870 results about "Surface flatness" patented technology

The invention provides a color steel plate coating flatness evaluation method and system based on artificial intelligence. According to the method, the three-dimensional point cloud data is generated by collecting the interference fringe image, and the surface fluctuation characteristics are quantified; capturing a multi-dimensional vibration spectrum of the transmission roller shaft, generating a servo motor compensation control signal, driving a multispectral scanning head to perform reverse displacement compensation, and generating real-time compensation data; inputting the surface topography features in the three-dimensional point cloud and the real-time compensation data into a lightweight convolutional neural network, and outputting fusion features; and dynamically classifying and identifying surface defects and uneven areas based on the fusion result, adjusting a classification threshold in combination with the speed of the production line, outputting a flatness evaluation result, and synchronizing the flatness evaluation result to a speed regulation system of the production line to realize closed-loop optimization. According to the method, laser interference, vibration compensation and lightweight AI technologies are fused, dynamic high-precision evaluation of the surface flatness of the color steel plate of the high-speed production line is achieved, and the problems of defect misjudgment and measurement distortion caused by vibration interference are solved.

The invention discloses a wall flatness correction method and system for building construction, and relates to the technical field of building construction quality detection.The method comprises the following specific steps that S100, joint detection preparation is conducted, specifically, a wall is cleaned, a high-precision thermal imager and a flatness measuring tool are prepared, and preparation is made for joint detection; s200, thermal imaging and flatness synchronous detection, wherein a thermal imager is used for conducting comprehensive scanning on the wall face, and meanwhile a flatness measuring tool is used for conducting surface flatness detection; the thermal imaging technology and the flatness detection technology are fused, the problems of internal temperature abnormity and external flatness of the wall surface can be detected at the same time, comprehensive and deep evaluation of the wall surface quality is achieved, the defect that a traditional flatness detection means is insufficient in internal defect detection is overcome, and through data fusion analysis, the detection accuracy of the wall surface is improved. And areas with temperature anomaly and flatness problems can be accurately identified, so that the comprehensiveness and the accuracy of detection can be obviously improved.

The invention discloses a drainage pipeline ultraviolet in-situ curing repair effect real-time evaluation method based on machine learning, and relates to the technical field of repair effect evaluation. Comprising the steps that historical parameters including the surface temperature, the surface humidity, the curing time and the ultraviolet irradiation intensity and corresponding curing material hardness values are collected and serve as input of a prediction model for training, and a curing hardness prediction model is established; the ultraviolet irradiation intensity in the repairing process is obtained, and correction is conducted in combination with the environment humidity. And real-time process parameters are collected, the model is input, and a real-time hardness value of the curing material is output. And after the hardness value is corrected according to the illumination uniformity, a repair effect evaluation index is generated in combination with the surface flatness, the crack shape index and the parameters of the sound wave signal. And through comparison with an evaluation threshold, outputting different repair effect evaluation results. According to the method, intelligent real-time monitoring and evaluation of the curing and repairing effect of the drainage pipeline are achieved, and the repairing quality and efficiency are improved.

The invention provides a display device and a manufacturing method thereof, the display device comprises a supporting layer, an adhesive layer, a protective film, a display panel, a polarizing layer, an optical adhesive layer and a cover plate which are sequentially stacked, and the supporting layer is a composite material layer formed by hot pressing of a metal layer and a carbon fiber layer; according to the flexible module, the supporting layer is arranged to be the composite material layer of the metal layer and the carbon fiber layer, the surface flatness of the flexible module can be improved, and meanwhile due to the fact that the rigid material such as the metal layer is added, the front face impact resistance of the module can be improved; the thickness of one adhesive layer can be removed, the purpose of module thinning is achieved, the composite adhesive force between the metal layer and the carbon fiber layer is better than the effect that the metal layer and the carbon fiber plate are assembled through single body attachment, and the risk of module stripping can be reduced. According to the display device and the manufacturing method thereof, the structure is simple, manufacturing is convenient, stability is high, cost is low, the product weight can be effectively reduced, and meanwhile the display effect is improved.

