Dr. IWERIOLOR SUNDAY
Publication Title Modelling and optimization of operating parameters for improved steam energy production in the food and beverage industry in a developing country
Publication Type journal
Publisher
Paper Link 12:1417031. doi: 10.3389/fenrg.2024.1417031
Publication Authors Olamide O. Olusanya 1 ,2 *, Anthony O. Onokwai 3, 4 *, Benjamin E. Anyaegbuna 2 *, Sunday Iweriolor 5 and Ezekiel B. Omoniyi 3
Year Published 2024-07-04
Abstract Efficient steam energy production was essential for reducing energy
consumption and operational costs while enhancing productivity, particularly
in industrial settings prone to explosions due to boiler parameter control issues.
This challenge was especially acute in the food and beverage industry amid rising
energy costs and stricter environmental regulations, highlighting the importance
of optimizing steam energy production. This study focused on refining
operational parameters in a steam production plant to maximize steam energy
output. It utilized mathematical models and optimization tools to identify ideal
operational conditions and investigate extreme scenarios. Design-Expert version
13.0 statistical software and Response Surface Methodology (RSM) via Centre
Composite Design (CCD) were employed to create a comprehensive design
matrix encompassing key variables like time, pressure levels, temperature, mass
flow rate, and steam energy production across three experimental levels. The
research revealed that increased pressure and time significantly boosted steam
energy production by leveraging water’s energy content rise under initial
conditions, thus improving efficiency by reducing required water mass
circulation. Moreover, elevated temperature and extended operation
enhanced economizer efficiency, leading to increased heat recovery and
reduced steam generation. Steam generation also increased with temperature
and time due to the pressure rise during boiling, necessitating more energy for
steam conversion. An optimum yield of steam energy of 620 Cal was attained at a
time, pressure, temperature, and mass flow rate of 1 h, 16.97 MPa, 249.5 ° C, and
59.85 kg/s, respectively. The mathematical model developed is accurate, reliable,
responsive, and can replicate the experimental data due to the high F-value
(24.48), low CV (0.94) low p-value (< 0.005), and high R2 (0.9821) value close to 1.
Publication Title ).Sessile Drop Approach to Surface Energy Determination of Hepatitis C Virus Infected Blood Cells
Publication Type journal
Publisher Faculty of Engineering,Nnamdi Azikiwe University,Awka
Publication Authors Iweriolor, S., Achebe, C.H., and Ani O.I.(2020).
Year Published 2020-02-18
Abstract This study employed the contact angle approach to measure the angle formed using sessile drop techniques with glycerin as probe liquid on HCV infected and uninfected blood samples. The research also is embodied with the determination of CD4 counts on both the infected and uninfected samples of the blood and the surface free energy of the blood samples which served as a useful determinant in the prediction of the activities of the virus on the blood samples. A total of twenty blood samples were used for the study. Smearing was done on the slides at room temperature and allowed to dry, glycerin was dropped on the surface of the smeared slide while the spreading process is captured. The average contact angle obtained for infected white blood cells was 63.4±3.20 which was observed to be the highest while that for uninfected white blood cells was 48.5±2.75 and are in agreement with literature results. The contact angle data was used for MATLAB computation to obtain the surface free energy. The interfacial surface energy for uninfected blood derived as 44.35±1.90 mJ/m2 was reduced to 33.54±2.31 mJ/m2 for the infected blood due to interaction effects of the virus. The findings of this research have provided a clue for the pharmaceutical industries towards gaining an insight to the interaction mechanism of hepatitis c virus to enable the design of drugs for the treatment of the virus.
Publication Title DESIGN AND CONSTRUCTION OF A 10KVA MULTI-RANGE ELECTRIC ARC WELDING MACHINE
Publication Type journal
Publisher Bushwealth Academic Publication and Center For Advanced Research and Development Studies
Paper Link [PDF] from bwjournal.org..DESIGN AND CONSTRUCTION OF A 10KVA MULTI-RANGE ELECTRIC ARC WELDING
Publication Authors 1Sunday Iweriolor, 2Okoh Benson, 3Blessing Josephine Ossai
Year Published 2023-03-08
Abstract An electric arc welding machine was designed and constructed with a 10kVA, single phase multirange alternating electric current. The machine was designed, fabricated and tested using locally
made materials and tools available in Nigeria. This work was achieved through the design and
construction of a core type of power transformer with an aluminum conductor and blast cooling
medium, which step down the 230 volts main supply voltage to the appropriate voltage levels of
38 volts, 50 volts, 80 volts and 125 volts respectively. The welding machine on testing has
efficiency of 89%, power factor of 71.4 and voltage regulation of 80%. This work will be of good
significance to professionals and organizations involved in metal work and can also create job
opportunities for our teeming youths if the methods are tremendously followed.
