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Shivani-Gonde / BlogPost_Cu_Met_CA4Py_BP2_SmelterT_Feed_Opt.rst
Last active April 8, 2026 09:25
Cu optimization w.r.t smelter temperature and Feed FeS2 wt%

Optimizing Copper Extraction: Ore Purity–Dependent Smelter Temperature with ChemApp for Python – Part II

Introduction

In the previous blogpost (Part I), the development of the integrated process model for Smelter -> Converter -> Converter for Blister has been described. In this series of blogpost II, III, and IV, we will utilize the created process model (CuMetallurgy_Flow) from the `Blogpost I <https://gist.github.com/Shivani-Gonde/dd81aba6e2c06ec100ade15e20203ef6#process-modelling-using-chemapp-for-python-to-address-cu-metallurgical-challenges---part-i

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Shivani-Gonde / BlogPost_Cu_Met_CA4Py_BP1_ProcessModel.rst
Last active April 2, 2026 07:41
Cu Pyrometallurgy process model

Optimizing Copper Extraction: Integrated Pyrometallurgical Modelling with ChemApp for Python - Part I

Introduction

Process modelling is a key approach for optimizing industrial operations, delivering tangible gains in cost reduction, process efficiency, and environmental performance. In copper extraction, pyrometallurgical routes consist of multiple interconnected unit operations that must be considered together to understand overall behavior. Using its stream functionality, ChemApp for Python provides rigorous thermochemical calculations that allow engineers to link these unit operations into an integrated copper process flowsheet. This post presents a step-by-step guide for metallurgists and engineers on building such Cu flowsheets and computing copper output and purity under defined operating conditions for each process step. During copper extraction, the two main performance targets are the total coppe