33 results about "Design engineer" patented technology

The invention discloses a method for quantifying the uncertainty of a full-air-film cooling cascade under the influence of air film hole defects, and aims at realizing the quantification of the cooling performance uncertainty of a full-air-film cooling turbine cascade under the engineering calculation cost by utilizing three strategies of flow parameter dimensionality reduction, flow partitioning and uncertainty superposition. According to the method, key flow parameters and probability distribution of the key flow parameters are evaluated by using a flow parameter dimensionality reduction-based gas film hole robustness evaluation method. The flow partition comprises flow field action evaluation and action mechanism partition. The uncertainty superposition comprises partition uncertainty evaluation and partition uncertainty superposition. The method has the characteristics of simplicity in use, wide applicability, flexibility in evaluation and analysis and low calculation cost. In addition, the method is compatible with data results of multiple sources, and the use requirements of aero-engine turbine design engineers are better met.

The present invention relates to the technical field of intelligent design of tires, and in particular to an analysis method, application and program product of the influence degree of rubber modulus on tire rolling resistance. The calculation process of the present invention can obtain the influence trend of modulus on rolling resistance. Since the deformation mode of the rubber material is refined and decomposed, that is, when the deformation index is greater than 0, it is considered to be a strain and energy mixed control mode, and when the deformation index is less than 0, it is considered to be a stress and energy mixed control mode. By solving a and b parameters, the influence trend and influence degree of the rubber material modulus on rolling resistance can be accurately judged according to the positive and negative sum of m, a and b values, which can provide effective guidance for tire design engineers and material development engineers.

The invention discloses a hydraulic structure cloud three-dimensional collaborative reinforcement arrangement design method based on a spatial surface and a spatial line, and the method comprises the steps: constructing a geometric modeling device which supports the analysis and editing of a special-shaped structure curved surface and the spatial line according to the characteristics of a three-dimensional model of a complex concrete structure of a hydraulic structure; based on a cloud architecture, a server and a browser client are constructed, and a cloud three-dimensional collaborative modeling and design environment is realized by adopting a communication technology; defining an operation object of three-dimensional rib arrangement; arranging reinforcements on the basis of a structure entity space surface, and constructing the reinforcements through a reinforcement arrangement direction, constraints of starting points and starting points of a reinforcement arrangement area and a protection layer distance of an offset structure entity surface; arranging reinforcements based on the structure entity space line, and constructing the reinforcements through the constraint of the structure entity space surface, the reinforcement arrangement path and the starting and starting points of the path and the specified distance of the offset structure entity line. According to the method, cloud three-dimensional collaborative rib arrangement of any structure is carried out based on complex space surfaces and space lines, and a brand new design method is provided for design engineers.

The present application discloses a method for designing a wireless headset, comprising: constructing a database; selecting the structural data of the headset shell from the database according to the fixing method of the wireless headset on the auricle; selecting the data of the headset components from the database according to the performance requirements of the wireless headset; fitting multiple headset preliminary samples according to the selected structural data of the headset shell and the data of the headset components; and confirming the final sample from the multiple headset preliminary samples. The method of the present application reduces the knowledge accumulation requirements of the design engineer, and can generate multiple headset preliminary samples by using the constructed database and the automatic fitting function, which reduces the starting requirements of the design and helps to improve the design efficiency and design quality.

The invention relates to the technical field of lightweight of automobiles, in particular to a lightweight optimization method for a front longitudinal beam of an automobile body. According to the method, the actual state of a part in a vehicle body structure is comprehensively considered according to the performance analysis experiment design of a front longitudinal beam part or a small assembly level, decoupling analysis is carried out according to the characteristics of the part, and the main stress working condition of the part and the function of the part under the working condition are decomposed. And performing simulation experiment benchmarking and optimization iteration according to the working conditions. The performance indexes can be adjusted at any time according to performance requirements, and the scheme is iteratively optimized. And meanwhile, the formability of the part is analyzed and verified, and the part cost is analyzed. And a sufficient design theoretical basis is provided for vehicle body design engineers. And meanwhile, the part development period and cost are reduced. The method is simple in step, sufficient in verification and high in reliability.

