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首页> 外文期刊>Journal of Materials Research >Prediction of new additives for galvanizing process by the properties of their constituent chemical elements
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Prediction of new additives for galvanizing process by the properties of their constituent chemical elements

机译:通过其组成化学元素的性质预测用于镀锌工艺的新型添加剂

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摘要

Chemical element properties are generally classified in six groups; size, atomic number, electrochemical factor, valence-electron, cohesive energy, and angular valence-orbital. It is well known that some bulk properties of materials, like electrical conductivity and heat capacity of metals, may be interpreted in principle based on their constituent chemical element properties. In this study, effects of additives in galvanizing have been correlated to the chemical element properties of the additives. By screening all chemical elements (in the periodic table of elements) with this model, new additives, like Ca, Sc, Ge, Sr, and Y, have been predicted to reduce the steel weight loss in galvanizing. This model may also help to design new alloys as additives.
机译:化学元素的性质通常分为六类:尺寸,原子序数,电化学因子,价电子,内聚能和角价轨道。众所周知,原则上可以基于它们的组成化学元素特性来解释材料的某些整体特性,例如金属的电导率和热容量。在这项研究中,添加剂在镀锌中的作用已与添加剂的化学元素性质相关。通过使用该模型筛选所有化学元素(在元素周期表中),已预测出新的添加剂,例如Ca,Sc,Ge,Sr和Y,可减少镀锌中的钢重量损失。该模型还可以帮助设计新合金作为添加剂。

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