ATAS as a Tool for Analyzing, Stabilizing and Optimizing the Graphite Precipitation in Grey Cast Iron
The world today is facing one of the greatest challenges of all times, that of climate change. All aspects of our dAlly life need to be assessed in order to find solutions for minimizing the environmental impact caused by different human processes. The industrial impact is of course one of the major contributors. When discussing for example the transportation sector and the automotive industry it is important to realize that there is no filter or catalyst you can put on an engine to lower CO2 emissions. These emissions must be lowered by using clean technologies in combination with high performance materials produced by energy saving, environmentally friendly production processes. More demanding emission laws are needed and they are coming into effect every few years. The United Nations, through its Intergovernmental Panel on Climate Change has recently set a goal of 50％ - 80％ decrease of carbon dioxide (C02)emissions until 2050. Adaptive thermal analysis system (ATAS ?) is a well established tool for analyzing, stabilizing and optimizing the production process for grey and ductile iron. ATAS?enables foundries to measure the quality of the melt when producing grey and ductile iron. Therefore ATAS ?creates incentives to improve the production process in terms of, among other benefits, saving energy, decreasing scrap rate, decreasing the amount of alloying materials and consequently decreasing the overall environmental impact of a foundry. In industrial applications today such as brake discs, brake drums, injection molds using grey cast iron and working at high temperatures the distribution of various forms of lamellar graphite (A, B, C, E and D) has become very important. In this study, the formation and distribution of flake graphite during solidification was studied in a grey cast iron alloyed with Cr and Ni. As is well known, the formation and distribution of grey cast iron can be controlled by adjustments in the chemical composition of the melt and by influencing the thermal parameters of cooling curves. When monitoring the cooling curves the eutectic reaction can be controlled by different treatments in the liquid phase such as preconditioning, inoculation, deoxidizing and sulphides/silicates/nitrides introduction. The presented article discusses a mathematical model for prediction of chemical composition and optimization of thermal analysis parameters for obtAlning optimal graphite precipitation from the melt. Examples of different corrections to the melt evolution in order to reach the optimal graphite formation and distribution during the production process are given and verified by means of the introduced mathematical model.
P. E. Persson A. Udroiu P. Vomacka G. Wang T. Sjogren
Novacast Foundry Solutions AB, Soft Center, SE-372 25 Ronneby, Sweden SP Technical Research Institute of Sweden, SE-501 15 Borns, Sweden
国际会议
69th World Foundry Congress(第69届世界铸造会议 WFC 2010)
杭州
英文
727-737
2010-10-16（万方平台首次上网日期，不代表论文的发表时间）