Browsing by Author "Temitayo Samson Ogedengbe"

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A Review of Failure Analyses in Engineering: Causes, Effects and Possible Solutions
(IEEE, 2023-05-22) Temitayo Samson Ogedengbe; Ikumapayi Omolayo Michael; Adekunle Akanni Adeleke; Peter Pelumi Ikubanni; Adeiza Avidime Samuel
Failure analysis is centred on finding the reasons why machine parts lose functioning in an unintended way. In order to identify the damage's primary cause and ensure that it doesn't happen again, failure analysis investigation is necessary in determining the maximum amount of a specific type of load that may be applied to a structure without producing failure. It is frequently of interest throughout the design phase for engineering constructions. This provides the factor of safety against machine failure. This study is aimed at a review of failure analysis in recent times and as such 51 articles were reviewed, most of which were published no later than 2017. In this study, we critically examined and endorsed the idea of using failure as a methodological concept to foster creativity. Engineering-related operational methods, such as causes of failure, types of failure, possibility thinking, and reflexivity following failure, aided in reinforcing this educational study. We also made assumptions about potential design components for a technologically sophisticated failure assessment.
A Review of Rare Earth Ion-Doped Glasses: Physical, Optical, and Photoluminescence Properties
(Trends in Sciences, 2024-10-22) Serifat Olamide Adeleye; Adekunle Akanni Adeleke; Petrus Nzerem; Adebayo Isaac Olosho; Esther Nneka Anosike-Francis; Temitayo Samson Ogedengbe; Peter Pelumi Ikubanni; Rabiatu Adamu Saleh; Jude A. Okolie
Researchers worldwide have shown significant interest in doping glasses with rare-earth ions. This is particularly intriguing because rare-earth ions are extensively used to enhance the optical properties of host glasses, capitalizing on their unique spectroscopic characteristics due to optical transitions within the intra-4f shell. An in-depth review was conducted on various glass fabrication methods, such as sputtering, solgel, chemical vapor deposition, ion exchange, and direct melt quenching. The study emphasized the physical, optical, and photoluminescence properties of glasses made from glass formers co-doped with rare earth ions. Understanding the interrelationship between these properties is crucial for optimizing material performance across various technological applications. The research highlights the broad applicability of rare-earth-doped glasses in fields like white light emission, photonic devices, solid-state lasers, optical fiber communication, and biomedical applications
A Review of the Physical, Optical and Photoluminescence Properties of Rare Earth Ions Doped Glasses
(TRENDS IN SCIENCES, 2024-10-22) Serifat Olamide Adeleye; Adekunle Akanni Adeleke; Petrus Nzerem; Adebayo Isaac Olosho; Esther Nneka Anosike-Francis; Temitayo Samson Ogedengbe; Peter Pelumi Ikubanni; Rabiatu Adamu Saleh; Jude A. Okolie
Doping glasses with rare-earth ions have garnered significant attention among researchers worldwide. This interest stems from the widespread utilization of rare-earth ions to enhance the optical characteristics of host glasses and exploit the unique spectroscopic properties arising from their optical transitions in the intra-4f shell. Thus, this study reviewed the exceptional potential of rare-earth ion-doped glasses (REIs) in various applications such as solid-state lasers, photonic devices, communication optical fibers, and white light emission. Various methods for the fabrication of glass such as direct melt quenching, sol-gel, ion exchange, sputtering and co-doping techniques were reviewed extensively. The Specific focus was on the physical, optical and photoluminescence properties of glasses produced from glass formers co-doped with rare earth ions. The investigation centers on the comprehensive current applicability of REI-doped glasses. The review concludes based on the physical, optical and photoluminescence properties of rare earth ion-doped glasses that they are extremely useful in photonics, lasers, biomedical and optical communication applications.
Advent of Artificial Intelligence in Automotive Engineering
(IEEE, 2024-02-29) Adeiza Avidime Samuel; Adekunle Akanni Adeleke; Esther Nneka Anosike-Francis; Temitayo Samson Ogedengbe; Peter Pelumi Ikubanni; Favour Oluwasayo Adeyemi; Jamiu Kolawole Odusote; Matthew Onuoha; Usman Shuaib
Artificial intelligence (AI) has long been a topic of interest and with its constant development and growing popularity and functions, it is no surprise that it has made its way into the automotive industry. For ages, people have done research regarding AI in the automotive industry, and with the increasing popularity of this subject, the research only goes deeper. This paper gives an analysis of previous research under different areas which involve AI in automotives, somewhat singling out autonomous vehicles. We also go into the basis of artificial intelligence, as well as highlight a few challenges which face the integration of AI into the automotive industry.
