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Composite materials can be applied to engine fuel pump volutes because they have the advantages of higher specific strength and specific stiffness. The purpose of strength analysis of heterogeneous volute is to obtain the stress and strain distribution of heterogeneous volute through theoretical analysis, so as to realize the optimization of its computer model structure. According to this law, based on the heterogeneous volute mechanical model, using numerical methods such as finite element analysis, the heterogeneous volute is subjected to three-dimensional finite element analysis to obtain the stress and strain distribution of the volute and determine the strength. It is a special-shaped volute, which provides a basis for the computer to evaluate the strength characteristics.

High resolution (HR) magnetic resonance (MR) images are crucial for medical diagnosis. However, in practice, low resolution MR images are often acquired due to hardware limitation. In this work, we propose a gating feature dense network to reconstruct HR MR images from low resolution acquisitions, where we use local residual dense block (LRDB) as the backbone. We propose gating mechanism, which includes absorption gate and release gate, to adaptively introduce the informative features of previous LRDBs to current LRDB to solve the problem of insufficient features sharing. The absorption gate can fuse the output feature of LRDBs with adaptive weights, which allows the model to adaptively learn the effects of different LRDBs for MR image super-resolution (SR). Experimental results show that our proposed method achieves a new state-of-the-art quantitative and visual performance in anisotropic MR image SR.

Visual Emotion Recognition has attracted more and more research attention in recent years. Existing approaches mainly depend on facial expression or analyze the whole image between positive and negative. Actually, people can recognize multiple emotions from one image based on global and 10-cal information. In this paper, we propose a Context-Aware Generation-Based Net (CAGBN), a novel architecture that makes full use of global and local information of the image by considering both the whole image and details of the target person. Inspired by psychological studies that when viewing a person in his situation, we tend to give judgments gradually rather than assign all labels at the same time, CAGBN transforms the multi-label classification problem into a sequence generation task for better recognition. Extensive experimental results on the emotion recognition dataset demonstrate the superiority and rationality of CAGBN.

In the past decade, there was much experimental and demonstration progress for the application of electrically generated plasma ignition for the medium and large caliber electrothermal chemical (ETC) guns. While the advantages of plasma ignition has been proved during a lot of firing test, the application of electothermal chemical launchers is not yet emerging in more efficient weapon system. Actually, the development of ETC gun system has always encountered with much more challenges not only from gun system itself, but also from propellant charge system.

This paper introduces operating principle of the pin-cycloid-gear planetary reducer used by fast moving switch machine. The assembly model is built by Pro/E software. In order to realize parameterization and serialization of cycloid gears, the parameter group is established and described in detail. The working process is simulated in ADAMS system in the condition of full-load. Compared with theoretical calculation, the results of dynamic simulation is correct. This is the key to the further research.

This paper builds the assembly models of double crank ring-plate-type pin-cycloidal gear planetary drive with three gears in Pro/E software system and dynamics virtual prototypes in ADAMS software system, and the working process of reducer in the conditions of no-load and full-load is simulated. The models of virtual prototypes for dynamics analysis are correct by virtual test and a good design basis and verification tool of virtual test are provided for further research.

By analyzing the shortcomings of various types of cycloid drive, a kind of new cycloid drive that named as output-pin-wheel cycloid drive is innovated. The structure of reducer and the structural dimensions of specific components are designed by analyzing its working principle. In order to validating the correctness of drive model and assembly relations of parts, a three-dimensional solid modeling and virtual prototyping are built. Dynamic simulation analysis of virtual prototyping is done in the no-load and full load conditions, which provides the theory basis for manufacture and optimization of the reducer.

For the purpose of building high-speed Locomotive Traction Gear parametric solid modeling and promoting calculation accuracy of gear's strength, this paper provides a method of parametric solid modeling of involute helical gear, and builds the parametric solid model of a kind of locomotive traction gear and two kinds of improved models by modifying the basic parameters of gear, and then imports ANSYS software system for finite element analysis about its stress distribution on the condition of interference fit and being loaded between driving gear and motor shaft. The results of analysis of different models are compared for improved design. So we proposes improvement suggestion of improving strength and working life for this kind of gear.

Mesh stiffness of involutes pair based on Hertz formulation is formulated, take into account the affect of cycloid wheel’s curvature, new calculation method of cycloid-needle pair is presented, a 24-DOF dynamical model of the RV250AII is formulated by lumped-parameter method, solved the dynamic equation by Matlab software, results shows that the nature frequency of the reducer will changing at a tiny range with the turning of cycloid, the bearings support stiffness of planet carrier and the bending stiffness of crankshaft has obvious effect on the nature frequency.

Management and share on engineering data have become key contents in engineering design. Large-scale phases data with different formats and complex relationships are produced in scientific computing and analyzing in complex product design process, because of its tentativeness and iteration. It has become a bottleneck of product design. In order to organize and manage those data efficiently, main product digital models are discussed in this paper. Product information, product structure-relation and design document three main data model are proposed. An engineering design-analysis system of ring-plate-type pin-cycloid planetary drive is developed as an example of engineering data management which has system management, product information management, drawing management and design analysis four models. The system has functions of browsing, loading, modification, deleting product information, document management, product structure management, parameter design, meshing stiffness computation and analysis, and system maintain. A synthetical design-analysis-management platform is proposed for study of ring-plate-type pin-cycloid planetary drive.