Computer Design of a New Class of Magnetic Alloys

小行星9360131 SmartHeat技术使用一种热包覆复合材料作为“工作面”，能够以比传统加热方法更高的效率重复执行相同的加热操作，在迄今为止通过传统感应加热技术无法达到的温度范围内提供传统感应加热的好处。 该复合材料由粘结到Cu芯的铁磁合金组成。 SmartHeat设备中使用的铁磁材料仅限于FeNi二元合金。 与这些合金中的因瓦合金现象相关的效应是，接近零的热膨胀系数（CTE）、降低的磁化强度和居里温度的极端成分敏感性阻碍了SmartHeat技术的充分利用。 在这项研究中，一类新的一类铁镍基三元合金的性能将预测使用一种新的计算机程序。 计算机预测的相边界将允许确定感兴趣的组成范围。 预测的居里温度和磁矩的成分依赖性将被叠加在等温截面上，以便于选择具有最佳性能的合金。 使用现有的文献数据，定量预测CTE的二元合金的成分和温度的模型，也将开发。 该模型将被纳入计算机数据库，用于未来的计算机设计材料项目。 ***

9360131 Adler Using a metallurgically-clad composite as a "worksurface" capable of repeatedly performing the same heating operation with greater efficiencies than are obtainable with traditional heating methods, SmartHeat technology provides the benefits of conventional induction heating in a temperature range heretofore unattainable via conventional induction-heating technology. The composite consists of a ferro-magnetic alloy boned to a Cu core. Ferro-magnetic materials used in SmartHeat devices have been limited to FeNi binary alloys. The effects associated with the Invar phenomenon in these alloys vix., near-zero coefficient of thermal expansion (CTE), depressed magnetization, and extreme compositional sensitivity of the Curie temperature, have prevented full exploitation of SmartHeat technology. In this research, properties of a new class of a class of FeNi-base ternary alloys will be predicted using a novel computer program. Computer-predicted phase boundaries will allow determination of compositional ranges of interest. Predicted compositional dependencies of Curie temperature and magnetic moments will be superposed on isothermal sections facilitating alloy selection with optimal properties . Using existing literature data, a model for quantitatively predicting CTE in terms of composition and temperature for binary alloys will, also, be developed. This model will be incorporated into the computer database for use in future computer-designed materials projects. ***