1231 results about "Layer thickness" patented technology

The invention provides a control method of composite copper foil thickness control equipment, which comprises the following steps: calculating the deposition thickness of each abnormal concentration group at a future moment according to a deposition rate change rule diagram to obtain the copper layer thickness distribution of an abnormal region, and comparing the copper layer thickness distribution of the abnormal region with the thickness distribution of a normal region to obtain the thickness distribution of the abnormal region. Calculating a thickness deviation value of the abnormal area; according to the thickness deviation value, a deviation compensation algorithm is adopted, electroplating process parameters of the abnormal area are adjusted according to the size and the sign of the deviation value, and the electroplating process parameters comprise the current density and the electrolyte flow speed; and according to the optimized electroplating process parameters, performing parameter setting and adjustment on a power supply system and an electrolyte circulation system of the composite copper foil thickness control equipment, so that the composite copper foil thickness control equipment performs production according to the optimized electroplating process parameters.

The invention relates to the technical field of screen printing, in particular to a PCB screen printing ink layer thickness uniformity control method, system and device and a medium. The method comprises the following steps: firstly, collecting ink layer actual thickness data and screen tension data of a PCB screen printing area, then analyzing the relevance between the two data to obtain an ink layer uniformity analysis result, further determining proper compensation parameters through process compensation analysis, finally dynamically adjusting screen printing pressure, scraper angle and printing speed, bringing screen tension into a control system, and finally, controlling the screen printing uniformity. Compared with the prior art, the method has the advantages that the adaptability and the reliability are higher, and the product yield can be improved.

The invention provides an automobile brake caliper manufacturing method based on a selective laser melting additive manufacturing technology, which comprises the following steps: carrying out structural region division on a three-dimensional digital model, and formulating an SLM process parameter strategy of a structural region, the SLM process parameter strategy comprising adjustment of laser power, scanning speed, scanning spacing and powder layer thickness; according to a three-dimensional digital model of the brake calipers and an SLM process parameter strategy, additive powder is laid in a powder bed of SLM equipment, the surface of the powder bed is scanned layer by layer through high-power-density laser beams, powder particles are selectively melted, laser energy density input is controlled, thermophysical characteristics of powder materials are matched, microstructure evolution is controlled, and the brake calipers are manufactured. And after one layer is melted and solidified, the powder bed descends by the height of one layer thickness, a new powder layer is spread out, the process is circulated till additive manufacturing of the brake calipers is completed, and the effects of being light in weight, high in structural strength and good in heat dissipation effect are achieved.

The invention discloses a multi-laser multi-material laser cladding 3D printing method and system, and relates to the technical field of 3D printing, and the method comprises the steps that according to a three-dimensional model of a target component, a printing path and a lap joint point position are determined; carrying out regional division on the working face; a sensor is used for detecting the thickness of each layer in real time, and the printing speed and the laser power are adjusted according to detection data; laser welding is carried out on a lap joint area between the printing layers, and laser annealing is carried out to release residual stress; and according to component requirements, different materials are dynamically switched in the printing process. The multi-printing-head and multi-laser-device cooperative work, path optimization and dynamic feedback control, material dynamic switching and laser annealing treatment technologies are adopted, and the problems of size limitation, insufficient interlayer binding force, complex material switching, path conflict and thermal stress in the large forming part manufacturing process are fundamentally solved. Compared with a traditional process, the printing efficiency, the finished product quality and the production flexibility are remarkably improved.

The invention relates to the technical field of film packaging, in particular to a PA-EVOH multi-layer co-extrusion film, a preparation method thereof and a composite film. The PA-EVOH multi-layer co-extrusion film comprises a first functional surface layer, a first secondary surface layer, a core layer, a second secondary surface layer and a second functional surface layer, the thickness of the core layer is 13%-40% of the total thickness of the film layer, the melting point of the adopted PA resin is 215-225 DEG C, the melting point of the EVOH resin is 164-183 DEG C, and the ethylene content is 32-44 mol%. The PA-EVOH multi-layer co-extrusion film and the composite film thereof have high barrier property and thermal stability, and good transparency and apparent quality, and can be used for pasteurization or poaching sterilization food packaging. The invention further provides a preparation method which is used for manufacturing the PA-EVOH multi-layer co-extrusion film, the film layer structure and the film layer thickness proportion are optimized, and better physical comprehensive performance and processing performance are achieved.

