10 results about "Tolerance optimization" patented technology

The invention provides a flange pipeline multi-source coupling error prediction, regulation and control method and device. The flange pipeline multi-source coupling error prediction, regulation and control method comprises the steps that a multi-source error coupling model is constructed based on structure parameters and precision parameters of a flange pipeline; constructing an assembly error migration accumulation model based on the Jacobian matrix and the multi-source error coupling model; a Halton low-difference sequence is adopted to generate random assembly errors meeting spinor constraints, iterative simulation is conducted on the assembly error migration accumulation model, and a prediction accumulation assembly error simulation result is obtained; when the result meets the expected function requirement, updating and reconstructing the assembly error migration accumulation model based on the measured data, and predicting the assembly error of the flange pipeline system based on the reconstructed assembly error migration accumulation model; and when the result does not conform to the expectation, an optimal tolerance allocation scheme is obtained. According to the method, the error sources of flange pipeline assembly are classified and represented, the tolerance optimization model is provided to realize reasonable distribution of tolerance parameters, and the assembly prediction precision and the assembly success rate are improved.

The invention relates to the technical field of high-precision building simulation analysis for digital assembly, and discloses a high-precision building simulation analysis method and system for digital assembly, which comprises a high-precision building simulation analysis method and a high-precision building simulation analysis system for digital assembly. The key technical bottlenecks that in the prior art, the assembly precision depends on artificial experience, tolerance distribution lacks an optimization basis, errors cannot be controllably accumulated and the like are overcome, precision modeling and data structured expression of the whole assembly process are achieved, the error propagation simulation capacity based on a statistical method is provided, a performance-oriented assembly precision evaluation mechanism is established, and the assembly precision evaluation efficiency is improved. A closed-loop tolerance optimization and parameter feedback control path is constructed, and the predictability and the digital control level of the assembly process are remarkably improved.

The invention discloses a civil aircraft assembly tolerance optimization method based on an improved NSGA-II framework and a storage medium. The method comprises the following steps: constructing a comprehensive cost evaluation module, and establishing a multi-target cost function; establishing a tolerance optimization model, and defining a tolerance optimization function by taking a key tolerance design index as a constraint condition and combining a reliability requirement, machining feasibility and machining cost; based on a tolerance optimization module of an improved NSGA-II framework, generating a Pareto frontier solution set through non-dominated sorting and congestion degree calculation; a filial generation generator module combining a multi-head attention mechanism and a tournament algorithm is adopted, and the generation efficiency of a Pareto leading-edge solution set is optimized; process data support is provided through the assembly process database module, and it is ensured that the tolerance optimization range does not exceed the current executable process category; iterative optimization is carried out until the design index with the lowest total cost is met, and a final tolerance allocation scheme is output. According to the method, on the premise of meeting design indexes, the total cost index is reduced as much as possible, and the benefits of assembly production are improved.

The invention provides an instance-based unlocking and locking mechanism tolerance optimization method and system. Belongs to the field of intelligent firearm manufacturing. According to the method, on the basis of ensuring that the assembly precision is qualified, the machining cost and the procedure capability index are comprehensively considered, and the tolerance of the unlocking and locking mechanism is designed and optimized. According to the method, on the basis of an unlocking and locking mechanism tolerance instance library, through analysis and calculation of contribution degrees, product processing cost and quality loss optimization targets are constructed, a target optimization model with process capability indexes and tolerance accumulation as constraint conditions is established, and the processing cost and the assembly quality loss are balanced. The design precision under precision manufacturing can be met, the production efficiency is improved, the part quality is improved, and the production cost is further reduced.

The invention provides a time sequence tolerance optimization method and device of a multi-node server system, and relates to the technical field of servers. The system comprises at least two server nodes sharing a part of buses in an I2C bus, and the method comprises the following steps: determining a target clock frequency of the I2C bus according to an I2C bus capacitance value, a current resistance value of a pull-up resistor and an I2C protocol specification; adjusting the resistance value of the pull-up resistor based on the target clock frequency to obtain a target resistance value of the pull-up resistor; and controlling the pull-up resistor according to the target resistance value of the pull-up resistor. According to the method and the device, the clock frequency is dynamically adjusted by dynamically adjusting the resistance value of the pull-up resistor, the I2C bus clock frequency is limited based on the I2C protocol specification, the time sequence tolerance is increased, the information reading reliability of each node is ensured, the bus conflict problem caused by the fact that the nodes sharing the I2C bus simultaneously initiate communication due to the fact that the I2C bus clock frequency is too high is solved, and the communication efficiency is improved. And furthermore, the abnormal conditions of no response of equipment, node data reading errors and the like can be reduced.

