34results about How to "Improve design accuracy" patented technology

The utility model provides a micro-motion platform device. The micro-motion platform device comprises a base; the bearing assembly is movably arranged on the base, and the bearing assembly is provided with a micro-motion seat; the ejector pin assembly is arranged in the circumferential direction of the bearing assembly, the ejector pin assembly and the bearing assembly are arranged in a spaced mode, the ejector pin assembly comprises an ejector pin base, a plurality of ejector pins arranged on the ejector pin base and a driving part arranged on the base, and the ejector pins are distributed in the circumferential direction of the micro-motion base at intervals; the output end of the driving piece is in driving connection with the ejector pin base and used for driving the ejector pin base to move relative to the base in the Z-axis direction. According to the technical scheme provided by the utility model, the problems that a micro-motion platform device in the prior art is easy to cause overheating of a motor, complicated stroke design and influence on the whole mechanism and performance are solved.

This invention relates to the field of mechanical manufacturing technology, and discloses a method and system for automatically selecting and designing molds for retaining rings and spring machines. The method includes: obtaining the basic parameters of the retaining ring to be processed, and determining the final machine model that meets the requirements of each processing stage based on the basic parameters; calculating the width-to-thickness ratio based on the width and thickness of the retaining ring to be processed, and determining whether it meets the requirements for fan-shaped processing based on the width or width-to-thickness ratio; if it meets the requirements for fan-shaped processing, determining the inner arc angle of the fan-shaped cut based on the basic parameters of the retaining ring to be processed and the final machine model; if it does not meet the requirements for fan-shaped processing, determining the punching angle based on the cut type and application, and selecting or designing a mold for the retaining ring to be processed. This invention achieves full automation and intelligence in the selection and design of retaining ring and spring machine molds by obtaining the basic parameters of the retaining ring, improving the efficiency and accuracy of mold design, and accurately matching processing parameters according to the specifications and process requirements of the retaining ring, reducing the reliance on the professional skills of operators.

The invention discloses a GAN-based high-remanence neodymium-iron-boron component and process optimization method, and relates to the field of high-remanence magnetic material design, and the method comprises the steps: obtaining the input characteristics and target characteristics of a sintered neodymium-iron-boron magnet; constructing a generative adversarial network, introducing a physical constraint term into a generator loss function of the generative adversarial network, carrying out data expansion on the high residual magnetism subset by using the trained generative adversarial network, and carrying out parallel training on a deep learning model and a traditional machine learning model based on the expanded data and the original data to form a hybrid prediction model; and inputting the target magnetic performance into the hybrid prediction model, and performing reverse prediction to obtain a corresponding magnet component and sintering process parameter combination. According to the method, the adversarial network introducing the physical constraint term is utilized to expand the high residual magnetism data, and the multi-dimensional feature analysis and the mixed model training are combined, so that the precise matching of the magnet component-process-magnetic performance is realized, the design accuracy is improved, the research and development period is shortened, and the experiment cost is reduced.

This invention provides a method for predicting the dominant frequency of blasting vibration by integrating parameter fluctuation processing and the Dream Optimization Algorithm (DOA), belonging to the field of underground engineering safety control technology. The system includes a data acquisition and uncertainty modeling module, a data preprocessing and feature construction module, a hyperparameter optimization module, and a prediction model training and result output module. The method obtains relevant parameters through on-site investigation and monitoring, and generates an extended sample set using a combination of probabilistic perturbation modeling and fuzzy triangular modeling. The data is preprocessed and features are selected. The DOA algorithm is used to globally search the hyperparameters of the Support Vector Regression (SVR) model, and the optimal hyperparameter combination is selected by combining a robustness fitness function. The SVR model is trained, and prediction results and uncertainty prediction intervals are generated. This invention can explicitly characterize the uncertainty of geological parameters, achieve efficient global optimization of hyperparameters, improve prediction accuracy, robustness, and generalization ability, and is applicable to different geological conditions and blasting scenarios. It can be extended to various blasting dynamic response prediction tasks.

This application discloses a machine learning-based method for constructing numerical atlases of marine propellers, relating to the field of marine technology. This method uses a viscous flow numerical calculation model to calculate the performance parameters of a propeller with design parameters for each set of samples at various sample infeed velocities. Then, using the design parameters and infeed velocities of each set of samples as input and the corresponding performance parameters as output, a performance surrogate prediction model is trained using multiple sets of sample design parameters based on a machine learning model. This surrogate prediction model can then be used to obtain the performance parameters corresponding to different propeller schemes within the atlas parameter range, thus constructing a numerical atlas of marine propellers. This method combines the high efficiency and high accuracy of viscous flow numerical methods with the superior nonlinear fitting capability of machine learning models. It does not rely on extensive physical model experiments, has a simple construction method, and produces propeller atlases with high numerical accuracy.