The invention discloses a PCBN (Polycrystalline Cubic Boron Nitride) composite sheet and a sintering process thereof. The sintering process of the PCBN composite sheet comprises the steps of material mixing, hot prepressing sintering, hot prepressing cooling, cubic pressure sintering and cooling to the room temperature, and raw materials in the mixed material comprise, by mass, 30%-85% of CBN micro powder and 15%-70% of binding agent micro powder. The PCBN composite sheet prepared by the sintering process is high in surface flatness and has relatively high hardness and cutting output.

The invention discloses a modified polysiloxane coating for a stainless steel pot and a preparation method of the modified polysiloxane coating, and belongs to the technical field of polysiloxane coatings. Comprising the following raw materials in parts by weight: 60-70 parts of hydroxyl polydimethylsiloxane, 20-30 parts of acrylate resin, 15-20 parts of ethanol, 25-30 parts of deionized water, 6-18 parts of modified nano aluminum oxide, 2-4 parts of a friction reducing agent, 0.2-0.4 part of benzophenone and 1-3 parts of a flatting agent. Polysiloxane is used as a main component, so that the coating is endowed with excellent heat resistance; wherein the antifriction agent can improve the wear resistance of the coating; wherein the leveling agent improves the surface flatness of the coating; wherein the modified nano aluminum oxide has good compatibility with polysiloxane, is not easy to agglomerate in the coating, has good dispersity, and can greatly improve the heat resistance, hardness and easy-to-clean property of the coating; the performance is stable and the service life is long; the method has important application value in the technical field of polysiloxane coatings.

The invention relates to the technical field of printing, in particular to a printing process of an anti-puncture flame-retardant label, and the flame-retardant label comprises an anti-puncture base material layer, a flame-retardant layer, a printed pattern layer and an anti-puncture surface layer which are arranged in sequence; the base material layer and the surface layer are attached to the Dupont film through the composite technology, and the firmness and the using effect of the label are improved by means of the anti-puncture performance of the Dupont film. In the printing process, the treatment of the base material layer comprises stretching to ensure the surface flatness, the bonding layer and the adhesive film layer are accurately coated on the base material layer, and the flame-retardant layer is attached on the base material layer, so that the flatness and the structural strength of the base material are effectively improved, and meanwhile, the product is endowed with excellent flame-retardant property; the flame retardant performance and the structural strength are both improved, and a powerful guarantee is provided for product safety.

The invention relates to the field of laser detection, and discloses a shaving board processing-based surface flatness detection device which comprises a base, a plurality of conveying rods are arranged at the side part of the base, a wood board is placed on the conveying rods, a detection box is fixedly mounted at the top end of the base, and a laser detector is fixedly mounted in the center of the top of the detection box. The laser detector is used for detecting the flatness of the surface of the wood board, a detection auxiliary device is fixedly installed on the side portion of the base located on the lower portion of the detection box, and a grinding device is arranged on the detection auxiliary device; the two rollers in the detection auxiliary device clamp a wood board, the detection plate is leveled to make contact with the side face of the wood board, a half gear is driven to rotate when the wood board inclines, the half gear is meshed with teeth, the position of a lifting block is adjusted, and even if the edge of the wood board protrudes, the edge of the wood board does not protrude. The lifting block can still be adjusted to enable the board to be in a horizontal position, so that the detection precision of the laser detector is improved, and the influence of board inclination on the detection of the laser detector is reduced.

The invention discloses a building precast beam section surface flatness detection method, and belongs to the technical field of building detection. Comprising the following steps: step 1, acquiring three-dimensional point cloud data of an original surface; 2, preprocessing the original point cloud data to obtain a purified point cloud data set; 3, constructing a bicubic parameter curved surface fitting model on the purification point cloud data set, introducing a curved surface curvature calculation formula, and establishing a beam section surface theoretical flatness model; step 4, iteratively extracting sample points from the point cloud data to fit a local plane, calculating distance distribution from all the point cloud data to the local plane, performing comparative analysis on the distance distribution and a theoretical flatness model, and comprehensively obtaining a flatness score of the surface of the beam section; 5, early warning is carried out on the area where defects possibly exist, and a defect thermodynamic diagram is output; and step 6, establishing a flatness evaluation system, determining a quantitative judgment standard of qualification or not, and dividing the precast beam sections into qualified products and unqualified products.

