153 results about "Topology optimization" patented technology

The invention discloses a structural vibration reduction topological optimization design method based on anti-resonant frequency constraint. The method comprises the following steps: constructing a finite element model corresponding to structure parameters; obtaining an initial structure and an optimization column formula according to the finite element model; obtaining an objective function value through finite element analysis; obtaining an anti-resonance frequency correlation characteristic value through generalized asymmetric characteristic value analysis; and the design variables are updated in combination with optimization column constraints, and a topological optimization design configuration is obtained after convergence judgment. According to the method, explicit calculation and precise control of the dynamic compliance anti-resonant frequency are achieved, optimization and advanced convergence are avoided through anti-resonant frequency constraint, a clear vibration reduction topological configuration can be obtained under high-frequency excitation without additional mass, the vibration reduction performance and the static force bearing capacity of the structure are both considered, and the method is suitable for large-scale popularization and application. And the design requirements for light weight and high vibration attenuation of the structure in the fields of aerospace and the like are met.

The invention discloses a thermal metamaterial-based satellite component layout-deck structure integrated optimization design method, which belongs to the technical field of satellite thermal management, and comprises the following steps: carrying out geometric description on components, and carrying out interference calculation between the components; selecting a planar four-node rectangular unit discrete design domain, and representing a component temperature field as an interpolation relation of node temperature; designing an optimization target and constraint, converting the optimization target and constraint into a standard optimization column formula, and searching an optimal component layout scheme; the method comprises the following steps: carrying out topological optimization design on a satellite deck structure on the basis of a thermal metamaterial design idea, determining a thermal metamaterial function type and dividing a local deck design domain; discretizing each design unit, carrying out topological optimization design on the discretized design units, and searching a microstructure with the highest matching degree between the macroscopic equivalent heat conduction tensor and the theoretical heat conduction tensor of the central position of the design unit; and assembling the microstructure to obtain the deck structure. According to the invention, global thermal management and local thermal management of the satellite cabin can be realized.

The invention belongs to the field of material structure optimization, and particularly relates to an isogeometric topological optimization method based on dynamic response driving, which comprises the following steps of: (1) establishing a thin shell mid-plane geometric representation model based on a T spline and Bessel extraction technology; (2) establishing a frequency response-oriented isogeometric shell unit based on the Kirchhoff theory; (3) solving the aerodynamic response of the surface of the structure based on a high-order panel method of a T spline; (4) constructing a topology description model of the thin shell based on a Bessel unit; (5) establishing a structure dynamic flexibility minimum topological optimization model oriented to the dynamic response of the pneumatic thin shell; (6) dynamic flexibility minimization sensitivity analysis and derivation; and (7) updating optimization model design variables based on an optimal criterion method. According to the method provided by the invention, a pneumatic coupling thin shell dynamic isogeometric analysis framework is constructed, and the problems of poor geometric adaptability, difficulty in complex thin shell dynamic design, lack of pneumatic environment related to optimization and the like in an existing method are effectively solved.

The invention discloses a power distribution network-microgrid topological structure optimization method and device, and relates to the technical field of power grids, and the method comprises the steps: setting a composite constraint condition, calling target topological structure data, and carrying out the multi-target collaborative optimization, and obtaining topological structure optimization parameters; performing grid-connected and off-grid switching analysis, and constructing transient stability control data; and controlling the power distribution network-microgrid according to the topological structure optimization parameters in combination with transient stability control data to obtain operation stability parameters, performing a power grid simulation test to verify the topological structure optimization parameters, and performing iterative correction on the topological structure optimization parameters according to a verification result until a preset index is met. And generating a topological structure optimization scheme and performing control execution. The technical problem that high-reliability and multi-target collaborative optimization cannot be carried out on the power distribution network-microgrid topological structure in the prior art is solved, and the technical effects of obtaining a topological structure optimization scheme capable of dynamically adapting to operation condition changes and realizing reliable execution control are achieved.

