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Conference Presentations by lagouge TARTIBU

This paper deals with the optimization of an assembly model using the parametric variations provi... more This paper deals with the optimization of an assembly model using the parametric variations provided in stress analysis of the Autodesk Inventor software environment. More than ever before, designers operate in highly competitive environment. They must deal with competitive pressure and with conflicting demands from customers and regulatory bodies regarding their prototype functional performance, the environment and societal impact. This, in addition to the quick-time-to-market, forces them to develop products of increasing quality in even shorter time. As a result, designers are under pressure to increasingly limit the weight, the cost, while meeting all design targets for structural integrity and safety. To succeed in such challenging tasks, designers must make upfront decisions based on multi-attribute simulation directly performed on a parametric CAD model. A robot base assembly model is used to illustrate the approach. Finite element analysis (FEA) is used to minimize the mass of the robot base assembly while keeping displacement and stress within allowable range and considering safety criteria and profiles size changes. The development of this parametric optimization framework with a focus on the deployment of such CAD-based design approach constitutes the main contribution of this paper.

Papers by lagouge TARTIBU

30th Annual Conference of the International Association for Management of Technology (IAMOT 2021), 2021

This research aims at evaluating possible ways of implementing the lean six sigma tools and princ... more This research aims at evaluating possible ways of implementing the lean six sigma tools and principles to micro, small and medium enterprises (MSMEs) to develop Competitiveness and resilience during and after the pandemic. The emergence of COVID-19's economic repercussion on MSMEs is part of a global a crisis that has positioned SMEs under enormous strain to survive, requiring them to effectively adapt to changes in crisis situations. SMEs make a substantial contribution to various economies globally, as evidenced by the fact that they account for a large portion of the countries' GDP while also providing a source of income for millions of individuals. SMEs are the most susceptible during the pandemic because of their limited access to capital, technology among other causes. This study will provide MSMEs' recommendations and remain competitive through resilience by developing inherent operational excellence for continuous improvement in their business process. Copyright © 2021 by Naudé Scribante. Permission granted to IAMOT to publish and use.

Studies in computational intelligence, Nov 14, 2020

Moth–flame optimization (MFO) algorithm is a simple and easy to implement, nature-inspired, meta-... more Moth–flame optimization (MFO) algorithm is a simple and easy to implement, nature-inspired, meta-heuristic algorithm. This chapter covers the introduction to moth flame optimization algorithm, steps for generating moths randomly within the neighbourhood or solution space and solved numerical example are provided. The fitness value for each moth is calculated and the best position obtained is tagged by flame. The updating process takes place after which the process is repeated until a point where criteria for termination is attained. The MFO model was implemented in MATLAB, to illustrate the approach, 30 search agents were considered (n = 30) and the maximum number of iterations were set to 100. The best solution obtained by MFO [1.7999 0.19996] and the best optimal value of the objective function found by MFO is 84. MFO algorithm can be used in diverse areas of operation for scheduling, estimation, simulation, and control.

Studies in computational intelligence, Nov 14, 2020

Neural Computing and Applications, May 24, 2022

Studies in computational intelligence, Nov 14, 2020

This research aims to investigate a possible integration between Lean Six Sigma tools and princip... more This research aims to investigate a possible integration between Lean Six Sigma tools and principles and Industry 4.0 technologies to address pre-harvest and post-harvest food waste with a focus on Sub-Saharan Africa. With the projected increase in world population by United Nations to increase by 33% in 2050 and 99% increase in Sub-Saharan African in the same year. These foreseen changes will present global food security concerns in the future, with the greatest demand growth from the Sub-Saharan African region. The United Nations and the Food and Agriculture Organization predict that about 1.3 billion tons of food are globally wasted or lost per year, which also further adds to a global food security concern, bringing about a rise in food prices due to growing consumer demand. To address this impending challenge on food security globally, we aim to introduce analytics by applying advanced information systems synergies with the lean six sigma DMAIC methodology to systematically proffer solutions to production waste by understanding the critical factors responsible and curbing them with the latest innovations. This integration will bring about a more resilient food system, especially during and after the Covid-19. Copyright © 2021 by Naudé Scribante. Permission granted to IAMOT to publish and use.

