2908 results about "Design methods" patented technology

The invention relates to the technical field of building design and digitization, and discloses an automatic design method for a special-shaped facing structure based on parametric modeling. The method comprises the following steps: firstly, acquiring a geometrical characteristic parameter set of the special-shaped facing structure, wherein the geometrical characteristic parameter set comprises curved surface curvature distribution, boundary constraint conditions and a material attribute threshold value; thirdly, according to the curved surface curvature distribution, generating an initial geometric topological grid by using a dynamic subdivision algorithm, adjusting node positions according to boundary constraint conditions to obtain an optimized structural framework, and performing layered mapping on material attribute thresholds to generate a material distribution map; then, the input parametric modeling engine generates a three-dimensional parametric model, finally, a self-adaptive adjustment strategy graph is constructed through a multi-objective optimization algorithm, and a final design scheme is output. By means of the method, automation of design of the special-shaped facing structure is achieved, design efficiency and accuracy are improved, material utilization is optimized, scheme adaptability is enhanced, and design process collaboration is improved.

The invention discloses a thin-wall structure lightweight design method based on additive manufacturing, and belongs to the technical field of additive manufacturing, and the thin-wall structure lightweight design method comprises the following steps: S100, designing an initial structure based on function and performance mapping; s200, an additive manufacturing process knowledge base is constructed, and the adaptability of the additive manufacturing process is evaluated; s300, carrying out process and structure bidirectional coupling finite element analysis; s400, collaborative optimization of a process and a structure driven by a multi-objective optimization algorithm; s500, feature part manufacturing verification and design and process scheme iterative optimization are carried out; and S600, generating a design and process integrated scheme, wherein the integrated scheme comprises design parameters and manufacturing parameters. The technical problem that in the prior art, the structure optimization target and the manufacturing adaptive capacity are lack of collaboration can be solved.

The invention relates to the technical field of structure optimization design, and particularly discloses a box-type beam structure lightweight design method based on topological optimization, which comprises the following steps: constructing a multi-physics field coupled three-dimensional parameterized model, and performing cross-scale analysis on integrated structure rigidity, thermal deformation, vibration mode and fatigue life to obtain a three-dimensional parameterized model; a variable density method and level set method mixed topological optimization strategy is adopted, and an initial material distribution scheme meeting the structural function integrity is generated by modeling the relationship between density and stress strain; starting a quantum genetic algorithm and deep reinforcement learning fused intelligent optimization engine; according to the method, through the multi-physics field coupled three-dimensional parameterized model, a variable density method and level set method mixed topological optimization strategy is combined, the relation between the structural lightweight target and the additive manufacturing process is effectively balanced, multi-physics field analysis of thermal response, vibration, fatigue and the like is introduced, and the structural lightweight target is obtained. And it is guaranteed that the box-type beam meets the mechanical property and other functional requirements in actual application.

The invention relates to the technical field of mechanical engineering, in particular to a three-dimensional simulation design method and system based on an elevator structure. The method comprises the following steps that an elevator structure drawing is obtained; a three-dimensional elevator assembly is constructed according to the elevator structure drawing; lift car static load simulation is conducted according to the three-dimensional elevator assembly, and lift car static load data are obtained; detecting the structural strength of the lift car based on the lift car static load data; evaluating welding defects based on the structural strength of the lift car, and generating welding defect data; identifying a weld weak area according to the welding defect data; determining the abrasion loss of the car structure based on the weld weak area; according to the lift car structure abrasion loss, the lift car bottom plate fracture risk is predicted; carrying out welding optimization design based on the fracture risk of the bottom plate of the lift car to obtain welding optimization design data; and traction and traction simulation is conducted according to the three-dimensional elevator assembly, and traction and traction data are obtained. Based on the mechanical engineering technology, the safety and stability of the elevator structure are improved, and the design precision and efficiency are remarkably improved.