The invention belongs to the technical field of energy storage string control, and discloses an active reconstruction control system for energy storage string dynamic equalization. The system comprises a battery unit health dynamic prediction module, a multi-target topological optimization algorithm module, a multi-target decision security verification module, a preventive management strategy planning module and an online calibration learning module, and calculates and predicts the health state of each battery unit in real time based on a preprocessed feature data set to obtain a battery health prediction report. The method comprises the steps of calculating an optimal string connection topology scheme based on a battery health prediction report, obtaining a multi-target optimization result report, obtaining a safety verification instruction report, formulating preventive maintenance suggestions based on the battery health prediction report, obtaining a long-term strategy suggestion report, and generating a model calibration report. The method has the remarkable advantages of being high in balance durability, high in multi-performance compatibility and good in battery model self-adaptive effect.

The invention relates to the technical field of data processing, in particular to an elastic frame optimization design method and system based on the finite element theory, and the method comprises the steps: constructing a nonlinear finite element model of an elastic frame, and for each node, determining the sealing reliability of the node based on the normal contact stress value, fluid pressure value and displacement vector of the node; for each unit, determining a fluid permeation trend factor of the unit based on the sealing reliability of the nodes in the unit, remodeling a material relative density iterative updating formula of the optimization criterion method by using the fluid permeation trend factor, updating the material relative density of each unit, generating an optimal topological configuration, and carrying out the optimal topological configuration; therefore, the optimal design of the elastic frame is completed. According to the method, the problem of high-pressure leakage caused by neglecting microscopic sealing in traditional topological optimization is solved, and synchronous optimization of the structural rigidity and the sealing performance under the ultrahigh-pressure working condition is achieved.

The invention relates to the field of machine tool stand column optimization, and provides a multi-target topological optimization method, device, equipment and medium for a machine tool stand column structure, and the method comprises the steps: carrying out the internal filling processing and target feature deletion processing of a three-dimensional structure of a machine tool stand column, and obtaining a target three-dimensional model; analyzing the target three-dimensional model to obtain column guide rail deformation information and column multi-order frequency; determining an optimization strategy based on the optimization constraint and the optimization target; the optimization constraint comprises upright post mass, upright post guide rail deformation information and upright post multi-order frequency; the optimization target is the total flexibility of the vertical column under multiple working conditions; based on the optimization strategy, reconstruction optimization is carried out on rib plates in the stand column at the positions of the bearing rib plates; the position of the bearing rib plate is determined based on an optimization area in the stand column. According to the method, through multi-target collaborative optimization of the machine tool stand column, the adaptability of the optimized stand column in actual use is improved.

The application relates to a structure lightweight design method based on a modified equivalent static load method, which comprises the following steps: step 1, establishing a finite element model of an initial structure to be optimized, and calculating linear equivalent static loads; step 2, calculating modulus proportionality coefficients of a plastic deformation stage of the structure to be optimized; step 3, modifying the equivalent static loads of the structure according to the calculated modulus proportionality coefficients; and step 4, carrying out nonlinear topology optimization according to the modified equivalent static loads to obtain an energy-absorbing point lattice cell configuration, and realizing structure lightweight design. The application is based on a material and geometric nonlinear numerical modified equivalent static load method, the equivalent static load method is modified through modulus proportionality coefficients and strain matrix correction coefficients, nonlinear topology optimization of the structure is realized, a three-dimensional model of the point lattice cell configuration is reconstructed according to an optimization result, a geometric parameterized model of the energy-absorbing point lattice cell configuration is obtained, and the model is used for lightweight design of the point lattice structure under a compression load working condition.

