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Exploring The Impact Of Temperature Variation On Coconut Seed Oil Yield Nnadikwe Johnson; Mbadike Columbus Asodike; Iheme Chigozie; Chinemerem Joy johnson
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Coconut oil is a valuable commodity with diverse applications in food, cosmetics, and pharmaceuticals. The extraction process plays a crucial role in determining the quality and yield of coconut oil. Temperature is a critical parameter that affects the efficiency of the extraction process.This study aimed to investigate the effect of temperature on coconut oil extraction using a solvent extraction method, optimizing the extraction process, and providing insights into the relationship between temperature and oil yield. A laboratory-scale solvent extraction method was employed, where coconut oil was extracted from shredded coconut at different temperatures (30°C, 40°C, 50°C, 60°C, and 70°C) using petroleum ether as the solvent. The yield of oil extracted was measured and calculated as a percentage of the initial weight of coconut used.The results showed a significant increase in oil yield with increasing temperature, with the highest yield obtained at 70°C. The yield increased from 26.29% at 30°C to 32.70% at 70°C, indicating a 24.5% increase. The study demonstrates the importance of temperature optimization in coconut oil extraction, providing valuable insights for the industry.This research contributes to the existing body of knowledge on coconut oil extraction, highlighting the potential for process optimization and improved productivity. The findings have important implications for coconut oil manufacturers, providing a basis for the development of more efficient and effective extraction processes.

Exploring the Potential of (Chrysophyllum-Albidum) Udara Seed Extract as a Natural Corrosion Inhibitor For Mild Steel Nnadikwe Johnson; Iheme Chigozie; Chinemerem Joy Johnson; Ibe Raymond Obinna; Mbadike Columbus Asodike
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Mild steels composed by two main elements, they are iron (Fe) and carbon (C) elements which is widely used in industry because of its resistance and more affordable in terms of cost than stainless steel, but their weakness is that they have low corrosion resistance. One way to modify mild steel is by coating them with antioxidant compounds that can delay, slow down, and prevent lipid oxidation process, which is obtained from(Chrysophyllum-Albidum) Udara seed extract. This research work is aimed at producing organic corrosion inhibitor from(Chrysophyllum-Albidum) Udara seed extract. Also, to utilize this organic corrosion inhibitor as a substitute for chemical corrosion inhibitors which contain toxic compounds, and determining the corrosion inhibition efficiency of the Udara seed extract in Hydrochloric acid medium. This was carried out by weighing the mild steel pieces. Udara seed extract was also weighed and added into each of the transparent glass bottles that was used in the experiment. However, 10.0g Udara seed powder was added into bottle 1 containing 0.5m of the dilute tetraoxosulphate (vi) acid. 20.0g to bottle 2, containing the same concentration of the acid. 30.0g to bottle 3, 40.0g to bottle 4, containing 0.5m of the dilute tetraoxosulphate (vi) acid. And 50.0g to bottle 5 containing the same acid, and Finally, bottle 6 was containing the mild steel metal and the dilute tetraoxosulphate (vi) acid. It was observed that the Udara seed extract effectively inhibited mild steel corrosion in H2SO4 solution. Inhibition efficiency was observed to improve with increase in concentration of the extract. It was generally observed that inhibition efficiency was low at the first hour and with the blank and the first concentration and gradually increases by the preceding hours and concentrations. Weight loss increased with increase in time portraying retardation in the inhibitor efficiency with increase in time.

Exploring The Efficacy Of Black Soaps Derived From Palm Oil And Palm Kernel Oil With Caustic Potash (KOH) Extracted From Plantain Peel Nnadikwe Johnson; Iheme Chigozie; Mbadike Columbus Asodike; Chinemerem Joy Johnson; Ibe Raymond Obinna
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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This study explores the potential of utilizing agricultural by-products, specifically plantain peels, as a source of caustic potash for producing high-quality black soaps from palm oil and palm kernel oil. The objectives were to evaluate the physicochemical properties and efficacy of these soaps in addressing various skin conditions. Plantain peels were sun-dried, burned, and processed to extract potassium hydroxide, which was then used in soap production. The results show that both soaps exhibited beneficial properties, with the palm kernel oil soap displaying a softer texture. The study highlights the potential of these black soaps in providing effective skincare solutions for common dermatological concerns, while also promoting sustainable utilization of agricultural by-products.