The embodiment of the invention relates to the technical field of composite material structure modeling, in particular to a parametric modeling method, optimization method and device for a special-shaped woven structure. The method comprises the steps that the special-shaped structure is divided into a uniform area and a connection area; obtaining a simulation model of a connection area corresponding to each connection scheme based on the digital code and the simulation model of the uniform area corresponding to each connection scheme; based on the simulation model of the uniform area and each connection area, each yarn in the special-shaped structure corresponding to each connection scheme is dispersed into a plurality of virtual fibers, and the contact between every two virtual fibers and the contact between each virtual fiber and the outline of the special-shaped structure are eliminated by moving the positions of the virtual fibers; and obtaining the fiber geometric model of the special-shaped structure. According to the technical scheme, parametric modeling of the three-dimensional woven special-shaped structure can be achieved, and the design efficiency and precision of the three-dimensional woven special-shaped structure are improved.

The application provides a building energy intelligent control method and system, the method comprises the following steps: obtaining a three-dimensional model of a building surface, dividing the building surface into grid units, identifying a set of building surface units that meet the light condition by analyzing the light coverage index of each grid unit throughout the year, calculating the hourly predicted irradiance, and predicting the annual power generation potential per unit area of each deployable unit based on the hourly predicted irradiance, obtaining preset design parameters, jointly analyzing the annual power generation potential per unit area of each deployable unit based on the hourly predicted irradiance based on the design parameters, and optimizing the photovoltaic deployment capacity of each unit to obtain a set of units with non-zero deployment capacity, and finally deploying the set of units with non-zero deployment capacity to the building information model in the form of parameterized components. The application greatly improves the design accuracy, operation stability and engineering implementation efficiency of the building photovoltaic system.

The application discloses an equivalent estimation method for selection of dynamic compaction design parameters, and belongs to the field of foundation treatment, comprising the following steps: constructing a calculation model of energy density; selecting a reference soil body, calibrating the energy density threshold of different reinforcement levels of the reference soil body, determining the soil quality correction coefficient and target energy density of a target soil body according to the energy requirement difference of the target soil body and the reference soil body reaching the same reinforcement level; determining the reinforcement treatment thickness and ramming point distribution form of the target soil body, and drafting the initial value of the dynamic compaction design parameters, wherein the dynamic compaction design parameters comprise single-ramming ramming energy and ramming point spacing; calculating the energy density of the current soil body based on the calculation model of energy density, obtaining the effective energy density of the soil body, comparing the effective energy density of the soil body with the target energy density, and iteratively adjusting the single-ramming ramming energy and the ramming point spacing until the effective energy density of the soil body matches the target energy density, and outputting the final dynamic compaction design parameters.

This invention provides a simulation method for a commercial vehicle frame and a commercial vehicle. The simulation method for the commercial vehicle frame includes: acquiring basic information of longitudinal beams, electric drive axles, and saddles, wherein the basic information of the longitudinal beams includes at least the stress information and strength bearing capacity information of each point on the longitudinal beams; the basic information of the electric drive axles includes at least the size information and position information of the electric drive axles; and the basic information of the saddles includes at least the mass information and position information of the saddles. Based on the basic information of the longitudinal beams and the electric drive axles, a simulation model of the longitudinal beams is generated, which is used to simulate the structure after the longitudinal beams are installed. Based on the basic information of the saddles and the simulation model of the longitudinal beams, a simulation model of the reinforcing plate is generated, which is used to simulate the strength data of the longitudinal beams that need to be reinforced after installation. After confirming that the strength of the reinforcing plate simulation model reaches a preset threshold, the structure of the longitudinal beams and the structure of the reinforcing plate are determined. This method solves the problems of long design and development cycles and high costs associated with longitudinal beams.

