Adeniran, Adegbola David
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Development of Dry Permanently Induced Roller Maganetic Seperator for The Concentration of Barkin-Ladi Columbite Ore ALABI, Oladunni Oyelola; Adeniran, Adegbola David; OTUBELU, Chukwuebuka Basil; JOSEPH, Ojotu Ijiwo; Akinbowale, Taiwo Timothy
Borobudur Engineering Review Vol 5 No 2 (2025): Proses Industri Manufakur
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.v5i2.13627

Abstract

The development of a permanent induced magnetic separator aims to achieve an innovative, cost-effective, and locally sustainable solution for separating columbite ore into magnetic and non-magnetic fractions. The separation of magnetic and non-magnetic ores is a critical process in various industries, including mining, recycling, resource recovery and mineral processing. The conventional methods of separation often rely on large-scale and energy-intensive equipment, making them economically prohibitive, especially for small-scale operations. Researchers and Engineers have conducted numerous studies to comprehend how different types of paramagnetic minerals behave when separated using various separator technologies. However, despite these efforts, these separators have not been widely adopted for processing different paramagnetic minerals. This paper examines the current state of these separators, providing an overview of their operational mechanisms, practical uses, and theoretical models. It goes further to develop an induced roller magnetic separator after considering various factors such as magnetic susceptibility cost and performance, while observing certain industry specifications. The resulting design was found to produce a substantial strength of the magnetic field of about 2.2 Tesla that can be used to separate certain minerals for a reasonable period of time. 2 Kg samples of the crude Barkin-Ladi columbite ore was charged into the machine hopper at 0.05 tons per hour to evaluate the effectiveness of the fabricated machine. The efficiency of the machine was found to be about 85%n. Further implementation and modification of this design will hope to yield an increase in the extraction and processing of various minerals internally within Nigeria, providing jobs and improving the economic status of the Nation.
Python-Based Heat Transfer Modeling for Charcoal Kiln Optimization Adeniran, Adegbola David; Oyelami, Seun; Okedere, Oyetunji; Adeboye, Busayo; Oyewo, Abideen
Borobudur Engineering Review Vol. 6 No. 1 (2026): Advanced Industry
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/160b7z68

Abstract

This study presents a Python-based multiphysics framework for modeling and optimizing heat transfer in insulated metallic charcoal kilns, targeting improved thermal efficiency, reduced processing time, and enhanced charcoal yield. The model couples transient heat conduction, convective–radiative losses, moisture evaporation, and biomass pyrolysis kinetics, solved using finite-difference schemes and validated against pilot-scale kiln measurements. Model predictions achieved temperature deviations below 8 °C above 200 °C and charcoal yield errors within 5% of experimental values. A multi-objective optimization using NSGA-II identified optimal kiln configurations that increased thermal efficiency from 42.5% to 67.3%, reduced carbonization time by 28–35%, and improved charcoal yield to 32–35% compared with conventional designs. Sensitivity analysis showed insulation thickness and heating rate to be the dominant design variables, while excessive insulation yielded diminishing returns. Compared with recent kiln and rotary-reactor studies, the proposed Python framework offers superior transparency, flexibility, and computational efficiency. The results demonstrate that open-source numerical tools can provide a cost-effective pathway toward cleaner, energy-efficient charcoal production, supporting sustainable biomass utilization in developing economies. Keywords: Heat-transfer; Wood; Pyrolysis; Charcoal-kiln; Modelling.