Developing optimum melt charge calculation model for ferro alloys of required composition Available to Purchase

This paper addresses the traditional manual process of finding the optimal proportion of raw materials in foundries to obtain a melted charge of required constituent element composition. This iterative process is time-consuming and prone to human error and cost inefficiency. To solve this problem, the paper proposes a computer application that automates and optimizes the selection and proportion of raw materials using Python programming language and related libraries. The proposed application employs Pulp and Pandas libraries to optimize raw material selection and proportion and read excel files, respectively, and Pysimple GUI for user interface. The paper reports that the proposed application has achieved the objective of reducing time and cost in a test conducted for calculating different element compositions. It has reduced the time and cost by 88 % and 13 % respectively. Overall, this study contributes to the automation and digitalization of foundry processes, improving efficiency and reducing the risk of human error and cost inefficiency.