Applied Sciences

This study focused on the atomic scale growth dynamics of amorphous Al2O3 films microscale struct... more This study focused on the atomic scale growth dynamics of amorphous Al2O3 films microscale structural relaxation. Classical Molecular Dynamics (MD) can not entirely model the challenging ALD dynamics due to the large timescales. The all-atom approach has rules based on deposition actions modelled MD relaxations that form as input to attain a single ALD cycle. MD relaxations are used to create a realistic equilibrium surface. This approach is fitting to this study as the investigation of the sticking coefficient is only at the first monolayer that includes the layering of a hydroxyl surface of alumina. The study provides insight between atomic-level numerical information and experimental measurements of the sticking coefficient related to the atomic layer deposition. The MD modeling was for the deposition of Al2O3, using trimethylaluminum (TMA) and water as precursors. The film thickness of 1.7 Å yields an initial sticking coefficient of TMA to be 4.257 × 10−3 determined from the slo...

Applied Sciences

In the last two decades the efficient traffic-flow prediction of vehicles has been significant in... more In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many advantages of applying intelligent transportation systems in road intersections. However, transportation researchers have not focused on prediction of vehicular traffic flow at road intersections using hybrid algorithms such as adaptive neuro-fuzzy inference systems optimized by genetic algorithms. In this research, we propose two models, namely the adaptive neuro-fuzzy inference system (ANFIS) and the adaptive neuro-fuzzy inference system optimized by genetic algorithm (ANFIS-GA), to model and predict vehicles at signalized road intersections using the South African public road transportation system. The traffic data used for this research were obtained via up-to-date traffic data equipment. Eight hundred fifty traffic datasets were used for the ANFIS and ANFIS-GA modelling. The traffic data compris...

Navigation for persons with physical disability very often poses a major challenge to both the vi... more Navigation for persons with physical disability very often poses a major challenge to both the victims and their dedicated navigation assistance-provider. This age-long problem has been a major concern in diverse research fields in the literature ranging from assistive medicine to applied intelligence amongst others. This research work is a build-up to the literature, hence, has presented an automated wheelchair system designed, fabricated and enhanced with joystick capability for obstacle detection and autonomous stoppage. A microcontroller unit known as Arduino uno was built into the system architecture to synchronise the entire set-up by driving the DC motor for directional and linear motion of the wheel chair. The developed system would greatly improve the community of people who have lost some means of independent mobility thereby leading to an improvement in their self-esteem enabling them pursue their vocational and educational goals. Conclusively, the developed system was te...

Lubricants

Aluminum alloys are becoming increasingly significant in the manufacturing industry due to their ... more Aluminum alloys are becoming increasingly significant in the manufacturing industry due to their light weight and durable properties. Widely applied in aerospace and construction, precision machining is required to ensure the best possible surface quality. The surface quality of a machined component is directly affected by the tool wear incurred during machining. This research investigated the effect of process parameters and machining conditions on tool wear. The critical process parameters selected were cutting speed, feed rate, and depth of cut. Multi-walled carbon nanotube particles were dispersed in a base fluid of mineral oil to create a new lubricant applied during machining. Pure mineral oil was also used as a lubricant to reduce friction. Machining experiments were carried out with the two lubricants, and the tool wear incurred was measured and compared using a Dinolite microscope. All experiments were carried out with high-speed steel (HSS) cutting tools. Taguchi’s L9 orth...

