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3results about How to "Solve the request" patented technology

Blade cross-section bending stiffness optimization method and device, electronic equipment and storage medium

PendingCN122221402ASolve the stiffness problemsolve the requestGeometric CADDesign optimisation/simulation
The present disclosure provides a kind of blade section bending stiffness optimization method and device, electronic equipment and storage medium, it is related to blade structure design technical field, by establishing the design architecture of basic reinforcement layer, main reinforcement layer and auxiliary reinforcement layer cooperation, first in first preset position setting main reinforcement layer and iteration adjustment its geometric parameter, after main reinforcement layer reaches process limit, again in second preset position, add auxiliary reinforcement layer, and fixed main reinforcement layer parameter iteration optimization auxiliary reinforcement layer geometric parameter, formed the systematic design system of multiple reinforcement layer, multiple preset position, geometric parameter iteration adjustment, therefore, it can solve the problem that the stiffness direction imbalance caused by lacking multidimensional parameter collaborative adjustment system in prior art, only using single reinforcement strategy and not setting reinforcement layer position reasonably, difficult to meet preset tolerance, material redundancy and high risk of structural failure.
Owner:HUANENG CLEAN ENERGY RES INST +1

A method for preparing multi-specification Ti551 titanium alloy ingot

PendingCN122189404AImprove mechanical propertiesMeet the requirements for high-performance titanium alloys
The application discloses a multi-specification Ti551 titanium alloy ingot preparation method and belongs to the non-ferrous metal processing technical field. The composition of the Ti551 titanium alloy is as follows in terms of percentage by mass: Al 4.5%-5.5%, Mo 0.5%-2.5%, V 0.5%-1.5%, Zr 1.0%-3.0%, Cr 0.5%-1.5%, Sn 0.5%-1.5%, Fe≤0.25%, O≤0.12%, and the balance is Ti and inevitable impurities. The method comprises the following steps: proportionally weighing raw materials such as titanium sponge, zirconium sponge, Al-Mo-containing intermediate alloy, Ti-Sn-containing intermediate alloy, aluminum beans and TiO2; pressing the raw materials into electrode blocks with a density≥3.2g / cm 3 ; obtaining consumable electrodes through vacuum welding; preparing ingots through three-time vacuum consumable arc furnace smelting, the vacuum degree of the three-time smelting is all≤6Pa, and the diameter of the crucible ranges from Φ570mm to Φ1240mm. The application solves problems such as the increase of melt viscosity, poor fluidity, uneven ingot composition and the like caused by multiple alloy elements, and establishes a complete smelting process system covering 5-20-ton multi-specification ingots.
Owner:BAOJI TITANIUM IND CO LTD +1

A method and system for multi-target state detection based on a single sensor

This application relates to the field of sensor signal processing technology, specifically disclosing a method and system for multi-target state detection based on a single sensor. The method includes acquiring mixed target signals, decomposing the mixed target signals into multiple modal components, determining the correlation coefficients between multiple intrinsic mode function components and the mixed original signal, and determining the number of target modes based on the correlation coefficients; fusing the remaining intrinsic mode function components to obtain a denoised mixed signal; converting the denoised mixed signal into time-frequency vector data, inputting the time-frequency vector data into a multi-target signal decoupling model based on variational autoencoder for decoupling, and outputting a demixed source signal; inputting the demixed source signal into an adaptive filtering model to obtain a global average value, and determining the Mel-frequency cepstral feature vector of each target source based on the global average value; inputting the Mel-frequency cepstral feature vector into a multi-output classification model to output the state recognition result. The method realizes state detection of multiple targets in a confined space based on a single sensor.
Owner:JIANGXI NORMAL UNIV