The invention provides an online detection method and system for paper defects, and the method comprises the steps: obtaining an infrared thermal imaging data sequence of to-be-detected paper under the dynamic thermal excitation effect; generating a temperature response characteristic distribution diagram corresponding to the to-be-detected paper according to the temperature gradient change rate of different coating areas of the to-be-detected paper in the infrared thermal imaging data sequence; the temperature response characteristic distribution diagram is input into a pre-trained machine learning model, thickness distribution data of the to-be-tested paper is output, and the machine learning model is constructed based on a random forest algorithm; based on the thickness distribution data, a paper coating thickness detection result synchronous with the speed of the paper production line is generated, and when the paper coating thickness detection result shows that the paper coating thickness is abnormal, the dynamic thermal excitation parameter adjustment action is triggered, so that the thicknesses of all pattern layer areas of other paper in the paper production line are normal. According to the invention, the precision of online detection of the paper coating thickness and the production regulation and control efficiency are improved.

The invention discloses a three-dimensional embossment type ceramic tile and a preparation method thereof, the three-dimensional embossment type ceramic tile sequentially comprises a base layer, a ground coat layer, a three-dimensional layer, a glaze layer and a polishing layer from bottom to top, the base layer is located at the bottom layer of the ceramic tile and has a thickness of 8-10mm, the ground coat layer is formed by applying ground coat on the base layer and has a thickness of 0.5-1mm, and the three-dimensional layer is located at the bottom layer of the ceramic tile and has a thickness of 0.5-1mm. The three-dimensional layer is a pattern layer formed after ink-jet printing is carried out on the ground glaze layer, the thickness of the pattern layer is 1.5-2.5 mm, the glaze surface layer is formed after overglaze is applied to the three-dimensional layer, the thickness of the glaze surface layer is 0.4-0.8 mm, and the polishing layer is formed after polishing treatment is carried out on the glaze surface layer. According to the three-dimensional embossment type ceramic tile, the ultra-white ground glaze, the multi-layer ink-jet printing three-dimensional layer and the cover glaze layer are combined by adopting multi-layer laminated glaze, so that the three-dimensional embossment type ceramic tile can clearly embody the texture and texture of raw stone, has better visual impact force and artistic expressive force, and improves the three-dimensional effect and artistic ornamental value of the ceramic tile; the requirements of the market on high-end decorative ceramic tiles are met.

The invention belongs to the technical field of electroplating process optimization, and particularly discloses a titanium alloy surface electroplating control method which comprises the following steps: dynamically generating a hanger posture configuration scheme based on workpiece three-dimensional contour data acquired in real time; a bubble distribution image and electroplating liquid flow field data are synchronously collected, and a bubble-flow field coupling feature set is generated through multi-modal fusion; performing real-time linkage adjustment on the rotation speed and the swing amplitude of the workpiece according to the coupling feature set; after electroplating is completed, plating thickness, edge integrity and surface defect data are collected, and a multi-source plating data set is formed by combining workpiece position information; historical data and real-time data are integrated to carry out hanger layout adjustment judgment, and hanger spacing dynamic reconstruction optimization is started when adjustment is needed. According to the method, multi-parameter cooperative control and closed-loop quality optimization in the electroplating process are achieved, the uniformity and integrity of a titanium alloy workpiece coating are remarkably improved, and generation of bubble related defects is effectively restrained.