Unlocking the Functional Mechanics of Gas Turbine Plants: Enhancing Reliability, Efficiency, and Environmental Sustainability Onyewudiala Ibeawuchi Julius; Samuel Hanotu Kwelle.; Nnadikwe Johnson
Jurnal Teknik Indonesia Vol. 4 No. 02 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Abstract. Gas turbine plants play a vital role in modern society's energy generation, with a focus on reliability, efficiency, and sustainable development. This research aims to investigate and enhance the operational principles of gas turbine plants to achieve these objectives. The study begins by examining the current operational practices and challenges faced by gas turbine plants, highlighting the need for continuous improvement. Factors influencing the reliability of gas turbine plants are analyzed, and strategies for enhancing reliability are proposed to ensure uninterrupted power supply. Efficiency is a key focus of the research, with an evaluation of the performance of gas turbine plants using equations such as η = 1 - (1/r^(γ-1)/γ) to identify areas for optimization. By maximizing efficiency, cost savings can be achieved, and environmental impact reduced, contributing to sustainable development. Environmental sustainability is another crucial aspect of the study, with an assessment of the environmental impact of gas turbine plants and exploration of measures to minimize emissions, resource consumption, and promote eco-friendly practices. Innovative technologies and best practices for improving the operational efficiency of gas turbine plants are investigated, including the use of regenerators with effectiveness ε = (T_hot,in - T_hot,out) / (T_hot,in - T_cold,in) and heat transfer equations Q = m × (h2 - h1). The research culminates in a set of recommendations and guidelines for enhancing the overall performance and sustainability of gas turbine plants, aligning with industry standards and environmental regulations. By achieving the objectives outlined in this research, we aim to contribute to the advancement of gas turbine plant operations, fostering reliable, efficient, and environmentally sustainable energy generation practices for a better future

Pioneering the future of industrial Development:Harnessing Membrane separation Breakthroughs to propel CO2 extractiom from Natural gas into a Sustainable Era Nnadikwe Johnson; Momoh Abdulazeez Adeyemi; Onuabuchi Azunna
Jurnal Teknik Indonesia Vol. 4 No. 02 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Natural Gas (NG) processing is a prominent industrial separation process. Among the available techniques, the innovative membrane process shows potential for efficient removal of impurities, including carbon dioxide (CO2). This study focuses on utilizing breakthroughs in membrane separation to drive sustainable CO2 extraction from natural gas. Through comprehensive research and analysis, we explore the effectiveness and feasibility of membrane-based systems in removing CO2 impurities from NG, thus promoting greener and more sustainable industrial practices. Our findings underscore the transformative nature of membrane separation technology, presenting new possibilities for a more environmentally-friendly and sustainable approach to CO2 extraction from natural gas. Natural Gas (NG) processing utilizes various techniques for impurity removal, with the membrane process emerging as a promising option for efficient carbon dioxide (CO2) extraction. This research proposes the integration of a simple mathematical model into ASPEN HYSYS to design a membrane system for CO2/CH4 separation. The study also investigates parameter sensitivities by altering operating conditions, such as feed composition and pressure, as well as membrane properties, including selectivity. By analyzing these variables, we aim to optimize the performance and efficiency of the membrane system, facilitating the sustainable extraction of CO2 from NG. The findings contribute to advancing the design and operation of membrane-based processes for CO2 separation, paving the way for greener and more sustainable industrial practices. In addition, this study explores various configurations for optimizing the design of the membrane system, including single stage with and without recycle, as well as double stage configurations. The investigation demonstrates that methane recovery can be enhanced through the recycling of the permeate stream and by implementing a double stage membrane system. These findings highlight the potential for improving the efficiency and performance of the membrane system, enabling higher methane recovery rates. By considering different configurations, this research contributes to the development of more effective and sustainable CO2 extraction processes from natural gas.