Smart Cities

The evolution of traffic-related accidents caused by long, short, and medium trucks at signalized... more The evolution of traffic-related accidents caused by long, short, and medium trucks at signalized road intersections have been underemphasized in the last few years. Far, little attention has been paid to the modelling of trucks traffic flow using an artificial neural network model and evaluating the stability analysis of trucks depending on the heterogenous optimal velocity. This research evaluates the effect of trucks on some specific traffic flow features. Over the years, it has been deduced that trucks, irrespective of their sizes, significantly impact their surrounding traffic flow due to their body sizes and operational features. In this study, we focused on modelling the traffic flow of trucks at signalized road intersections using traffic flow variables such as speed, traffic volume, traffic density, and time as our inputs and outputs. The truck traffic data was collected using up-to-date equipment such as video cameras and inductive loop detectors from the South Africa tran...

Production Technologies for Gaseous and Solid Biofuels

Sustainability

The COVID-19 pandemic is a significant public health problem and the leading cause of reduction i... more The COVID-19 pandemic is a significant public health problem and the leading cause of reduction in the demand and supply of public transit in the last three years. It has caused an unprecedented reduction in the demand for public road transportation, and it has changed passengers’ perceptions from positive to negative when it comes to using public transportation amenities. There is an increasing concern that the public road transportation systems are witnessing a new horizon, especially now that developed and developing countries are trying to resume their daily activities post COVID-19 pandemic. In this research, we focused on the overview of literature reviews of research within the past three years that focused on the challenges and solutions of the impact of the COVID-19 pandemic on public road transportation systems, especially when it comes to the enforcement of physical distancing in public transportation, usage of face masks and government interventions. The inclusion and ex...

Lubricants, 2022

Nano-lubricant machining of Aluminum 8112 alloy is the art of sustainable manufacturing of mechan... more Nano-lubricant machining of Aluminum 8112 alloy is the art of sustainable manufacturing of mechanical components used for defense technology and aerospace application. However, machining aluminum alloys generates excess heat, which tends to increase the cutting force (F.C.), due to the material adhesion of the workpiece on the cutting tool. The challenge has drawn researchers’ attention to introducing nano-lubrication processes. This study focused on the comparative assessment of eco-friendly vegetable oil-based-TiO2 and MWCNTs nano-lubricant on cutting force during the machining of the Aluminum 8112 alloy. Nanoparticles were implemented on the base oil using an ultrasonic vibrator and magnetic stirrer before the application in the machining, via the minimum quantity lubrication process. Quadratic central composite designs were employed to carry out the experiment, using five factors at five levels, having experimental runs of 50. The input parameters are helix angle (H.A.), spindle...

MATEC Web of Conferences, 2021

The effects of sound pressure level at two observation positions of a fixed and varied blade pitc... more The effects of sound pressure level at two observation positions of a fixed and varied blade pitch angle at Low-Mach unsteady incompressible Reynolds-Average Navier-Stokes flow approach, on an H-rotor Vertical Axis Wind Turbine. The objective of the study is to compare the noise dissipation and output power/energy of the airfoil blades design of the vertical axis wind turbine in residential zones. The Ffowcs Williams-Hawkings (FHWH) techniques were applied to validate the output noise and vortex shedding of the different angles of attacks (AoA). The study postulated that the time history of the calculated sound pressure level at two observers positions: the aeroacoustic, blade vortex interaction noise, flow separations, dynamic stall experience from varied angled of attacks are found to produces less noise and vortex shedding compared to the fixed angle of attack.

Infrastructures, 2021

In the last few years, there has been a significant rise in the number of private vehicles owners... more In the last few years, there has been a significant rise in the number of private vehicles ownership, migration of people from rural areas to urban cities, and the rise in the number of under-maintained freeways; all these have added to the perennial problem of traffic congestion. Traffic flow prediction has been recognized as the solution in alleviating and reducing the problem of traffic congestion. In this research, we developed an adaptive neuro-fuzzy inference system trained by particle swarm optimization (ANFIS-PSO) by performing an evaluative performance of the model through traffic flow modelling of vehicles on five freeways (N1,N3,N12,N14 and N17) using South Africa Transportation System as a case study. Six hundred and fifty (650) traffic data were collected using inductive loop detectors and video cameras from the five freeways. The traffic data used for developing these models comprises traffic volume, traffic density, speed of vehicles, time, and different types of vehi...