The application provides a continuous fiber reinforced composite material additive manufacturing stiffened structure impact resistance design method, B-spline parameterization characterization is performed on a macroscopic topological distribution pseudo-density field and a microscopic fiber orientation fiber direction field, and B-spline control parameters are used as optimization design variables; impact resistance topology optimization based on an equivalent static load method is adopted, dynamic nonlinear analysis is performed through external circulation, and the stiffened topology and the fiber direction are cooperatively optimized under the equivalent static load through internal circulation, so that the stiffened structure topology distribution and the fiber direction distribution are obtained; then, the B-spline parameter field is mapped to a physical space reconstruction grid, and the topological and fiber direction representation of the physical space is obtained; finally, a continuous path planning algorithm based on a vector field is used to generate a one-stroke continuous printing path. The application solves the problem that the existing method is difficult to consider dynamic impact response modeling, fiber path continuity control and additive manufacturing process constraints, and cooperatively improves the impact resistance performance and manufacturability.

This application discloses a vehicle body topology iteration method, apparatus, electronic device, and storage medium, relating to the field of vehicle design technology. The method includes: within a designable space, fabricating an inner wall shell and an outer wall shell based on the original surface of the vehicle body and the spatial boundary, respectively, and creating a partition between them to form a topological space filled with a plate-shell structure; then performing topology optimization analysis on the plate-shell topological space to obtain the topological result of material distribution; finally, iteratively evaluating and adjusting the topological result according to preset evaluation dimensions until a qualified topological result is obtained. This application can solve the problems in related technologies such as large differences between solid topology and thin-walled beam structures of the vehicle body, poor engineering conversion ability, and the lack of a systematic iteration mechanism leading to unreasonable material distribution and unclear engineering paths in the topology results. It can improve the matching degree between the topology results and the vehicle body engineering structure, enhance engineering practicality, and achieve a positive systematic optimal solution design for vehicle body performance.

The application discloses a time-varying reliability topology optimization method for a continuum structure, and comprises the following steps: constructing a time-varying random parameter initial model of the continuum structure based on continuum structure information; constructing a time-varying reliability topology optimization mathematical model according to the time-varying random parameter initial model; obtaining displacement, velocity and acceleration responses of the continuum structure based on the time-varying reliability topology optimization mathematical model; obtaining sensitivity information about random variables according to the displacement, velocity and acceleration responses; obtaining a global time-varying reliability index based on the sensitivity information; establishing a derivative relationship between an objective function and constraint conditions and design variables according to the global time-varying reliability index and an adjoint vector, and obtaining gradient information according to the derivative relationship; and optimizing the continuum structure according to the gradient information. The application realizes high-precision and high-efficiency reliability design of the continuum structure under a dynamic uncertain environment.

This invention relates to the field of optical fiber communication technology and discloses a hollow-core optical fiber topology optimization method based on mode analysis and moving asymptote method. This method constructs a hollow-core optical fiber topology optimization design system, which includes a geometric modeling module, a material parameterization module, a mode analysis solution module, an adjoint sensitivity module, an MMA update module, a continuous scheduling module, and a geometric shaping and verification module. By employing a hyperbolic tangent projection function, a grayscale imaginary part penalty term, and a multi-stage continuous strategy, grayscale suppression and binarization are performed to avoid interface blurring caused by grayscale materials and significant performance degradation after shaping. Ultimately, this ensures the consistency between the design results and actual manufacturing performance. Through the collaboration and continuous scheduling of each module, stable convergence of the optimization process and automatic generation of manufacturable structures are achieved. Therefore, this invention method possesses advantages such as a wide design space, strong structural manufacturability, stable optimization process, and improved performance.

The application provides a topology optimization method and device for embedded chip cooling. The application comprises the following steps: obtaining multi-physical field distribution data and material distribution factors, and normalizing to construct a condition characteristic vector; inputting the characteristic vector into a pre-trained generative model, and obtaining a latent variable characteristic increment through low-dimensional latent space single-step denoising reasoning; obtaining a material distribution factor differential evolution amount through a variational autoencoder decoder reconstruction; superimposing the updated material distribution factor and topology configuration, and performing cyclic iteration calculation until convergence. The scheme improves the topology evolution efficiency and multi-physical field adaptability, and optimizes the iteration convergence speed.

