34 results about "Tolerance optimization" patented technology

The invention provides an automobile suspension K&C characteristic tolerance optimization method. The method includes: building a chassis kinetic model according to each coordinate in a hard spot table, and building a first correlation between suspension hard spot tolerance and suspension K&C characteristic tolerance; analyzing the tolerance of the coordinates of key hard spots, and building a second correlation between the suspension hard spot tolerance and part tolerance; according to the first correlation and the second correlation, acquiring the third correlation between the suspension K&C characteristic tolerance and the part tolerance, and acquiring the influence quantity representing the influence of each part tolerance on the suspension K&C characteristic tolerance; when the accumulated tolerance of the suspension K&C characteristic tolerance exceeds a preset tolerance range threshold, prompting that design alteration needs to be performed on part structures or tolerance with high influence quantity so as to allow the final accumulated tolerance to be located within the preset tolerance range threshold. The invention further provides a corresponding system. By the automobile suspension K&C characteristic tolerance optimization method, development time can be shortened evidently, and cost can be saved.

The invention discloses a tolerance optimization allocation method based on a tolerance grade and a genetic algorithm, comprising the following steps: (1) creating a tolerance optimization mathematical model; (2) creating a standard tolerance database; (3) encoding based on the tolerance grade; (4) determining an adaptability function of the genetic algorithm; (5) setting a genetic operator; (6) performing genetic evolution; and (7) decoding to obtain a corresponding tolerance grade and inquiring a corresponding tolerance value. The method disclosed by the invention realizes the tolerance optimization allocation in the product design by using a computer, thereby replacing the manual distribution, improving the efficiency and saving the time; meanwhile, the method performs the optimization allocation through the genetic algorithm, serves the minimum processing cost as an optimization target and reduces the processing cost of products. Therefore, the method has good practical value and extensive application prospect in the technical field of computer aided tolerance design.

The invention relates to a fitting tolerance network establishing method. The fitting tolerance network establishing method includes extracting fitting information of products from a three-dimensional model of the CAD (computer-aided design) system, generating fitting sequences of the product, and establishing a VGC (viscosity gravity constant) network on the basis of the VGC theory; reasoning to generate three fitting tolerance types via the corresponding relation of the VGC and the tolerance types and tolerance type information input from the step a, adding the fitting tolerance types to the VGC network and establishing a fitting tolerance network; displaying fitting sequence generated in the step b, the VGC network and the fitting tolerance network on the CAD system, and outputting the tolerance network information for tolerance optimization and design. The fitting tolerance design system is established on the CAD system platform, and comprehensive design of fitting dimensional tolerance and geometric tolerance is realized by means of information acquired from a product entity model.

The present invention provides a dynamic reliability-based gear system tolerance optimization calculation method. The method comprises a first step of modeling for gear system tolerance degradation, analyzing a design requirement of the gear system and processing routing, and determining a processing characteristic, a distribution characteristic and a cost characteristic of each sensitive tolerance parameter and a time-based degradation rule; a second step of determining a general stress model of the gear system; a third step of determining a strength degradation model of the gear system; a fourth step of calculating dynamic reliability; a fifth step of building a tolerance optimization model; and a sixth step of determining an optimal tolerance. Dynamic reliability is introduced to the field of gear system tolerance optimization, so that the traditional optimization model with total mass loss as the target is changed, and the working capability of the gear system can be evaluated more scientifically and objectively.