Publication Title Numerically Optimized Effects of Contact Time Factor of Pulverized and Modified Bio-Adsorbents on Nitrogen Removal Rates in Industrial Wastewater
Publication Type journal
Publisher MAT Publishers
Publication Authors Blessing Josephine Ossai, Sunday Iweriolor, Eyide Odeworitse
Year Published 2023-01-24
Abstract This study investigated the effect of contact time of two agricultural wastes (cassava peels and ripe plantain peels) used as bioadsorbents that were modified with base and acids to ascertain their ability to absorb nitrogenous compounds from hospital and abattoir wastewater. The absorbents were prepared using standard procedures into powdered forms and a portion was modified with acid and base respectively. Fourier Infrared spectroscopy was used on the prepared absorbents to determine the organic and functional groups present. Each modified bio-adsorbents was used to inoculate each of the 250 ml flasks containing the wastewater sample. Contact was allowed to be made for 14 hours and the nitrogen removal rate was measured and recorded. The Nitrogen concentration in the wastewater was determined using Ultra-violent spectroscopy. Response surface optimization was used to investigate the effect of contact time on the nitrogen removal rate. Models were generated to analyze the interactions between variables at optimum conditions. The results showed that the bio-adsorbents have the ability to remove nitrogen from wastewater. The nitrogen percentage removal recorded was 57%, 81%, and 77%, 55%, 91%, and 78% respectively. The R2 from ANOVA was seen to be 96.5%, 97.9%, 97.9%, 98.2%, and 99.7%, and 97.9% repectively. Experimental results were best fitted into linear and quadratic polynomial models. The optimum conditions having desirability of 0.964 showed that the time of 13.558 hrs. The values obtained are a good indicator that the bio adsorbents used in this should be considered by the chemical industries in the process of
absorbent design and production.
Publication Title Biobased hybrid composite design for optimum hardness and wear resistance
Publication Type journal
Publisher Elsevier Publishers
Publication Authors Christian Emeka Okafor, Iweriolor Sunday, Okwuchukwu Innocent Ani, Nürettin Akçakale, Godspower Onyekachukwu Ekwueme, Peter Chukwuemeka Ugwu, Emmanuel Chukwudi Nwanna, Anthony Chinweuba Onovo
Year Published 2023-03-07
Abstract The present investigation considered the design of a biobased hybrid particulate composite for optimal hardness and wear resistance. Tests were conducted based on the plan of 20 sets of experiments generated through Model-Based Calibration Toolbox™ contained in MATLAB routines. A Portable Ultrasonic Hardness tester was used to record the hardness properties while the wear behavior of the composite was tested using a pin-on-disk machine. The optimization study was applied to the Calibration Generation (CAGE) platform utilizing the Normal Boundary Intersection (NBI) algorithm which enables the development of a Pareto optimal set with a continuous and equally distributed chart. Scanning Electron Microscopy (SEM) was used to perform morphological examination. From the optimized results, it was observed that a particle size of 1752 µm, a volume fraction of 45%, and a stirring time of 70 s gave the best-ranked composite exhibiting optimal values of 784.91 Leeb hardness, 643.19 Rockwell hardness, 593.17 Brinell hardness, and 0.000139 mm3/Nm specific wear rate. Under the same conditions, the predicted values of the optimization model closely matched the experimental results. The NBI optimization technique proves to be a viable method for performing material design and property improvement tasks. Surface morphology analysis via SEM revealed that the wearing of bio-based hybrid particulate composite parts is associated with delamination and abrasion mechanisms. It is implied that the new material can be used for applications such as furniture, automotive spare parts, and other inexpensive technical solutions.
Publication Title Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Publication Type journal
Publisher Elsevier Publishers
Publication Authors Christian Emeka Okafor, Iweriolor Sunday, Okwuchukwu Innocent Ani, Shahnawaz Ahmad, Shabana Mehfuz, Godspower Onyekachukwu Ekwueme, Okechukwu Emmanuel Chukwumuanya, Sylvester Emeka Abonyi, Ignatius Echezona Ekengwu, Okechukwu Peter Chikelu
Year Published 2023-04-03
Abstract Reinforced composite is a preferred choice of material for the design of industrial lightweight structures. As of late, composite materials analysis and development utilizing machine learning algorithms have been getting expanding consideration and have accomplished extraordinary upgrades in both time productivity and expectation exactness. This review encapsulates recent advances in machine learning-based design of reinforced composite during the last half-decade. It summarizes the limitations of traditional methods of reinforced composite development and presents a detailed protocol of machine learning in composite materials technology; implementation of machine learning algorithms in reinforced composite material design was covered, with an emphasis on the importance of data hygiene. Machine learning integration in material and process selection, and data sourcing techniques for machine learning-based design were also examined. The evaluation also looked at emerging digital tools and platforms for implementing machine learning algorithms. In addition, an essential effort was made to identify research gaps and define areas for further research. This review is indeed designed to provide some direction for future research into the use of machine learning for composite material design.
Publication Title LINEAR REGRESSION ANALYSIS AND EVALUATION OF ENERGY PRODUCTION AND ITS IMPACT ON THE ECONOMY OF NIGERIA.
Publication Type journal
Publisher Bushwealth Academic Publication and Center For Advanced Research and Development Studies
Publication Authors S. Iweriolor, B. Ossai
Year Published 2022-12-08
Abstract This study first established a relationship between crude oil production and oil income using a linear regression analysis. By way of calibration, the article investigates quantity per barrel that must be produced annually to ensure an increase in Nigeria's oil revenues. The study also makes recommendations for in terms of policy formulations that would enable oil output increase, which would increase the country's economic ability to generate revenue.
Publication Title Effective Tricycle Maintenance Strategy in a Growing Economy: Case Study of Selected Brands
Publication Type journal
Publisher MAT Publishers
Publication Authors Ugochukwu C Okonkwo, Onyeka M Abasili, Sunday Iweriolor
Year Published 2022-12-06
Abstract The adoption of an effective tricycle
maintenance strategy had been seen as an
anchor that would go a long way in halting
economic recession. The incessant breakdown
of tricycles and associated economic
consequences motivated the study.
