Lagouge Tartibu

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• Doctor of Engineering
• Professor (Full) at University of Johannesburg

Mini-diesel engines are widely used in the domestic and commercial sectors, with a global emphasis on improving efficiency and reducing emissions. This study involved the introduction of a novel predictive framework leveraging an advanced Artificial Neural Network (ANN) model, explicitly tailored to mini-diesel engines and addressing key challenges...

Supplier quality evaluation in industrial sectors is well-recognized due to its direct impact on quality assurance and improvement. This task is challenging due to the need to process extensive qualitative and quantitative data, multi-dimensional attributes, and numerous suppliers. Traditional methods are increasingly inadequate to manage this larg...

The integration of Industry 4.0 technologies in manufacturing environments has significantly advanced production capabilities but has also introduced complex challenges for occupational health and safety. While previous studies have extensively explored the physical and technical impacts of these technologies, the psychological aspects, particularl...

Abundant solar resources and increasing electricity demand make solar energy a promising renewable energy source in Sub-Saharan Africa. However, conventional stationary Photovoltaic (PV) systems face challenges in efficiently capturing solar irradiation. To address this limitation, the implementation of solar tracking systems becomes essential, as...

In this study, the choice of mild steel for the swing mechanism was essential due to its mechanical properties, strength, and environmental resistance. The swing system, incorporating a stand, swing, connecting rod, spur gear, bearings, freewheel, battery, dynamo, and sprocket, was designed for sustainable energy generation without compromising use...

This chapter investigates the machinability of Ti-6Al-4V, a titanium alloy widely used in aerospace, biomedical, and automotive industries due to its exceptional properties such as high strength, low density, and corrosion resistance. Despite these advantages, the alloy presents machining challenges due to poor thermal conductivity and high reactiv...

Parabolic trough collectors (PTCs) are highly efficient technologies for harnessing solar energy, used in applications such as power generation, water desalination, and residential cooling or heating. In desalination, PTC systems convert seawater into freshwater by reducing salinity. These systems have advanced into sophisticated Concentrated Solar...

The design and optimization of a liquid cooling battery thermal management system (BTMS) are critical to maintaining optimal battery temperatures and ensuring longevity while balancing energy consumption. This study focuses on optimizing the heat transfer efficiency and energy consumption of a multi-channel cold plate in a liquid cooling BTMS for e...

This study explores the optimization of a small-sized solar photovoltaic-thermal (PV-T) water collector using the Multi-objective Imperialist Competitive Algorithm (MOICA) and compares its performance with the augmented ε-constraint method (AUGMENCON). The collector, designed to simultaneously generate electricity and heat water, was evaluated base...

This study focuses on the optimization of a microchannel heat sink (MCHS) to enhance thermal management performance, particularly for high-performance electronics. The research employs a multi-objective optimization approach, using the Thermal Exchange Optimization (TEO) algorithm to simultaneously minimize thermal resistance and pumping power, key...

Natural convection heat transfer in porous enclosures has a broad range of applications in engineering, particularly for improving thermal management in systems like electronic devices, heat exchangers, and geothermal systems. This study focuses on optimizing the thermal performance of a porous triangular chamber filled with a porous medium by appl...

As electronic devices become more compact and powerful, effective thermal management is crucial to prevent overheating. Honeycomb heat sinks have emerged as a promising solution due to their unique geometry, which maximizes surface area while minimizing weight. This chapter presents the multi-objective optimization of a honeycomb heat sink using th...

This chapter presents an in-depth analysis of a solar-driven generation plant, which harnesses solar energy for the production of electricity, heating, and cooling. Various technologies such as photovoltaic systems, concentrated solar power (CSP), and advanced multi-generation systems are examined to enhance energy efficiency and reduce costs. The...

This study explores the application of the Multi-objective Cuckoo Search Algorithm (MOCS) for optimizing cutting parameters in machining operations. The primary objective is to simultaneously minimize surface roughness and three vibration components—tangential, radial, and axial—by considering the cutting speed, feed rate, and cutting edge angle as...

Traditional methods of dehulling legumes and cereals such as sorghum, cowpea, maize, and groundnuts rely heavily on manual techniques, including palm rubbing and the use of pestle and mortar, which are labor-intensive, time-consuming, and inefficient. In this study, these limitations are addressed by designing, fabricating, and rigorously testing a...

