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Using Python to Analyze and Model Chemical Engineering Processes: A Case Study of MSS Drying
Version 1
: Received: 11 October 2023 / Approved: 12 October 2023 / Online: 12 October 2023 (08:57:04 CEST)
A peer-reviewed article of this Preprint also exists.
Mihelič, E.; Klinar, D.; Rižnar, K.; Oprčkal, P. Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python. Processes 2023, 11, 3263. Mihelič, E.; Klinar, D.; Rižnar, K.; Oprčkal, P. Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python. Processes 2023, 11, 3263.
Abstract
This study investigates the use of programming language Python to analyse and model chemical engineering processes. Using municipal sewage sludge (MSS) drying as an example, the study demonstrates how Python can support analyses and model drying data. The drying process was performed on a flat plate while maintaining a uniform, parallel drying air speed of 1.15 m s-1. The Python program helped to analyse the digitalised weight measurements from each sample. The program enables sorting input data, determining the drying critical point and evaluating the first and second drying periods.
Keywords
Python programming; MSS drying; drying parameters; drying master curve
Subject
Engineering, Chemical Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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