A computer-aided design (CAD) system and corresponding method manage three-dimensional (3D) model view / state modifications. The method modifies a parent view of a 3D model in the CAD system based on user input provided to the CAD system. The parent view is linked to a child view of the 3D model that was created from the parent view. The method modifies the child view, automatically, in accordance with the parent view modified. Such linked views and automatic modification enable a user to change view / state of a parent view and have the changes automatically propagated to the child view / state. Further, when such propagation occurs, orientations, positions, and readable directions of annotations are also updated, automatically, saving users (e.g., design engineers) minutes, hours and even days of work on design of the 3D model.

The present invention relates to the field of tire simulation design technology, and more particularly to a method, application, and program product for identifying and visualizing the slip and adhesion zones of a tire's contact patch. This method processes numerical simulation data to determine the slip state of tire nodes within the contact patch and uses a program to visualize this state, providing technical support for tire design engineers.

The invention provides a component generation method and device and electronic equipment. The method comprises the steps that an element object set corresponding to a design image and element attribute information of all element objects in the element object set are acquired; according to the element attribute information of each element object, determining an element nesting relationship between the element objects; and according to the element attribute information of each element object and the element nesting relationship among the element objects, generating the interface component corresponding to the design image, thereby avoiding adopting strict specification design to standardize the design image, and having lower requirements on design engineers, thereby reducing the output cost of the design image and improving the generation efficiency of the component.

A network for machine learning provides generative design. Instead of mimicking the typical human design process, machine training is performed on an inverse model to generate designs according to requirements. Machine training is performed on a simulation model to recover performance with respect to the requirements of the generated designs. These two machine-trained models are used in an optimization that creates other designs based on the output of the inverse model and tests those designs with the simulation model. Using the machine-trained models in this loop to explore a variety of different designs reduces the time for exploration and thus can bring more optimized designs to design engineers or enable them to better initiate designs.

The present application relates to a design method for realizing automatic generation and operation of verification environment based on DPU. By presetting environment creation conditions, an ENV generation tool is established and called, a basic environment framework is generated by the ENV generation tool, and the expected DPU_ENV verification environment is created based on the basic environment framework; the ENV interface connection tool is called to generate and obtain the required interface signal, and the expected DPU_ENV verification environment and DUT are connected; the RUN tool is defined to establish a connection between the functional options and the EDA tool, and the simulation of different modes and different options is realized by the RUN tool. By generating a verification environment through a standard, it is less difficult for new verification engineers to accept the handover of the verification environment. By advancing the start time of the verification work to the architecture design stage, starting work synchronously or earlier than the design engineer, testing can be carried out quickly.

The application discloses a kind of water conservancy structures cloud three-dimensional collaborative reinforcement design method based on space surface and space line, comprising: according to the characteristics of water conservancy structures complex concrete structure three-dimensional model, construct the geometric modeling device of supporting heteromorphous structure surface, space line analysis and editing;Based on cloud architecture, construct server and browser client, realize cloud three-dimensional collaborative modeling and design environment using communication technology;Define the operating object of three-dimensional reinforcement;Based on structure entity space surface reinforcement, through the constraint of reinforcement direction, the start point of reinforcement area, and offset structure entity surface protective layer distance to construct reinforcement;Based on structure entity space line reinforcement, through the constraint of structure entity space surface, reinforcement path and the start point of path, and offset structure entity line specified distance to construct reinforcement.The application provides a new design method for design engineer by complex space surface, space line based on cloud three-dimensional collaborative reinforcement of arbitrary structure.