This article presents the design and analysis of a Thermoacoustically-Driven Thermoacoustic Refrigerator (TADTAR)powered by waste heat. The primary objective is to develop an efficient refrigeration system that offers significant cooling capacity while minimizing energy consumption and emissions associated with conventional refrigeration methods. B...

Optimization lies at the heart of engineering, driving the design of systems that are not only efficient but also innovative and robust. By identifying optimal solutions within given constraints, engineers can enhance the performance of systems in ways that were previously unattainable. This book is a comprehensive guide to engineering optimization...

This project examines the impact of hot working and cold working on low-carbon steel. Low-carbon steel is widely used in industries due to its favourable strength and ductility characteristics. The study investigates how hot and cold working processes affect the material's mechanical characteristics and microscopic arrangement. Rigorous experimenta...

The rising challenge of polyethylene terephthalate (PET) waste necessitates efficient collection methods to mitigate environmental impacts. The Analytic Hierarchy Process (AHP) is one of the Multi-Criteria Decision Analysis (MCDA) approaches utilized in this study. The Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) w...

In rotary and mechanical systems, the fatigue life of bearings is a critical factor to consider if unplanned shutdown is to be prevented. Often, the inner and outer rings of bearings are non-concentric, and this mostly results in axial or angular misalignment. This research employs finite element analysis software, Abaqus CAE and finite element ana...

Storage tanks are vital components across industries, especially in the power generation industry, where they are used for oil storage. The internal pressure these tanks are able to withstand greatly affects their longevity and behaviour under service conditions. This paper presents a comprehensive computational study that utilizes Finite Element A...

The increasing demand for energy, driven by technological advances, population growth, and economic expansion, has intensified the focus on efficient energy management. Tri-generation systems, such as Combined Cooling, Heating, and Power (CCHP) systems, are of particular interest due to their efficiency and sustainability. Integrating renewable ene...

Solar photovoltaic-thermal (PV-T) systems enhance overall efficiency by reducing heat losses at the aperture plane and potentially increasing irradiance per unit area compared to larger prototypes. Despite these benefits, limited research has been dedicated to improving the efficiency of PV-T collectors. This study introduces a novel approach for o...

Conical shell is common structural component in various rotating machinery. The study of traveling wave vibration performance of conical shell is of great significant for the design of rotating machinery. This paper addresses the traveling wave vibration performance of rotating functionally graded material (FGM) conical shells. Artificial springs,...

Telemedicine applications provide patients with convenient and accessible remote healthcare, but prolonged wait times and server congestion can detract from both patient satisfaction and system efficiency. This study utilizes the Revoledu online queuing system tool to systematically analyse the factors influencing telemedicine performance by varyin...

Today's policymakers face a significant challenge in successfully integrating Industry 4.0 technologies across various sectors. With Industry 4.0 set to play a crucial role in the future, the need for a robust implementation framework is evident. This article focuses on an appropriate pattern for deploying Industry 4.0 technologies with the assista...

The economic viability of Internet of Things (IoT) technologies in additive and advanced manufacturing has received much attention recently. This study investigates the economic benefits and constraints of incorporating IoT into additive and advanced manufacturing. The ability to produce intricate, detailed products using additive manufacturing, of...

The rising challenge of polyethylene terephthalate (PET) waste necessitates efficient collection methods to mitigate environmental impacts. The Analytic Hierarchy Process (AHP) is one of the Multi-Criteria Decision Analysis (MCDA) approaches utilized in this study. The Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) w...

Storage tanks are essential components in various industries, particularly in power generation, where they are utilized for oil storage. The stress developed within these tanks due to internal pressure significantly influences their useful life and buckling behaviour during service. In this study, finite element analysis is employed to investigate...

The Nigerian government has promoted industrial development based on the area of policy implementation. The development of policy and the use of renewable energy in terms of solar and wind energy generation is very significant because of the role of generating energy from green sources in reducing environmental pollution. The aim is to study the ef...

The increasing demand for energy, driven by technological advances, population growth, and economic expansion, has intensified the focus on efficient energy management. Tri-generation systems, such as Combined Cooling, Heating, and Power (CCHP) systems, are of particular interest due to their efficiency and sustainability. Integrating renewable ene...

