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Bo H.-G.,Dalian University of Technology | Zhang N.,Dongbei Special Steel Group Co. | Liu X.-B.,Dalian University of Technology | Huang X.-W.,Dalian University of Technology
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2010

Aiming at process industry characteristics and its Bill of Material (BOM) integration management requirements, on basis of analyzing the multi-form and mapping logic relationships of multi-view BOM, a batch-based approach for multi-view BOM transformation & mapping was presented. By associating batches, product type, application domain and product lifecycle, successive cells, substitutable cells, derivate cells, aggregating cells and the relevant transformation & mapping functions were defined. By identifying the batch-mapping characteristics of BOM, algorithms for multi-view BOM structure transformation and data mapping were put forward. And transformation mapping for multi-view BOM was realized. The BOM transformation and mapping model was proved to be feasible and effective by its application in enterprise. Thereby, the multi-view BOM integrated application model was set up for process industry. Source


Wang K.,Control Iron and Steel Research Institute, China | Wang K.,Dongbei Special Steel Group Co. | Si H.,Control Iron and Steel Research Institute, China
Journal of Iron and Steel Research International | Year: 2014

In order to confirm the segregation characteristic of phosphorus in an Fe-17Cr alloy at grain boundary, the phosphorus segregation was obtained by Auger electron spectroscopy. The results show that a maximum phosphorus segregation appeared at 450 °C for all specimens aged for 30 min at 350, 400, 450, 500, and 600 °C after being solution-treated at 1000 °C for 1 h. These results were analyzed by the characteristics of segregation peak temperature of non-equilibrium segregation. © 2014 Central Iron and Steel Research Institute. Source


Yang X.-Y.,Shenyang Ligong University | Yang X.-Y.,CAS Shenyang Institute of Metal Research | Wang J.,Dongbei Special Steel Group Co.
Cailiao Rechuli Xuebao/Transactions of Materials and Heat Treatment | Year: 2012

Annealed electrodeposited Ni-Al nano-composite (A-ENC)and micro-composite, (A-EMC) coatings with γ'/γ structure were prepared by Ni-Al composite electrodeposition on nickel plate and subsequent vacuum heat treatment. Compared with A-EMC coatings, A-ENC coatings exhibits finer grain sizes of matrix and more Al in the γ-phase matrix. A-ENC coatings show beffer oxidation resistance than that of A-EMC coatings during oxidation in air at 1000°C for 20 h. It is argued that the early formation of a continuous Al2O3 layer in the A-ENC coatings during oxidation is responsible for its higher oxidation resistance. The size effect of the Al particles on the oxidation behavior of the composite coatings is discussed in detail. Source


Meng Q.,Dalian University of Technology | Guo G.,Dalian University of Technology | Shi W.,Dalian University of Technology | Nan Z.,Dongbei Special Steel Group Co.
Advanced Materials Research | Year: 2012

In the actual production of iron and steel enterprises, alloy element yield is difficult to predict because it changes with different materials, processes, etc. Then planning weights of raw materials can't be calculated accurately so as to influence raw material cost planning control. Taking raw material attributes, process parameters, and etc. of smelting stage as the influence factors, the prediction model of alloy element yield is built. In order to increase the model's prediction accuracy, parameter optimization method for support vector regression (SVR) based on ant colony algorithm (ACO) is designed, which optimizes punish parameter, nuclear parameter and sensitive coefficient. The performance of the SVR algorithm with optimized parameters is compared with the grid search algorithm to verify that the former's performance and efficiency are better. The prediction method of alloy element yield based on the above improved support vector regression is built, whose regression and generalization performance are better compare with BP neural network, so that the relationship between influence factors and the alloy element yield is established. It can predict alloy element yield accurately according to the actual process and provide methods for realizing lean production in iron and steel enterprises. © (2012) Trans Tech Publications, Switzerland. Source


Li Z.,Northeastern University China | Li C.,Northeastern University China | Li Z.,Dongbei Special Steel Group Co. | Qiao B.,Dongbei Special Steel Group Co.
Jinshu Rechuli/Heat Treatment of Metals | Year: 2015

Spheroidizing process of GCr15 steel was simulated in pipe furnace and the effect of austenitizing temperature on spheroidization was investigated. The XRD and TEM were used to analyze the kinds of carbides and the electronic probe was used to observe the microstructure. The mean diameter, the number of carbides per unit area and mean carbides particle spacing were counted by Image-Pro Plus and Photoshop software. The results show that carbides in spheroidized GCr15 steel belong to M3C; with the increase of austenitizing temperature from 760℃ to 880℃, the mean diameter of carbides, which ranges from 0.35 μm to 0.45 μm, decreases first and then increases, the number of carbides per unit area decreases gradually, the carbides particle spacing increases and the hardness decreases. It is also found that the Vickers hardness is proportional to the area of ferrite-carbide interface, the fitting equation is HV=17.4S+190. In order to get good spheroidized structure, the austenitizing temperature should be controlled about 800℃. ©, 2015, Chinese Mechanical Engineering Society of Heat Treatment. All right reserved. Source

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