3results about How to "Retain physical properties" patented technology

The invention provides a multi-modal data fusion characterization method and a multi-modal data fusion characterization system for commercial vehicle frame performance prediction, which are applied to the technical field of vehicle frame data modeling. Extracting structure topological parameters, section construction parameters, material attribute parameters, connection parameters, P-S-N curve data and field response data, and forming a target domain data set and an independent test set; then establishing a frame full-parameterization finite element model, combining actual measurement load spectrum statistics and derivation to generate a virtual load sample, extracting a two-dimensional load damage characteristic matrix, and constructing a source domain data set; and finally mapping the geometric topology feature, the parameter feature, the connection feature and the load feature to a unified three-dimensional voxel space to generate a three-dimensional multi-channel engineering data tensor. According to the method, the commercial vehicle frame sample construction efficiency, the multi-modal data utilization efficiency and the generalization ability of the performance prediction model can be improved.

The invention discloses a freeze-drying preparation method of second-phase particle dispersion nano tungsten-nickel-iron composite powder, which comprises the following steps: 1, adding rare earth nitrate, a salt solution and a surfactant into deionized water, and carrying out ultrasonic treatment to form a uniform precursor mixed solution; 2, performing freeze drying after pre-freezing treatment to obtain precursor powder; and thirdly, the precursor powder is subjected to calcination treatment and a two-step reduction process, and second-phase particle dispersion nanometer tungsten-nickel-iron composite powder is obtained. According to the preparation method, the precursor powder with the submicron particle size and highly concentrated particle size distribution is prepared by combining rapid pre-freezing with a freeze-drying process, and high-purity and high-uniformity compounding of tungsten-nickel-iron and second-phase particles is realized by combining subsequent calcination and reduction; the second-phase oxide particle dispersion nano tungsten-based composite powder with high purity and good uniformity is obtained, controllable preparation of superfine nano powder is achieved, and the method has good process amplification potential and is suitable for the field of powder preparation engineering.

The application provides a kind of commercial vehicle frame performance prediction multi-modal data fusion representation method and system, applied to vehicle frame data modeling technical field, the method first carries out automatic mining to multi-source heterogeneous engineering data, extracts structure topological parameter, section configuration parameter, material attribute parameter, connection parameter, P-S-N curve data and field response data, and forms target domain data set and independent test set;Then establish the full parameterization finite element model of frame, combined with the virtual load sample generated by statistical derivation of measured load spectrum, extract two-dimensional load damage feature matrix, and construct source domain data set;Finally, the geometric topological feature, parameter feature, connection feature and load feature are mapped to a unified three-dimensional voxel space, generating a three-dimensional multi-channel engineering data tensor.The application can improve the efficiency of commercial vehicle frame sample construction, multi-modal data utilization efficiency and the generalization ability of performance prediction model.