间;步骤3:基于相似理论,确定工程原型与室内模型间的几何相似比、物理相似比及力学相似比,并据此计算完整岩体与岩体结构相似材料的物理、力学参数,选取胶结剂类型;步骤4:通过添加外加剂,实现岩体与岩体结构相似材料的打印性能调控,使得完整岩体与岩体结构相似材料具备合理的初凝时间、流动性能和自持能力;步骤5:依据均匀设计或正交设计试验方法,开展不同材料配比与3D打印参数下的小尺度3D打印试验,针对打印出的相似材料地质模型试样,开展物理、力学性质测试,判定其是否满足预设的物理、力学参数指标,如果符合则执行步骤6,否则重新设定材料配比和3D打印参数再进行小尺度3D打印试验,直至打印出的相似材料地质模型试样满足预设的物理、力学参数指标;步骤6:确定满足预设物理、力学参数指标的完整岩体与岩体结构3D打印相似材料配比及3D打印参数;所述模型3D打印的具体方法为:步骤S1:根据工程岩体地质条件,分别建立完整岩体和岩体结构的三维数字模型;步骤S2:分别确定完整岩体和岩体结构的打印参数,并分别规划打印路径;步骤S3:规划生成完整岩体和岩体结构三维数字模型的整体打印路径,实现完整岩体打印路径与岩体结构打印路径的匹配,并自动预留多元信息监测传感器的埋设位置;步骤S4:根据生成的打印路径信息,及完整岩体与岩体结构的三维数字模型结构的复杂程度与精度要求,确定打印喷头的孔径、数量及组合形式;步骤S5:将完整岩体及岩体结构相似材料,在独立的料仓中搅拌、混合、过滤,并通过泵送装置输送至各打印喷头处,在3D打印智能耦合控制系统控制下,各打印喷头按照步骤3规划生成的打印路径行走,完成打印;所述3D打印智能耦合控制系统控制各喷头进行3D打印,实现相似材料流速伺服智能控制、喷头行走速度与相似材料流速智能匹配以及供料系统温度自适应调节;同时,控制各打印喷头协同配合工作,共同完成模型体的打印;所述模型打印效果检测的具体方法为:(1)模型3D打印过程中,通过激光器定位每一个打印层的四周边界、岩体结构及传感器布设位置,实现打印过程中打印层边界、岩体结构及传感器边界位置的实时监测;(2)地质模型体打印完成后,沿模型竖向和侧向布置若干组微细钻孔,采用内窥镜,进行孔内窥视,检测指定位置处的结构打印效果,从而完成模型内部结构的空间位置实现情况检测;(3)地质模型体打印完成后,在模型不同位置、沿不同方向取岩体和岩体结构试样,开展物理、力学性质测试,检测相关性质是否达到预设参数指标。
- 根据权利要求1所述的一种大型三维深部复杂工程地质模型智能化3D打印方法,其特征在于:所述步骤S3的具体方法为:根据完整岩体和岩体结构的三维数字模型,将地质模型的单层打印区域进一步划分为打印路径相互衔接的完整岩体区、岩体结构区、传感器预埋区和边界过渡区,各子区域设置不同的打印参数;其中,完整岩体区与岩体结构区的层高呈整数倍关系;各打印子区域内,线条宽度根据打印区域几何尺寸自动调整,使得打印区域尺寸为线条宽度的整数倍;规划的打印路径自动平行于岩体结构区长轴生成;边界过渡区的打印参数自适应调节;所述传感器预埋区为完整岩体和岩体结构的三维数字模型中预留的传感器预埋位置处,打印路径规划时自动留出,且打印至该位置时,出料速度及喷头行走速度均自适应调节。
- 根据权利要求1所述的一种大型三维深部复杂工程地质模型智能化3D打印方法,其特征在于:所述相似材料流速伺服智能控制,是指3D打印智能耦合控制系统通过管路压力传感器、相似材料流速传感器,获得与打印喷头相连接的输料管路内相似材料的实时流动状态信息,当监测值与当前打印路径的设定值的偏差大于设定阈值时,3D打印智能耦合控制系统主动调节供料系统的供料速度;所述喷头行走速度与相似材料流速智能匹配,是指3D打印智能耦合控制系统通过监测与控制喷头电机转速,实现打印喷头在XYZ三方向行走速度的自主调节,使得喷头行走速度与相似材料出料速度处于预设的匹配区间内;所述供料系统温度自适应调节,是指3D打印智能耦合控制系统通过分布式温度传感器,监测3D打印机供料系统温度,当供料系统温度超过设定值,并达到调整阈值时,温控系统自主启动,对供料系统进行冷却,当供料系统温度降至设定值时,温控系统停止工作;当供料系统温度低于设定值,并达到调整阈值时,温控系统自主启动,对供料系统进行加热,当供料系统温度升至设定值时,温控系统停止工作;所述打印喷头协同工作,是指针对完整岩体和岩体结构的三维数字模型不同的打印子区域,选择不同类型、不同孔径的打印喷头;每个喷头具备独立的供料及喷头行走控制系统;通过智能规划的打印路径,实现多个独立控制的喷头相互协同完成模型的整体打印。
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Cited By (2)
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| CN119942015B (zh) * | 2025-04-07 | 2025-07-29 | 同济大学 | 一种ai驱动复杂地质结构3d打印参数自分布智能建模方法 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000000811A (ja) * | 1998-06-17 | 2000-01-07 | Sumitomo Osaka Cement Co Ltd | 擬岩製造方法 |