The invention relates to a spinel multi-objective reverse design method based on machine learning and a Bayesian optimization algorithm, electronic equipment and a storage medium, and the design method comprises the steps: firstly extracting related data of a spinel material from a database, and constructing a balanced data set through preprocessing; feature engineering is carried out, a comprehensive feature set is constructed, and key features are reserved; then training a multi-target prediction model through hyper-parameter optimization by using a multi-task gradient elevator model; and finally, integrating to a Bayesian reverse design framework, expanding a design space through a specific encoder, and combining a Gaussian process proxy function and an expected hyper-volume improvement criterion to screen candidate materials meeting conditions and verify performance, thereby completing reverse design optimization. Compared with the prior art, the intelligent and efficient spinel novel multi-target reverse design method can be used for solving the problem of data scarcity, and development of high-performance spinel solar cell materials is accelerated.

The invention relates to the technical field of aero-engines, and discloses an automatic design method for aero-engine turbine blades, which analyzes design requirements through a language large model, combines a retrieval enhancement technology and a turbine blade expert knowledge base, performs interdisciplinary coupling verification by utilizing a step-by-step reasoning template, and generates and optimizes part design schemes and parameters. And then calling parametric modeling and an AI simulation agent model to carry out multi-physics field prediction, comparing a result with a requirement, if the result meets the requirement, outputting design, otherwise, automatically iterating and adjusting parameters until the parameters reach the standard or reach the maximum number of iterations. According to the method, end-to-end intelligent closed-loop design from design requirements to design results can be realized, manual intervention is reduced, a design scheme meeting performance requirements can be quickly generated, the design efficiency can be improved, the design cost can be reduced, and the design quality can be improved.

The invention discloses an optimization design method of a large-model-driven mechanical part, which comprises the following steps of: performing knowledge retrieval according to a design task and a constraint condition, and generating text description of a structure design scheme by fusing the retrieved knowledge through a large-scale language model (LLM); the LLM performs task decomposition and modeling code mapping on the structure design scheme described by the text, and generated modeling codes are directly executed by modeling software to generate a three-dimensional model; the LLM generates a reasoning track and calls a finite element analysis tool set to perform performance analysis on the generated three-dimensional model; and according to optimization requirements and design constraints, the LLM optimizes the three-dimensional model to generate an optimal three-dimensional model. The invention discloses an optimization design system of a large model driven mechanical part. The optimization design system comprises a design scheme generation module, a parametric modeling module, a design scheme verification module and a structure parameter optimization module. The method and the system provided by the invention can save code quantity, reduce manual intervention and improve design efficiency.

The invention discloses a building facade optimization method and system based on sustainable analysis, and relates to the technical field of data processing. According to the method, parametric modeling is carried out on the external facade of a target building, and a design space is defined; training a machine learning model integrating energy consumption, carbon emission, cost and lighting prediction functions by using historical data; building an optimization problem by taking external facade parameters as decision variables and taking minimization of energy consumption, carbon emission and cost and maximization of lighting as targets, and automatically generating an optimal scheme set by adopting a multi-target optimization algorithm; a decision maker is assisted to select a final scheme through a visual interface, and a corresponding BIM model is output; the method effectively solves the problems that a traditional design method is difficult to coordinate multi-target conflicts, depends on experience and is low in efficiency, and can automatically and intelligently generate an optimal design scheme which is energy-saving, low-carbon, low-cost and good in lighting performance.

The invention discloses a lightweight design method for a thin-wall structure containing a flow channel based on additive manufacturing, and belongs to the technical field of additive manufacturing, and the lightweight design method comprises the following steps: S100, analyzing functional requirements, and constructing a functional requirement model containing the flow channel; s200, a printing direction and additive manufacturing constraint conditions are set, topological optimization is executed on the function demand model, and a preliminary topological structure is obtained; s300, carrying out geometric reconstruction on a topological optimization result to obtain a three-dimensional model suitable for additive manufacturing; s400, carrying out parameter optimization design; s500, the section shape and size of the runner are optimized based on fluid performance requirements; and S600, additive manufacturing manufacturability inspection is conducted on the structure with the section shape and size optimized. And S700, the model obtained after additive manufacturing manufacturability optimization is analyzed and checked. The technical problems that in the prior art, the design requirement of a thin-wall structure containing a runner cannot be met, and the forming quality and the section shape of the inner surface of the runner are difficult to accurately control can be solved.