The invention discloses a device for detecting the surface flatness of a semiconductor by using laser, and relates to the technical field of semiconductor detection, the device comprises a base, the upper end of the base is fixedly connected with a mounting seat, the upper surface of the base is provided with a through groove, a laser emitter and a fixed seat, the laser emitter is arranged on the mounting seat, and the fixed seat is fixedly connected with the mounting seat. The fixing base is arranged on the upper surface of the base, and a transmission mechanism is arranged in the fixing base. Through the servo motor, the transmission case, the ball screw and the screw nut, the workbench can be driven to move, so that the semiconductor material above moves along the horizontal axis, the position of the laser emitter is driven to be adjusted in cooperation with the contraction of the hydraulic oil cylinder, and finally emitted laser points traverse the surface of the semiconductor. The flatness state of the semiconductor surface is judged according to the position of the laser point received by the target, the influence of machine body vibration on semiconductor flatness detection is avoided, the detection precision is high, and the working efficiency is improved.

The invention provides an optimization method for parameterization design of a steel formwork, and belongs to the technical field of building construction.The optimization method comprises the steps that a non-uniform rational B-spline surface parameter equation is established, steel formwork block parameterization design is carried out on the basis of the surface parameter equation, and a thickness distribution function and back arris spacing parameters are generated; constructing a support system mechanical parameterization model to determine support spacing optimization parameters and rod piece section sizes, and solving a double-layer decision-making system comprising an upper-layer template deformation minimization decision-making model and a lower-layer concrete surface flatness optimization response model by applying a game optimization algorithm; and a digital manufacturing instruction is generated to establish a mapping relation between a template number and geometric characteristics, a quality real-time monitoring system is established, configuration parameters are dynamically adjusted through a template adaptability evaluation function, and the technical problem that template deformation control is inaccurate due to the fact that design of the special-shaped concrete structure steel template lacks accurate parameterized optimization is solved.

The invention discloses a novel plastic product defect automatic detection device, and relates to the technical field of detection devices, the novel plastic product defect automatic detection device comprises a box body, an inner cavity of the box body is provided with a row of conveying rollers, the conveying rollers are used for intermittently conveying plastic product plates to be detected, and the inner cavity of the box body is provided with a detection assembly for performing defect detection treatment on the plastic product plates. According to the novel plastic product defect automatic detection device, the surface flatness of a plastic product plate is detected through the balls, when protrusions or recesses are detected, marking materials of different colors can be discharged through corresponding channels, marks are reserved at defect positions, operators can conveniently and visually judge whether the defect types are protrusions or recesses, and the detection efficiency is improved. A clear indication is provided for subsequent repair or replacement, the marking materials with two colors are accurately segmented by using the first partition plate and the second partition plate, the marking materials are ensured to accurately correspond to the convex or concave positions on the surface of the plastic product plate, and the marking accuracy and reliability are improved.

The invention discloses a wall surface flatness quantification system and method based on contour curvature characteristics, and belongs to the technical field of wall surface flatness quantification, and the method specifically comprises the steps: scanning a to-be-measured wall surface, obtaining a wall surface point cloud data set, carrying out the preprocessing of the obtained wall surface point cloud data set, and obtaining the wall surface flatness based on the preprocessed wall surface point cloud data set. The method comprises the following steps: generating a curved surface fitting model of a wall surface, extracting the curvature of a wall surface contour, quantifying based on curvature deviation of wall surface flatness, defining a local flatness index of the wall surface, generating a flatness distribution map of the wall surface based on the local flatness index of the wall surface, and outputting a flatness report. The flatness of each detection point is quantified, the overall flatness index of the wall surface is automatically calculated, the method can be used for accurate quality evaluation, and errors caused by manual intervention are greatly reduced.

