Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "Solve molding problems" patented technology

Preparation method of ceramic matrix composite multi-cavity structure high-pressure turbine guide vane

ActiveCN117774081Bhigh strengthReduce molding difficulty
The present application relates to a kind of high-pressure turbine guide vane, and specifically relates to a kind of preparation method of ceramic matrix composite multi-cavity structure high-pressure turbine guide vane.Solve the technical problems that ceramic matrix composite high-pressure turbine guide vane component forming is difficult, blade component size difference and pre-embedded split joint model is easy to be bonded with blade.The method of the present application comprises the following steps:1) preparing upper edge plate component preform, lower edge plate component preform and blade body preform;2) preparing boron nitride interface layer for each preform respectively;3) preparing SiC matrix for each preform respectively, during the densification process of blade body preform, new graphite tooling and graphite paper pad are used at split joint structure for each furnace deposition;4) preparing self-healing matrix for each preform respectively;5) processing each component;Installing inner core baffle and multiple spoiler columns;Online assembly of each component, deposition and processing obtain turbine guide vane.
Owner:XIAN XINGUI CERAMIC COMPOSITE MATERIAL CO LTD

Motion capture optimization method and model training method based on monocular video

The application provides a monocular video-based motion capture optimization method and a model training method, and relates to the technical field of computers. The monocular video-based motion capture optimization method comprises the following steps: inputting a monocular video into a touch-down detection model to obtain a touch-down detection result for indicating a touch-down probability of a portrait foot; obtaining three-dimensional motion first data of the portrait according to the monocular video, and then obtaining a foot trajectory of the portrait; performing touch-down optimization on the foot trajectory according to the touch-down probability, and performing jitter optimization on the touch-down optimized foot trajectory; and reconstructing the three-dimensional motion first data through a reverse dynamics algorithm according to the jitter optimized foot trajectory to obtain three-dimensional motion second data of the portrait. The method of the application solves the problem that the accuracy of three-dimensional motion data reconstructed through a reverse dynamics algorithm is reduced due to the possible penetration and jitter of the portrait foot in the three-dimensional reconstruction process.
Owner:BEIJING UNIV OF POSTS & TELECOMM