The invention relates to a variable layer thickness printing method based on SLM (selective laser melting) forming part characteristics, which comprises the following specific steps of: dividing a part into an external surface / thin wall of a quality priority part and an internal filling / entity of an efficiency priority part according to the part characteristics and use performance; respectively slicing the quality priority part and the efficiency priority part obtained by the S I by using slicing software according to the required layer thickness, and setting a proper scanning sequence and an optimized scanning strategy for the sliced model; large-layer-thickness process parameters are given to the efficiency priority part, small-layer-thickness process parameters are given to the quality priority part, and a workpiece or a sample with the good surface metallurgy quality is obtained through SLM printing. A set of complete scheme for improving the printing efficiency through a large and small layer thickness method is formed, the surface metallographic phase of the finished product has no other defects except pores, and the effect is good.

The invention discloses a method and a system for regulating and controlling melting forming precision of a polymer laser powder bed and a method for improving the forming precision, and belongs to the technical field of additive manufacturing. Comprising the following steps: acquiring temperature distribution data in a polymer LPBF process; constructing a database based on the temperature distribution data and process parameters adopted for printing the current layer; based on machine learning, a polymer LPBF technological process accurate regulation and control model is established; training of the polymer LPBF technological process accurate regulation and control model is completed through the database, the mapping relation of technological parameters, the printing layer thickness and layer-by-layer temperature field distribution is established, a negative feedback mechanism of the technological parameters and the printing layer real-time temperature field is obtained, and accurate regulation and control of polymer laser powder bed fusion forming precision are completed. According to the method, the excellence of the reinforcement learning algorithm in the aspect of big data processing is utilized, the heat accumulation phenomenon in the forming process is improved, the defects of warping, caking and the like are eliminated, and the method has guiding significance for improving the precision and performance of polymer material LPBF process forming parts.

The invention discloses a 3D printing path optimization method for a multi-joint industrial robot, and relates to the field of 3D printing path optimization. The method comprises the steps that a normalized torque load index is generated according to the joint torque of the mechanical arm, and a layer cutting thickness sequence is generated in combination with the model surface curvature; a vibration risk index is constructed through the joint angular acceleration, the attitude interpolation weight is dynamically adjusted, and an attitude interpolation trajectory is generated; according to the distribution characteristics of the temperature field around the path point, calculating a thermal coupling factor, generating a thermal avoidance path offset, and correcting the path point; calculating a collision risk score based on the minimum Euclidean distance between the path point and the obstacle model; and fusing the cutting layer thickness, the vibration risk, the thermal coupling factor and the collision risk score, and constructing a global path scoring function. Through comprehensive consideration of mechanical arm load, vibration risk, heat accumulation and collision risk, printing precision and quality are effectively improved, path smoothness is optimized, vibration and heat influences are reduced, material deformation is avoided, and stability of the printing process is ensured.

An additive manufacturing method based on micro-selective laser melting technology. By using a spot size of 30 μm or less, a metal powder layer thickness of 10 μm or less and ultrafine metal powders having a D90 particle size of 30 μm or less, and in combination with the control of a scanning laser power, a scanning rate, a linear energy density and a volumetric energy density within specific ranges, the method can print complex-structured metal parts having extremely high resolutions and surface smoothness, and can obtain a high-density internal structure of a component even under a relatively low energy density or power condition, thereby effectively protecting an optical system. Moreover, a printed component exhibits a defect-free microstructure, and has excellent electrical properties, thermal properties and mechanical properties. Particularly, ultrafine grains and a high dislocation density provide superior mechanical properties compared to conventional manufacturing materials. An infrared laser device can be used, thereby achieving low costs.

The invention provides a photoacoustic measurement method and device, and the method comprises the steps: carrying out the photoacoustic measurement of a to-be-measured object through a photoacoustic measurement device, and extracting a reference value of a physical parameter of each film material according to an obtained reflectivity change signal; further acquiring a reflectivity change simulation signal based on the reference value of the physical parameter of the material so as to acquire a simulation value of the physical parameter of each film material; and performing weighted correction on the reference value by the simulation value to obtain a fitting value of the physical parameter of each film layer material. The fitting value of the physical parameter of each film layer material obtained by the technical scheme of the invention can reflect the change of the physical parameter of the material in the actual film layer growth process of the object to be measured, has higher accuracy as the initial value of the physical parameter of the simulation model, and is beneficial to optimizing the efficiency and precision of photoacoustic measurement of the thickness of the film layer.