Efficient prediction of thermal system performance is crucial for optimizing building energy systems. This paper introduces a predictive model to forecast Heating, Ventilation, and Air Conditioning (HVAC) systems' performance with Ice Thermal Energy Storage (ITES). The indicators encompass storage temperature, Coefficient of Performance (COP), cool...

This study presents an innovative approach to developing ecologically sustainable self-compacting concrete. It utilises high-volume fly ash (HVFA) and scrap rubber as partial replacements for fine aggregate and cement. Additionally, it incorporates calcium carbide waste as an additive to cementitious constituents. The researchers employed Response...

Thermoacoustic generators (TAGs) present an attractive solution for converting low-grade thermal energy into useable electrical power. Despite their relatively modest fabrication, TAGs face significant efficiency challenges that impede their broader adoption. Current research efforts in thermoacoustics are primarily focused on overcoming these limi...

Thermoacoustic engines (TAE) offer a promising avenue for converting low-grade heat into useable energy. Despite its simplicity in fabrication, designing thermoacoustic engines face efficiency challenges hindering their widespread adoption. One key obstacle faced by current thermoacoustic devices is their lack of efficiency. The core components of...

The selection of materials for the protective coating of a crusher’s feed chute significantly influences the mean time between failures (MTBF) and operational costs associated with the mass production of sulfuric acid at MMG/Kinsevere. Neglecting the condition of the protective coating can pose a serious challenge to production efficiency and resul...

Investigating the structural behaviour and buckling susceptibility of cylindrical oil storage tanks is crucial for ensuring their safe and reliable operation. In this study, the structural behaviour and buckling susceptibility of closed roof-top cylindrical oil storage tanks under combined internal and external pressure scenarios were investigated...

Waste heat recovery stands out as a promising technique to tackle both energy shortagesand environmental pollution. Currently, this valuable resource, generated from processes like fuelcombustion or chemical reactions, is often dissipated into the environment, despite its potential tosignificantly contribute to the economy. To harness this untapped...

The approach that could reduce the energy consumption of water-cooled chillers in office buildings was investigated through experimental and simulation methods. The chiller was modelled in TRNSYS and validated using physical measurements from an operational water-cooled water chiller and fan coil system. The validated model was used to analyse the...

Drying cereals is a vital process to reduce moisture content, enabling efficient storage. This study investigates the convective drying of cereals through numerical simulations and ANN. Ten key parameters were considered include temperature. Simulation results reveal that moisture in cereals gradually equilibrates with the ambient environment. The...

The aim of this study is to explore the application trend of the circular economy and research on plastic waste recycling by comparing results from selected databases. The methodology involves developing a bibliometric study based on data from Scopus and the Web of Science Journals & Country Rank, spanning from 2014 to 2023. A total of 2,083 articl...

Researchers are actively working on developing technologies to address the crucial challenge of reducing the environmental impact of air conditioning and refrigeration systems, aiming to provide cooling solutions without harming the ozone layer and minimizing their contribution to global warming. To this end, a standing-wave thermo-acoustic sy...

This work presents the design and manufacturing process of a travelling-wave thermo-acoustic electricity generator with a total length of 3600mm, where the thermo-acoustic engine stages are spaced 650mm apart. The document provides comprehensive insights into the design and fabrication of individual components and the manufacturing procedures...

Solar photovoltaic thermal (PV-T) collectors offer enhanced overall efficiency owing to reduced heat losses at the aperture plane and the potential for increased irradiance per unit area in comparison to larger prototypes. In spite of its promise, investigations into optimizing PV-T collector performance remain limited. This paper introduces a nove...

The implementation of coatings on industrial materials has a significant impact on their tribological, corrosion, and mechanical properties. This review examines the impact of coatings on these essential material properties, and the challenges of the implementation mechanisms are discussed. In industrial applications, coatings are essential for low...

In the last few years, there has been a rise in interest in ride-hailing as a novel form of urban transportation and mobility service. This comprehensive literature analysis evaluates how ride-hailing services affect public road transportation in terms of traffic congestion, safety, and security. The evaluation is grounded in the Preferred Reportin...

The hybridization of conventional thermal power plants by the incorporation of renewable energy systems has witnessed widespread adoption in recent years. This trend aims not only to mitigate carbon emissions but also to enhance the overall efficiency and performance of these power generation facilities. However, calculating the performance of such...

