Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Emerging Science Journal
Oyewola, Olanrewaju M.
Unknown Affiliation
Environmental Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Performance Evaluation of Inclined-Step and Wall Roughness on Battery Thermal Management System Oyewola, Olanrewaju M.; Idowu, Emmanuel T.; Labiran, Morakinyo J.; Hatfield, Michael C.; Drabo, Mebougna L.
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-01

Abstract

In this study, the effects of inclined steps and wall roughness on the step-like plenum of the Z-type battery thermal management system (BTMS) are examined, extending the literature on its design. Due to the performance of the design in achieving a reduction in maximum temperature (Tmax), additional modifications are required to provide more insight into further enhancing the thermal performance and overcoming the design’s drawback, such as higher pressure drop (ΔP). The performance of the system was evaluated in terms of the  and maximum temperature difference (ΔTmax) of batteries in the systems and ΔP across the system. The temperature values were selected after comparing the maximum temperatures recorded on each battery.  Investigations were carried out using a Computational Fluid Dynamics (CFD) method, which was validated by comparing with experimental data from the literature. Findings revealed that the step designs with inclined angles of 5°, 45° and 85° reduced the Tmax by 3.18 K, 3.9 K, and 4.34 K, respectively, when compared to the Z-type design. However, the Z-type design has the lowest ΔP value (16.50 Pa), while the original step-like design system produced the highest value (20.96 Pa). When considering the roughness, by increasing the roughness height from 5 μm to 10 μm, an increase in Tmax was observed, while wall roughness generally decreases the ΔP. From 0 to 10 μm, Tmax increased by 0.03 K (0.01%) and ΔP increased by 0.07 Pa (0.29 %), indicating negligible effects. The study, therefore, concludes that adequate selection of step design with different angles, air inlet velocity, temperature, and wall roughness will be highly beneficial for designing cost-effective and efficient BTMSs.
Examination of Students' Academic Performance in Selected Mechanical Engineering Courses Prior-to-and-During COVID-19 Era Oyewola, Olanrewaju M.; Ajide, Olusegun O.; Osunbunmi, Ibukun S.; Oyewola, Yemisi V.
Emerging Science Journal Vol. 6 (2022): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2022-SPER-017

Abstract

Advances in Information and Communications Technology (ICT) as well as the present challenges of COVID-19 have led to a new paradigm causing an absolute or partial transition from in-person classroom teaching-learning to online. There is little information available on research efforts that investigated the impact of an online learning approach on the academic performance of students in mechanical engineering-based courses. Therefore, the objective of this paper is the impact study of online learning mode as compared to in-person on academic performance of students in selected mechanical engineering courses in one of the Universities in South Pacific Islands prior-to-and-during COVID-19 Era. Data on grades obtained for 178 students that offered Fluid Mechanics, Thermodynamics, Heat Transfer, and Advanced Thermofluids (FTHA) courses were subjected to descriptive and non-parametric (Mann-Whitney and Kruskal-Wallis) statistical tests. Although descriptive analysis showed that online mode of instruction might influence a better academic performance in FTHA courses in comparison with in-person mode of instruction, the outcome of Mann-Whitney U and Kruskal-Wallis tests at specific p-values and corresponding z-values generally exhibited p-values higher than of 0.05, implying insignificant difference in performance between the two modes of learning investigated. Though the non-parametric statistical test results showed there was no significant difference in academic performance of students when online and in-person modes of learning were used, this, however, does not imply that a difference does not exist at all. Although the difference may be very trivial, descriptive analysis has shown that the online learning mode has at least exhibited better students' academic performance when compared to in-person. It can be inferred from the foregoing that the online learning mode does not yield a negative response in respect of the performance of students who offered all four mechanical engineering courses. Based on the findings of this study, online is considered a reliable alternative to in-person or at least a suitable complement to in-person in the in-person-online hybrid mode during the ongoing COVID-19 era and other inevitable constraints in the future. Doi: 10.28991/esj-2022-SPER-017 Full Text: PDF
Co-Authors Ajide, Olusegun O. Drabo, Mebougna L. Hatfield, Michael C. Idowu, Emmanuel T. Labiran, Morakinyo J. Osunbunmi, Ibukun S. Oyewola, Yemisi V.