Communications - Scientific letters of the University of Zilina, 2022

In the last decades, the Italian road transport system has been characterized by severe and consi... more In the last decades, the Italian road transport system has been characterized by severe and consistent traffic congestion and in particular Rome is one of the Italian cities most affected by this problem. In this study, a LevenbergMarquardt (LM) artificial neural network heuristic model was used to predict the traffic flow of non-autonomous vehicles. Traffic datasets were collected using both inductive loop detectors and video cameras as acquisition systems and selecting some parameters including vehicle speed, time of day, traffic volume and number of vehicles. The model showed a training, test and regression value (R2) of 0.99892, 0.99615 and 0.99714 respectively. The results of this research add to the growing body of literature on traffic flow modelling and help urban planners and traffic managers in terms of the traffic control and the provision of convenient travel routes for pedestrians and motorists.

Journal of Measurements in Engineering, 2021

Difficult-to-machine materials, e.g., Titanium alloys, are highly applicable in diverse industrie... more Difficult-to-machine materials, e.g., Titanium alloys, are highly applicable in diverse industries that yield strength and wear resistance. However, they prove difficult to machine due to high vibration, leading to high cutting forces during the machining process. This vibration occurs from chip discontinuity and thereby leads to high friction between the cutting tool and workpiece. In order to minimize these challenges, lubricants are employed in machining operations to reduce frictional and other unnecessary cutting forces and improve surface finish. This research focuses on studying the nano-lubricant effects in reducing cutting forces in the machining of TI-6AL-4V-ELI alloy. Also, carry out a comparative study of dry, mineral oil, and TiO2 nano-lubricant during face-milling machining for optimal performance. Additionally, the study develops a predictive mathematical model for cutting force using a Taguchi L9 orthogonal array. A two-step approach was employed to develop the nano-...

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications, 2020

This paper deals with the optimization of an assembly model using the parametric variations provi... more This paper deals with the optimization of an assembly model using the parametric variations provided in stress analysis of the Autodesk Inventor software environment. More than ever before, designers operate in highly competitive environment. They must deal with competitive pressure and with conflicting demands from customers and regulatory bodies regarding their prototype functional performance, the environment and societal impact. This, in addition to the quick-time-to-market, forces them to develop products of increasing quality in even shorter time. As a result, designers are under pressure to increasingly limit the weight, the cost, while meeting all design targets for structural integrity and safety. To succeed in such challenging tasks, designers must make upfront decisions based on multi-attribute simulation directly performed on a parametric CAD model. A robot base assembly model is used to illustrate the approach. Finite element analysis (FEA) is used to minimize the mass of the robot base assembly while keeping displacement and stress within allowable range and considering safety criteria and profiles size changes. The development of this parametric optimization framework with a focus on the deployment of such CAD-based design approach constitutes the main contribution of this paper.

30th Annual Conference of the International Association for Management of Technology (IAMOT 2021), 2021

This research aims at evaluating possible ways of implementing the lean six sigma tools and princ... more This research aims at evaluating possible ways of implementing the lean six sigma tools and principles to micro, small and medium enterprises (MSMEs) to develop Competitiveness and resilience during and after the pandemic. The emergence of COVID-19's economic repercussion on MSMEs is part of a global a crisis that has positioned SMEs under enormous strain to survive, requiring them to effectively adapt to changes in crisis situations. SMEs make a substantial contribution to various economies globally, as evidenced by the fact that they account for a large portion of the countries' GDP while also providing a source of income for millions of individuals. SMEs are the most susceptible during the pandemic because of their limited access to capital, technology among other causes. This study will provide MSMEs' recommendations and remain competitive through resilience by developing inherent operational excellence for continuous improvement in their business process. Copyright © 2021 by Naudé Scribante. Permission granted to IAMOT to publish and use.