ASSESSMENT OF TRIBOLOGICAL PROPERTIES OF STIR CAST Al6063 ALLOY REINFORCED WITH OKABA COAL ASH
(SCICELL, 2023-03-23) Jamiu Kolawole Odusote; Adekunle Akanni Adeleke; Peter Pelumi Ikubanni; Qudus Badrudeen; Adeiza Avidime Samuel; Olalekan Ogunniyi; Temitayo Samson Ogedengbe
Composite are multi-phase materials made up of matrix and reinforcement. This paper assesses the tribological property of Al6063 alloy (AMCs) reinforced with Okaba coal ash (OCA) using the stir casting method. By using a constant speed of 1000 rpm and two different loads (250 g and 750 g) on Taber wear apparatus, the tribological properties of the produced composite are contrasted with those of an unreinforced Al6063 alloy. The results show a reduction in wear index and the highest abrasion resistance at 4 wt.% coal ash at 500 g and 1000 rpm, as well as at 0, 2, and 6 wt.% with 8.688, 5.878, and 5.813 at 500g and 8.688, 5.878, 4.125, and 5.813 at 750g, respectively. Therefore, for all composite products compared to metal, there is an increase in abrasion resistance with a decrease in wear index, but this decreases when the load is increased to 750g, showing that the higher the load, the higher the wear index, which results in a reduction in abrasion resistance. Load is taken into greater consideration when using the AMCs manufactured in engineering applications. Additionally, SEM images revealed uniform distribution of the OCA reinforcement in the matrix alloy; thereby, improving its wear resistance.
Comparative studies of machine learning models for predicting higher heating values of biomass
(Institution of Chemical Engineers (IChemE), 2024-06-29) Adekunle Akanni Adeleke; Adeyinka Adedigba; Steve Adeshina; Peter Pelumi Ikubanni; Mohammed S. Lawal; Adebayo Isaac Olosho; Halima S. Yakubu; Temitayo Samson Ogedengbe; Petrus Nzerem; Jude A. Okolie
This study addresses the challenge of efficiently determining the higher heating value (HHV) of biomass, a crucial parameter in large-scale biomass-based energy systems. The conventional method of measuring HHV using an oxygen bomb calorimeter is time-consuming, expensive, and less accessible to researchers, particularly in developing nations. To overcome these limitations, we employed four machine learning (ML) models, namely Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost). These models were developed by using proximate and ultimate analysis parameters as input features. Up to 200 datasets were compiled from literature and used for the ML models. Our results demonstrate the effectiveness of all ML models in accurately predicting the HHV of biomass materials. Notably, the XGBoost model exhibited superior performance with the highest R-squared (R2) values for both training (0.9683) and test datasets (0.7309), along with the lowest root mean squared error (RSME) of 0.3558. Key influential input features identified for HHV prediction include carbon (C), volatile matter (Vm), ash, and hydrogen (H). Consequently, this research provides a reliable alternative for predicting HHV without the need for costly and time-intensive experimental measurements, facilitating broader accessibility in biomass energy research.
Compositional Analysis and Characterisation of Non-edible Plant Biomass for Carboxymethyl Cellulose Production
(IEEE, 2023-11-01) Hauwa A. Rasheed; Adekunle Akanni Adeleke; Petrus Nzerem; Ayuba Salihu; Temitayo Samson Ogedengbe; Peter Pelumi Ikubanni
This study assesses the compositional analysis and characterization of eight non-edible plant biomass identified as a potential feedstock to produce carboxymethyl cellulose. The materials' contents were ascertained by gravimetric analysis, and they were further characterized using Fourier transforms Infrared spectroscopy. According to the research, cellulose was present in substantial amounts ranging from 33 % to 41 %, with sugarcane bagasse having the highest concentration. The percentage of hemicellulose ranged from 18 % to 28 %, with corn cob having the highest percentage. Also discovered was that lignin content varied between 9 % and 22 %, with mahogany having the highest amount amongst the samples. The FTIR spectroscopic analysis of all eight samples reveals a broad band at around 3300 cm-1, which is caused by the stretching vibration of the cellulose's O-H groups. The observed peaks at 1600 cm-1 and 1500 cm-1 correlated to the hemicellulose and lignin's respective C=O and C=C stretching vibrations. Additionally, a significant sharp peak that matched the stretching vibrations in the skeleton of the pyranose ring, C-O-C, was seen at roughly 1050 cm-1. Thus, the findings of this study indicate that all eight samples can yield a respectable amount of cellulose, suggesting that these wastes may serve as feedstocks for the creation of biopolymers like carboxymethyl cellulose (CMC).