The invention discloses a multilayer co-extrusion heat-shrinkable film and a preparation method thereof, the film comprises an outer wear-resistant layer, a middle support layer and an inner functional layer, the thickness ratio of each layer is 1: 3: 1-1: 5: 1, the total thickness is 50-150 [mu] m, and the raw materials are prepared according to respective formulas. The preparation method comprises the steps of raw material preparation, melt mixing, die head extrusion, two-way stretching, water-cooling shaping, electronic crosslinking, aging treatment, heating softening and cold and hot shaping. The carbon nanotubes (CNT) and the h-BN nanosheets synergistically hinder crack propagation in the middle layer, so that the crack propagation resistance of the film is remarkably improved, the tensile strength, the thermal shrinkage rate and other properties are also optimized, compared with a traditional film, the comprehensive properties of wear resistance, high strength and high thermal shrinkage rate are achieved through interface collaborative design, meanwhile, the production cost is reduced by 20-30%, and the application prospect is wide. The method is suitable for food packaging, electronic device protection and other fields.

The invention discloses a method for predicting the thickness of a composite layer of a composite board and related equipment, and relates to the technical field of composite board rolling, and the method comprises the following steps: obtaining assembly thickness data and target hot rolling process parameters of a to-be-measured composite board; inputting the assembly thickness data and the target hot rolling process parameters into a prediction model, and predicting the thickness of the composite plate to obtain a total thickness prediction value after cooling after hot rolling is finished; and based on the total thickness predicted value, calculating to obtain a composite layer thickness predicted value of the composite board. By fusing the assembly data, the hot rolling process parameters and the machine learning algorithm, online prediction and dynamic regulation and control of the thickness of the multi-layer are achieved.

A transmission coating for a waveguide is formed with multiple layers. There are steps of a) determining a first coating parameter and a coating function for each layer -3000, b) forming the multiple

The invention relates to the technical field of three-dimensional measurement, and discloses a coating thickness measurement method and system based on a multi-source sensor, and the method comprises the steps: obtaining and fusing point cloud data of the multi-source sensor, and constructing a three-dimensional curved surface model of a component through curvature analysis and normal vector estimation; calculating an optimal incident angle of the sensor relative to each area of the curved surface based on the model, and generating a dynamic attitude adjustment parameter; according to the parameters, the three-axis attitude of the sensor is adjusted in real time for signal acquisition, and original measurement data are obtained; frequency domain analysis is carried out on the original data to diagnose reflection distortion, and correction is carried out in combination with time domain filtering and spatial domain smoothing; and finally, calculating a thickness value in combination with the three-dimensional model, detecting and repairing a data missing region by using Fourier transform and an interpolation algorithm, and generating a complete thickness distribution diagram. According to the invention, high-precision and automatic measurement of the thickness of the complex curved surface coating is realized.

The invention discloses a preparation method for ensuring thickness uniformity and form and location tolerance of a coating of a slender shaft, the slender shaft is a slender stepped shaft-shaped part, the preparation method comprises base body processing before plating, hard chromium plating and machining after plating, in the base body processing process stage before plating, a center hole is adopted as a processing reference, finish machining is carried out according to the shape of the part, and the thickness uniformity and the form and location tolerance of the part are guaranteed. It is ensured that the form and position error and dimensional tolerance of the machined part meet the requirements; in the hard chromium plating stage, the non-chromium-plated part is protected, and the chromium-plated part is subjected to hard chromium plating; and in the post-plating machining stage, the center hole is adopted as a machining standard, post-plating rough machining is conducted firstly, then post-plating finish machining is conducted, grinding is conducted to meet the design requirement, and a plated workpiece is obtained. By the adoption of the preparation method, the problem of machining deformation of the slender shaft type structural part is thoroughly solved, the machining performance is stable, the production efficiency is high, special equipment and tools do not need to be configured, and the method is suitable for large-scale production and machining.