Studies in computational intelligence, Nov 14, 2020

Moth–flame optimization (MFO) algorithm is a simple and easy to implement, nature-inspired, meta-... more Moth–flame optimization (MFO) algorithm is a simple and easy to implement, nature-inspired, meta-heuristic algorithm. This chapter covers the introduction to moth flame optimization algorithm, steps for generating moths randomly within the neighbourhood or solution space and solved numerical example are provided. The fitness value for each moth is calculated and the best position obtained is tagged by flame. The updating process takes place after which the process is repeated until a point where criteria for termination is attained. The MFO model was implemented in MATLAB, to illustrate the approach, 30 search agents were considered (n = 30) and the maximum number of iterations were set to 100. The best solution obtained by MFO [1.7999 0.19996] and the best optimal value of the objective function found by MFO is 84. MFO algorithm can be used in diverse areas of operation for scheduling, estimation, simulation, and control.

Studies in computational intelligence, Nov 14, 2020

Neural Computing and Applications, May 24, 2022

Studies in computational intelligence, Nov 14, 2020

This research aims to investigate a possible integration between Lean Six Sigma tools and princip... more This research aims to investigate a possible integration between Lean Six Sigma tools and principles and Industry 4.0 technologies to address pre-harvest and post-harvest food waste with a focus on Sub-Saharan Africa. With the projected increase in world population by United Nations to increase by 33% in 2050 and 99% increase in Sub-Saharan African in the same year. These foreseen changes will present global food security concerns in the future, with the greatest demand growth from the Sub-Saharan African region. The United Nations and the Food and Agriculture Organization predict that about 1.3 billion tons of food are globally wasted or lost per year, which also further adds to a global food security concern, bringing about a rise in food prices due to growing consumer demand. To address this impending challenge on food security globally, we aim to introduce analytics by applying advanced information systems synergies with the lean six sigma DMAIC methodology to systematically proffer solutions to production waste by understanding the critical factors responsible and curbing them with the latest innovations. This integration will bring about a more resilient food system, especially during and after the Covid-19. Copyright © 2021 by Naudé Scribante. Permission granted to IAMOT to publish and use.

Applied Sciences

This study focused on the atomic scale growth dynamics of amorphous Al2O3 films microscale struct... more This study focused on the atomic scale growth dynamics of amorphous Al2O3 films microscale structural relaxation. Classical Molecular Dynamics (MD) can not entirely model the challenging ALD dynamics due to the large timescales. The all-atom approach has rules based on deposition actions modelled MD relaxations that form as input to attain a single ALD cycle. MD relaxations are used to create a realistic equilibrium surface. This approach is fitting to this study as the investigation of the sticking coefficient is only at the first monolayer that includes the layering of a hydroxyl surface of alumina. The study provides insight between atomic-level numerical information and experimental measurements of the sticking coefficient related to the atomic layer deposition. The MD modeling was for the deposition of Al2O3, using trimethylaluminum (TMA) and water as precursors. The film thickness of 1.7 Å yields an initial sticking coefficient of TMA to be 4.257 × 10−3 determined from the slo...

Applied Sciences

In the last two decades the efficient traffic-flow prediction of vehicles has been significant in... more In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many advantages of applying intelligent transportation systems in road intersections. However, transportation researchers have not focused on prediction of vehicular traffic flow at road intersections using hybrid algorithms such as adaptive neuro-fuzzy inference systems optimized by genetic algorithms. In this research, we propose two models, namely the adaptive neuro-fuzzy inference system (ANFIS) and the adaptive neuro-fuzzy inference system optimized by genetic algorithm (ANFIS-GA), to model and predict vehicles at signalized road intersections using the South African public road transportation system. The traffic data used for this research were obtained via up-to-date traffic data equipment. Eight hundred fifty traffic datasets were used for the ANFIS and ANFIS-GA modelling. The traffic data compris...

