Design and application of digital management system for the sinter raw material plant
To solve the problems existed in iron and steel enterprise material plant, such as complex sources resulting in variety of materials, inaccurate inventory statistics leading to high cost, unpredictable external factors affecting material plant, etc., a digital management system is introduced in this paper. Firstly, the practical requirements and the process of material plant are analyzed. Based on the analysis, the new grid management and material balance methods are developed. Applying these methods, a new management system for material plant is designed, whose system configuration, hardware architecture, data flow, and functions of modules are introduced in details. Such system has been implemented in a large-scale iron and steel corporation sinter raw material plant. The operation results show that, this system has excellent capabilities and a promising application future in industries.
Improved tabu search algorithms for storage space allocation in integrated iron and steel plant
The fact that diversified and enormous materials are usually stored in open yards adds extra difficulty to model and solve the storage space allocation problem in material yards of iron and steel plants. This paper presents a nonlinear mathematical model for such a problem with the objective function of minimizing transportation costs and penalty trigged by the difference between materials and develops improved tabu search algorithms to solve it. These algorithms have two diversification strategies: (1) using an iterated local search strategy based on random kick moves as a method to escape from local optima and the neighborhood of descent heuristic in the iterated local search is generated by cyclic exchange moves; (2) directly using a cyclic exchange move to guide the search to a solution outside the neighborhood of a local optimum. The test with 150 random data sets proves that the tabu search with new diversification strategies is a fast and effective near optimal algorithm to solve such a practical industry problem
Computer-Aided System of Virtual Testing of Gas Turbine Engines
The article describes the concept of a virtual lab that includes subsystem of gas turbine engine simulation, subsystem of experiment planning, subsystem of measurement errors simulation, subsystem of simulator identification and others. The basis for virtual lab development is the computer-aided system of thermogasdynamic research and analysis “ASTRA”. The features of gas turbine engine transient modes simulator are described. The principal difference between the simulators of transient and stationary modes of gas turbine engines is that the energy balance of the compressor and turbine becomes not applicable. The computer-aided system of virtual gas turbine engine testing was created using the developed transient modes simulator. This system solves the tasks of operational (throttling, speed, climatic, altitude) characteristics calculation, analysis of transient dynamics and selection of optimal control laws. Besides, the system of virtual gas turbine engine testing is a clear demonstration of gas turbine engine working process and the regularities of engine elements collaboration. The interface of the system of virtual gas turbine engine testing is described in the article and some screenshots of the interface elements are provided. The developed system of virtual gas turbine engine testing provides means for reducing the laboriousness of gas turbine engines testing. Besides, the implementation of this system in the learning process allows the diversification of lab works and therefore improve the quality of training.