This invention discloses a flood consensus zone delineation method based on a machine learning model using consensus clustering, relating to the field of watershed flood characteristic zoning. The method includes: dividing flood records from hydrological stations in the target area into data-sufficient, data-insufficient, and data-free areas according to record length; classifying watershed flood characteristics in data-sufficient areas using hierarchical clustering to obtain consensus clustering results; establishing a multilayer perceptron deep learning model of hydrological categories and flood characteristics to predict hydrological categories in data-insufficient areas; predicting hydrological categories in data-free areas through hydro-meteorological similarity; and determining the main control factors of flood peaks in each area by examining the similarity between flood peaks and hydro-meteorological variables using Spearman rank correlation coefficients, thus obtaining the final watershed flood hydrological zoning results. This invention helps improve the accuracy of engineering hydrological design in data-scarce areas, better addressing watershed flood risk management, and is suitable for widespread promotion and use.

The application discloses a kind of three-dimensional woven composite reverse design methods based on generative adversarial neural network, comprising: selecting three-dimensional woven composite sample of different process structure by hyper-latin sampling;Python script simultaneously TexGen textile modeling software generates three-dimensional woven composite cell model and imports Abaqus to calculate material mechanics performance;The process structure of three-dimensional woven composite is normalized coding combined with material mechanics performance as data set, training generative adversarial neural network and passing through bayesian optimization hyperparameter.The application can improve the design and development efficiency of three-dimensional woven composite by more than 50% by mapping between three-dimensional woven composite process parameters and mechanics performance of the generative adversarial neural network model, improve the structure design accuracy and performance prediction accuracy of three-dimensional woven composite.

The application provides an LCC-S type wireless power transmission system parameter optimization method and system, adopts a nested loop optimization structure, firstly performs global scanning on the sending end series inductance value through an outer loop, and finely adjusts the receiving end output current value through an inner loop under each inductance value; based on the system resonance frequency and the coil parameters, the resonance capacitance values are calculated, and then the capacitance voltage and the output power are respectively evaluated under the maximum and minimum coupling coefficient conditions; taking the sending end and receiving end resonance capacitance voltage tending to balance as the core target, the optimal solution is dynamically updated combined with the output power constraint condition, and finally the inductance, capacitance and current parameter combination which makes the capacitance pressure minimum and meets the power transmission requirement is output. Through systematic parameter collaborative optimization, the application effectively reduces the working voltage stress of the resonance capacitance, improves the system safety and engineering applicability, and at the same time ensures the stable and reliable output power in the coupling coefficient change range.

This invention discloses a metasurface-based mid-wave infrared focusing planar filter and its reverse design method. Based on the light field modulation characteristics of metasurfaces, a single-layer all-silicon dielectric metasurface can achieve spectral routing and focusing functions for a specified mid-wave infrared band, thus achieving a filtering effect similar to a Bayer filter, while significantly improving spectral energy utilization. The design utilizes an end-to-end reverse approach, employing genetic algorithms and binary search algorithms (DBS) to optimize structural parameters in stages, fully leveraging the advantages of each algorithm, lowering the design threshold, increasing optimization freedom, and thus improving optimization performance. Therefore, this invention can provide key device support for low-light mid-infrared night vision color imaging applications and expands new design ideas in the field of integration and miniaturization.

The invention discloses a patellofemoral joint prosthesis preparation method and system, and the method comprises the steps: carrying out the extraction of the anatomical structure of a patellofemoral joint according to the medical image data of a patient, and reconstructing the three-dimensional geometric models of patella and femur; inputting the three-dimensional geometric model into a mechanical simulation platform to obtain a stress distribution diagram of the patellofemoral joint; generating an initial prosthesis model according to the stress distribution diagram and a patient anatomical model, and obtaining a preliminarily optimized prosthesis design scheme in combination with a topological optimization technology and a multi-objective genetic algorithm; and inputting the preliminarily optimized prosthesis design scheme into additive manufacturing equipment to obtain a final patellofemoral joint prosthesis. By utilizing the embodiment of the invention, the design and manufacturing precision of the patellofemoral joint prosthesis can be improved, and the long-term stability and applicability of the patellofemoral joint prosthesis in a biological environment are improved.

This invention relates to the field of automated design technology for tunnel engineering and underground space support structures, and discloses an adaptive arrangement method and system for combined corrugated plate joints adapted to soft rock grades. The method includes: receiving surrounding rock grade data and deformation data; matching the number, height, and thickness of corrugated plates according to the surrounding rock grade; correcting the height when the deformation exceeds the limit; selecting a layout path with either a symmetry center rotation or a spiral center rotation; calculating the rotation angle and arrangement distance; generating spatial layout coordinates; performing stress prediction and configuring reinforcement structures; calculating the flange plate side length using the equivalent projection method of the cross section and generating bolt hole coordinates; and outputting factory prefabrication parameter files. This invention enables intelligent and precise design of pressure-bearing support for large deformation tunnels in soft rock, reducing the design time for a single section from hours to seconds.