The invention discloses a device and a method for detecting the surface flatness of a wood-plastic plate, and the method comprises the steps: carrying out the image analysis of a surface image of the wood-plastic plate through employing a computer vision technology based on deep learning, removing the image noise through gray conversion and Gaussian filtering, extracting stable image texture distribution feature representation, and meanwhile, carrying out the detection of the surface flatness of the wood-plastic plate. The embedded representation of the statistical parameters of the image texture features is used as auxiliary information, and the multi-scale texture information fusion representation of the image texture distribution features and the texture statistical features is obtained through cross-domain joint coding, so that intelligent detection of the flatness of the wood-plastic plate is carried out. Through the mode, the anti-interference capability of detection can be effectively improved, and the recognition of illumination variation and small defects on the surface of the plate is enhanced, so that the detection precision and reliability are improved, and the requirements of modern industrial production are met.

The invention belongs to the technical field of electric arc additive manufacturing, and discloses an electric arc additive manufacturing morphology online self-adaptive regulation and control method. According to the method, the forming track and the forming parameters of the unformed part are dynamically adjusted according to the deviation between the actual formed part morphology and the theoretical morphology of the part. In this way, an interlayer closed-loop control mechanism is formed, the forming deviation can be reduced, and the flatness of the surface of the deposition layer can be improved. The method can be widely applied to the field of electric arc additive manufacturing, the problem of poor accumulated forming precision of electric arc additive manufacturing is effectively solved, the forming quality and the surface flatness can be improved in the additive manufacturing process, meanwhile, the process stability is guaranteed, and the more accurate and reliable manufacturing process is achieved.

The invention relates to the technical field of steel template detection equipment, and discloses a surface flatness detection device based on steel template production, which comprises a detection table, two mounting seats are fixedly mounted at the top of the detection table, driving gears are movably connected to the middle sides of the interiors of the mounting seats through bearings, and two guide rails are mounted at the tops of the mounting seats. Two connecting plates are slidably connected outside the guide rail, a telescopic rod is mounted at the top of the mounting seat, a driving rack is mounted on the outer side of the mounting seat, and the telescopic end of the telescopic rod is fixedly connected with the outer sides of the connecting plates. According to the invention, stable and accurate clamping of steel templates with different shapes and sizes is realized, the device can effectively adapt to steel templates with different specifications, frequent clamp replacement or complex adjustment is not needed, the universality and flexibility of detection are greatly improved, the device is matched with a high-precision optical flatness measuring instrument, non-contact measurement can be carried out on the surface of the steel template, and the detection precision is improved. And the accuracy and the reliability of a measurement result are ensured.

The invention discloses an in-situ remanufacturing repair system and method based on three-dimensional point cloud.The in-situ remanufacturing repair system comprises an industrial personal computer, a binocular structure light camera and a collaborative robot, the binocular structure light camera and the collaborative robot are connected with the industrial personal computer, and the collaborative robot is provided with a welding gun connected with an intelligent welding machine; the method comprises the following steps of: performing hand-eye calibration on a binocular structured light camera by adopting dual quaternion and a singular value decomposition algorithm; a binocular structured light camera is used for shooting the workpiece, and a complete point cloud of the to-be-repaired area is obtained; performing surface reconstruction on the to-be-repaired area by using a Poisson surface reconstruction algorithm; according to the side wall fusion optimization formula, path planning is conducted on the to-be-repaired area model in Cura software, and filling path coordinates of the to-be-repaired area are obtained. According to the method provided by the invention, the defect of incomplete fusion of the side wall of the workpiece after additive remanufacturing repair can be reduced, and meanwhile, the surface flatness of the weld joint adjacent to the side wall is improved.