The invention discloses an assembly type composite floor slab cast-in-place section span beam joint design method based on digital twinning, and relates to the technical field of intelligent construction, the method comprises the following steps: adopting a least square optimization algorithm to obtain a material performance correction parameter and a geometric compensation parameter; based on the historical material performance correction parameters and the geometric compensation parameters, training the structure model through a genetic algorithm to generate a digital twin reference model; inputting the material performance correction parameters and the geometric compensation parameters into the digital twin reference model, performing multi-scale finite element analysis, and outputting a multi-scale node performance evaluation report; identifying a multi-scale node performance influence factor and a sensitive area by adopting a response surface method, outputting a design parameter sensitivity analysis result, and converting the multi-scale node performance influence factor into a preliminary node design scheme through a design parameter conversion algorithm; according to the method, the real-time accuracy of node design is remarkably improved through least square dynamic parameter correction.

The invention relates to a wind turbine airfoil profile parameterization design method based on physical constraint data driving, which comprises the following steps: constructing a physical information neural network model based on a Bezier curve, inputting geometric parameters of an airfoil profile according to a design requirement, and generating an initial airfoil profile meeting a physical constraint requirement; converting the initial airfoil into coordinate point data, inputting the coordinate point data into an aerodynamic performance analysis module, and calculating an aerodynamic performance index; establishing a deep reinforcement learning model, and optimizing the initial airfoil profile by using a reward function and taking an aerodynamic performance index as an optimization target; and carrying out aerodynamic performance evaluation on the newly generated airfoil profile through iterative optimization until the aerodynamic performance index of the airfoil profile reaches an optimization target or converges, and obtaining a new airfoil profile which meets design requirements and is excellent in aerodynamic performance. According to the method, the airfoil design efficiency and quality are effectively improved, the dependence on the experience of a designer is reduced, and an efficient and reliable technical approach is provided for the airfoil design of the wind turbine.

The invention relates to the technical field of automobile design, and particularly discloses an automobile wind resistance optimization design method based on a machine learning model, and the method comprises the steps: collecting data of different automobile types, and carrying out the cleaning and standardization processing; constructing a wind resistance prediction model, training the model by using the preprocessed data, and minimizing a prediction error by adjusting model parameters; key design variables are selected, the variation range of the key design variables is determined, and a parameterized model is constructed; selecting sample points in a design variable space, generating a corresponding geometric model, calculating a wind resistance coefficient and establishing a sample point database; dividing sample point data into a training set and a test set, optimizing a machine learning model, searching an optimal solution in combination with an optimization algorithm, and iteratively updating the model by increasing sample points until the precision requirement is met; an optimal design variable combination is determined, an optimized automobile geometric model is generated, CFD simulation verification is carried out, and a design scheme containing detailed parameters and optimization results is output.

The invention provides a design method and device of a metallurgical pipeline and a program product, path planning design of the metallurgical pipeline is carried out in a pre-constructed three-dimensional metallurgical factory scene, the three-dimensional metallurgical factory scene is constructed through an imported building structure model, and the three-dimensional metallurgical factory scene comprises arrangement information of equipment and structural members of a building. The design method comprises the following steps: S1, acquiring a starting point position, an end point position, a prohibited area, process parameters and constraint conditions of a metallurgical pipeline input by a user; and S2, according to the starting point position, the terminal point position, the forbidden area, the process parameters and the constraint conditions, performing path search in the three-dimensional metallurgical factory scene through a predetermined path planning algorithm and a pre-trained pipeline layout prediction model to obtain a metallurgical pipeline planning path. By means of the technical scheme, the design efficiency can be improved, the construction cost is reduced, and the building safety is ensured.

