Papers by Keyword: Optimization

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Authors: Han Lin Wang, Zi Hui Ren, Li Xia Xue, Yan Li Luo
Abstract: A grey prediction model based on Free Searching (FS) () is proposed in this paper. Firstly, FS is applied to optimize the parameters of the model. The convergence of the FS algorithm is proved in order to show the reasonable of optimization with FS. Then, we give the factors which affect the precision of the prediction by analyzing the model. Based on this, the initial array is transformed. Finally, we predict several times used model and obtain the average of the prediction results’ combination. The experimental results show that the model is feasible, reasonable and effective.
Authors: Sergey A. Aksenov, Irina V. Logashina, Eugene N. Chumachenko, Milan Kotas
Abstract: The subject of the paper is a study of the material behaviour during hot rolling. The process considered is a rolling of round bar in roughing mill group which consist of four passes. The computer simulation of the process shows that the local plastic deformations which appear in the material are extremely large. This fact can leads to extension of surface defects. The dependences of maximum local plastic deformation on geometrical parameters of the calibres have been obtained and analysed during this study. The investigations performed, led to the development of new roll pass design which almost halved the maximum value of local plastic deformation in the material during the rolling. Since full 3D FEM models needs significant amount of computer memory and CPU time, it was not suitable for the performed study which involves a bulk of simulations with different initial conditions. Therefore, the quick algorithms for simulation of rolling processes which based on so-called “2.5D” method have been used. This method, due to number of simplifications, is significant faster then conventional 3D FEM, and at the same time it allows to reach good accuracy of the model. The developed computer software SPLEN(Rolling) which implements “2.5D” FEM simulations was applied for computations and analysis of the results. This software is able to predict the shape evolution of rolled material, as well as distributions of strain, strain rate and temperature within the volume of deformation zone. It has been shown that computer simulation based on “2.5D” FEM with SPLEN(Rolling) software can by efficiently used for optimization of technological procedures in rolling industry.
Authors: Fransisco Casesnoves
Abstract: Current industrial-hardface reinforcements presentdiverse geometrical shapes, reinforcement-particle size, chemicalcompounds proportions, volume-spatial-distribution, and chemicalcomposition—several kinds of manufactured material types orrecycling ones. Functional Erosion Models, namely, Integral-Differential Models, implement hardness spatial-distributionfunctions to determine accurately the erosion wear magnitude alongthe hardface [Casesnoves, 2016-7]. In previous contributions,several models were simulated/optimized in erosion impact wear overthese hardness differentiable functions—with separated mathematicalanalysis for matrix and reinforcement. This research is focused onextent numerical-computational comparison between two types ofreinforcements manufactured with the same hardface matrix andmanufactured with equal alloy substrate. The simulations, based onlarge laboratory data, are performed from hardface hardness part-distributions to complete/total hardface hardness plottings.Programming software was developed in two kinds of compilators,that is, Freemat and Matlab. Results involve both numerical anduseful graphical determinations for further modellingimplementation. Practical engineering conclusions for erosionfunctional algorithms and accurate tribological models, andrecycling engineering industry, are obtained from the study.
Authors: Tian Yuan Yang, Duo Qi Shi, Zhen Cheng
Abstract: This paper establishes a 2D geometrical parameter optimization design method of CMC/metal dovetail joint by using ABAQUS and ISIGHT. Firstly, use the ABAQUS script to finish the 2D geometric parametric modeling and the whole process of the finite element analysis of the simplified dovetail joint in the Python language. Then use ISIGHT software to optimize the 2D geometrical parameters. Finally, compare the optimization results of different optimization methods and get the optimal design parameters. This method is really efficient for the preliminary 2D design of the CMC/metal dovetail.
Authors: Da Zhi Zhang, Zheng Yi Jiang
Abstract: A three-dimensional dynamic simulation model of the molten iron flow field was presented in the paper with Fluent simulation software. Different operating parameters combinations, including different oxygen lance locations, oxygen pressures and oxygen flows, different arrangements of bottom blowing holes, hole sizes, nitrogen pressures and nitrogen flows were studied. It is shown that the relative optimum value of the distance from top-blow gun to the molten iron surface is 1500 mm, and bottom blowing hole diameter is 20mm, there is no significant difference of the blowing effects found when comparing single ring arrangement with double rings arrangement of 8 bottom blowing holes with only bottom-blow, and the bottom-blow of inner ring is disturbed by top-blow when top and bottom combined blow. Optimized design results have been applied to the design and manufacture of the actual converter, the converter has been successfully used in plant. The actual production results indicate that the desiliconization precision can reach 0.05%, the content of Cr2O3 in the slag after reduction can be less than 2%, better than the technical requirements of 3%, and improve the recovery rate of the chromium. Compared with traditional desiliconization method by iron gutter and iron ladle, desiliconization by converter does not use compression residue agents and reduce the amount of desiliconization agents and slag, and improve the desiliconization efficiency and productivity.
Authors: Jian Hua Liao
Abstract: For solving difficulty of running sluggishly and system overload in 3D simulation based equipment operation simulation system, 3D model optimization technologies including polygon simplification, instance reference and LOD are adopted combing with system characteristics of EOSS. Finally, 3D model optimization examples consists of single equipment and integrated equipment are also presented to prove its feasible and effective.
Authors: Huan Pao Huang, Ji An Yu, Qian Su, Lei Wang
Abstract: 2 × 660MW ultra-supercritical units of O'Brien Power Plant are single configuration of auxiliary pilot project, due to the higher its parameters and performance requirements, it need better control strategies to ensure safe and economical operation. Against traditional cascade PID main steam’s temperature control system delaying large, this article proposed control strategy based on Smith estimated. Main steam’s temperature controlled object inert zone mathematical model can be showed by multi-volume model, and use the improved system for large inertia Smith Predictor to make dynamic parameter control systems improvements. Simulation results of the simulation machine show that: Optimization emperor steam temperature control is in an adjustable range and the policy in separate auxiliary units is feasible.
Authors: Xi Chen, Jian Wu, Yang Zhao, Hong Tao Bai
Abstract: In the design of CAN network system, as CAN bus topology will affect network performance and cost, it is important to optimize the network topology. This paper analyzes the CAN busload based on CAN protocol, calculates the upper limit of transmission message frames in a single CAN bus. As the amount of information on the bus is increasing, a single CAN bus cannot meet the communication requirements, we put forward dividing the network into multiple homogeneous segments via multi-objective optimization method, developing a genetic algorithm strategy and solving the problem in a MATLAB platform. Finally utilize the method to design a pure electric vehicle network topology.
Authors: Fu Lai Yao, He Xu Sun
Abstract: This paper presents a class of optimization functions, and gives the optimal value. The optimal conclusion is applied to energy optimization for general devices. When the total load is fixed and the devices are used with same model, the optimal control method is given: adjusting each device to the same load, the minimum energy is required.
Authors: Xian Jun Du, Xiao Hong Hao, Ping Yu
Abstract: A Clonal Selection Algorithm (CSA) was used in this article to the wastewater biological treatment activated sludge process optimization with the lowest operational costs by limiting total substrate discharge mass. A simulation result shows that the method is efficiency, and it also provides a new approach for other optimal control problem.
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