Performances of different brands of tricycles
that include: Bajaj 2s (two-stroke), Bajaj 4s
(four strokes), Tvs King, Piago and Innoson
were evaluated. Primary data was obtained
from both maintenance workshops and
tricycle operators in Ekwulobia, Anambra
State of Nigeria. Secondary data were equally
considered. Evaluations made within 3 weeks
of continuous engagements revealed a
decrease in failure rate from 0.05 to 0.01, a
decrease in probability density function from
0.05 to 0.01, and increase in reliability from
0.87 to 0.89. After 24 weeks, the failure rate
increased from 0.01 to 0.13, the probability
density function increased from 0.01 to 0.119
and reliability decreased from 0.89 to 0.1.
Meantime between failures of 8.4309 weeks
was hence computed. Procurement of tools
worth N13,930 along with the acquisition of
requisite maintenance training was proffered
to save maintenance deficit of N91,000,
N345,500, N121,500, N471,700, N318,600 and
down time cost of N63,000, N432,000,
N89,000, N592,000 and N273,000 for Bajaj 2s,
Bajaj 4s, Tvs King, Piago and Innoson
tricycles, respectively. Achievements of the
study would enable tricycle manufacturers to
upgrade their rendered services.
Publication Title MATHEMATICAL MODELING OF COHESION ENERGY FOR CORONA VIRUS PARTICLES IN HUMAN BLOOD CELL USING THERMODYNAMIC CONTACT ANGLE APPROACH
Publication Type journal
Publisher Bushwealth Academic Publication and Center For Advanced Research and Development Studies
Publication Authors Iweriolor Sunday
Year Published 2020-10-25
Abstract The uniqueness of the corona virus microbiological pathways has necessitated the need for a
mathematical model to predict its surface interaction with human blood cells which can serve as a proactive measure in the understanding of the virus and the development of the vaccine. It is clear from this study that the interaction between virus and the host cell during the first step of virus-host encounter is not just limited to the hospitality of the host cells to the virus resulting in cellular binding and entry. Virus-host interaction is a two way dialogue in which the virus takes advantage of the host cells owned signal transduction system to transmit signals to the cells. The model so develop can make use of so many probe liquids like water with surface tension of 72.8dyn/cm, glycerin at surface tension of 63.4 dyn/cm, olive oil with surface tension 32 dyn/cm. This model can be extended to other viral infection such as herpes simplex virus, hepatitis c virus and so on for the determination of their surface interaction energies with the human blood cells so long as the contact angle has been determined experimentally.
Publication Title Image J Analyses of Six Different Annealed Temperatures of 0.17%C of HSLA Steels
Publication Type journal
Publisher
Publication Authors Iweriolor, S.,Emordi, N. G., and Onyekpe
Year Published 2020-09-09
Abstract Annealing is a heat treatment procedure in which the mechanical properties of a material are being altered, and such alterations cause changes in its properties such as strength and hardness. It is usually carried out to improve ductility and toughness, to reduce hardness and to remove carbides. This study deals with the use of image analysis processing method for the measurement of structure of six annealed samples of 0.17% High Strength Low Alloy (HSLA) Steels (840°C - 990°C) with 30°C interval and 30 minutes soaking time. From the optical microscope images using Image J program, some parameters like calculation of area, pixel value statistics, distances and angles measurements, edge detection, such as the circularity, ferret angle, solidity and perimeter, average area and the percentage area were examined. The annealed sample of 960°C gave the highest grain count of 543 with a perimeter of 41.518; standard deviation 7.057 and a mean of 28.722 which shows that annealing greatly improved the fatigue life of the steel. From the mechanical analysis result, the annealed sample at 840°C has a highest hardness value of 129.4 BHN and gave the lowest impact value of 58.75 J. This study shows a significant decrease in the hardness value as the annealing temperature increased which signifies that annealing temperature enhanced the fatigue property and tensile strength (wear strength) of the steel in study
Publication Title Surface Energetics Study and Determination of Combined Negative Hamaker Coefficient for Hepatitis C Virus Infected Human Blood Cells.