The application provides a hot continuous rolling production line collaborative design method, system, equipment and storage medium, relates to the steel metallurgy technical field, and the method comprises the following steps: establishing a top layout skeleton according to a process specification and a digital twin technology, containing equipment plane relationship, interface constraint, layout coordinate reference and equipment; based on the equipment list and the interface constraint, the design task is distributed and the node and the adjacent node permission are configured through the PLM system, and the interface data sharing pool is constructed; each node determines the production line space position reference of the corresponding equipment according to the equipment plane relationship; the equipment-level layout is generated in combination with the interface data and the constraint, the dynamic association of the part size and the layout coordinate reference is established through parameterized modeling, and the assembly positioning of each equipment is completed with the layout coordinate reference as the global origin. Through the top constraint unified reference, the hierarchical collaborative data sharing and the parameter association dynamic synchronization, the design precision and the efficiency of the hot continuous rolling production line are improved.

This invention discloses a lens design method based on deep learning, belonging to the fields of optical design and deep learning. The method includes: constructing a dual-channel neural network; adjusting task indicators in real time according to the current state using a dynamic task generator; inputting the task indicators into the dual-channel neural network for joint training; calculating aberration sensitivity based on Zernike aberration coefficients from real-time ray tracing verification feedback; and outputting a lens design result that meets both optical performance and manufacturing feasibility requirements when the closed-loop iteration formed by dual-channel joint training, real-time ray tracing verification, and dynamic optimization strategy adjustment satisfies a preset convergence condition. This invention uses a dynamic task generator to adjust the optimization path in real time, physically constrains channels to block unmanufacturable structures, and prioritizes suppressing dominant aberrations through aberration sensitivity feedback; it embeds lightweight ray tracing into the training loop, provides real-time feedback of Zernike aberration coefficients, and uses manufacturing feasibility scoring to drive design iteration.

This invention provides a method, apparatus, electronic device, storage medium, and product for automatically generating pad files, applicable to the field of software design. The solution first extracts pad parameters from a target file, then matches the target pad parameters to be calculated based on the pad type. Subsequently, it automatically calculates the design value of the target pad parameters using the calculation relationship between known pad parameters and target pad parameters. Finally, it generates an operation instruction sequence based on the pad name, pad type, known pad parameters, and the target pad parameters, and converts it into an executable target script file. The pad library file is generated by calling and executing the target script file. This process transforms repetitive parameter input, subjective experience judgment, and error-prone calculations in traditional manual design into data-driven automated computation. Batch execution via scripts eliminates parameter omissions or calculation errors caused by manual operation, ultimately improving design efficiency and accuracy.

The invention belongs to the technical field of micro-nano optics, and particularly relates to a large-view-field multi-wavelength achromatic double-piece cascade super-structure lens device and a design method and application thereof. The device comprises two cascaded super-structure lenses which are sequentially arranged from an object plane to an image plane, each cascaded super-structure lens is composed of achromatic super-structure atoms which are periodically arranged, incident light can be cooperatively regulated and controlled, and aberration correction is achieved while focusing is conducted. By optimizing the phase distribution of the two cascaded super-structure lenses and the distance between the two cascaded super-structure lenses and selecting adaptive achromatic super-structure atoms, the device can be adaptive to multiple wavelengths or specific single wavelengths. The design method of the device comprises the following steps: determining device parameters according to requirements, optimizing the phase distribution of the two cascaded super-structure lenses and the distance between the two cascaded super-structure lenses, and finally selecting adaptive achromatic super-structure atoms so as to complete the design. The device is suitable for multi-wavelength or specific single-wavelength, has the effects of large view field and high image quality, and can be applied to the fields of imaging modules, near-to-eye display, laser beam shaping, laser radar and the like.

The invention discloses a method for automatically generating rooting position and material information of a pipeline support in a cold box. The method is based on an AVEVA E3D platform, and comprises the following steps: firstly, constructing a standard pipe frame element comprising a bracket main body, an inclined strut and a stop block by utilizing an ATTA element, and predefining structural parameters and materials of the standard pipe frame element as designable variables; then, in the three-dimensional model of the cold box and the pipeline, selecting standard pipe frame elements of corresponding types according to needs, placing the standard pipe frame elements on the pipeline, assigning variables and automatically calculating coordinates, and forming a complete pipe frame three-dimensional model; and finally, according to a user instruction, automatically extracting indexes, rooting positions and material information of all the pipe frames, and outputting the information as a structured pipe frame information table which is directly used for guiding manufacturing and installation. According to the method, through parametric modeling and secondary development, rapid visual modeling and automatic data output of pipeline support design are achieved, design accuracy, intuition and working efficiency are remarkably improved, and labor hours and errors are reduced.

