Accurately and overall evaluating the comprehensive metallurgy status of base iron is the basis and guarantee for effective implementation of nodularization and inoculation treatment in ductile iron production. The establishing method of a comprehensive characterization parameter system and the corresponding evaluation model for the metallurgical status of base iron for ductile iron are studied based on the correlation degree theory in the grey system. Then, the beneficial effects and application conditions are analyzed. The main steps include:Constructing a comprehensive evaluation parameter system; Establishing the grey correlation model for metallurgical status evaluation of the base iron; Determining classification grades of the metallurgical status according to the comprehensive evaluation value calculated form the correlative evaluation model, and the adjustment plan for metallurgical status could be made according to each correlation coefficient value of single evaluation parameter. The simulation application results in laboratory condition show that the grey correlation degree value could be used to effectively evaluate the relative metallurgy quality status of the base iron. A single correlation coefficient value from each evaluation parameter could characterize the close degree to the optimal value of this characteristic parameter in the production conditions, but did not entirely determine the final nodularization effect. Under the condition of stable production, the predictive accuracy of evaluation model for divided "four grades" of base iron quality of ductile iron can reach more than 90%.
XU Zhenyu
,
LI Dayong
,
MA Xuliang
,
WANG Lihua
. Evaluation Model of the Metallurgical Status of Base Iron for Ductile Iron Based on the Grey Correlation Theory[J]. Journal of Mechanical Engineering, 2017
, 53(22)
: 37
-42
.
DOI: 10.3901/JME.2017.22.037
[1] BILL S. A new metallurgical process for the ductile iron foundry melt shop[J]. Foundry Practice,2011,253:2-7.
[2] DAVID S. Excessive oxidation of base iron-Using thermal analysis in the foundry[EB/OL].[2016-08-29]. http://www.meltlab.com/hottopics/oct2009htopic.pdf.
[3] 王言峰,徐振宇,李大勇. 铁水氧化程度对其冷却曲线形态的影响[J]. 哈尔滨理工大学学报,2016,21(5):24-28. WANG Yanfeng,XU Zhenyu,LI Dayong. Effect of the oxidation degree of molten iron on the morphology of the cooling curve[J]. Journal of Harbin University of Science and Technology,2016,21(5):24-28.
[4] STEFANESCU D M. Thermal analysis-theory and applications in metalcasting[J]. International Journal of Metalcasting,2015,9(1):7-22.
[5] SUÁREZ R,SERTUCHA J,LARRAÑAGA P,et al. Active Mg estimation using thermal analysis:A rapid method to control nodularity in ductile cast iron production[J]. Metallurgical and Materials Transactions B,2016,47(B):2744-2753.
[6] TOSHITAKE K,YUKI I,ILGOO K. Prediction of graphite nodule count and shrinkage tendency in ductile cast iron,with 1 cup thermal analysis[J]. International Journal of Metalcasting,2017,11(1):94-100.
[7] WILLY V P. Thermal analysis of cast iron-thermal analysis principles and application[EB/OL].[2016-08-13]. http://heraeus-electro-nite.com.
[8] PERSSON P E,UDROIU A,VOMACKA P,et al. ATAS® as a tool for analyzing,stabilizing and optimizing the graphite precipitation in grey cast iron[C]//Proceedings of the 69th World Foundry Congress,Hangzhou,China,2010,1-16.
[9] UDROIU A. The use of thermal analysis for process control of ductile iron[C]//Ductile Iron Society,Thermal Analysis-Process Control of Ductile Iron,Seminarium NovaCast Sweden,May 15-18,2002,AFS Transactions,Schaumburg,2002:1-19.
[10] LI Z H,LI Y X. Evaluation of melt quality and graphite degeneration prediction in heavy section ductile iron[J]. Metallurgical and Materials Transactions A,2005(36A):2455-2460.
[11] LI Z H,LI Y X,ZHOU R. Melt quality of ductile iron by pattern recognition of thermal analysis cooling curves[J]. Tsinghua Science and Technology,2008,13(2):142-146.
[12] 孙兴见,李言祥,陈祥. 蠕墨铸铁铁液状态的定量化测评[J]. 铸造,2007,56(1):59-64. SUN Xingjian,LI Yanxiang,CHEN Xiang. Quantitative measurement of compacted graphite cast iron melt quality[J]. Foundry,2007,56(1):59-64.
[13] 刘思峰. 灰色系统理论及其应用[M]. 北京:科学出版社,2000. LIU Sifeng. Grey system theory and application[M]. Beijing:Science Press,2000.