The invention discloses a roof reticulated shell splicing structure and a construction method, and belongs to the technical field related to building construction technologies, the roof reticulated shell splicing structure comprises a plurality of drum joints, and six butt joint assemblies are fixed to the outer portions of the drum joints at equal intervals; the butt joint assembly comprises a connecting rod, an inner cylinder is fixed in the connecting rod, four rows of telescopic springs are fixed in the inner cylinder, the outer end of each row of telescopic springs is fixedly connected with an extrusion block, and the extrusion blocks protrude out of the connecting rod; finite element analysis software is used for carrying out topological optimization on the tail plate so as to meet the preset strength and rigidity requirements under the target mold clamping force, an integrated reinforcing rib network is designed, and meanwhile, in a casting cavity at a pull rod penetrating hole, a plurality of connecting rods are arranged in the casting cavity at the pull rod penetrating hole. And a structure used for presetting the high-strength alloy steel sleeve is designed, so that the problem of complex reticulated shell assembly is solved, and the comprehensive construction risk is reduced.

The invention discloses an efficient heat transfer liquid cooling micro-channel structure based on topological optimization, which is characterized in that a multi-objective optimization mathematical model taking maximum temperature minimization and pressure drop minimization as objectives is established by constructing a multi-physics field coupling model, defining a design variable and an interpolation model, and iterative solution is carried out by adopting a filtering and projection technology; and the optimal micro-channel layout is obtained. The structure is composed of a main channel and branch micro-channels, the cross section of the main channel is designed in a gradual change mode, the branch micro-channels are distributed according to heat flux density, a smooth curved surface structure is adopted in the connecting position, heat transfer efficiency is effectively improved, flow resistance is reduced, collaborative optimization of heat dissipation performance and energy efficiency is achieved, and the structure is suitable for heat management of high-power electronic equipment.

The application discloses a multi-material structure topology optimization method, which innovatively applies Tsai-Wu criterion to multi-material structure topology optimization design, introduces a double-filter interface identification strategy, realizes accurate extraction of an interface phase field, and constructs a gradient interface finite element model based on a material proportion, then establishes an interface tension and compression state adaptive constraint method, and further adopts an adaptive threshold strategy to dynamically control the constraint tightness, so that full compression of the multi-material interface is realized at the algorithm level.

The invention discloses an isogeometric transient dynamics topological optimization method and system of a functional gradient plate structure, and belongs to the field of topological optimization design of functional gradient structures. According to the method, the problems of collaborative optimization of the gradient direction in the gradient material plane and the multi-material structure topology under the transient load effect and the like are solved. According to the technical key points, an isogeometric transient dynamics finite element analysis model of the functional gradient plate structure is constructed based on a reduced Gaussian integral method; constructing a smooth projection scheme and a material interpolation scheme of design variables of the functional gradient plate structure, and providing a transient dynamic topological optimization model of the functional gradient plate structure by taking the density of a control point and the volume fraction of a strong material attached to a plate unit as the design variables and the minimization of dynamic flexibility as a target; constructing a time domain adjoint equation of the topological optimization model, and obtaining sensitivity information of the target function; and finally, obtaining the optimal anti-vibration design of the functional gradient plate structure convenient for engineering application. The device is used for structural light-weight vibration reduction design of large engineering equipment under the strong vibration working condition.

This invention discloses a topology optimization method for the stiffening layout of an integrated die-cast and extruded electric vehicle underbody structure, relating to the field of electric vehicles. The method involves finite element mesh generation for the electric vehicle underbody structure, classifying the mesh into extrusion meshes and casting meshes based on the processing technology used for the components. The finite element mesh within a single component is further subdivided into design domains and non-design domains. For the casting design domain, a mathematical model of casting constraints is established to optimize the stiffening of thin-walled die-cast parts. For the extrusion design domain, an extrusion process constraint is applied to establish a mathematical model to optimize the internal stiffening of the cross-section. The mathematical model is solved to obtain the density distribution of each element, determining the stiffening layout form that satisfies both comprehensive service conditions and dual manufacturing process constraints. Based on the calculated element density distribution and load transfer path, the topology optimization results are reconstructed into a CAD model or mesh model with stiffeners.