Publication Type journal
Publisher scirp.com
Publication Authors Iweriolor, S., Achebe, C.H., and Chukwuneke
Year Published 2018-06-25
Abstract This study investigated the interactive effects of Hepatitis C virus on human cells using the contact angle approach. The methodology involves the use of sessile drop approach to de termine the contact angle formed on the infected and uninfected blood cells in the presences of glycerin as the probe liquid. It was observed that the presence of the virus in the human blood cells depleted the immune system of infected cells giving rise to a decreased CD4 count on the average of 514.5 ± 243.10 when compared with the uninfected cells CD4 count of 1267.2 ± 368.27. The measurement of contact angle also unveils that among the blood components separated in the course of the experiment, the white blood cell is the principal target of the virus with the highest average contact angle of 63.4 ± 3.20 while the uninfected white blood cells have a lower contact angle of 48.5 ± 2.75. The result of the measured con tact angle was used for MATLAB computation to determine the surface energy, force of adhesion and the Hamaker coefficient. Response surface methodology was also employed in this study to visualize the viral impact on the blood cells as well as generating model equa tions for prediction of the interaction between the virus and the blood cells. Infected sur faces on the average have higher values of Hamaker coefficient than uninfected surfaces. It was discovered that an increase in the contact angles causes a significant increase in Ha maker coefficient with a corresponding decrease in the CD4 counts on the infected surfaces. This increase is attributed to the presence of the HCV virus in the infected samples and the highest value was observed in the white blood cell component. Computation of the com bined negative Hamaker coefficient revealed that there exists a possibility of separating the virus from the human lymphocyte, hence a negative value of the A132 of the infected sample was seen to be ?0.150 × 10?18 mJ/m2 (?0.150 × 10?25 J). This is in agreement with the value reported in literature when an alternative method to contact angle was used (ultraviolent spectrophotometer approach) to investigate HIV infected human cells. The combined nega tive Hamaker coefficient of ?0.281 × 10?25 J was obtained in that study. Both results have unveiled the possibility of applying the concept of combined negative Hamaker coefficient as a means of separating the virus from the lymphocytes. It therefore implies that additives in the form of drug(s) to the serum (as an intervening medium) which could alter the sur face energy of the serum to a value of ??0.150 × 10?25 J can have the capability of totally isolating the virus from the lymphocytes
Publication Title Design of Hydraulic Cylinder for the Operation of Sixty Tonnes Hydraulic Press
Publication Type journal
Publisher International Journal of Research in Engineering Technology-– Volume 3 Issue 1
Publication Authors 1 Emereje Peter.O., 2 Iweriolor Sunday, 3Ashimedua Godwin O.
Year Published 2017-05-25
Abstract Hydraulic cylinder is a major and central working component in the design and development for the
proper functioning of the sixty tones hydraulic press. The cylinder uses high pressure that produces large
forces at precise movement i.e ram movement. It does a non-compressible work (being oil driven) and
provides the calculated force that convert fluid power into mechanical motion.
This machine get it power from pressurizes hydraulic fluid, which is oil. The pressure vessel (cylinder or
tank) was used to store fluid under pressure over a finite period of time. Therefore, the pressure vessel was
designed with great care because the rupture of the vessel may occur if the system pressures exceed certain
limits. The material used for the pressure vessel of this work was the thick shell since the ratio of shell
diameter (d/t) is less than 10 (factor for construction of wall thickness).
The design was done primarily by what the system will accomplish in terms of actions against resistance
loads within specified time limit; hence the motion in it is by the transportation of the desired performance
of the system into system hydraulic pressures. The volume of the cylinder was not left out, for this match
with the system output characteristics of an available input to the system in order to sustain the operation.
The parts components design of this work includes; the design of Flat End Cover, design of Bolts, design
of Cylinder Flange, Piston design, design of Static and Dynamic Seals, and design of Pump.
Publication Title Cow Urine Effectiveness in Control of Microbially Induced Corrosion of Oil transmission Pipelines
Publication Type journal
Publisher Medwells
Publication Authors Iweriolor, S. and Okonkwo
Year Published 2014-06-18
Abstract This study investigated the effectiveness of the use of cow urine in the control of microbially induced corrosion in oil transmission pipelines. Hydrogenase test was carried out and used to detect the presence of micro-organisms that cause corrosion in the pipeline samples. The cow urine biocide was subjected to urinalysis test after which it was characterized. The biocides were then subjected to experimentation to ascertain how effective they can be in reducing microbial corrosion using coupons filled with bacterial cultured agar. Weight loss and the corrosion rate of the samples were determined at weekly intervals throughout the duration of the experiment. The results show that cow urine coupon witnessed the least weight loss amounting to 0.9 g throughout the duration of the experiment. The other biocides formaldehyde, polyamine, diamine and biguanide have weight loss of 6.6, 5.8, 6.81 and 1.2 g, respectively. The 5 polynomial equations were formulated for weight loss for each of the biocides. R2 goodness-of-fit statistical technique was employed in the analysis for future predictions from the model and the R2 values obtained in each case is close to 1 which indicates a good measure that future outcomes are very likely to be predicted well by the obtained polynomial equations. Results also show that cow urine has an average corrosion rate of 0.0686 mm year-1, as against the formaldehyde, polyamine, diamine and biguanide which have on the average 1.687, 1.7817, 1.8004 and 0.2225 mm year-1 corrosion rates, respectively. Hence, it can be concluded that cow urine is the most potent biocide followed by biguanide out of the rest treated in this study for microbial corrosion.
Publication Title Potency and Implications of Bacteria growth,H2S and FeS Production in Microbially Induced Corrosion of Oil Pipelines Using Selected Biocides
Publication Type journal
Publisher IISDE publishers
Publication Authors Iweriolor, S. and Okonkwo
Year Published 2014-02-20
Abstract In this study, the potency and implications of bacteria growth, H2S and FeS production in microbially induced
corrosion of oil pipelines were done using 5 biocides. Hydrogenase test was carried out and used to detect the
presence of micro-organism that causes corrosion in the pipeline samples. The biocides were then compared to
ascertain how efficiently they can curb the proliferation of bacteria in experimental set-up filled with a bacterial
cultured agar using anaerobic medium. Generally, it was found that there use led to reduction in bacteria growth,
less and less of iron sulfide and hydrogen sulfide as the concentration and duration of experimentation increases.