| CN204844404U (zh) * | 2015-08-06 | 2015-12-09 | 山东科技大学 | 基于3d打印快速成型技术的相似模拟实验系统 |
| CN107063790A (zh) * | 2017-02-22 | 2017-08-18 | 河海大学 | 一种不同三维节理面特性岩体的制备方法及其应用 |
| CN108252336A (zh) * | 2018-02-01 | 2018-07-06 | 重庆大学 | 一种由3d打印技术构建非连续体三维边坡室内模型试验的方法 |
| CN108638289A (zh) * | 2018-04-26 | 2018-10-12 | 东北大学 | 一种大型复杂地质物理模型3d成型系统 |
| CN109470501A (zh) * | 2018-10-24 | 2019-03-15 | 中国矿业大学(北京) | 一种基于三维地质勘探的相似重构模型实验装置及方法 |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10307961B2 (en) * | 2013-11-21 | 2019-06-04 | Siemens Product Lifecycle Management Software Inc. | Intelligent 3D printer and method |
| CN103833275A (zh) * | 2014-01-07 | 2014-06-04 | 山东大学 | 联合探测物理模型试验的相似材料及其制备方法 |
| CN105034139A (zh) * | 2015-08-06 | 2015-11-11 | 山东科技大学 | 基于3d打印快速成型技术的相似模拟实验系统及实验方法 |
| CN106738192B (zh) * | 2017-01-19 | 2019-04-02 | 中国地质大学(武汉) | 一种3d打印滑坡物理模型的方法及滑坡模型相似材料 |
| CN107084868B (zh) * | 2017-05-16 | 2018-08-17 | 山东大学 | 一种基于3d打印技术的溶洞制备方法与装置 |
| WO2019075245A1 (en) * | 2017-10-11 | 2019-04-18 | Beyond Limits, Inc. | STATIC MOTOR AND NEURONAL NETWORK FOR COGNITIVE TANK SYSTEM |
| CN109883785A (zh) * | 2019-02-28 | 2019-06-14 | 西安科技大学 | 一种基于3d打印的层状预制缺陷煤岩体试样制备装置及方法 |
| CN110398400B (zh) * | 2019-07-03 | 2020-06-02 | 中国科学院武汉岩土力学研究所 | 一种裂隙结构岩体的3d打印重构方法及裂隙结构岩体 |
-
2020
- 2020-11-04 CN CN202011216339.7A patent/CN112476703B/zh active Active
- 2020-11-16 US US17/599,867 patent/US11951651B2/en active Active
- 2020-11-16 WO PCT/CN2020/128910 patent/WO2022095103A1/zh not_active Ceased
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000000811A (ja) * | 1998-06-17 | 2000-01-07 | Sumitomo Osaka Cement Co Ltd | 擬岩製造方法 |
| CN204844404U (zh) * | 2015-08-06 | 2015-12-09 | 山东科技大学 | 基于3d打印快速成型技术的相似模拟实验系统 |
| CN107063790A (zh) * | 2017-02-22 | 2017-08-18 | 河海大学 | 一种不同三维节理面特性岩体的制备方法及其应用 |
| CN108252336A (zh) * | 2018-02-01 | 2018-07-06 | 重庆大学 | 一种由3d打印技术构建非连续体三维边坡室内模型试验的方法 |
| CN108638289A (zh) * | 2018-04-26 | 2018-10-12 | 东北大学 | 一种大型复杂地质物理模型3d成型系统 |
| CN109470501A (zh) * | 2018-10-24 | 2019-03-15 | 中国矿业大学(北京) | 一种基于三维地质勘探的相似重构模型实验装置及方法 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115127475A (zh) * | 2022-06-22 | 2022-09-30 | 中国电建集团华东勘测设计研究院有限公司 | 一种基于增材制造技术的原岩三维结构面精确获取方法 |
| CN118007987A (zh) * | 2024-02-05 | 2024-05-10 | 龙门石窟研究院 | 一种基于3d打印的石窟坍塌窟檐修复方法和系统 |
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