Waste heat recovery stands out as a promising technique to tackle both energy shortages and environmental pollution. Currently, this valuable resource, generated from processes like fuel combustion or chemical reactions, is often dissipated into the environment, despite its potential to significantly contribute to the economy. To harness this untap...

This study experimentally analysed the influence of chilled water temperature setpoints on thermal comfort conditions and energy consumption of an office building. Three chilled water temperature setpoints (10 °C, 12.5 °C, and 14 °C) were studied. The indoor environment variables (temperature and relative humidity) which are considered indicators o...

Le vilebrequin fait partie d'un moteur à quatre cylindres. C'est l'élément principal du dispositif bielle-manivelle, il a pour but de transformer le déplacement résultant des mouvements de haut en bas des pistons en un mouvement de rotation. Ainsi, c'est le vilebrequin qui transforme l'énergie générée par la combustion en transmission. Cet article...

Le vilebrequin fait partie d'un moteur à quatre cylindres. C'est l'élément principal du dispositif bielle-manivelle, il a pour but de transformer le déplacement résultant des mouvements de haut en bas des pistons en un mouvement de rotation. Ainsi, c'est le vilebrequin qui transforme l'énergie générée par la combustion en transmission. Cet article...

Manageability has gotten a significant measure of interest and has been assigned to the board. As a contextual investigation, this paper presents a survey of articles focusing on the meaning of creation and the activities of executives in the manageability of the assembling business, with a specific focus on fossil fuel by-products involving the fo...

Drying is the removal of moisture content and other chemical compositions. The study aims to improve the process parameters involved in cassava chip drying. A statistical approach was utilized to evaluate the significance of the drying variables, such as the various cassava species, the drying temperature, and the drying duration, and their influen...

Energy demand and consumption have, in recent times, witnessed a rapid proliferation influenced by technological developments, increased population and economic growth. This has fuelled research trends in the domain of energy management employing tri-generation systems such as combined cooling, heating and power (CCHP) systems. Furthermore, the inc...

The hybridization of conventional thermal power plants by incorporation of renewable energy systems has witnessed widespread adoption in recent years. This trend aims not only to mitigate carbon emissions but also to enhance the overall efficiency and performance of these power generation facilities. However, calculating the performance of such int...

The act of sustainable manufacturing lies in the response's prediction analysis, such as surface roughness during machining operations with nano-lubricant. This research focuses on developing a mathematical model to predict the experimental results of surface roughness of AA8112 alloys obtained during the end-milling process with an eco-friendly na...

Nowadays, integrating renewable energy sources, such as tidal power, into the existing power grids of turbines is crucial for sustainable energy generation. However, tidal turbine energy transforms the potential energy of moving water into electrical energy. When both nonlinear load and dynamic load harmonics are present, the tide speed variance ca...

Energy demand and consumption in recent times have witnessed a rapid proliferation influenced by technological developments, increased population and economic growth. This has fuelled research trends in the domain of energy management employing tri-generation systems such as the combined cooling, heating and power (CCHP) systems. Furthermore, the i...

Optimization in the manufacturing process enhances the quality and productivity of the industry. This chapter is aimed at discussing and reviewing global optimization and prediction techniques in the machining process. This study covered the review of heuristic and metaheuristic techniques for advanced manufacturing optimization, such as the artifi...

Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry...

Real engineering difficulties come in a variety of forms, each requiring a unique set of tools to solve. Multi-objectivity is one of the key elements of real situations that makes them difficult to solve. In this section, the machinability performance problem is studied using two indicators namely the cutting force and the surface roughness. The sp...

Sustainable development depends on the dynamics of the manufacturing process. This chapter discusses an overview of the advanced machining processes that are currently in use in the manufacturing industry. In order to study the heuristic and metaheuristic techniques for advanced nanolubricant machining optimization. The need for an overview of mode...

Titanium alloys are challenging to cut due to low thermal conductivity and excessive tool wear. This work seeks to address poor machinability through optimization. In this section, titanium alloy (Ti–6Al–4V) was chosen as the turning work material. The cutting force and the surface roughness were considered indicators of the machining performance....