A main object of the present technology is to improve the reliability of a magnetic recording tape by controlling the distribution of the binder in the underlayer.The present technology provides a magnetic recording medium including a magnetic layer, an underlayer, and a base layer in this order, the underlayer containing a chlorine-containing binder, the underlayer including a part having a thickness of 130 nm or less, the part having a chlorine count equal to or more than a threshold described below:[T⁢hreshold]=[⁠an⁢ average⁢ chlorine⁢ count⁢ in⁢ the⁢ underlayer]+6×[a⁢ standard⁢ deviation⁢ determined⁢ in⁢ calculation⁢ of⁢ the⁢ average⁢ chlorine⁢ count].Furthermore, the present technology also provides a magnetic recording medium including a magnetic layer, an underlayer, and a base layer in this order, the underlayer containing a chlorine-containing binder, the underlayer including a part having a thickness of 12% or less of a thickness of the underlayer, the part having a chlorine count equal to or more than the above-described threshold.

The invention discloses a composite material performance prediction method based on multi-field coupling multi-scale analysis and a knowledge graph, which integrates microstructure modeling, graph neural network representation learning, cross-scale parameter coupling modeling and robust optimization analysis. The method is suitable for prediction and design of key mechanical properties such as modulus, strength and toughness of a thermosetting / thermoplastic composite material under different working conditions. The method comprises the following steps: firstly, constructing a grain-level tissue knowledge graph based on an electron backscatter diffraction image, secondly, constructing a multi-scale input system comprising a microscopic variable (such as a fiber volume fraction), a mesoscopic variable (such as a layer thickness sequence) and a macroscopic variable (such as a load condition), and finally, performing robust optimization by utilizing a multi-objective evolutionary algorithm to obtain a multi-scale input system. And outputting a material performance prediction result and a knowledge graph associated with the ji structure-process-performance. According to the method, the accuracy and interpretability of performance prediction of the composite material can be remarkably improved, and data-knowledge dual-drive support is provided for design optimization of the high-performance composite material.

The invention discloses a manganese-copper alloy with high damping performance and a preparation method and application thereof. The preparation method comprises the steps that manganese-copper alloy powder is subjected to laser layer-by-layer scanning printing through a laser powder bed melting technology, and then the printed manganese-copper alloy is subjected to direct aging treatment. Obtaining a result parallel to the construction direction by regulating and controlling printing processes such as a laser scanning strategy, a layer thickness, a scanning interval and a substrate temperature; 001gt, 001gt; and the manganese-copper alloy is manufactured through strong texture additive manufacturing. Owing to lt; 001gt, 001gt; the oriented grains have more twin-crystal martensite variants, and twin-crystal martensite is easier to move under the action of external stress, so that the manganese-copper alloy has higher damping performance. The vibration reduction component is prepared by utilizing the special advantages of forming hollow, hollow-out, thin-wall and other complex structures of laser additive manufacturing, combination of manganese-copper damping alloy material vibration reduction and structure vibration reduction can be effectively achieved, and the manganese-copper damping alloy material can be widely applied to the field of vibration reduction and noise reduction of satellites, ships, rail transit, high-precision machine tools and other high-end equipment.

The invention discloses a PCB (Printed Circuit Board) processing method for reducing broken needles during drilling of small micropores and a PCB. The PCB processing method comprises the following steps of: classifying all to-be-drilled holes on the whole board according to the drilling diameters of the drilled holes; for the micro holes with the hole diameters not larger than a preset threshold value, the accumulated copper layer thickness needing to be drilled in the machining process corresponding to each hole is counted, and the accumulated drilled copper thickness is obtained; for each type of fine holes, partitioning each hole with the same hole diameter according to the accumulated drilling copper thickness; according to the zoning result, CNC programs used for drilling machine machining are set in a zoning mode; setting the maximum drilling number of the same drill point in each area according to different substrate materials and the accumulative drilled copper thickness; according to different accumulative drilled copper layer thicknesses, the drilling stroke of the high-blade-length micro drill point is split, the types of the drill points and the service life limit times of the drill points can be finely classified, and compared with a traditional machining method, the problem that the drill points are broken and scrapped due to the fact that the service life drill points appear in a high accumulative copper thickness area can be greatly solved.