Navigation for persons with physical disability very often poses a major challenge to both the vi... more Navigation for persons with physical disability very often poses a major challenge to both the victims and their dedicated navigation assistance-provider. This age-long problem has been a major concern in diverse research fields in the literature ranging from assistive medicine to applied intelligence amongst others. This research work is a build-up to the literature, hence, has presented an automated wheelchair system designed, fabricated and enhanced with joystick capability for obstacle detection and autonomous stoppage. A microcontroller unit known as Arduino uno was built into the system architecture to synchronise the entire set-up by driving the DC motor for directional and linear motion of the wheel chair. The developed system would greatly improve the community of people who have lost some means of independent mobility thereby leading to an improvement in their self-esteem enabling them pursue their vocational and educational goals. Conclusively, the developed system was te...

Lubricants

Aluminum alloys are becoming increasingly significant in the manufacturing industry due to their ... more Aluminum alloys are becoming increasingly significant in the manufacturing industry due to their light weight and durable properties. Widely applied in aerospace and construction, precision machining is required to ensure the best possible surface quality. The surface quality of a machined component is directly affected by the tool wear incurred during machining. This research investigated the effect of process parameters and machining conditions on tool wear. The critical process parameters selected were cutting speed, feed rate, and depth of cut. Multi-walled carbon nanotube particles were dispersed in a base fluid of mineral oil to create a new lubricant applied during machining. Pure mineral oil was also used as a lubricant to reduce friction. Machining experiments were carried out with the two lubricants, and the tool wear incurred was measured and compared using a Dinolite microscope. All experiments were carried out with high-speed steel (HSS) cutting tools. Taguchi’s L9 orth...

Smart Cities

The evolution of traffic-related accidents caused by long, short, and medium trucks at signalized... more The evolution of traffic-related accidents caused by long, short, and medium trucks at signalized road intersections have been underemphasized in the last few years. Far, little attention has been paid to the modelling of trucks traffic flow using an artificial neural network model and evaluating the stability analysis of trucks depending on the heterogenous optimal velocity. This research evaluates the effect of trucks on some specific traffic flow features. Over the years, it has been deduced that trucks, irrespective of their sizes, significantly impact their surrounding traffic flow due to their body sizes and operational features. In this study, we focused on modelling the traffic flow of trucks at signalized road intersections using traffic flow variables such as speed, traffic volume, traffic density, and time as our inputs and outputs. The truck traffic data was collected using up-to-date equipment such as video cameras and inductive loop detectors from the South Africa tran...

Production Technologies for Gaseous and Solid Biofuels

Sustainability

The COVID-19 pandemic is a significant public health problem and the leading cause of reduction i... more The COVID-19 pandemic is a significant public health problem and the leading cause of reduction in the demand and supply of public transit in the last three years. It has caused an unprecedented reduction in the demand for public road transportation, and it has changed passengers’ perceptions from positive to negative when it comes to using public transportation amenities. There is an increasing concern that the public road transportation systems are witnessing a new horizon, especially now that developed and developing countries are trying to resume their daily activities post COVID-19 pandemic. In this research, we focused on the overview of literature reviews of research within the past three years that focused on the challenges and solutions of the impact of the COVID-19 pandemic on public road transportation systems, especially when it comes to the enforcement of physical distancing in public transportation, usage of face masks and government interventions. The inclusion and ex...

Lubricants, 2022

Nano-lubricant machining of Aluminum 8112 alloy is the art of sustainable manufacturing of mechan... more Nano-lubricant machining of Aluminum 8112 alloy is the art of sustainable manufacturing of mechanical components used for defense technology and aerospace application. However, machining aluminum alloys generates excess heat, which tends to increase the cutting force (F.C.), due to the material adhesion of the workpiece on the cutting tool. The challenge has drawn researchers’ attention to introducing nano-lubrication processes. This study focused on the comparative assessment of eco-friendly vegetable oil-based-TiO2 and MWCNTs nano-lubricant on cutting force during the machining of the Aluminum 8112 alloy. Nanoparticles were implemented on the base oil using an ultrasonic vibrator and magnetic stirrer before the application in the machining, via the minimum quantity lubrication process. Quadratic central composite designs were employed to carry out the experiment, using five factors at five levels, having experimental runs of 50. The input parameters are helix angle (H.A.), spindle...