The prediction analysis of cutting force in the cutting process is very significant in the manufacturing of products for industrial use. Cutting force is one of the responses in machining operations that affect energy consumption via computer numerical control of the manufacturing process. The focus of this chapter is to employ artificial neural ne...

Modelling of surface roughness is challenging because machining conditions cannot be well covered by theoretical models. In this section, 50 configurations corresponding to various spindle speed, feed rate, length of cut, depth of cut, helix angle were considered to predict the surface roughness of the end milling machining of an AA8112 alloy. In t...

Numerical analysis is a significant aspect of the manufacturing process. This process is used to study the performance of lubricants and cutting parameters during machining operations. Material removal rate (MRR) is an important factor to consider to enhance the machining and production processes of manufacturing components. Using an artificial neu...

The development and the implementation of nano-lubricants together with the use of numerical approach for prediction and optimization in the machining process is state of the art in the manufacturing of engineering and structural component. This study has reviewed the application of the development of nano lubricants, and the implementation of vari...

Machining performance can be assessed through indicators such as cutting force and surface roughness. These indicators can be predicted and optimized by adjusting parameters such as the cutting speed, the feed rate and the depth of cut. Several studies have pointed out the conflicting nature of cutting force and surface roughness when attempting to...

Cutting fluid is a major aspect of the machining process when machining metals with material adhesion challenges, as the fluid assists in the flushing of the chips from the cutting region and reduces the temperature generation and friction during the process. This chapter focuses on the cutting fluid and its application with various delivery mechan...

One of the most popular meta-heuristic optimization algorithms today is the grasshopper algorithm. Several industries, including engineering design, wireless networking, machine learning and control of power systems have effectively used it to solve a variety of optimization challenges. Despite its potential for optimization, grasshopper optimizer...

Machining processes involve many nonlinear parameters which make them complex. Setting of machines is generally relying on decision-making skills based on intuition and common sense learned through experience. In this work, five variables namely the spindle speed, the feed rate, the length of the cut, the depth of cut and the helix angle were consi...

Sustainable manufacturing of machine parts lies in predicting and optimizing the machining parameters for the machining operations. The optimized parameters will produce sustainable products with reduced corrosion and fatigue problems because the roughness of the surface of the product will lead to the failure of the component or part during the pr...

Artificial intelligence can significantly lower water supply and sanitation systems and assist to ensure compliance with drinking water and wastewater treatment standards. As a result, there has been extensive research on modelling and forecasting water quality to reduce water pollution. The proposed system’s uniqueness is offered to create an effe...

The most important part of the wind turbine is the blade. From existing studies, it has been concluded that most wind turbine blades have a high rate of failure during operation due to fatigue, because of a lack of proper material selection processes. Materials such as fiberglass, wood, aluminum, and steel have been used but have not been able to q...

The significance of intelligent transportation systems and artificial intelligence in Road transportation networks has made the prediction of traffic flow a subject of discussion among transportation engineers, urban planners, and researchers in the last decade. However, limited research has been done on traffic flow modelling of long and short tru...

This study focuses on the experimental investigation of the relationships between cutting parameters and their effects on surface roughness during the turning process of aluminum alloy 6063 when dry machining is used. In order to construct a model utilizing Box–Behnken Design and analyze the surface quality of the three machining variables, experim...

The search for renewable resources has grown globally as a result of the harmful effects of fossil fuel use on the environment, such as global warming and acid rain. Biomass fuels do not contribute to the accumulation of carbon dioxide in the atmosphere. This study utilised response surface methodology for the optimisation of pyrolysis process para...

Computer numerically controlled (CNC) milling has been one of the most commonly used manufacturing processes for the performance of multiple operations, from tiny integrated circuits to heavy-duty mining machine gearboxes. It is a well-known machining process that offers close tolerances and repeated operations. However, the choice of machining par...

Corrosion is a significant aspect considered during the manufacturing process. As newly developed metal composites have proven to perform exceptionally well in terms of weight-to-strength ratio and mechanical properties improvement, there is also a need to ascertain that the materials can withstand corrosion. This study will focus on the corrosion...

The gradual global shift from fossil fuels to renewable energy sources such as wind energy for power generation has stirred up a perpetual exigency for sustainable materials for manufacturing wind turbine blades. AMMCs are categories of materials that, over time, have proven reliable as they have been successful in meeting engineering needs in appl...