The invention discloses a laser scanning device based on light spot switching, additive manufacturing equipment and a method of the laser scanning device. The laser scanning device comprises a laser device, a collimator and a galvanometer system, wherein the power of the laser device can be adjusted within the range of 5w-30000w; an optical diffraction device is arranged between the collimator and the galvanometer system and used for achieving rapid switching of a first light spot and a second light spot so as to print a workpiece, the first light spot is a Gaussian light spot and used for printing the outer contour of the workpiece, the corresponding printing layer thickness is h1, the second light spot is a shaping light spot and used for printing a filling area of the workpiece, and the corresponding printing layer thickness is h2; the switching speed of the first light spot and the second light spot does not exceed 200 milliseconds. The optical diffraction device is arranged between the collimator and the galvanometer, rapid switching between the high-power shaping light spot and the low-power Gaussian light spot is achieved, the Gaussian light spot is adopted for printing the small-layer-thickness contour, the shaping light spot is adopted for printing the large-layer-thickness filling, and therefore on the premise that the printing quality of a workpiece is guaranteed, the production efficiency is improved. And the printing efficiency is greatly improved.

The invention discloses a regulation and control process for a nitridation gradient permeable layer of a die-casting special-shaped die, and belongs to the technical field of die nitridation, and the regulation and control process comprises the following steps: S1, carrying out three-dimensional quantitative analysis on the die to obtain three-dimensional information of the die, and dividing the surface of the die into regulation and control areas of four grades of A, B, C and D; s2, regulation and control area parameter mapping: calling a corresponding basic process parameter set from a preset process parameter mapping table according to different grades of the regulation and control area; s3, mold partition ion nitriding; s2, an ion nitriding furnace with multiple paths of independent control anodes and partitioned gas conveying nozzles is arranged, the mold is placed in the nitriding furnace, the process parameter sets, obtained in the S2, of all the regulation and control areas are distributed to a partitioned gas conveying control system and an anode power supply system to conduct permeation on the mold, and the mold is cooled to the room temperature; the industrial problems that due to the fact that geometrical characteristics of a special-shaped mold are complex, the infiltrated layer thickness is not uniform, and the structure property difference is large are solved, and the infiltrated layer with the enough thickness can be obtained in areas difficult to infiltrate such as deep cavities and narrow slits.

A magnetoresistive random-access memory cell includes a substrate; a sub-monolayer nitride layer, outward of the substrate, having a sub-monolayer nitride layer thickness less than 10 Angstroms; and a templating layer, outward of the sub-monolayer nitride layer, and including a binary alloy having an alternating layer lattice structure. A Heusler layer is located outward of the templating layer. The Heusler layer includes a Heusler compound and exhibits perpendicular magnetic anisotropy (PMA). A tunnel barrier is outward of the Heusler layer, and a magnetic layer is outward of the tunnel barrier. In an alternative aspect, instead of the sub-monolayer nitride layer, a tantalum nitride layer with a thickness of ≤10 Angstroms+10% is employed.

The invention discloses a method for manufacturing a surface flexible layer rigid-flexible combined board for an intelligent video module, which comprises the following steps of: taking a double-sided flexible copper-clad plate, and windowing a first surface copper layer corresponding to a first via hole to form a flexible core board; taking the first cover film and windowing corresponding to the first via hole to form a windowing cover film; correspondingly attaching the windowing covering film to one side of the second copper layer of the flexible core plate to form a covering film core plate; taking a prepreg, manufacturing a glue-blocking film corresponding to a flexible area of the prepreg, forming a glue-blocking prepreg, and manufacturing a rigid core plate; sequentially stacking and laminating the plates from top to bottom, enabling the glue blocking film to face the covering film core plate, then manufacturing a through hole in the rigid region, performing laser ablation on an insulating medium layer corresponding to a copper layer windowing pattern, electroplating, performing uncovering processing, removing a second copper layer at the bottom of a blind hole, forming a first via hole, and performing molding to form the rigid-flexible combined plate. The metallization process of the flexible area and the metallization process of the rigid area are combined into one-time electroplating, so that the consistency of the thickness of a copper plating layer is ensured.

