Belt conveyor is widely used in mine, coal, chemical industry, ports, and power plants. It’s one of the significant devices of continuous conveyor. Roller is a crucial component with regard to belt conveyor system, which supports belts and cargos. In the design of the belt conveyor, a third of major consumption went into rollers. The critical consideration for minimum cost, which including operating, manufacturing, maintenance expenditure, is the selection of idler spacing. For optimization purposes, the optimum pitch between the rollers is regard as more decisive variable, especially for minimizing consumption and reducing rollers’ number than other various factors. This paper discusses the idler spacing to proceed from original technical first, secondly analyzes the effective factors in detail and then deduces rational arrangement mathematical expressions of idler spacing. Simultaneously, combining with the corresponding parameter, we draw up the hierarchical layout figure of idler spacing distribution through the calculation expression. It’s the optimal option of idler spacing that providing an outstanding reference in the actual production.

Unsupervised Discriminant Projection (UDP) is a typical manifold-based dimensionality reduction method, and has been successfully applied in face recognition. However, UDP suffers from the small sample size problem and usually deteriorates because the basis vectors of UDP are statistically correlated. In order to resolve these problems, we propose an Optimal Uncorrelated Unsupervised Discriminant Projection (OUUDP).The aim of OUUDP is to seek a feature submanifold such that the local scatter is minimized and non-local scatter scatter is maximized simultaneously in the embedding space by using a difference-based optimization objective function. Moreover, we impose an appropriate constraint to make the extracted features statistically uncorrelated. As a result, OUUDP can solve the small sample size problem and exploit statistically uncorrelated features. Experimental results on ORL databases demonstrate the effectiveness of the proposed algorithm.

virtual prototyping technology 1980s developed a computer-aided engineering and virtual prototyping technology applications in the research and development of self-moving tail can greatly enhance progress in the development of the mechanical design of fully mechanized coal miningthe surface level of mechanization upgrade of great significance.

Green design is a new design method which is proposed under the situation of energy shortage and environmental pollution. Based on the theoretical foundation of green design, it can be done to design the conveyor belt that is as one of the most important continuous transport machinery. And it can be used to satisfy the request to save natural resources and protect the environment in the meet the premise of work requirements.

Mobile tail is an important part of the telescopic belt conveyor. It relies mainly on the hydraulic system to achieve its various functions, while the hydraulic height adjustment system is the basis of its different functions. So the operational principle of hydraulic height adjustment system of mobile tail was analyzed in this paper. Parameters which may affect the dynamic process were analyzed. Software AMESim was used to model and simulate the dynamic process. The velocity and displacement of piston and the pressure of the hydraulic cylinder were calculated by the software. Different pump flow and different heart diameter of one-way valve were used to analyze their influence on dynamic process, which provide a reference to the optimal design of hydraulic system of mobile tail.