Specifically, it was found that while cow urine and biaguanide terminate their iron sulfide production after 5th
and 6th week, respectively, others continue throughout the 13 week experimentation period. Similarly, cow urine
and biaguanide terminate their hydrogen sulfide production after 3rd and 5th, respectively, others continued
throughout. Altogether, 10 exponential trendline equations were formulated for iron sulfide and hydrogen sulfide
production. R2
goodness-of-fit statistical technique was employed in the analysis for future predictions from the
model and the values obtained in each case is close to 1 which indicates a good measure that future outcomes are
very likely to be predicted well by the developed equations
Publication Title The Role of Sulphate Reducing Bacteria in the Deterrioration of Oil Facilities; An Engineering Insight
Publication Type journal
Publisher Science publishing group
Publication Authors Iweriolor Sunday, Emereje Peter
Year Published 2015-06-11
Abstract The paper describes an advanced approach in the analysis and control of corrosion resulting from the activities of sulphate reducing bacteria as well as the reacting species in the development of the biofilm. An anaerobic Cultured medium was prepared and the pH read on a scale was 7.4 and medium after incubation was dispensed into five anaerobic experimental pipe and the respective biocides (formaldehyde, polyamine, diamine, biguanide and cow urine) at different concentration ranging from 5 mg/l to 580 mg/l . Statistical procedures were also used to determine the correlation coefficient, coefficient of determination and polynomial equation generated on the basis of related information. The activities of the sulphate reducing bacteria results in the loss of weight of the coupons inserted and was found to be less in the experimental pipe with cow urine treatment.
Keywords
Publication Title 3D Log-Mean Divisia Index Approach to the Prediction Modelling of Sectoral Energy Savings and Consumption Trends in Nigeria
Publication Type journal
Publisher Uniport Journal of Engineering and Scientific Research (UJESR)
Publication Authors Iweriolor, S1 and Ashimedua, O.G2
Year Published 2024-04-04
Abstract Sufficient modelling and prediction of energy consumption constitute vital roles in developed and
developing countries for policy makers and related organizations. Underestimating energy consumption
patterns can lead to severe outages, while overestimating it can result in unnecessary idle capacity and
wasted financial resources. This research presents a forecast on sectoral energy savings and consumption
in Nigeria using a novel combination of the 3-D decomposition and logarithmic mean divisia index
methods (LMDI). Energy savings and projections were made using the 3-D decomposition method while
energy efficiency evaluations were presented using the LMDI method. With energy consumption, gross
domestic product, and energy intensity data, energy consumption and GDP were projected up to 2050 in
the industrial, transportation and agricultural sectors. Corresponding energy efficiency trend and rebound
effects were considered using the LMDI approach. Energy forecast results show that the aggregate energy
demand in Nigeria by the end of 2050 will increase from 75323176 to 99974700 toe compared to the 2015
level. Consequently, energy materialisation is expected to increase from 47281.15 to 658772.33 toe
between 2025 and 2050. Sectoral energy savings present the country as having an energy overconsumption of 129821445.35, 16285998.43, and 6342692.71 toe for the industrial, transport and
agricultural sectors, respectively, during 1990 to 2011. The industrial sector is the major driver in the
country requiring emphasis in the energy conservation plan. Furthermore, for proper policy
recommendation and implementation, it is strongly suggested that a detailed study of the sub-sectors be
considered using any appropriate index decomposition analysis method.
Publication Title Evaluation and Prediction of Production Yields in Plastic Manufacturing Industry Using Artificial Neural Network
Publication Type journal
Publisher Journal of Engineering Research and Reports Volume 25, Issue 11, Page 106-122, 2023; Article no.JERR.109393 ISSN: 2582-2926
Publication Authors Akaolisa Chukwuebuka C. a , Iweriolor Sunday b , Uzochukwukanma M. C. a , Ezeliora C. D. a* and Umeh Maryrose N
Year Published 2023-11-27
Abstract The study focused on the evaluation and prediction of a production yield in Finoplastika plastic
manufacturing industry. The study investigates the need of prediction and continuous improvement
of production plastic yield in manufacturing industries. The literature reveals the related research
works in manufacturing industries and found a gap in application of predictive tools to appraise the
plastic production yield in the case company. The use of artificial neural network serves as the
method of data analysis applied to achieve the aim of this study. The application of artificial neural
network for the predicted solutions of the response variables of 110mm waste plastic pipe, 20mm
Original Research Article
Chukwuebuka et al.; J. Eng. Res. Rep., vol. 25, no. 11, pp. 106-122, 2023; Article no.JERR.109393
107
pressure plastic pipe, 50mm waste plastic pipe and 32mm pressure plastic pipe are 31149, 45171,
13412, and 12891 respectively. The results for predicted solutions are recommended to the case
company and other plastic companies for their wider use and applicability in other to achieve their
optimal results and to support decision making during, inventory system, production process,
production planning and control.