The invention relates to the technical field of mechanical design, in particular to a tolerance optimization distribution method based on a self-adaptive decision operator whale optimization algorithm, and aims to realize a multi-objective optimization function of planetary gear tolerance design. The tolerance manufacturing cost and the mass loss cost of a tooth thickness reduction amount error, an eccentric error, an axis flatness error, an axis position degree error and a bearing radial clearance error are taken as objective functions, and the tolerance value upper and lower limits and transmission error precision requirements of the error terms are taken as constraint conditions, so that a tolerance multi-objective optimization model of the planetary gear is established; and introducing a whale algorithm under an adaptive decision operator as an optimization algorithm, and solving the multi-objective optimization model to realize planetary gear tolerance optimization distribution of the error term. Experiments prove that the manufacturing cost model of each tolerance machining geometric feature is formulated, the accuracy of the target function is improved, and the global optimization efficiency and reliability of the multi-target coupling tolerance system are improved.

The present disclosure proposes a timing tolerance optimization method and device for a multi-node server system, which relates to the field of server technology. The system includes at least two server nodes sharing part of the I2C bus. The method includes: determining the target clock frequency of the I2C bus based on the capacitance value of the I2C bus, the current resistance value of the pull-up resistor, and the I2C protocol specification; adjusting the resistance value of the pull-up resistor based on the target clock frequency to obtain the target resistance value of the pull-up resistor; and controlling the pull-up resistor based on the target resistance value of the pull-up resistor. The present disclosure realizes dynamic adjustment of the clock frequency by dynamically adjusting the resistance value of the pull-up resistor, limits the I2C bus clock frequency based on the I2C protocol specification, increases the timing tolerance, ensures the reliability of information reading of each node, reduces the bus conflict problem caused by the nodes sharing the I2C bus initiating communication at the same time due to the excessively high I2C bus clock frequency, and further reduces abnormal situations such as device unresponsiveness and node data reading errors.

The present invention relates to the technical field of optimized design of low-pressure compressor blades for aircraft engines, and more specifically, to a method for optimizing the critical tolerances of aircraft engine compressor blades. The method comprises the following steps: obtaining the maximum tolerance offset coefficient corresponding to each tolerance; obtaining the total pressure loss coefficient value of the error blade profile; obtaining a proxy model for the aerodynamic performance of the critical machining errors; constructing a fitness function; and obtaining the final tolerance range for each critical machining error. The present invention is applicable to the optimization of critical tolerances for compressor blades of different types and sizes. The established proxy model exhibits excellent generalization performance and high fitting accuracy, while the optimization method is highly efficient, providing an effective means for reducing the blade machining error rate and improving blade machining production efficiency.

The invention discloses an assembly deviation analysis and tolerance optimization design method for a divertor unit of a magnetic confinement nuclear fusion device. The method comprises the following steps of S1, performing spinor expression derivation of a local parallel structure which is composed of two mutually vertical plane connection pairs and considers a leverage effect; s2, performing spinor expression derivation of a local parallel structure which is composed of two cylindrical surface connecting pairs with parallel axes and considers the lever effect; s3, constructing a divertor unit assembly deviation analysis model; s4, analyzing tolerance contribution degree and tolerance sensitivity; and S5, divertor unit tolerance optimization design is carried out. According to the method, the assembly precision of the divertor unit of the magnetic confinement nuclear fusion device can be effectively guaranteed, the tolerance optimization design is realized, and the manufacturing cost of the divertor unit is reduced.

This invention proposes an example-based tolerance optimization method and system for locking and unlocking mechanisms, belonging to the field of intelligent firearms manufacturing. The method optimizes the tolerance design of the locking and unlocking mechanism by comprehensively considering processing costs and process capability indices while ensuring qualified assembly accuracy. Based on a tolerance example library of locking and unlocking mechanisms, the method constructs optimization objectives for product processing costs and quality losses through contribution analysis and calculation. It establishes an objective optimization model with process capability indices and tolerance accumulation as constraints, achieving a balance between processing costs and assembly quality losses. This invention can meet the design accuracy requirements of precision manufacturing, improve production efficiency, enhance part quality, and further reduce production costs.