The invention discloses an automatic reconstruction method and system for an isogeometric topology optimization result editable model, and the method comprises the following steps: obtaining an isogeometric topology optimization result, and obtaining hypersurface model data; extracting contour lines of each layer in a layered manner according to a set density threshold; arranging seed points through the contour line, dividing a background tetrahedral mesh, and deeply searching a mesh edge crossing a density threshold value; judging a corresponding relation between the contour lines, executing different reconstruction strategies according to different corresponding relations, and generating an NURBS curved surface by using an automatic skin technology and an adaptive fitting technology respectively; the contour lines at the opening are identified, the position relation between the cut area and the contour lines is determined, and cutting operation is executed to obtain a cut curved surface; and integrating the NURBS curved surface and the cutting curved surface, and outputting an editable entity. According to the method, the complexity of extracting the contour surface of the optimization result is effectively reduced, the precision of the result model is effectively improved, and the result has the advantages of editability and modifiability.

The invention provides an impact resistance design method for a continuous fiber reinforced composite material additive manufacturing reinforced structure, which comprises the following steps: firstly, carrying out B-spline parameterization characterization on a pseudo-density field in macroscopic topological distribution and a fiber direction field in microfiber orientation, and taking B-spline control parameters as optimization design variables; then shock resistance topological optimization based on an equivalent static load method is adopted, dynamic nonlinear analysis is carried out through outer circulation, collaborative optimization of reinforcement topology and the fiber direction is carried out through inner circulation under the equivalent static load, and reinforcement structure topological distribution and fiber direction distribution are obtained; mapping the B spline parameter field to a physical space reconstruction grid to obtain topology and fiber direction representation of a physical space; and finally, generating a stroke continuous printing path by adopting a continuous path planning algorithm based on a vector field. According to the method, the problem that dynamic impact response modeling, fiber path continuity control and additive manufacturing process constraint are difficult to consider at the same time in an existing method is solved, and collaborative improvement of impact resistance and manufacturability is achieved.

The application belongs to the field of aero-engine test, and particularly relates to a bird impact test group gun launching high-speed shell design method, which is based on the shape of a uniform thin-walled cylinder structure shell, constructs a three-dimensional numerical simulation model of the shell and a shell ejection device, calculates stress and deformation results of the shell when the shell impacts the shell ejection device at a high bird speed, and finds out stress weak positions and displacement weak positions of the structure; the minimum size bird body that can be accommodated in the middle section and the rear section of the shell is taken as a constraint, the minimum inner diameters of the middle section and the rear section of the shell and the optimal buckling mode of the shell are taken as optimization targets, and the shell structure is subjected to topology optimization to obtain an initial shell profile; the internal stress of the shell does not exceed the material failure stress, and the total mass of the shell does not exceed the original mass, which are taken as constraint conditions, and the maximum energy absorption of the front end of the shell and the minimum deformation of the middle section and the rear section are taken as optimization targets, and the shell structure is subjected to topology optimization of size and shape to obtain an optimized shell.

The invention relates to a lattice structure performance characterization and optimization design method based on laser powder bed melting, and belongs to the technical field of additive manufacturing and structural design. The method aims at improving the mechanical property of a traditional BCC lattice structure under complex loads. The equivalent Young modulus of the lattice structure can be effectively represented by providing a lattice performance characterization method based on large unit cell hypothesis and establishing an analytic relationship between the equivalent Young modulus and the relative density of the lattice. In addition, topological optimization design of the BCC dot matrix is carried out by adopting an SIMP method, and redundant struts are removed and the structural shape is optimized by taking maximization of the equivalent Young modulus of the dot matrix as an optimization target. Finally, compared with a traditional BCC dot matrix, the T-BCC dot matrix structure manufactured through the LPBF process shows higher rigidity and strength. According to the optimization design method, the compression resistance of the lattice structure can be improved on the premise that the light weight of the lattice structure is kept, and the method has wide application prospects in the field of high-end equipment such as aerospace and automobiles.