The invention discloses an inorganic plate quality classification system and method, and relates to the field of intelligent detection, and the method comprises the steps: firstly obtaining the surface image and depth information of a to-be-detected inorganic plate, calculating the basic score of the structural strength of the inorganic plate through the information, calculating the secondary score of the surface flatness of the inorganic plate according to the surface depth information, and finally, carrying out the quality classification of the inorganic plate. And carrying out quality classification on the to-be-detected inorganic plate by combining the structural strength basic score and the surface flatness secondary score. In this way, more reliable inorganic plate quality control can be achieved.

The invention discloses a method for detecting the flatness of a prefabricated wall with holes based on point cloud, and the method comprises the steps: firstly collecting the point cloud data of the surface of the prefabricated wall, and constructing a point cloud data set of the surface of the prefabricated wall; carrying out downsampling processing on the point cloud data in the point cloud data set by adopting a curvature feature and adjacent point normal vector angle dual-threshold screening mechanism; aligning the point cloud data after downsampling processing with a BIM model of the prefabricated wall, marking a hole area, generating a hole area mask, and eliminating interference of invalid data of the hole area; and finally, fitting a global reference plane based on a curvature compensation RANSAC algorithm, calculating a deviation value between the central point of the local curved surface and the global reference plane through a dynamic window, and evaluating the surface flatness of the prefabricated wall body. According to the method, the detection precision and efficiency are improved, noise interference of invalid data in a hole area is avoided, construction defect information is reserved, and the robustness of prefabricated wall surface flatness detection is improved.

The invention relates to a single-sided polishing method for an 8-inch silicon carbide wafer, which adopts a ceramic disc with the radius less than 8 inches to perform single-sided polishing on the 8-inch silicon carbide wafer, and ensures mechanical balance and efficient polishing in the polishing process by reasonably setting the distance between the wafer and the ceramic disc as well as the distance between the wafer and a polishing disc. And the fluidity and the uniformity of the polishing solution are further enhanced through the optimal design of the polishing cloth and the groove body. The small-size wafer is used as an auxiliary tool, the stability and the machining flexibility of the polishing process are improved, the surface flatness of the polished wafer meets the actual production requirement, meanwhile, the production cost is remarkably reduced, and the equipment utilization rate and the production efficiency are improved. The silicon carbide wafer polishing method is efficient, low in cost and high in flexibility, and has remarkable economic benefits and practical value.

The invention discloses a preparation method of a PCB, and the method comprises the steps: preparing a high polymer material into a solution, and adding a nanoscale pore-forming agent to form a mixture; coating the mixture on the surface of a PCB substrate; grinding the surface of the PCB substrate; etching is carried out on the PCB substrate; carrying out chemical plating on the etched PCB substrate; performing electrochemical deposition of a metal layer on the PCB substrate subjected to chemical plating treatment to obtain a metal-clad plate; and performing outer-layer circuit manufacturing on the metal-clad plate to obtain the PCB. According to the PCB prepared by the preparation method disclosed by the invention, the surface roughness is reduced, the surface flatness of the PCB is improved, the binding force between the substrate and the metal layer is improved, and the signal loss of the PCB can be greatly reduced; and meanwhile, the production process flow is shortened, the production cost is reduced, and the production efficiency is improved.

The invention relates to the technical field of laser cutting, and discloses steel and wood laser cutting equipment which comprises a workbench, a frame is fixedly connected to the top of the workbench, and a grinding mechanism is arranged on the frame. The grinding mechanism comprises a first guide rail, a first linear motor, a moving frame, a sliding groove, a sliding block, a driving motor, a rotating rod, a grinding roller, an air blower, a first connecting pipe, an air outlet pipe, a rotating shaft and a first telescopic rod. The first guide rail is arranged on the top of the frame, and the first linear motor is arranged on the first guide rail. Through cooperative operation of a first guide rail, a first linear motor, a driving motor and a rotating rod, a grinding roller can rotate to grind the upper surface of a steel-wood plate, the surface flatness of the steel-wood plate is effectively improved, meanwhile, impurities on the surface of the steel-wood plate are removed, the laser cutting effect is prevented from being affected, a better machining basis is provided for follow-up laser cutting, and the machining efficiency is improved. The cutting precision and the cutting surface quality are ensured.