Publication Title STATISTICAL EVALUATION OF PYRIDOXINE IN RED GUINEA CORNMILLET COMPOSITE
Publication Type journal
Publisher INTERNATIONAL JOURNAL OF SCIENCE RESEARCH AND TECHNOLOGY
Publication Authors ODEWORITSE EYIDE1 ; EJIROGHENE THELMA AKHIHIERO2 ; SUNDAY IWERIOLOR3 ; BLESSING JOSEPHINE OSSAI4 ; ONORIODE ERHINYODAVWE5 ; AYODEJI ARNOLD OLASEINDE6 ; OHIRI AUGUSTINE CHIMEZIE7
Year Published 2024-05-05
Abstract This research work
focused on the
statistical
optimization of
pyridoxine in red
guinea corn and
millet composite. The
concentration of
pyridoxine (vitamin
B6) was investigated
under the following
conditions: blending
time (1.5-5hours),
amount of red guinea
corn (10-50g) and
amount of agro
residue (50-100 g)
using Box-Behnken
design. Statistically
significant model (<
0.0001) was
developed to
represent the
relationship between
the response
(concentration of
pyridoxine) and the
independent
variables. The model
showed a significant
INTERNATIONAL JOURNAL OF SCIENCE
RESEARCH AND TECHNOLOGY
VOL. 4 NO. 2 E-ISSN 3026-8796 P-ISSN 3026-8095
TIMBOU-AFRICA
PUBLICATION
INTERNATIONAL
JOURNAL MAY, 2024
EDITIONS.
MAY, 2024 EDITIONS. INTERNATIONAL JOURNAL OF:
TIJSRAT
SCIENCE RESEARCH AND TECHNOLOGY VOL. 4
52
E-ISSN 3026-8796
P-ISSN 3026-8095
Composite food products, formulated by blending different ingredients, have gained popularity as
a suitable and nutritious substitutes to traditional foods (Akhihiero et al., 2022 , Nwokem et al.
2019, Ikokoh et al., 2019). The combination of red guinea corn and millet as a composite offers a
promising avenue for enhancing dietary diversity and nutritional quality, particularly in regions
where these grains are staple foods.
One key area of interest in food engineering is the design and formulation of right nutrition in other
to have the right diet quality which serve as a great significant in addressing the issues of hunger,
food insecurity and malnutrition. Statistically, in 2019, two billion people, or 25.9 percent of the
global population, experienced hunger or did not have regular access to nutritious and sufficient
food. This is linked to the issue of harnessing the right diet quality in other to address the
challenges of food insecurity which have negatively contributed progressively to the risk of child
malnutrition (FAO,IFAD,UNICEF, WFP and WHO. 2020). According to WHO, malnutrition as well as
non-communicable diseases (NCDs) such as diabetes, heart disease, stroke and cancer can be
prevented when the right diet quality is consumed (Poore et al., 2018).
Diet quality is the overall nutritional value and composition of an individual's diet, based on the
types and quantities of foods consumed. It contains balanced, diverse, and variety of nutrients
obtained from food in line with individual's nutritional needs and health goals (Springmann et al.,
2018). Diet quality (healthy diet) ensures that a person’s needs for macronutrients (proteins, fats
and carbohydrates including dietary fibers) and essential micronutrients (vitamins and minerals)
are met, based on their gender, age, physical activity level and physiological state (Springmann et
al., 2018).
Vitamins are either fat-soluble or water-soluble, and a lack of either can result in vitamin
deficiencies, leading to health issues (Ottaway, 2008). These vitamins are frequently reduced or
washed out of the body due to malnutrition and processes of preparation (Keservani et al., 2014).
Because the human body cannot store water-soluble vitamins such as vitamin C and the B-complex,
these vitamins must be supplemented daily from different variety of foods via multiple methods
fit with experimental data with R2 values of 0.99. Analysis of variance (ANOVA) results showed
that the concentration of pyridoxine was influenced by the blending time, amount of red
guinea corn and amount of millet used. Response surface methodology (RSM) was used to
optimize the concentration of pyridoxine and the optimization results showed that the
maximum concentration of 61.36 µg/100g for pyridoxine was obtained at the optimum
production conditions of blending time of 5hours, 47.45g of red guinea corn and 100g of millet.
Also the recommended amounts of red guinea corn and millet composite for all groups as
shown in table 11 were formulated in conformity with World Health Organization (WHO)/Food
and Agricultural Organization (FAO) specification for recommended safe intake for all age
groups, pregnant and nursing mothers with deficiencies in pyridoxine.
Publication Title Numerical analysis on mechanical ventilation impact on indoor air quality in a basement
Publication Type journal
Publisher Scientific African
Paper Link https://doi.org/10.1016/j.sciaf.2024.e02310
Publication Authors Benjamin E. Anyaegbuna a,* , Anthony O. Onokwai a,b,* , Ndubueze T. Anyaegbuna c
Year Published 2024-07-10
Abstract Indoor air quality (IAQ) in confined spaces like bank vaults and basements is influenced by
complex factors such as building layout and HVAC systems. This study examines how mechanical
ventilation impacts IAQ in a bank building’s occupied basement vault, addressing significant
challenges posed by pollutant exposure in these air-tight environments. This study advances safe
IAQ in confined spaces, crucial for occupant health and safety, using CFD (ANSYS Fluent
Workbench 16.0) and CONTAM 3.2 software for multi-zone ventilation and air quality analysis. It
analysed three indoor pollutants: Radon (Rn), Carbon dioxide (CO2), and Particulate Matter
(PM2.5), enhancing the reliability and applicability of the findings. The findings indicated that
the simulated indoor pollutants concentrations did not exceed the indoor air quality guideline
levels. The CFD simulations predicted average steady-state values of 27.2 Bq/m3 for Radon,
574.80 ppm for CO2, and 69.36 µg/m3 for PM2.5 in the basement. For different outdoor air floor
rates, an optimal ventilation rate of 4.7 ACH and a cooling load of 17 kW were determined to
maintain Radon concentrations below 15 Bq/m3
. This provides a practical and actionable solution
for maintaining safe IAQ in confined spaces, which is a significant step forward compared to
similar studies. These results align with other experimental research, validating the use of numerical techniques in indoor air quality studies. By optimizing HVAC systems to maintain IAQ
and minimize energy consumption, the study supports SDG 7 (Affordable and Clean Energy) by
enhancing energy efficiency, SDG 3 (Good Health and Well-being) by reducing exposure to indoor
pollutants, and SDG 11 (Sustainable Cities and Communities) by improving air quality management in confined spaces. The findings are particularly relevant for Africa, offering practical solutions, informing policy direction, and supporting the African Union’s Agenda 2063 and SDGs 3,
7, and 11.