The invention discloses a digital modeling steel structure multi-dimensional collaborative optimization design method and system, belongs to the technical field of steel structure design, and aims to solve the problems that multi-dimensional comprehensive consideration and automatic optimization tools are lacked, and complex multi-objective optimization requirements are difficult to quickly respond. Comprising the steps of establishing a full-parameterized digital model containing construction process parameters and environmental protection indexes, constructing a multi-objective evaluation system of structural safety, economical efficiency, construction feasibility and environmental influence, performing automatic optimization by adopting an improved multi-objective evolutionary algorithm, selecting 10 groups of candidate schemes, generating a visual interface, supporting human-computer interaction decision, and generating an optimization report. According to the method, multi-dimensional collaborative optimization is realized by constructing a multi-target evaluation system of structural safety, economy, construction feasibility and environmental influence, construction process parameters and environmental protection indexes are integrated through the digital modeling unit, it is ensured that factors of all parties are comprehensively considered in design decision, and the design efficiency is remarkably improved.

The present application relates to a BIM-based hanging basket design method, computer device and computer-readable storage medium, wherein the design method comprises following steps: a parameter acquisition step; a hanging basket modularization step: decomposing structures of hanging baskets into a plurality of design modules; a selection step; a calculation step: calculating parameters of the design modules using a structural mechanics calculation method and / or a finite element calculation method; preliminary BIM model building step: building models of the design modules and a preliminary BIM model of the hanging basket; an optimization iteration step: converting the preliminary BIM model of the hanging basket into a finite element model for calculation, and feeding calculation results back to the preliminary BIM model for structural adjustment, repeatedly performing iterative calculations to obtain optimized hanging basket parameter data; final BIM model acquisition step: the BIM model of the hanging basket adjusted according to the optimized hanging basket parameter data is a final BIM model of the hanging basket. The design method enables autonomous calculation and design of the hanging basket with good versatility.

The invention provides an intelligent costume design method fusing AI and CAD technologies, and belongs to the technical field of intelligent design, and the method comprises the steps: building a parameterized CAD engine based on NURBS curve modeling and a topological correlation algorithm; performing intelligent classification and component segmentation on the input sketch, and obtaining a matched parameterized model based on a parameterized CAD engine to generate a reusable component; matching and recommending a plurality of reusable components based on an AI technology to obtain a similar version, analyzing the sketch and the similar version, and recommending an optimal component combination scheme; a distributed collaborative design mechanism is constructed, when the same part of the combined sample clothes of the optimal part combination scheme modified by multiple persons is received, conflict points are automatically prompted through operation log comparison, version combination suggestions are provided, and a 3D sample clothes effect picture is output for a user to judge. The problems that traditional design is low in efficiency, prone to making mistakes and difficult to cooperate are solved, and technical support is provided for intelligent design innovation.

The invention belongs to the field of vehicle industry design, and discloses an electric bicycle form design method and system, electronic equipment and a storage medium, and the method comprises the steps: mining user emotion vocabularies through online comments, constructing an emotion lexicon in combination with an improved word frequency-inverse document frequency algorithm and a D-S evidence theory, and screening out key perceptual vocabularies; constructing a convolutional long-short-term memory neural network model optimized by a snake swarm algorithm to realize a mapping model between customer sensibility and product morphological characteristics; carrying out subjective and objective comprehensive evaluation on the design scheme in combination with an eye movement experiment and subjective evaluation so as to screen out an optimal design scheme; an optimal scheme is selected and input into a generative AI platform for multi-angle visual rendering, ergonomic modeling and aerodynamics simulation are assisted, and the structural feasibility and performance are verified. The method provides systematic technical support for emotional value improvement and design optimization of industrial products.