The present application provides a method and apparatus for optimizing a housing of an electric drive controller, a computer device, and a storage medium. The method comprises: simulating an all-in-one electric drive loading state by means of adjusting coordinates of a simulation analysis model and adjusting rubber stiffness of a suspension support (201); setting a modal optimization boundary, determining an equivalent acoustic power, and loading electromagnetic excitation (202); on the basis of a design scheme of an electric drive assembly and layout space of a whole vehicle, determining an optimized design space model of a housing (203); on the basis of a topology optimization result of topology optimization analysis performed on the optimized design space model, obtaining a material density distribution of the housing (204); and on the basis of the material density distribution of the housing, determining a surface topography topological feature distribution of the housing (205).

Some embodiments of the invention provide an Al-enabled method for integrated circuit (IC) architecture discovery, circuit topology and parameter optimization. The method of some embodiments explores the high dimensional design space beyond human intuition and extracting circuit features, configurations and designs unidentifiable to human experts in a variety of tasks. The method of some embodiments is used for RFIC architecture discovery, circuit topology and parameter optimization. For instance, the method of some embodiments provides an automated design flow for RFICs (e.g., RF or mmWave IC) that allows: (1) architecture selection, (2) circuit topology optimization, (3) parameter optimization, and (4) inverse design EM synthesis in a non-intuitive design space. In some embodiments, the method automates the synthesis of high-performance power amplifier (PA) circuits for transmitter systems, leveraging a combination of reinforcement learning (RL) and inverse design to optimize respectively active and passive components in the design. Some embodiments of the invention provide an Al-enabled method for integrated circuit (IC) architecture discovery, circuit topology and parameter optimization. The method of some embodiments explores the high dimensional design space beyond human intuition and extracting circuit features, configurations and designs unidentifiable to human experts in a variety of tasks. The method of some embodiments is used for RFIC architecture discovery, circuit topology and parameter optimization. For instance, the method of some embodiments provides an automated design flow for RFICs (e.g., RF or mmWave IC) that allows: (1) architecture selection, (2) circuit topology optimization, (3) parameter optimization, and (4) inverse design EM synthesis in a non-intuitive design space. In some embodiments, the method automates the synthesis of high-performance power amplifier (PA) circuits for transmitter systems, leveraging a combination of reinforcement learning (RL) and inverse design to optimize respectively active and passive components in the design.

This invention discloses a control method, storage medium, and system for welding additive manufacturing, relating to the field of welding additive manufacturing. The control method includes scanning the workpiece to be repaired and its in-service mating part, establishing a base model and a current morphology model respectively; acquiring the load and boundary conditions of the workpiece to be repaired; generating an initial digital repair body, and then performing virtual assembly and fit clearance analysis between it and the mating part model; based on the clearance analysis results, as well as the load and boundary conditions, performing stress topology optimization calculations on the initial digital repair body to generate a target digital repair body with optimal performance; finally, controlling the system to perform welding deposition. This invention breaks through the traditional repair mode that only restores geometry, realizing intelligent repair based on multi-source data fusion and performance-driven principles. It can significantly improve the fit performance and service life of the repaired components, effectively preventing premature failure.

The invention discloses a fiber reinforced composite material variable stiffness reliability multi-scale optimization design method, and belongs to the technical field of composite material structure reliability optimization design. The method comprises the following steps: constructing a composite material multi-scale reliability topological optimization model considering material and load uncertainty; an improved single-cycle single-vector chaos control (SLSV-MCC) method is provided, and probability constraints are efficiently and accurately processed by adopting a current design point gradient and a stable factor; and in combination with a normal distribution fiber optimization (NDFO) model, parameterizing a discrete fiber angle to realize synchronous optimization of a macroscopic topology and a microcosmic fiber path. According to the method, the problems of low calculation efficiency and unstable convergence when the existing method is faced with multi-scale and strong-nonlinearity problems are effectively solved, and a lightweight composite material design scheme with high reliability in an uncertain environment can be obtained.