Publication Title ELECTROCHEMICAL CORROSION INHIBITION OF COBALT-GRAPHENE NANO-COMPOSITE ON MILD STEEL IN ACIDIC CORROSION ENVIRONMENT
Publication Type journal
Publisher Nigerian Journal of Technology (NIJOTECH) Vol. 43, No. 2, June, 2024, pp.261 - 271
Paper Link https://doi.org/10.4314/njt.v43i2.9
Publication Authors O. E. Ashibudike1 , S. Iweriolor2,* , and B. U. Oreko
Year Published 2024-06-02
Abstract There is a continuous need for effective corrosion control materials and the
recent advances in nanotechnology show that nanomaterials can play significant
roles in corrosion control. Graphene nanoparticles are a well-known
nanomaterial and have been employed in various functions including corrosion
control. The electrochemical investigation was conducted to ascertain the
inhibition efficiency of cobalt graphene nanocomposite. Coupon preparation
involved marking out different 30 x 30 mm2 mild steel coupons that were
subjected to corrosion in an acidic environment. Three different compositions of
the composite used for the study includes 0.70 weight (wt)% cobalt /0.30 weight
(wt)%, graphene , 0.55 weight (wt)% cobalt /0.45 weight (wt)%, graphene , 0.85
weight (wt)% cobalt /0.15 weight (wt)%, grapheme respectively. The corrosion
tests were open circuit potential and linear sweep Voltammetry.
Characterization was done using Scanning Electron Microscope (SEM), The
chemical characteristics of the inhibitor were achieved using Energy dispersive
X-ray,SpectroscopyEDX, Parameters used for the corrosion analysis are
corrosion rate, polarization resistance, and electric potentials analysis. It was
observed that the composite with 0.85 weight% cobalt and 0.15 weigth%
graphene exhibited the best anti-corrosion property with the best inhibitor
efficiency at a concentration of 0.4grams. The addition of graphene
nanoparticles improved the mechanical properties of the composite's
microstructure." The synthesized nanocomposite can be applied for corrosion
control either as an inhibitor or as a coating. The nanocomposite, cobaltgraphene was therefore proven to be a good anti-corrosion material at a low
concentration of graphene. This is an improvement in corrosion resistance and
it is believed to serve as a good coating due to its adsorption properties.
Publication Title Exergy Audit of Thermodynamic Parameters and Performance Analysis of Ogorode Thermal Power Plant in Delta State, Nigeria.
Publication Type journal
Publisher Journal Of Engineering Research Innovation And Scientific Development
Paper Link https://doi.org/10.61448/jerisd12232
Publication Authors Sunday Iweriolor , Anwule Liberty , Blessing Josephine Ossai
Year Published 2023-10-10
Abstract The exergy analysis of the Ogorode steam plant is presented. The aim was to determine and identify the
magnitudes and locations of real exergy losses in order to improve plant efficiency. The exergy losses
occurred in the various components of the steam plant, such as the boiler, economizer, turbine, super heater,
condenser, pump, feed water heater, reheater, and air pre-heater, and these have been calculated using the
concepts of availability or available exergy and irreversibility. The temperature and pressure of the plant's
running conditions were combined to determine the process irreversibility (exergy losses) and the exergy
efficiency of the plant. The exergy losses of the individual components of the plant show that the maximum
exergy losses are in steam turbine operation one (STO ) and steam turbine operation two (STO ). STO and 1 2 1
STO are 813 kJ/kg, 820 kJ/kg, 822 kJ/kg, and 815 kJ/kg that occurred in the turbine between 2019 and 2021, 2
while the minimum exergy losses in STO and STO are 68 kJ/kg, 150 kJ/kg, 280 kJ/kg, and 276 kJ/kg that 1 2
occurred in the boiler system between 2019 and 2021. There was a high energy efficiency of 82% and 80% in
the superheater between 2019 and 2021, while 89% in the feed water heater and 73% in the superheater had
the same duration. The efficiency of 15% and 21% were the minimum in the pump system between 2019 and
2021, while the turbine had a minimum of 20% and 27% from 2019 to 2021. The highest losses of exergy
occurred in the turbine as a result of the irreversibility inherent in the turbine process, corroded turbine
blades as a result of wet steam, and low energy delivered to the superheater tubes. It was concluded that the
turbine inlet temperature should be increased, more energy delivered to the superheater should be increased,
boiler pressure should be increased, and weak feed water heaters should be replaced for better performance
of the thermal plant.