The invention relates to the technical field of laser cutting equipment, and discloses a laser cutting machine tool real-time design method based on digital twinning. The method comprises the following steps: acquiring real-time operation data from distributed sensor nodes, wherein the real-time operation data comprises design change historical records and laser cutting track information; in a digital twin fusion design mode, performing compensation check on a design change historical record to obtain a design attribute index, and determining a trajectory interaction period of a design object on a cutting path according to the design attribute index; processing path information is obtained, risk characteristics are analyzed, cutting node risk data are obtained, and the risk situation level is determined in combination with laser cutting track information; and according to the track interaction period and the risk situation level, a dynamic design blind area in the laser cutting design process is optimized and adjusted. According to the method, the real-time data technology and the digital twinning technology are fused, the real-time performance and accuracy of design can be improved, and dynamic changes of a complex processing environment can be coped with.

The invention relates to an air tightness detection tool and detection system integrated design method in the field of air tightness detection equipment, and the method comprises the steps: obtaining product form data, extracting shape, size and material information from a product three-dimensional model database, calculating the key points of the outer contour of a product through a geometric feature analysis algorithm, and calculating the shape, size and material information of the product; determining product form diversity parameters; a clamp, an inflation system and a sorting module are decomposed into independent functional units through a modular design structure algorithm, a standardized interface protocol is generated, and physical connection and data interaction modes among the modules are determined; and according to the final tool design parameters, a solid fixture is generated by adopting a three-dimensional printing technology, a robot is controlled through an automatic assembly algorithm to complete integration of the fixture, an inflation module and a sorting module, and an air tightness detection system which can be put into production is obtained.

The invention discloses a granary design method and device based on a three-dimensional model, equipment and a storage medium, and the design method comprises the steps: obtaining the original feature information of a target granary, carrying out the preprocessing of the original feature information, and obtaining the feature information after preprocessing; based on the preprocessed feature information, generating a three-dimensional model of the target granary by using a building information model technology; obtaining a target granary design model matched with the three-dimensional model from a pre-stored model database; performing a simulation test on the target granary design model to obtain a simulation test result at least including grain storage safety, full life cycle cost and extreme working condition adaptability; and judging the simulation test result according to a preset judgment standard. According to the method, multiple technologies are fused, granary design data are accurately collected, three-dimensional modeling, simulation evaluation and scheme optimization are realized through intelligent algorithm processing, the grain storage safety can be greatly improved, the cost is reduced, and the design efficiency and quality are improved.

The invention provides a building self-correction design method and system based on a big language model, a design experience library and a design rule library are formed by using a BIM model of a historical design scheme and design specifications, and when a new project is designed, the big language model can be used for searching and understanding a historical experience knowledge library, and reasoning ability, so that the design efficiency is improved. Intelligent optimization suggestion is carried out on existing design parameters, the compliance of the suggestion is ensured through retrieval and understanding of a rule base, and finally semi-automatic or automatic correction of building design is achieved.

The invention provides a building structure design method and device based on a large language model and multi-level graph characterization, the method is achieved through planning of a building structure design planner, the building structure design planner is obtained based on large language model supervision and fine tuning, and the method comprises the following steps: on the basis of a pre-trained building structure designer, the multi-level graph characterization is carried out; constructing a multi-level map according to the initial building design drawing and the basic parameter information of the building structure design; the building structure designer is constructed based on a large language model, and the multi-level atlas comprises a building contour level atlas, a building space level atlas, a building component level atlas, a potential structure level atlas, a structural component level atlas and a component size level atlas; and obtaining a target building structure design drawing according to the multi-level map. According to the method, the multi-level graph representation of the building design information is combined with the semantic reasoning capability of the large language model, so that the general intelligent design of the building structure is realized, and the design efficiency and the design scheme quality are remarkably improved.

