Kuang Yali

A Real-Time Prediction Model for Production Index in Process of Dense-Medium Separation

Online prediction models for the density components of raw coal, the float-and-sink data composition, and the expression of real-time distribution curves can be established by using a month comprehensive material of float-and-sink tests of raw coal from coal quality and preparation of a database, fast testing data, measured data from the online ash-testing instrument on the raw coal belt, and importing time as variable quantity. Real-time separation density, production yield, and ash can be predicted based on the predicted raw coal material, the required cleans yield after separation, and the online fit distribution curve, thus a real-time online optimized model can be established to predict an index of production technique and productions. Finally, the real-time controlled density in a process of a dense-medium separation can be calculated.

Soft Sensor Model for Coal Slurry Ash Content Based on Image Gray Characteristics

Coal slurry ash content is an important variable in the control of a flotation process. It can be concluded that coal slurry image gray feature has a certain correlation with ash content by analyzing coal slurry images at different ash values in this article. Based on image gray features, coal slurry ash content soft sensor models are developed by using BP Neural Network and simple eigenvalue-based Least Square Regression Method (LS), respectively. The simulation results of the two models indicate that the soft sensor model of coal slurry ash content based on the BP Neural Network is more optimal than that based on LS. The model based on BP Neural Network has a high accuracy when coal slurry ash content is higher than 35%. Through this investigation, coal slurry ash can be detected rapidly online.

A Profit-Oriented Expert System for Coal Washery Optimization

When designing a coal preparation plant, a process flowsheet should be determined to maximize profits. For a given constraint such as clean coal ash or yield, and by applying twelve basic flowsheets for coal preparation recently used in China, the optimum ash and yield composition of the coal products--coal product structure--can be obtained with the maximum profitability. In this article we studied the method of optimization in a coal plant designing expert system to acquire a required coal product structure. By comparing three fitted mathematical models of the raw coal washability curve and seven models of the partition curve, the optimum models are obtained. Based on the models, applying the profits of coal product as an objective function and utilizing the method of generalized Lagrange operators to conditionally constrain the yield and ash content of the coal product, the optimum coal preparation flowsheet was achieved using the Zangwill method. It provides an efficient theoretical basis for defining a technical plan in coal preparation plant design. This paper also studies the computer programming development and implementation of coal product structure optimization by applying an object oriented programming method in a coal plant design expert system. The overall scheme of the coal plant designing expert system, an explanation of the reasoning method, and a discussion of the self-learning mechanism are presented in this paper.

Research on the impact of model jig test device operation factors on material bed

ABSTRACT Jigging is one of the common methods for coal beneficiations. There are many factors affecting the jigging process, the three main factors consist of material characteristics, jig structure, and operation factors. For certain materials and jig structures, determining a reasonable operating system will guarantee good separation effect. Therefore, it is very important to research the impact of jigging operation factors on the material bed. We used a model jig test device to research the effects of the air cycle, inlet period, exhaust period, and air pressure on the material bed. Of these, the air cycle and air pressure were two key factors. The device’s optimum operation parameters: air cycle 1.3s, inlet period 16%, exhaust period 22%, expansion period 40%, and air pressure 0.004 MPa.

The Application of a Differential Evolution Algorithm on Products Structure Optimization in Coal Preparation Plants

The problem of product structure optimization always appears in the coal preparation plants, mines, and mining areas three ranks. The Differential Evolution Algorithm is applied to optimize the product structure in coal preparation plants. A model optimizing the coal product structure and maximizing economic benefit of coal preparation plants is developed, with the use of a Differential Evolution Algorithm toolbox in optimization software called 1stopt, then the optimum solution of the products processing is achieved. The model using the Differential Evolution Algorithm is tested through actual data; test results prove that the Differential Evolution Algorithm can be used to optimize the product structure in coal preparation plants and it has characters of simple principle, strong ability of global convergence, memorizing optimum solution, and the optimization results accord with the practical situation.

Study on the numerical simulation of the dissolved air releaser in the energy microalgae recovery device

Dissolved air flotation recovery is one of the feasible microalgae recovery methods. Choose the standard k − ε turbulent calculation model to conduct numerical simulation to the flow field of the dissolved air releaser of the energy microalgae recovery device, and study the structural parameters and power dissipation. The result of the numerical simulation conducted to the value of the velocity, pressure and turbulent kinetic energy shows that, under the given boundary conditions, the total energy consumption of the dissolved air water flowing through the releaser can reach over 90%, among which, 60% comsumed in the flow is occurred from the small room to the paralleled slit, and nearly 30% is consumed in the ring groove. So the two structures are useful tools to dissipate energy and dissolve air. Meanwhile, the structure of small room-paralleled slit can turn the internal energy into kinetic energy effectively, generate vortex turbulence and large velocity gradient, to promote the escape of air molecules and gas-liquid mass transferation, facilitating the merging of micro bubbles in the same direction and produce tiny bubbles.

Applying computer multimedia to all teaching/learning links in the national excellent curriculum—Mineral processing plant design

Mineral processing plant design curriculum is innovated ceaselessly so as to improve the education quality and to bring students up the engineering diathesis and design competence through the courses, teaching material, experiment, practice in plants, and scientific research. The computer multimedia technic plays a important role in the curriculum innovating. In practice, a serial research, named APPLYING COMPUTER MULTIMEDIA TO A SET OF TEACHING LINKS is carried out. The computer multimedia is applied to compiling the teaching material, classroom teaching, classroom-work, practice after classroom, graduation project and second classroom, which have made great progress.