The invention relates to a management and updating method for optimizing device packaging automation. The method comprises the steps of deploying a centralized packaging database, binding packaging information with a packaging file of EDA software, establishing a synchronization mechanism and a notification system, automatically updating a state log record and introducing a third-party auditing mechanism. According to the method, the centralized device packaging database is created, so that a library engineer can quickly write the packaging information into the device packaging database, and the device packaging information is conveniently created and uploaded; a design engineer can obtain the encapsulation updating information in time and synchronously update the design manuscript; the process of each node is recorded in detail, and the process record is convenient to search, so that the problems of low efficiency, high communication cost, difficulty in tracking historical records and lack of auditing in the existing PCB project design stage are solved by optimizing and automation the device packaging management and updating process, and the design efficiency of the PCB project is improved. And a more intelligent, safer and more efficient solution is provided for electronic product design.

The invention discloses an optimal design method and system for an offshore wind power floating foundation structure, and belongs to the field of ocean engineering structure design, and the method comprises the following steps: S1, building a three-dimensional finite element model of the floating foundation structure, and defining a design domain, a non-design domain, material attributes, volume ratio constraints and limit load working conditions for the three-dimensional finite element model; and S2, independently performing finite element solution for each limit load working condition, and calculating the flexibility sensitivity of each unit in the design domain, so that the overall performance and robustness of the final topological configuration are remarkably improved, the sensitivity of a high-conflict region is actively inhibited, and the reliability of the topological configuration is improved. The optimization process can avoid invalid swing between mutually contradictory rigidity requirements, so that a real global optimal solution can be explored and converged, unprecedented design insight and controllability are provided for design engineers, and convergence stagnation or divergence caused by target conflicts is effectively avoided.

The invention relates to an anchor windlass parameterization three-dimensional design method which comprises the following steps that S1, technical parameters of an anchor windlass are input into an Excel table, and the technical parameters of the anchor windlass comprise relevant parameters of an anchor chain and relevant parameters of a winding drum; s2, calculating and outputting size data of parts in the anchor windlass by utilizing an Excel table according to the relevant parameters of the anchor chain and the relevant parameters of the winding drum in the step S1; and S3, inputting the size data of the parts in the anchor windlass in the step S2 into a variable control table of 3D software, driving the 3D software to carry out modeling by a variable function, and outputting a 3D model. Compared with the prior art, the method has the advantages that the 3D modeling time can be saved, human errors are avoided, and the design time of design engineers is greatly saved.

A metasurface unit structure inverse design method based on an improved generative adversarial network (GAN) belongs to the field of electromagnetic metasurface design. The method includes: constructing a metasurface dataset based on the metasurface unit structure, its corresponding electromagnetic response, and its category; inputting the dataset in groups into a generator model G and a discriminator model D for model training; for the trained algorithm model, the electromagnetic response and normal Gaussian noise are used as inputs, and the metasurface unit structure is used as the output. This metasurface unit structure inverse design method can directly obtain the metasurface unit structure that conforms to the electromagnetic response from the electromagnetic response, reducing the relevant professional knowledge required by design engineers and the trial-and-error time in designing metasurface unit structures, thus significantly improving design efficiency. Furthermore, by changing the distribution of Gaussian noise, different metasurface unit structures can be obtained, increasing the diversity of generated structures, allowing engineers to choose from a variety of metasurface unit structures.

The present invention discloses a method, system, device and medium for calculating the temperature field of a PCB in a radiator, wherein the method comprises: obtaining training data, the training data comprising the distribution of fins of the radiator, the layout of the chip and the distribution of the temperature field; preprocessing the training data, and combining the corresponding temperature field distribution as a label to form matching data; training to obtain a strong mapping relationship between the distribution of fins of the radiator and the layout of the chip based on a deep convolution generative adversarial neural network, and constructing an agent model for quickly calculating the steady-state temperature field of the PCB under this heat dissipation condition according to the distribution of fins of the radiator and the layout of the chip; inputting the input data consisting of the distribution of fins of the radiator and the layout of the chip into the trained agent model, and quickly calculating the steady-state PCB temperature cloud map. The present invention obtains an agent model by collecting history and training, and is used to help thermal design engineers improve design efficiency while ensuring prediction accuracy; it can be widely used in the field of numerical heat transfer calculation technology.