This invention discloses a multi-objective topology optimization method for aircraft design, belonging to the field of aerospace technology. The method includes: establishing a three-dimensional geometric model and defining the optimization region and aerodynamic preservation region; describing the structural boundary using level set functions; applying volume and manufacturing constraints with the objectives of maximizing stiffness and natural frequency; constructing a comprehensive objective function that minimizes the distance between ideal points using a compromise programming method; transforming the constraint problem using the augmented Lagrangian method; calculating shape sensitivity and deriving the normal velocity field; updating the level set functions to drive topology evolution; iterating until convergence to generate a Pareto front solution set; selecting the optimal solution and reconstructing it into a manufacturable three-dimensional model. This invention solves the multi-objective collaborative optimization problem while preserving the aerodynamic shape, resulting in clear boundaries, strong manufacturability, and significantly improved structural performance and engineering applicability.

The invention relates to the technical field of carbon dioxide capture, in particular to a carbon capture structured filler design and optimization method based on fluid topological optimization, which comprises the following steps: constructing a carbon capture reaction design domain geometric unit, taking a filler basic unit as a core, and setting a fluid inlet and outlet extension section, distinguishing a fluid domain, a solid domain and a transition state between the fluid domain and the solid domain through a continuous material density field, and defining boundary conditions such as a gravitational field matched with an actual absorption tower and adiabatic slippage-free boundary conditions; establishing a polynomial modified topological optimization multi-physics field coupling equation set, introducing a polynomial improved Darcy interpolation function to optimize fluid-solid interface characteristics, and meanwhile, improving numerical stability by combining a filtering method and a projection method; on the basis of the modeling solving platform, a global convergence moving asymptote method is adopted for iterative solving, and a carbon capture filler structure with a fine and complex flow channel is generated; the problems that traditional filler design depends on experience, the design freedom degree is low, and the optimization efficiency is limited can be solved.

The invention discloses an autoclave forming mold with a metal sliding block temperature control function and a sliding block thickness optimization method. The mold molded surface is arranged at the top of the support, a guide rail groove is formed in the bottom of the mold molded surface, and a plurality of sliding blocks are installed in the guide rail groove in a sliding mode; during heating, the thick sliding block absorbs heat to inhibit the heating rate, and during cooling, the thick sliding block releases heat to compensate for heat loss, so that the molded surface temperature difference in autoclave molding of a large composite material component is remarkably reduced; the problems of non-uniform local curing, performance reduction and thermal expansion deformation caused by temperature difference are effectively solved, and the product quality and the size precision are improved; the modular guide rail sliding block design supports flexible adjustment of the position, the thickness and the distance, compared with topological optimization, the modular guide rail sliding block design has higher process adaptability and machinability, and rapid optimization and iteration aiming at different process conditions are achieved by combining parametric modeling and an automatic optimization technology.

The application provides a design method and device of a super-deep cold component thermal cutoff part and related equipment, and comprises the following steps: establishing a design domain of a thermal cutoff part on a main support structure connected with a liquid nitrogen cavity and an outer Dewar cavity; obtaining a target distribution position of the thermal cutoff part through thermal coupling topological analysis; performing parameterized modeling at the target distribution position; performing parameter optimization to obtain a target shape of the thermal cutoff part; and checking the thermal cutoff part with the target shape at the target distribution position. The design method optimizes the distribution position and shape of the thermal cutoff part, specifically, the optimal distribution position of the thermal cutoff part is determined by using a structure topological optimization method, and the optimal shape of the thermal cutoff part is determined by using a structure parameter optimization method, so that the heat from the outside is as low as possible to be transmitted to the superconducting coil.