SlagCalculator: A Framework for Slag and Metallurgical Properties

Abstract

Physical properties of multi-component slag systems are of great importance for metallurgical processes, thereby many studies have shown that properties such as density, surface tension or viscosity can be predicted using previously developed models. However, nowadays there is no such framework integrating published models for calculation of slag properties and allowing for user-friendly post-processing of data. In this study, a web-based application for calculation of slag properties both in solid and liquid state was developed in Python. The web-application predicts density, heat capacity, surface tension and other properties from temperature and slag composition provided by the user and subsequently the user has the possibility to interact with and visualize data, and compare results from various models. The architecture of the web-application was designed to address interoperability and data security concepts. In addition, the modularity of the web-application was based on standardized web architectural styles to facilitate the addition of new models or functions in the future. The current work is aimed at demonstrating the key functionality of the application and initiating discussion and further collaboration for its development.