The application discloses a membrane shell design method of a dense-rib floor based on numerical simulation and relates to the technical field of the membrane shell design of the dense-rib floor, which comprises the following steps: screening a plurality of longitudinal rib parameter combinations; building a finite element numerical simulation model, carrying out self-adaptive mesh division, and then outputting simulation results of the longitudinal rib parameter combinations; screening an optimal longitudinal rib combination by using a multi-target optimization scoring algorithm, and if the deformation requirement is not met, entering the next step; setting a plurality of transverse rib parameter combinations; adding the numerical simulation model corresponding to the optimal longitudinal rib combination, outputting simulation results of the transverse rib parameter combinations; screening an optimal transverse rib combination; and combining the optimal longitudinal rib combination to form a final membrane shell scheme. By establishing double-level finite element numerical simulation of the longitudinal rib parameter combination and the transverse rib parameter combination, combining self-adaptive mesh division and a multi-target optimization scoring algorithm, the design efficiency and the design precision are improved while the design strength of the membrane shell of the dense-rib floor is ensured.

This invention discloses a digital twin-based optimization method and system for prestressed steel strand support in mines, belonging to the field of steel strand support technology. Addressing the problems of traditional support design relying on experience, poor dynamic adaptability, and difficulty in leveraging the advantages of new steel strands, this invention constructs a high-precision digital twin model of the mine roadway. With support safety, economy, and construction efficiency as comprehensive objectives, it optimizes parameters such as steel strand specifications, layout, and preload. The model is dynamically calibrated through real-time monitoring data, and an LSTM-random forest combined model is used to deduce the health evolution trend of the support system and provide graded early warnings. Standardized construction guidance documents are generated, forming a mechanism for design, construction, monitoring, and optimization. This invention can fully leverage the technical advantages of ultra-high elongation and hollow, low-relaxation steel strands, significantly improving the accuracy and safety of support design under complex geological conditions, and providing an integrated support solution for mines.

The application discloses a kind of based on theoretical calculation and fluid simulation radial static pressure spindle performance optimization design method, comprising the following steps: S1, establish the physical model of radial gas static pressure spindle gas film, and define gas film geometric parameter, throttling mode, load and boundary condition;S2, in combination with gas lubrication theory, based on Navier-Stokes equation and Reynolds equation mathematical model for describing radial static pressure spindle gas film pressure field and load capacity is established, and according to mathematical model calculation obtains theoretical pressure field and theoretical load capacity;S3, establish three-dimensional computational fluid dynamics simulation model and carry out simulation calculation, obtain simulation pressure field and simulation load capacity;S4, theoretical pressure field and theoretical load capacity are compared with simulation pressure field and simulation load capacity respectively, based on comparison result, correct mathematical model.The application innovatively combines theoretical calculation and CFD simulation calculation, solves the problem of low parameter matching efficiency and insufficient dynamic stability in traditional design.

The invention discloses a rupture disk residual thickness design method based on test calibration and simulation calculation. The rupture disk residual thickness design method comprises the steps that a real stress-strain curve of a rupture disk material is obtained; establishing a finite element simulation model of the rupture disk containing the nicks according to the real stress-strain curve of the rupture disk material; applying a load to the finite element simulation model for simulation to obtain a corresponding pressure value when the rupture disk is ruptured, and recording the pressure value as a simulated rupture pressure Psim; and comparing the simulated fracture pressure Psim with the target fracture pressure Ptarget, and obtaining a design value of the residual thickness of the nick according to a comparison result. The method can obviously improve the design precision and research and development efficiency of the residual thickness of the nick of the rupture disk, and has important guiding significance for production and application of the rupture disk.

The application provides a welding fixture parameterized design method and device, electronic equipment and a storage medium, and relates to the technical field of computers, and comprises the following steps: constructing a heterogeneous multi-modal graph according to multi-modal information, wherein the multi-modal information comprises three-dimensional geometric model data of a to-be-welded vehicle body part, welding process planning data and production line environment data; constructing a degree of freedom constraint matrix and a welding deformation potential energy constraint field through the heterogeneous multi-modal graph; encoding the heterogeneous multi-modal graph, the degree of freedom constraint matrix and the welding deformation potential energy constraint field as different semantic levels respectively to obtain a constraint condition context representation; and obtaining a target parameterized fixture layout scheme through the constraint condition context representation by using a semantic reasoning engine and a physical calculation engine. The application realizes improved welding fixture design efficiency.