Research and Modernization of Inspection and Monitoring Practices for Pipeline, Casing, and Tubing Nnadikwe Johnson; Samuel Hanotu Kwelle
Jurnal Teknik Indonesia Vol. 4 No. 02 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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This research investigates the modernization of inspection and monitoring practices for pipeline, casing, and tubing. The study focuses on the development and implementation of advanced inspection techniques to detect defects and imperfections such as cracks, dents, and diameter reduction, which can have devastating consequences for human safety, the environment, and the soil. The research aims to establish a comprehensive framework for the modernization of inspection and monitoring practices, encompassing the latest technologies and data analytics to ensure the integrity and reliability of pipeline, casing, and tubing infrastructure. The outcome of this research will provide a benchmark for the minimum inspection requirements, setting a new standard for the industry to ensure safe and sustainable operations.

Revolutionizing Lng Plant Construction: A Comprehensive Comparative Analysis and Evaluation of Modular Design Development Versus Stick-Built Approach for Enhanced Efficiency and Cost-Effectiveness Nnadikwe Johnson; Samuel Hanotu Kwelle
Jurnal Teknik Indonesia Vol. 4 No. 02 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Revolutionizing Lng Plant Construction and its Comprehensive Comparative Analysis And Evaluation Of Modular Design Development Versus Stick-Built Approach For Enhanced Efficiency And Cost-Effectiveness,.Although the utilization of modularization concepts in the LNG industry remains limited, this study focuses on exploring their potential. It is worth noting that modular units typically incur higher costs compared to field erected units due to the additional requirements of structural steel and robustness for transportation purposes.Nevertheless, the increased cost of modularization can often be balanced by conducting the work at the fabrication site instead of on-field construction. This approach reduces the overall project cost by minimizing field construction expenses and shortening the construction schedule. The objective of this paper is to assess and compare LNG modularization options for a newly established LNG facility in comparison to a conventional stick-built plant used as the base case.:The paper delves into various topics related to LNG plant construction, such as the development of modular units, a comprehensive comparison of different options, evaluation of construction schedules and manpower requirements, logistics considerations, and a recommended approach for design and construction. The cost estimates and engineering, procurement, and construction (EPC) schedules are meticulously compared for each option. Additionally, an inshore/near shore gravity base structure (GBS) option is included for further comparison. It is crucial to emphasize that establishing general costs is not possible as each project is distinct andrequires individual study and analysis.:Each project has unique characteristics, resulting in varying shapes of cost curves and break-even points. The outcomes of the feasibility evaluation play a crucial role in determining the extent to which the modular approach to construction is advantageous for the specific project at hand. The evaluation takes into consideration multiple factors to determine the potential benefits of adopting a modular construction approach, allowing decision-makers to make informed choices regarding the project's construction methodology

Advancements in CFD Simulation and Dynamic Modeling for Enhanced Performance of Multi-Compartment Rotor Compressed Combustion Engines Nnadikwe Johnson; Samuel Hanotu Kwelle
Jurnal Teknik Indonesia Vol. 4 No. 02 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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This research explores the potential of dynamic mathematical model simulation for multi-compartment rotor compressed combustion engines to revolutionize power generation by enhancing fuel burning efficiency. By leveraging advanced computational fluid dynamics (CFD) techniques, this study investigates the impact of modifying the engine design to induce turbulence through squish and tumble flows on fuel-air mixing and combustion efficiency. The proposed design features multiple compartments on the rotor crown, comprising three small chambers spaced 120º apart. CFD simulations using FLUENT software demonstrate significant improvements in tumble ratio (35% increase) and squish velocity (31% increase) compared to the base engine. These findings suggest that the modified engine design can enhance fuel-air mixing and combustion performance, leading to improved overall engine efficiency. This research contributes to the development of more efficient and environmentally-friendly power generation technologies, paving the way for groundbreaking advancements in combustion engine design.