MATEC Web of Conferences, 2021

The effects of sound pressure level at two observation positions of a fixed and varied blade pitc... more The effects of sound pressure level at two observation positions of a fixed and varied blade pitch angle at Low-Mach unsteady incompressible Reynolds-Average Navier-Stokes flow approach, on an H-rotor Vertical Axis Wind Turbine. The objective of the study is to compare the noise dissipation and output power/energy of the airfoil blades design of the vertical axis wind turbine in residential zones. The Ffowcs Williams-Hawkings (FHWH) techniques were applied to validate the output noise and vortex shedding of the different angles of attacks (AoA). The study postulated that the time history of the calculated sound pressure level at two observers positions: the aeroacoustic, blade vortex interaction noise, flow separations, dynamic stall experience from varied angled of attacks are found to produces less noise and vortex shedding compared to the fixed angle of attack.

Infrastructures, 2021

In the last few years, there has been a significant rise in the number of private vehicles owners... more In the last few years, there has been a significant rise in the number of private vehicles ownership, migration of people from rural areas to urban cities, and the rise in the number of under-maintained freeways; all these have added to the perennial problem of traffic congestion. Traffic flow prediction has been recognized as the solution in alleviating and reducing the problem of traffic congestion. In this research, we developed an adaptive neuro-fuzzy inference system trained by particle swarm optimization (ANFIS-PSO) by performing an evaluative performance of the model through traffic flow modelling of vehicles on five freeways (N1,N3,N12,N14 and N17) using South Africa Transportation System as a case study. Six hundred and fifty (650) traffic data were collected using inductive loop detectors and video cameras from the five freeways. The traffic data used for developing these models comprises traffic volume, traffic density, speed of vehicles, time, and different types of vehi...

Communications - Scientific letters of the University of Zilina, 2022

In the last decades, the Italian road transport system has been characterized by severe and consi... more In the last decades, the Italian road transport system has been characterized by severe and consistent traffic congestion and in particular Rome is one of the Italian cities most affected by this problem. In this study, a LevenbergMarquardt (LM) artificial neural network heuristic model was used to predict the traffic flow of non-autonomous vehicles. Traffic datasets were collected using both inductive loop detectors and video cameras as acquisition systems and selecting some parameters including vehicle speed, time of day, traffic volume and number of vehicles. The model showed a training, test and regression value (R2) of 0.99892, 0.99615 and 0.99714 respectively. The results of this research add to the growing body of literature on traffic flow modelling and help urban planners and traffic managers in terms of the traffic control and the provision of convenient travel routes for pedestrians and motorists.

Journal of Measurements in Engineering, 2021

Difficult-to-machine materials, e.g., Titanium alloys, are highly applicable in diverse industrie... more Difficult-to-machine materials, e.g., Titanium alloys, are highly applicable in diverse industries that yield strength and wear resistance. However, they prove difficult to machine due to high vibration, leading to high cutting forces during the machining process. This vibration occurs from chip discontinuity and thereby leads to high friction between the cutting tool and workpiece. In order to minimize these challenges, lubricants are employed in machining operations to reduce frictional and other unnecessary cutting forces and improve surface finish. This research focuses on studying the nano-lubricant effects in reducing cutting forces in the machining of TI-6AL-4V-ELI alloy. Also, carry out a comparative study of dry, mineral oil, and TiO2 nano-lubricant during face-milling machining for optimal performance. Additionally, the study develops a predictive mathematical model for cutting force using a Taguchi L9 orthogonal array. A two-step approach was employed to develop the nano-...

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications, 2020