The invention discloses a nanoscale anti-sticking master batch for an MLCC base film, which is prepared from the following raw materials in parts by weight: 80 to 95 parts of unmodified PET (Polyethylene Terephthalate) resin, 2 to 10 parts of carboxyl modified PET resin, 1 to 10 parts of anti-sticking composition, 0.1 to 2 parts of dispersing agent and 0.1 to 3 parts of antioxidant. According to the anti-sticking master batch disclosed by the invention, the epoxy group grafted and modified nano silicon dioxide and the carboxyl modified PET resin are combined to act, so that an MLCC base film produced by the prepared anti-sticking master batch is high in surface flatness and good in anti-sticking performance. The carboxyl modified PET resin with the molecular weight of 9800 g / mol and the carboxyl number of 40-50 / mol is adopted, the viscosity of the obtained anti-sticking master batch is appropriate, and no adverse effect is caused to subsequent processing production. The roughness of the prepared MLCC base film can reach 15 nm or below, meanwhile, the anti-sticking performance is excellent, and the technical requirements for the high capacitance value and miniaturization of the MLCC can be met.

The invention provides an electric arc additive and subtractive composite manufacturing method and device for a cross structure based on low surface roughness. The device comprises an electric arc additive manufacturing forming system, a milling and subtractive system and a three-dimensional scanning detection system. Firstly, cross structure characteristics are analyzed, an additive manufacturing program is generated through an electric arc additive manufacturing forming system, and a layer is added; secondly, the flatness S, the average height # imgabs0 #, the weld reinforcement h and the height D of each position of the formed surface are analyzed through a three-dimensional scanning detection system, and whether the flatness S exceeds a specified value or not is judged; and finally, material increasing and decreasing judgment is conducted, and if # imgabs1 # imgabs2 #, material decreasing is conducted through a milling and cutting material decreasing system. And if # imgabs3 #, additive repair welding is conducted through an electric arc additive manufacturing forming system. In combination with a three-dimensional scanning detection system, flatness feedback of the formed surface can be obtained in real time, material increasing and decreasing are conducted in time in the cross structure forming process, the roughness of the formed surface of the cross structure is effectively reduced, and the forming precision is improved.

The invention discloses an intelligent detection method and system for defective products of PBAT degradable film materials. The method comprises the steps that images of all to-be-detected PBAT degradable film materials are collected, the flatness of each image is calculated, and the to-be-detected PBAT degradable film materials corresponding to the images with the flatness lower than a standard flatness threshold value are screened out; performing light compensation processing on the image from a plurality of angles to obtain a light compensation image of each to-be-detected PBAT degradation film material; and screening the light compensation image of each angle by adopting a comparative learning mode to obtain an image corresponding to the light angle with the minimum PBAT degradation film particle contour feature loss, obtaining crack information in the image, and screening out the to-be-detected PBAT degradation film material corresponding to each piece of crack information. According to the invention, defective products in the material are identified by detecting the surface flatness and thickness; the crack of the PBAT degradation film in the image is identified through edge detection, and mechanical artifacts generated by micro mechanical vibration of a film blowing machine in the image acquisition process are eliminated through calibration, so that the accuracy of crack identification is improved.

The invention discloses a multi-bending machine for a branch belt of a flexible printed circuit (FPC) and a bending process of the multi-bending machine, the multi-bending machine comprises an FPC support table, a bearing mechanism and a bending part, the FPC support table is erected on a case along a linear direction, and the FPC is placed on the FPC support table; the bearing mechanism is vertically connected to the outer side of the FPC support table; the bent part is arranged in the mounting space of the case; the bending part comprises a first bending mechanism, a second bending mechanism and a third bending mechanism which linearly and rotationally move in a horizontal plane; the first bending mechanism turns over by 180 degrees along the first bending line after supporting the belt; the second bending mechanism clamps the branch belt which is bent for the first time and turns over the branch belt by 180 degrees to complete bending for the second time; the third bending mechanism clamps the branch belt bent for the second time and turns over the branch belt by 180 degrees to complete bending for the third time. According to the automatic bending device, multiple times of automatic bending can be completed at different positions and different angles of the same branch belt, the situation of local upwarp in the bending process is avoided, the bending position precision is improved, the bending thickness and the bending radian are accurately controlled, and the surface flatness of a bent belt body is improved.