The invention discloses a design method of a diagonal flow pump intermediate sleeve coupling, which comprises the following steps: designing parameters of the diagonal flow pump sleeve coupling according to the matching power, the rotating speed, the allowable shear stress, the allowable stress, the maximum axial thrust, the allowable extrusion stress and the allowable tensile stress of a given diagonal flow pump, and the parameters comprise the minimum shaft diameter, the key size, the coupling length and the snap ring size. According to the design method of the diagonal flow pump intermediate sleeve coupling, design and calculation of the diagonal flow pump intermediate sleeve coupling are scientific and digitized, and the design is not based on feeling and experience any more; multiple design sizes of sleeve couplings with the same shaft diameter due to the difference of design experiences and habits of design engineers are avoided; the design quality of the diagonal flow pump can be guaranteed, and safe, stable and efficient operation of the diagonal flow pump is guaranteed.

The invention discloses a water conservancy and hydropower engineering design index optimization method based on adversarial learning and an adaptive moment estimation algorithm, and the method comprises the steps: S1, constructing a thematic data set, and distinguishing an input feature from an output feature; s2, constructing a generative network according to the constructed thematic data set, and generating adversarial sample data; s3, marking the confrontation sample data generated in the step S2; s4, screening out true data according to a data authenticity judgment result, carrying out calculation analysis on the true data, and secondarily judging the design rationality of the true data; and S5, constructing an iterative optimization program, determining an optimization target according to the reasonable design data calculated, analyzed and judged in the step S4 as initial input data, and outputting an optimized design index. According to the method, optimal design of water conservancy and hydropower engineering design indexes is realized through mining of engineering high-quality sample data and an iterative optimization strategy, and a brand-new design method is provided for design engineers.

The invention relates to a contact lens development database management system and method, and the system comprises a design management module which is used for receiving and processing a CAD optical design file and a parameter list uploaded by a design engineer terminal, guaranteeing the integrity of design input, and generating a unique code; the proofing cooperation module is used for sending a synchronization signal to a proofing engineer terminal based on the target design product code and the proofing requirement set, and supporting integrity verification and compliance judgment of proofing data; a difference identification module; a data archiving module; and a client interaction module. The proofing collaboration module comprises a proofing collaboration module; the task assignment unit is used for automatically assigning coded design tasks according to the state of the resource pool and generating a proofing work order containing product codes, process requirements and delivery time limit; and the state synchronization unit is used for executing a three-level redundant task synchronization protocol to ensure the strong consistency of the states of the system server, the proofing engineer terminal and the design engineer terminal.

The present application relates to the technical field of optimization simulation method of automobile, in particular to a kind of automobile front longitudinal beam crush performance analysis method.Rigid wall is set, and rigid wall is fixedly constrained;Boundary conditions of finite element analysis model are set, rear end constraint point is set, to ensure that front longitudinal beam model can advance along single direction;Rigid unit is applied to couple the mesh element of rear end constrained of front longitudinal beam, and displacement loading is carried out;Simulation calculation is carried out in solving software by applying display dynamics module;The overall stress state of front longitudinal beam is obtained by loading point force-displacement curve, the total energy absorption state of part is obtained by energy change curve, and the actual deformation state of part in crush process is obtained by stress nephogram.Optimization comparison analysis process has high accuracy, can quickly and effectively analyze the compression crush resistance of front longitudinal beam itself;It is convenient for body design engineer to confirm the performance index of self-designed part structure in the early stage of body development, thereby reducing part development cycle and cost.

The invention relates to the field of integrated circuit chip rear-end design, in particular to an advanced process standard unit row lattice point layout planning method, which comprises the following steps: S1, module initialization and layout planning; s2, adjusting a macro cell; s3, checking and verifying; and S4, finally adjusting and optimizing. According to the design layout requirement rule of the standard unit, the script provided by the embodiment of the invention is used for quickly and accurately carrying out standard unit row lattice point layout planning on the module; a back-end design implementation engineer only needs to operate the script according to the embodiment of the invention in a module initialization stage and a floorplan design stage to quickly and accurately complete the layout planning of the row lattice points of the standard cell, so that the layout design of the chip standard cell can meet the requirement rule of a FinFET process on the row lattice points of the standard cell; and the back-end layout and wiring design of the chip is ensured to be smoothly advanced, so that the chip can be smoothly tapped out.