The invention relates to the technical field of model design, in particular to an integrated design method and system for a three-dimensional simulation model of a natural gas burning gun. The method comprises the following steps: collecting geometric parameters and operation parameters of a natural gas burning gun to obtain initial equipment parameter information; performing laser micro-texture treatment on the inner surface of a combustion chamber of the natural gas combustion gun to generate periodic micro-groove array data; constructing a three-dimensional initial model of the natural gas burning gun through three-dimensional modeling software based on the initial equipment parameter information and the periodic micro-groove array data; and acquiring natural gas fuel characteristic data, inputting the fuel characteristic data into the three-dimensional initial model for combustion process simulation, and performing multi-dimensional evaluation on the simulated combustion process to generate a combustion process evaluation result. Through three-dimensional modeling, combustion simulation and dynamic optimization adjustment, the problems of low efficiency, large optimization difficulty, lack of real-time feedback and the like in traditional design are solved, and the design precision and combustion performance of the natural gas combustion gun are remarkably improved.

The invention provides a special-shaped air film hole thermal mechanical fatigue simulation part design method, which comprises the following steps of: 1, analyzing the strength and the service life of a turbine blade, and identifying a key part of the service life of a special-shaped air film hole; 2, determining that the thermal mechanical fatigue simulation piece is of a hollow structure; 3, parameters of a clamping part of the hollow simulation piece are stipulated; 4, determining the mechanical stress of the key part through three-dimensional finite element simulation of the turbine blade; 5, verifying the included angle between the principal stress direction and the growth direction of the key part of the simulation part; step 6, measuring stress by using a strain gauge under a normal-temperature initial mechanical load, and verifying whether the load is compliant or not; 7, performing three-dimensional finite element simulation analysis on the temperature field of the test piece and calculating thermal stress; 8, controlling the thermal stress distribution of the section of the simulation piece by controlling the temperature distribution; step 9, when cooling gas is introduced into the inner cavity of the special-shaped gas film hole simulation piece, carrying out a thermal mechanical fatigue test by adopting an in-phase mechanical-temperature load; and step 10, optimizing the structure of the special-shaped gas film hole and analyzing the strength.

The invention discloses a buckling-restrained brace design method based on mechanical property parameters, and relates to the field of anti-seismic component design method.The buckling-restrained brace design method comprises the following steps that the lengths and section sizes of an energy dissipation section, a transition section and a connecting section of a buckling-restrained brace are calculated according to the mechanical property parameters of the buckling-restrained brace in an actual structure; calculating the section size of the constraint steel sleeve according to an elastic stability theory; the wall thickness of the constraint steel sleeve is calculated according to the local stability theory, and the strength grade of the concrete filler is determined; determining the width-to-thickness ratio of the section of the connecting section according to a torsion instability theory; calculating the thickness of the unbonded material according to the Poisson effect when the energy consumption unit is pressed; the series stiffness of the connecting section, the transition section and the energy consumption section of the energy consumption unit is calculated, and the consistency of the series stiffness and the actual elastic stiffness of the buckling-restrained brace is checked. According to the method, the performance-based parameterized design of the buckling-restrained brace product can be realized according to the mechanical property parameters of the buckling-restrained brace provided by a structure engineer.

The invention provides a one-dimensional pneumatic design method and device for an axial flow compressor, and belongs to the field of axial flow compressor pneumatic design. The method comprises the following steps: taking values of a plurality of design variables as the state of a reinforcement learning agent; the intelligent agent outputs the adjustment amount of the design variable according to the state, and the adjustment amount serves as the action executed by the intelligent agent; applying the action to the value of the current design variable to obtain an updated design variable; utilizing a one-dimensional inverse problem design program to generate a one-dimensional pneumatic design scheme of the gas compressor; utilizing a one-dimensional normal problem analysis program to output performance indexes; constructing a reward function according to the performance indexes; based on feedback provided by the reward function, a depth deterministic strategy gradient algorithm is adopted to train the intelligent agent; and performing one-dimensional pneumatic design of the gas compressor by using the trained intelligent agent. According to the method and device provided by the invention, the problems that the one-dimensional design of the axial flow compressor depends on experience, the efficiency is low, automatic optimization is difficult and the response is slow can be solved.