A method and apparatus for correcting the thickness of a film layer, and a computer device. The method comprises: acquiring parameter values of controllable parameters and time information corresponding to the parameter values, and generating a first vector set and a second vector set; inputting the first vector set and the second vector set into a pre-trained prediction model to output a predicted value of a thickness correction value, the pre-trained prediction model comprising a convolutional neural network and a gated recurrent unit arranged in parallel, the convolutional neural network being configured to process the first vector set, and the gated recurrent unit being configured to process the second vector set; and adjusting the parameter values of the controllable parameters on the basis of the predicted value of the thickness correction value.

The invention provides a 3D printing path planning method and system for a three-dimensional curved surface. The method comprises the steps that printing area identification is conducted on a 3D printing model, a curved surface area is obtained, slicing processing is conducted according to the dynamic slice layer thickness, a printing path is obtained through a preset printing path planning method according to the dynamic slice layer thickness, node representation is conducted on the printing path, weight values between path nodes are determined, and a printing path sorting table is generated; 3D printing is executed, detection is conducted through a preset visual sensor, curved surface parameters are obtained, and 3D printing parameters are adjusted according to the curved surface parameters; according to the method, self-adaptive layering processing is carried out by fusing the material performance, the printer parameters and the 3D printing requirements, the path is represented in a nodal mode, the weight values between the nodes are constructed, the path sorting table is generated accordingly, transition path planning and optimization are carried out, 3D printing path planning and optimization of the three-dimensional curved surface are achieved, and the 3D printing efficiency and the printing quality are improved.

The invention provides a design method and a preparation method of a germanium substrate 2-5.9 [mu] m waveband cut-off 6.3-14 [mu] m high-transmittance optical filter film. The design method comprises the steps that 550 nm serves as a reference wavelength of 1 / 4 wavelength thickness of an optical thin film, 2.1 (L2HL) 10, 2.8 (L2HL) 10, 3.6 (L2HL) 9 and 4.5 (L2HL) 9 of a Sub / S1 face and 42 (L2HLKL) 3 and 59 (K2LK) 1AIR of a S2 face are used, Sub is a germanium substrate, AIR represents air, H represents Ge, L represents ZnSe, and K represents YbF3; 75 layers of an S1 surface and 12 layers of an S2 surface are generated, the S1 surface is bottomed ZnSe, the outermost ZnSe is adopted, middle Ge and ZnSe are alternated, and the S2 surface is Ge / ZnSe / Ge / ZnSe / Ge / ZnSe / YbF3 / ZnSe / Ge / ZnSe / YbF3 / ZnSe; optimizing to obtain the optimal film layer thickness; and inputting into a coating machine.

The invention relates to the field of photovoltaic cell preparation, and particularly provides a formula adjusting method and device for a plasma enhanced chemical vapor deposition process. The method comprises the following steps: acquiring a state parameter vector of a plasma enhanced chemical vapor deposition process machine in an operation process, and predicting a predicted film layer thickness corresponding to the state parameter vector; if the predicted film layer thickness does not meet the preset error, selecting k adjustable factors with top contribution degrees in the state parameter vectors as target adjustment factors; according to the gradient descending direction of the film layer thickness, searching a historical state parameter with the minimum Euclidean distance with the state parameter of each target regulation factor in a good product historical database, and taking the historical state parameter as a current formula parameter; and according to the state parameter vector corresponding to the current formula parameter, regenerating a predicted film layer thickness until the predicted film layer thickness meets a preset error, and taking the parameter in the current state parameter vector as a target formula. According to the technical scheme provided by the invention, the reject ratio of photovoltaic cell production is reduced.