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11.
转炉煤气柜位的多输出最小二乘支持向量机预测 总被引:1,自引:0,他引:1
针对钢铁企业转炉煤气系统中煤气柜位的预测问题,提出一种一致T型灰色关联分析确定柜位的主要影响用户,避免了冗余输入因素,降低了预测模型的复杂度.根据多个不同煤气柜同时并网运行的情况,提出多输出最小二乘支持向量机回归算法来建立柜位预测模型.该算法采用等式约束,通过最小化所有输出的单一和整体拟合误差,将其转换为求解一系列线性方程组,得到模型回归函数的权系数和偏置公式表示.现场数据仿真实验结果表明所建预测模型的有效性和实用性,为制定煤气调配方案提供了合理指导. 相似文献
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宝钢5m宽厚板热矫直机新工艺 总被引:5,自引:0,他引:5
厚板在生产的各个工序中都会产生各种浪形缺陷,为了满足市场和用户对钢板质量的要求,宝钢5m宽厚板轧机在加速冷却装置之后设置了一台热矫直机,主要用于轧后及加速冷却后钢板的矫直,以尽量减小钢板的不平直度。 相似文献
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Guangxin Wu Jieyu Zhang Yuling Ren Guoyang Li Xiaochun Wu Qian Li Kuochih Chou 《Metallurgical and Materials Transactions A》2012,43(6):2012-2017
First-principles method was performed to predict the effect of Ti addition on thickness and adhesion of 55 pct Al-Zn-1.6 pct
Si coating. The results of optimized geometric configurations, total energy, and charge distributions for the Ti substitution
in Fe2Al5 and FeAl3 phases indicated Ti will grab electronic charges from Al atoms, form bonds with neighboring Al, which
will reduce the growth of Fe-Al intermetallic layers, and finally enhance the adhesion of the coating/substrate. Furthermore,
experiments were performed to validate the prediction results of first-principles successfully. 相似文献
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《International Journal of Hydrogen Energy》2019,44(51):28007-28030
The effect of hydrogen in AHSS material (automobile and structural component) was discussed. Dual Phase steels were highly susceptible to hydrogen-related failure when working on hydrogen environment. The influence of hydrogen on TRIP steel was seen during fractographic examination where the brittle transgranular fracture was presented. TWIP steels results were inconsistent. The mechanisms which were responsible for crack growth are discussed. LIST and SSRT testing were performed for mechanical properties evaluation and SEM and TEM were used for microstructural examination of fractured samples. Simultaneous preventing methods to reduce hydrogen embrittlement such as coating, alloying and providing diffusion layer were discussed. 相似文献
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Iron ore sintering is one of the most energy-consuming processes in steelmaking. Since its main source of energy is the combustion of carbon, it is important to improve the carbon efficiency to save energy and to reduce undesired emissions. A modeling and optimization method based on the characteristics of the sintering process has been developed to do that. It features multiple operating modes and employs the comprehensive carbon ratio (CCR) as a measure of carbon efficiency. The method has two parts. The first part is the modeling of multiple operating modes of the sintering process. K-means clustering is used to identify the operating modes; and for each mode, a predictive model is built that contains two submodels, one for predicting the state parameters and one for predicting the CCR. The submodels are built using back-propagation neural networks (BPNNs). An analysis of material and energy flow, and correlation analyses of process data and the CCR, are used to determine the most appropriate inputs for the submodels. The second part of the method is optimization based on a determination of the optimal operating mode. The problem of how to reduce the CCR is formulated as a two-step optimization problem, and particle swarm optimization is used to solve it. Finally, verification of the modeling and optimization method based on actual process data shows that it improves the carbon efficiency of iron ore sintering. 相似文献
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对八钢430m3高炉在中心加焦过程中应该注意的问题及得到的效果进行了一些实践对比研究,通过中心加焦技术,能够达到炉况稳顺、增产降耗,确保高炉长寿。 相似文献
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