The invention discloses a casting collaborative development method and device, equipment, a medium and a product, and relates to the technical field of die-casting technological process optimization. Optimization of a three-dimensional structure model of a target casting is put in the product design and development process; in the optimization process, staff of a plurality of posts such as a casting product design engineer and a mold process engineer participate together, and compared with a development process in which the mold process engineer performs castability process analysis after product data is locked in the prior art process, the development process is shortened. In the product design and development process, the casting product is subjected to mold flow analysis and mold opening process analysis, improvement measures are formed to adjust and optimize the structure of the casting product, and the situation that the design of the casting product is overturned after mold opening is avoided. Afterwards, the agent model is trained according to the mold flow analysis result of the pouring and discharging and mold structure, and the agent model is input into a rapid simulation tool, so that a field process engineer adjusts and rapidly verifies the reasonability of process parameters according to production needs.

The application discloses a kind of methods and systems for developing custom software by CAE simulation APP, belong to software development technical field.The method includes: determining the parameters required by design engineer in each simulation App in target industry, to generate the part unit corresponding to each simulation App;Using test case, the correctness of the metadata in each simulation App corresponding part unit is checked, to build the part unit library corresponding to the target industry;Using the functional requirements of industry-specific software and part unit library, part unit screening is carried out to combine part units;The combined part unit is packed as industry-specific software.The application can reduce the development workload and cost (i.e. manpower and time) of industry-specific software, the development speed of industry-specific software is fast, the efficiency of developing industry software is high, and the data transmission and interaction between each simulation App in the development process of industry-specific software are guaranteed.

The present disclosure relates to a computer-implemented method for assisting a design engineer in generating a 3D design of a physical object. The method comprises steps of, in a training phase, acquiring sequences of computer-aided design operations for designs of physical objects and metadata associated with the sequences of computer-aided design operations. The method proceeds with converting the acquired sequences of computer-aided design operations into tokens of computer-aided design operations, and converting the metadata into metadata vectors. The method then trains a model based on the tokens of the computer-aided design operations and the metadata vector, and stores the trained model in a database. In an application phase, the method executes steps of acquiring a user input for the 3D design of the physical object including design constraints and a current sequence of computer-aided design operations, converting the acquired current sequence of computer-aided design operations into one or more tokens of the current design sequence, converting the acquired design constraints into a vector of design constraints, predicting at least one computer-aided design operation based on the trained model stored in the database, and at least one of the tokens of the current design sequence and the vector of the design constraints, and generating information including the predicted at least one computer-aided design operation and outputting the generated information in a signal to the user.

The invention belongs to the technical field of liquid cooling plate detection, and particularly relates to a liquid cooling plate plastic bulge simulation identification method. The liquid cooling plate plastic bulge simulation identification method comprises the following steps: constructing a liquid cooling plate solid model; simplifying the liquid cooling plate solid model into a sheet body model; the chip body model is imported into ANSYS Workbench simulation software, and parameters are set; and carrying out simulation solution to obtain an analysis result. According to the simulation identification method, the problem of failure caused by ventilation bulge of the liquid cooling plate due to design defects caused by insufficient experience of design engineers can be completely eradicated, and the cost generated by production proofing and experiment can be reduced. In addition, the shape of the cross section of the runner is designed according to the actual connection process of the bottom plate and the runner plate, so that the simulation stress surface conforms to the actual product, and the simulation result is more accurate.