Development of hydrometallurgical purification process for Nigerian gypsum ore in hydrochloric acid. Part II: Recovery of pure gypsum from leached liquor
(IEEE, 2023-11-01) Adebayo Isaac Olosho; Folahan Amoo Adekola; Adekunle Akanni Adeleke; Alafara Abdullahi Baba; Kalenebari Kerein Kpabep; Suleiman Suleiman Abba; Divine Uwaoma Okezie; Temitayo Samson Ogedengbe; Ayuba Salihu
As the world grapples with the challenges of resource scarcity and sustainability, the need to develop indigenous raw materials has gained paramount importance. To achieve self-sufficiency and reduce dependence on foreign sources, harnessing hydrometallurgical processes to extract valuable elements from ores presents a promising solution. Raw gypsum from Postikum, Nigeria, was leached in hydrochloric acid to obtain a pure calcium sulphate dihydrate. The dissolution kinetics have been reported elsewhere. This present study focused on optimizing the recovery of pure gypsum by varying acid concentration, temperature, and solid-liquid ratio. Additionally, the recyclability of regenerated hydrochloric acid was tested. The characterization of the raw gypsum ore (RWG), leached residue (LR), and recovered pure gypsum (RCG) was done using SEM-EDS, XRF, and XRD, respectively. The recovered gypsum was characterised by a brilliant white colour in contrast to the initial brown colour of the ore. XRF results show that RWG contains 50.48% SO3 while RCG contains 57.72 %. XRD results revealed that RWG contains gypsum, magnesite, mordenite, witherite, and calcite, LR contains mordenite, witherite and quartz while RCG consists of gypsum crystal phase only with no impurities. Remarkably, 85% RCG was successfully recovered at the fourth recycle stage of HCl lixiviant. These findings demonstrate that hydrometallurgical treatment of gypsum ore with hydrochloric acid can produce very pure gypsum.
Formed Coke from Coal and Plastic: A Review
(IEEE, 2023-02-28) Adekunle Akanni Adeleke; Petrus Nzerem; Ayuba Salihu; Jamiu Kolawole Odusote; Adebayo Isaac Olosho; Peter Pelumi Ikubanni; Yazeed Abubakar Mohammed; Samuel Chijoke Lawrence; Temitayo Samson Ogedengbe; Adeiza Avidime Samuel
Isolation, characterization and response surface method optimization of cellulose from hybridized agricultural wastes
(Scientifc Reports, 2024-06-21) Hauwa A. Rasheed; Adekunle Akanni Adeleke; Petrus Nzerem; Adebayo Isaac Olosho; Temitayo Samson Ogedengbe; Seun Jesuloluwa
This study explores the utilization of eight readily available agricultural waste varieties in Nigeria—sugarcane bagasse, corn husk, corn cob, wheat husk, melina, acacia, mahogany, and ironwood sawdust—as potential sources of cellulose. Gravimetric analysis was employed to assess the cellulose content of these wastes, following which two selected wastes were combined based on their cellulose content and abundance to serve as the raw material for the extraction process. Response Surface Methodology, including Box-Behnken design, was applied to enhance control over variables, establish an optimal starting point, and determine the most favorable reaction conditions. The cellulose extracted under various conditions was comprehensively examined for content, structure, extent of crystallinity, and morphological properties. Characterization techniques such as X-ray Diffraction, Scanning Electron Microscopy, and Fourier Transform Infrared Spectroscopy were employed for detailed analysis. Compositional analysis revealed sugarcane bagasse and corn cob to possess the highest cellulose content, at 41 ± 0.41% and 40 ± 0.32% respectively, with FTIR analysis confirming relatively low C=C bond intensity in these samples. RSM optimization indicated a potential 46% isolated yield from a hybrid composition of sugarcane bagasse and corn cob at NaOH concentration of 2%, temperature of 45 °C, and 10 ml of 38% H2O2. However, FTIR analyses revealed the persistence of non-cellulosic materials in this sample. Further analysis demonstrated that cellulose isolated at NaOH concentration of 10%, temperature of 70 °C, and 20 ml of 38% H2O2 was of high purity, with a yield of 42%. Numerical optimization within this extraction condition range predicted a yield of 45.6% at NaOH concentration of 5%, temperature of 45 °C, and 20 ml of 38% H2O2. Model validation confirmed an actual yield of 43.9% at this condition, aligning closely with the predicted value. These findings underscore the significant potential of combinning and utilizing agricultural wastes as a valuable source of cellulose, paving the way for sustainable and resource-efficient practices in various industrial applications.
Metal Matrix Reinforcements - Fabrication, Applications, and Properties: A Review
(IEEE, 2023-11-01) Adeiza Avidime Samuel; Ishiaka Shaibu Arudi; Sambo Markus; Adekunle Akanni Adeleke; Temitayo Samson Ogedengbe; Seun Jesuloluwa; Mazeedah Aladejana; Osagie O. Jahswill; Samuel Lawrence Chijioke; Ayodeji Emmanuel Adeyelu
Metal matrix composites (MMCs) have emerged as a transformational class of materials, demonstrating exceptional promise for increasing mechanical, thermal, and specialized characteristics across varied applications. This study gives a detailed assessment of current improvements in metal matrix reinforcements, concentrating on their effects, production processes, and applications. Particulate, fiber, and whisker reinforcements are examined for their influence on mechanical, thermal, and specialized characteristics. Various production processes, including solid-state fabrication and liquid-state fabrication, are examined. The evaluation focuses on applications in the aircraft and automotive industries. Addressing obstacles and future prospects in scalable manufacturing and innovative reinforcements, the article gives insights into the growing environment of metal matrix composites over the past years.