Publication Title Thermodynamic Parameters: An Alternative Determinant for Viral Infection Diagnosis
Publication Type journal
Publisher FUOYE Journal of Engineering and Technology, Volume 8, Issue 2, June 2023
Paper Link http://doi.org/10.46792/fuoyejet.v8i2.1011
Publication Authors * 1Sunday Iweriolor, 2 Isaac O. Festus, and 3. Sandra N. Iweriolor
Year Published 2023-06-06
Abstract Viral particles and its mechanism of interaction in contact with human blood cells were studied. Thermo-energetic concept was
employed to analyze the evidences such as viral loads,increase in CD4 countcaused bythe administered drugs interfering in the binding
process between the virus and blood cells as adopted in the medical field to establish patient’s response to drug treatment. Thermodynamic
parameters determining the surface properties of the interacting particles were calculated using the Neumann thermodynamic models. The
infected blood samples were inoculated with four conventional antiretroviral drugs after centrifuge and serial dilutions in the laboratory.
Glycerin was used as the probe liquid and was dropped at the surface of the prepared slides. It was observed that the contacted angles of
infected cells (63.4o
) were lowered upon the administration of the antiretroviral drugs. Ritonavir reduced the contact angle to 56.6 ±5.25
o
,Lamiduvine lowered it to 56.5±3.3o
,Didanosine gave a contact angle of 56.8±3.03owhile Azidothymidine were able to lower the contact angle
of infected blood samples to 56.3±4.32o
.The surface energy was decreased owing to viral activities in the blood cells from 44.35±1.90 mJ/m2
for the uninfected blood sample to33.54±2.31 mJ/m2 when the sample got infected. The administered drugs were able to increase the surface
energies of the treated cells from 38mJ/m2 to 40 mJ/m2as against the surface energy of infected which was between 31 mJ/m2
to 39
mJ/m2
.Energy of adhesion was increased by the viral-blood interactionsfrom -12.99±1.75 mJ/m2
for the uninfected blood sample to -
23.22±2.22 mJ/m2
for the infected sample. The treatments given recorded the energy of adhesion to a range from -18.34 mJ/m2
to -18.75
mJ/m2which still falls a little lower than that of the infected without treatment(-23.222mJ/m2
). The inability of the drugs administered to revert
the negative signs of adhesion energy in the treated samples signifies bonding between the virus and the blood cells. Design expert software
was employed to generate mathematical model that accurately predict the variables in the interacting medium for the infected blood sample.
Publication Title OPTIMIZATION OF VITAMIN A IN RED GUINEA CORN-MILLET MIX
Publication Type journal
Publisher ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY & ENVIRONMENT
Paper Link http://www.azojete.com.ng/
Publication Authors O. Eyide*1 , S. Iweriolor2 , B. J. Ossai3 , E. T. Akhihiero4 , and A. A. Olaseinde5
Year Published 2023-10-11
Abstract This study focused on the optimization of vitamin A in guinea corn and millet
mix. The concentration of vitamin A was investigated under the following
conditions: blending time (1.5 - 5 hours), amount of red guinea corn (10 -
50g) and amount of agro residue (50-100 g) using Box-Behnken design.
Statistically significant model (p<0.05) was developed to represent the
relationship between the response (concentration of vitamin A) and the
independent variables. The model showed a significant fit with experimental
data with R2 values of 0.94. Analysis of variance (ANOVA) results showed
that the concentration of vitamin A was influenced by the blending time,
amount of red guinea corn and amount of millet used. Additionally, response
surface methodology (RSM) was used to optimize the concentration of
vitamin A. The results showed that maximum concentration of 98.76 µg/100g
for vitamin A was obtained at the optimum production conditions of blending
time of 5hours, 49.79g of red guinea corn and 100g of millet. The blend
produced at the optimized conditions satisfied the World Health
Organization (WHO), Food and Agricultural Organization (FAO)
specification for recommended safe intake for all age groups, pregnant and
nursing mothers
Publication Title STATISTICAL DETERMINATION OF THE EFFECTS OF POURING TEMPERATURE ON MECHANICAL PROPERTIES OF ALUMINUM ALLOY CAST
Publication Type journal
Publisher Nigerian Journal of Engineering Science and Technology Research, Vol. 10, No. 1, 2024(123-130)
Publication Authors Iweriolor, S.1*, Ugwuegbu, D.C.2 , Christie, O.K.3 , Ifechukwu, E.T.4 and Derick, N.C.5
Year Published 2024-01-01
Abstract The determination of effects of pouring temperature on mechanical properties of aluminum alloy using
statistical method was successfully investigated. The automotive industry faces failures and accidents due
to inadequate mechanical properties of cast parts, particularly at higher temperatures. These inadequacies
in mechanical properties are not unconnected with their pouring temperature during casting. This study
aims to determine the optimal pouring temperature for aluminum alloy casting to achieve optimal
mechanical properties. A total of thirty-two (32) casts, were produced via sand mould at four (4) different
pouring temperatures namely 660°C, 690°C, 710°C and 740°C which were achieved with the aid of a
thermocouple. The specimens were afterwards tested for quality of properties such as density,
hardness, water retention capacity and tensile strength, and how these mechanical properties failed under
different pouring temperatures. Samples were taken to an Atomic Absorption Spectrometer to test for
their chemical composition. Data obtained were analyzed using ANOVA technique. Results showed
percentage composition of Al (83%), Si (11%), Cu (3%) and others (3%). It was revealed that variation in
the pouring temperature significantly affected the quality of density, tensile strength and hardness, whereas,
it had no significant effect on the water retention capacity of the aluminum casts. The optimal pouring
temperature is 690°C, with the optimal range being 690°C and 700°C, for producing high-quality casts.