The application discloses a suspension pipe rack construction method based on midas Civil software structure analysis, and relates to the technical field of pipeline crossing structure design. By establishing a main cable model, an initial linear shape is generated by using a built-in suspension bridge modeling assistant function of the software; a wind-resistant cable model is established, and the spatial linear shape of the wind-resistant cable is determined through independent modeling and iterative analysis; the main cable model and the wind-resistant cable model are combined to form a whole bridge integral model; material properties, section parameters, boundary conditions and construction stages are defined to perform structure balanced state analysis; operation load, maintenance load, wind load, temperature action and earthquake action are applied to perform load combination and structure response analysis. The application solves the problem that the mutual influence between the wind-resistant cable and the main cable is difficult to simulate in the traditional method, is suitable for complex suspension pipe rack structures such as large-span, wind-resistant cable and tower top cable disconnection, provides a standardized and reusable modeling method for pipeline crossing engineering design, and has good engineering application value.

The invention discloses a 500kV submarine cable multi-laying environment current-carrying capacity simulation and mutual influence analysis method, and belongs to the field of high-voltage direct-current power transmission and submarine cable engineering. In order to solve the problems that in the prior art, the calculation precision of downloading flow in a multi-laying environment is insufficient, and a quantification means is lacked for mutual influence of co-channel laying of alternating current and direct current submarine cables, the method is optimized through the following three steps: constructing a full-path thermal resistance chain network model covering six environments such as air and J-shaped pipes, and establishing a multi-environment coupling thermal circuit equation; designing an AC / DC submarine cable electromagnetic-thermal coupling analytical model, quantifying additional loss and temperature rise, and constructing a mutual influence coefficient matrix; a multi-model and multi-physics field hybrid simulation strategy is integrated to form a unified evaluation framework. The method improves the current-carrying capacity calculation precision and the safety margin, achieves the quantitative evaluation of the mutual influence of the AC and DC submarine cables, and provides support for the safe and economic design of an offshore wind power delivery system.

The application relates to the optical field and discloses a lens surface parameter acquisition method, a lens surface parameter acquisition device and a blackboard lamp lens. The lens surface parameter acquisition method comprises the following steps: obtaining a target parameter in the application of a lens. A target distribution curve is obtained through reverse fitting according to the target parameter. A corresponding relationship between a light source beam angle and the target distribution curve is established according to a preset algorithm and the target distribution curve. The surface parameter of the lens is calculated according to the target distribution curve and the corresponding relationship between the light source beam angle and the target distribution curve. The obtained lens can realize the target parameter in an application scene, effectively reduces a design cycle, improves design precision, reduces cost, and reduces the requirement for a designer.

The application provides an engine rotor blade tip multi-parameter design method, system and related device, relates to the rotor blade tip design technical field, and the design method comprises the following steps: S1, calculating a blade tip deformation amount, and drawing a blade tip thermal profile; S2, according to the blade tip thermal profile and the blade tip deformation amount, a blade tip final shape is drawn; S3, the deformation amount of a machine case is calculated, and a machine case cold profile is drawn; and S4, according to the machine case cold profile and the blade tip final shape, the cold installation gap of the blade tip and the machine case is determined. The application can ensure the safe operation of the engine under the condition of ensuring the performance requirements of the engine, and greatly improves the rationality of the gap design.

The invention discloses a self-shielding shimming coil system in a chip atom magnetometer and a design method, provides a shimming coil which is composed of two pairs of biplanar coils and has a self-shielding effect, and belongs to the technical field of magnetic field control. The design of the double-plane coil is convenient to install, and is beneficial to being integrated in a chip atom magnetometer. On the basis of a weighting algorithm and SVD decomposition, the coil design gives consideration to the magnetic field uniformity of a high shimming area and the magnetic field attenuation of a self-shielding area at the same time, meanwhile, the problem that the solution of a stream function coefficient matrix is unstable due to the morbidity of an intermediate coefficient matrix is solved, the coil design precision is improved, and the design cost is reduced. The problem of signal crosstalk between chip atom magnetometer array probes is solved, and the chip atom magnetometer array probe array can adapt to the fields of chip atom magnetometers, array type heart and brain magnetic measurement, miniaturized biological magnetic imaging devices and the like.