The invention discloses a 3D printing self-adaptive wing design method based on generative artificial intelligence, and relates to the crossing field of 3D printing and artificial intelligence. In order to solve the technical problems of complex manufacturing, low reliability and large weight of a traditional process in the prior art, the technical scheme provided by the invention comprises the following steps: pre-training a large language model to obtain a trained basic model; receiving self-adaptive wing structure design parameters input by a user and generating a design scheme script; calling three-dimensional modeling software, automatically establishing a wing three-dimensional model based on the design scheme script, and outputting a model file; calling simulation analysis software, performing wing performance simulation analysis based on the model file, and outputting analysis result data; and calling the basic model to carry out design scheme evaluation and iterative optimization based on the analysis result data until an optimized model file meeting the design requirement is generated. The method can be applied to intelligent design and automatic manufacturing of self-adaptive wing structures of aerospace crafts.

The invention discloses a cutterhead structure design method combining topological optimization and finite element analysis, and belongs to the technical field of aerospace high-performance cutting tool design and manufacturing. The technical problems that a traditional cutter head depends on experience design, and rigidity, chip removal and heat stability are difficult to balance are solved. According to the method, a parameterized model is established, multi-working-condition loads including cutting loads, dynamic excitation and thermal-mechanical coupling are defined, a topological optimization technology with multi-working-condition weighted flexibility minimization as a target and a material volume fraction as a constraint is adopted, and a material optimal distribution cloud picture is generated based on a variable density method; geometric reconstruction and engineering semantic interpretation are carried out on an optimization result, and a material enrichment region is converted into engineering characteristics such as an internal reinforcing rib and a variable spiral transition structure, so that a lightweight high-performance conceptual model is formed; finally, through multi-working-condition finite element verification and manufacturing manufacturability analysis, a final design scheme meeting the requirements for strength, rigidity, dynamic characteristics and thermal stability is obtained through iteration.

The invention discloses a design method of a complex shape modifying and finishing wheel and a honing wheel for internal meshing powerful gear honing, and relates to the technical field of machine manufacturing. The method comprises the following steps: establishing a trimming wheel tooth surface numerical model, and judging whether the modification amount of the trimming wheel tooth surface numerical model meets the modification requirement or not; if yes, establishing a space coordinate conversion relation and a conjugate meshing equation of the dressing wheel and the honing wheel, and establishing a honing wheel tooth surface numerical model in combination with the dressing wheel tooth surface numerical model; according to the space coordinate conversion relation between the workpiece gear and the honing wheel and the honing wheel tooth surface numerical model, a complex modification workpiece gear tooth surface numerical model is established, and whether the modification amount of the complex modification workpiece gear tooth surface numerical model meets the modification requirement or not is judged; and if yes, a dressing wheel three-dimensional solid model and a honing wheel three-dimensional solid model are established according to the dressing wheel tooth surface numerical model and the honing wheel tooth surface numerical model respectively. According to the method, precise design and verification of the complex shape modifying and finishing wheel and the honing wheel for powerful gear honing can be achieved.

The invention discloses a design method of a special-shaped underwater pressure-resistant shell, which comprises the following steps: S1, according to the use environment of a to-be-designed special-shaped underwater pressure-resistant shell, determining various types of structure parameters which are required by the to-be-designed special-shaped underwater pressure-resistant shell and have association relationship and the initial value range of the structure parameters; s2, collecting a plurality of groups of data samples of the structure parameters conforming to the incidence relation in an initial value range; s3, m evaluation indexes used for evaluating the performance of the to-be-designed special-shaped underwater pressure-resistant shell are determined according to the use environment of the to-be-designed special-shaped underwater pressure-resistant shell, original evaluation values corresponding to the m evaluation indexes of each group of data samples are obtained, and the multiple data samples and the corresponding m original evaluation values form a data set; and S4, training an artificial neural network model by using the data set to obtain an initial prediction model for predicting an original evaluation value of the to-be-designed special-shaped underwater pressure-resistant shell. According to the method, multi-dimensional design of the special-shaped underwater pressure-resistant shell can be achieved, the multi-performance requirement is met, the design process is simple, and the design efficiency is high.