Harnessing the Power of Pressurized Separation: Revolutionizing Crude Oil Processing and Storage for Optimal Performance Nnadikwe Johnson; Samuel Hanotu Kwelle; Nwosi Hezekiah Andrew
Journal Of Data Science Vol. 3 No. 02 (2025): Journal Of Data Science, September 2025
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v3i2.7356

The main goal of this research was to simulate a high-pressure (HP) separator to assess how changes in operational factors affect the properties of the products generated. The objective was to improve the efficiency of crude oil processing and storage by analyzing these impacts. The study involved comparing simulation outcomes from two software platforms, namely CHEMCAD and UniSim, to evaluate their effectiveness in modeling and optimizing the separation process.The research outcomes indicated a high level of agreement between the simulated results and actual industrial data, validating their accuracy and reliability. Furthermore, a comprehensive sensitivity analysis was carried out to fine-tune the process parameters, focusing on adjusting key gas stream properties such as temperature, pressure, and flow rate to optimize the separation process effectively. This analysis provided valuable insights into the system dynamics and highlighted areas for potential process enhancement. Notably, the study revealed that increasing the separator inlet pressure from 30 to 80 bar resulted in significant improvements inThe adjustment in separator inlet pressure resulted in a notable reduction in the outlet gas flow rate from 1202 to 871.15 kmol/h, accompanied by an increase in the methane mole fraction from 0.69 to 0.74. Moreover, the rise in pressure led to an escalation in the preheater heating duty from 8.71 to 11.48 GJ/h. Conversely, the simulation findings demonstrated that raising the temperature of the separator feed stream from 43 to 83 ◦C caused a surge in the outlet gas stream flow rate from 871.15 to 1142.98 kmol/h.Furthermore, the variation in temperature led to a decrease in the methane concentration in the gas output and consequently lowered the heating duty required by the heat exchanger. Additionally, the research findings indicated that augmenting the inlet feed flow rate did not yield a substantial effect on the methane gas concentration in the final product.

REVOLUTIONIZING SMALL-SCALE LNG BUSINESS: OPTIMAL STRATEGIES FOR AN ADAPTIVE AND SUSTAINABLE SUPPLY CHAIN Nnadikwe Johnson
Jurnal Komputer Indonesia (Ju-Komi) Vol. 4 No. 01 (2025): Jurnal Komputer Indonesia (JU-KOMI), October 2025
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v4i01.745

This groundbreaking research tackles the intricate challenges facing the small-scale LNG market, including logistical complexities, high operational costs, limited infrastructure, fluctuating demand, and environmental concerns. By harnessing the power of machine learning techniques, such as reinforcement learning, recurrent neural networks, online learning, and graph theory, we develop a revolutionary intelligent system for optimizing LNG pickup and delivery routes. Our innovative approach transforms the selection and planning process, yielding unprecedented efficiency gains, cost reductions, and faster delivery times. Our linear regression model reveals a significant relationship between LNG supply chain cost and independent variables, with a coefficient of determination (R-squared) of 0.85. The time series analysis shows a trend coefficient of 0.05, indicating a steady increase in LNG supply chain performance metrics. The ARIMA model demonstrates a strong autoregressive component, with a coefficient of 0.80. Our multiple linear regression model shows that transportation cost, storage cost, demand, and supply are significant predictors of LNG supply chain cost, with an R-squared of 0.90. The stochastic frontier analysis estimates an efficiency score of 0.85, indicating room for improvement in the LNG supply chain. The vector autoregression model reveals significant relationships between LNG supply chain performance metrics, with an AIC of 120.56. The generalized autoregressive conditional heteroskedasticity model estimates a significant ARCH coefficient of 0.20 and GARCH coefficient of 0.70, indicating volatility clustering in LNG supply chain performance metrics. The panel data model shows that transportation cost and storage cost are significant predictors of LNG supply chain cost, with an R-squared of 0.88. Our machine learning model achieves an R-squared of 0.92, outperforming traditional statistical models. By implementing optimization strategies, we achieve a 15% reduction in transportation costs, a 20% reduction in transportation times, a 12% increase in tank utilization, an 8% reduction in transportation costs through using larger vessels, a 6% reduction in transportation costs through optimizing routes, and a 4% reduction in overall supply chain costs through improving demand forecasting and supply chain planning.

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