The invention discloses drawing equipment for a schematic circuit diagram, and relates to the technical field of circuit design, the drawing equipment comprises an information acquisition module, an information processing module and a schematic diagram design module, and the information processing module is connected with the information acquisition module and the schematic diagram design module; the information acquisition module is used for determining drawing demand information of a user, and the drawing demand information comprises at least one drawing demand; the information processing module is used for determining a drawing instruction set based on the drawing demand information, the drawing instruction set comprises at least one drawing instruction, and the drawing instructions and the drawing demands are in one-to-one correspondence; the schematic diagram design module is used for determining a circuit schematic diagram based on the drawing instructions. The information processing module can process the drawing demand acquired by the information acquisition module to obtain the drawing instruction, and the schematic diagram design module can automatically draw the schematic diagram according to the drawing instruction, so that the drawing difficulty of a design engineer is reduced, and the drawing efficiency and drawing quality of the design engineer are improved.

A robustness evaluation method for film holes based on flow parameter dimensionality reduction is proposed. This method is used to evaluate the robustness of cooling performance under the influence of laser-drilled film hole defects. The method consists of two uncertainty analyses, namely, prior estimation and deviation correction. The basic film hole defect uncertainty analysis framework is composed of the laser-drilled film hole defect model, the non-invasive chaotic polynomial uncertainty quantification method, and the k-nearest neighbor clustering algorithm to evaluate the robustness of performance under consistent film hole defects. Deviation correction includes extraction of main flow features, probability distribution evaluation of single film hole flow parameters, probability evaluation of total flow parameters, and flow parameter correction uncertainty quantification analysis. This method is easy to use, widely applicable, flexible in evaluation and analysis, and has low computational cost. In addition, this method is compatible with data results from multiple sources, which is more in line with the needs of aircraft engine turbine design engineers.

To provide a design support system that assists even inexperienced design engineers in appropriately selecting new materials and components suitable for the purpose of product design, and that can also present the annual cost-effectiveness of design changes using new materials and components. [Solution] The design support system 1 is equipped with a database 120, a machine learning means 110, an input means 310, and a display means 320. The database stores design information for multiple materials and parts that make up a product in advance. The machine learning means generates a trained model 130 that extracts design information with a high degree of fit to the design target information, using the multiple design information as training data 112. The trained model then calculates the functional fit and cost fit for existing materials and parts and new design candidates individually, based on the design target values ​​input by the design engineer. Furthermore, the display means displays the respective fit scores side by side so that the design engineer can easily understand the comparison results.

A method for evaluating the robustness of aero-engine turbine aero-thermal performance includes obtaining the number of uncertain parameters and the order of the polynomial to construct a chaotic polynomial expansion model, generating sampling points required for the chaotic polynomial expansion, obtaining result data of the sample points, calculating coefficients of the chaotic polynomial expansion method, performing sensitivity analysis calculations based on the chaotic polynomial expansion, and performing robustness and sensitivity analysis. The present invention can recommend the optimal sampling points and number of sampling points based on the actual calculation conditions, thereby significantly reducing the computational cost required for obtaining robustness analysis of aero-engine turbine aero-thermal performance. Moreover, the method is compatible with data results from multiple sources (CFD commercial software, experiments, empirical formulas, self-programming, etc.), and is more in line with the needs of aero-engine turbine design engineers.

A method for tracing the source of key geometric errors in a five-axis CNC milling machine belongs to the field of machine tool accuracy analysis technology. Specifically, it involves a spatial motion error modeling method for multi-axis CNC machine tools based on multibody system theory, a machine tool machining accuracy prediction method based on the side-cut milling principle, and a key geometric error tracing and analysis method. This invention establishes a spatial motion error model, a machining accuracy prediction model, and a key geometric error tracing and analysis model for multi-axis CNC machine tools. By tracing and analyzing the source of key geometric errors in multi-axis CNC machine tools during the machine tool accuracy optimization design phase, machine tool design engineers can accurately identify key geometric errors. This helps to obtain the influence weight of various geometric errors on machine tool machining accuracy before machine tool accuracy optimization design, correctly guiding machine tool accuracy design and laying a theoretical foundation for CNC machine tool accuracy optimization design.