4 results about "Scale structure" patented technology

The application discloses a method for selecting an optimal cutting direction of a cross-scale structure feature surface, changes the spectrum component of the cross-section profile of the target cross-scale structure feature surface by changing the nominal cutting direction, thereby changing the error between the machinable cross-scale structure feature surface and the target cross-scale structure feature surface. α Within the selection range of the nominal cutting direction, the nominal cutting direction is changed with an angle resolution of ξ α The average overall relative error between the machinable cross-scale structure feature surface and the target cross-scale structure feature surface under all the nominal cutting directions is calculated, the nominal cutting direction with the minimum average overall relative error is selected as the optimal cutting direction of the cross-scale structure feature surface, thereby the error between the machinable cross-scale structure feature surface and the target cross-scale structure feature surface during cutting machining can be reduced, the error between the finally machined cross-scale structure feature surface and the given cross-scale structure feature surface is further reduced, and the machining precision is improved.

The application discloses a double-scale connectable topology optimization method based on material field series expansion, and belongs to the field of double-scale design of aerospace structures. In the aspect of double-scale structure representation, two material field functions are introduced to represent the distribution of microstructures on the macro level and the topology configuration of different microstructures, respectively. Different double-scale topology configurations can be obtained by adjusting the correlation length of different material fields, and the microstructures can continuously evolve in the optimization process. Compared with the traditional double-scale optimization method of pre-defined microstructure layout form, the optimization result is not dependent on the initial guess, and the double-scale topology optimization design with connectivity can be obtained. The application does not have any limitation on the objective function and the constraint function, can process complex double-scale structure design problems, and the optimization efficiency is significantly improved due to the dimension reduction of the design variable of the material field series expansion. The application is expected to become a double-scale structure design method with strong innovation and applicability in the field of aerospace, and can be applied to complex problems such as buckling and energy absorption.

The application belongs to the technical field of oil and gas reservoir exploration and development, and discloses a digital core cross-scale structure generation method based on GAN. In view of the problems of poor structure restoration of traditional interpolation methods and poor generation effect of single GAN model, the method collects 480*480*480 and 256*256*256 resolution core data pairs, and constructs a data set after preprocessing; a 3D residual cycle GAN model containing double generators and double discriminators is constructed, and training is completed by matching a combined loss function and a gradient optimization strategy, so that cross-scale bidirectional generation is realized; the reliability of the result is verified through multi-dimensional quantitative evaluation and visualization. Experiments show that the average SSIM of the generated core is 0.8599, the average porosity error is 3.86%, and the structure and physical property consistency is high. The method supports batch generation and automatic evaluation, guarantees the generation precision and engineering applicability, and provides a new technical path for digital core cross-scale characterization.