The invention provides a method for grinding and cleaning a wafer back under an advanced process node, and the method comprises the steps: 1, carrying out the polishing of the wafer back, and improving the surface flatness of the wafer back; and 2, cleaning the wafer back, and removing particle defects on the surface of the wafer back. And particles on the surface of the wafer back are removed, and the surface of the wafer back reaches a certain flatness, so that Focus Spot during subsequent photoetching treatment on the wafer is avoided.

The invention discloses an injection mold for multicolor injection molding and a production process thereof, a set of machine vision on-line inspection system with pattern detection and surface flatness detection is integrated, pattern detection is performed on a specific part of a formed part A through optical screen detection, horizontal and vertical coordinates of an actual contour are compared with a preset range, and the pattern of the specific part A is detected. Then, the surface flatness of the part is objectively evaluated by analyzing reflected light distribution on the surface of the part, whether a qualified matrix is provided for second injection or not is judged, and key quality attribute judgment on the intermediate product A before second injection is achieved; according to the method, the waste of raw materials, energy and working hours caused by the fact that known waste products continue to be subjected to second injection is effectively prevented, meanwhile, the position precision and visual definition of final multi-color products at the joints of different colors are guaranteed, the defects of boundary line distortion, blooming and the like are overcome, and the production yield and the resource utilization rate are remarkably increased.

The invention belongs to the field of ceramic tiles, and particularly relates to a ceramic tile with a bright and sub combination effect on the surface and a preparation method thereof. The ceramic tile comprises a green body layer, a ground glaze layer, an ink-jet functional ink layer containing bright matte ink and a cover glaze layer containing dry particles which are sequentially stacked, the dry granules with the granularity of 250-400 meshes comprise the following components in percentage by mass: 17%-20% of Al2O3, 4.5%-6.5% of SrO and 14%-17% of BaO; the gray level of the matte ink is 30%-60%, and the gray level of the bright ink is 50%-100%. After the specific dry granular glaze and the brilliant functional ink are fired at a high temperature and interact with each other, the obtained ceramic tile has a better brilliant effect and a multi-dimensional three-dimensional luster effect, and also has the characteristics of better surface flatness, color development capability, friction coefficient, skid resistance, wear resistance, antifouling property and the like; the preparation method is simple and easy to implement and stable in production, and has great popularization value.

The invention provides a method for preparing an aluminum-titanium target by combining roll bonding and warm pressing of a waste aluminum-titanium target, and belongs to the technical field of powder metallurgy. The preparation method comprises the steps that the waste aluminum-titanium target is pretreated to obtain aluminum-titanium target semi-finished products, N pieces of aluminum-titanium target semi-finished products are taken, slurry containing aluminum powder is sprayed to the surfaces of the N pieces or N-1 pieces of aluminum-titanium target semi-finished products, and after spraying is completed, the aluminum-titanium target semi-finished products are obtained; and laminating the N aluminum-titanium target semi-finished products to obtain a composite plate, carrying out ply rolling on the composite plate to obtain a composite target material, and carrying out warm pressing on the composite target material to obtain the aluminum-titanium target material. According to the preparation method, the target materials can be fully diffused in the warm pressing process, the influence of the surface flatness on diffusion is reduced through the pre-pack rolling treatment, the aluminum powder serves as a soft middle layer, the good buffering and joint filling effects are achieved, diffusion is promoted, and the target material welding rate is gt in an optimal scheme; 95%. According to the preparation method, the utilization rate of the target material is increased, the production cost of the target material is reduced, and recycling of the target material is achieved.