A5022319936- Anaerobic Digestion and Biogas Production
- Spectroscopy and Chemometric Analyses
- Biodiesel Production and Applications
- Advanced Control Systems Optimization
- Biofuel production and bioconversion
- Process Optimization and Integration
- Advanced Control Systems Design
- Fuzzy Logic and Control Systems
- Hydraulic and Pneumatic Systems
- Lubricants and Their Additives
- Chromatography in Natural Products
- Seed and Plant Biochemistry
- Water Quality Monitoring Technologies
- Water Systems and Optimization
- Food composition and properties
- Catalysis and Hydrodesulfurization Studies
- Phosphorus and nutrient management
- Potato Plant Research
- Food and Agricultural Sciences
- Garlic and Onion Studies
- Water-Energy-Food Nexus Studies
- Industrial Automation and Control Systems
- Fuzzy Systems and Optimization
- Membrane Separation Technologies
- Water Quality Monitoring and Analysis
Obafemi Awolowo University
2021-2023
Adekunle Ajasin University
2023
Ekiti State University
2023
Ladoke Akintola University of Technology
2018-2020
Allium Sativum L. (ASL) extract is one of the medicinal and aromatic products used in pharmaceutical, food, cosmetic perfumery industries. The scientific literature bibliography regarding process scale-up simulation techno-economics phenolic from ASL Microwave-Assisted Extraction (MAE) seldom reported. This study presented optimization recovery extraction. Box-benken design extraction experiment was conducted at irradiation power (520 W – 1040 W), time (2- 10 min) solid-liquid ratio (0.4 1...
Palm kernel oil (PKO) is one of the promising starting materials for biodiesel production. Economic viability large-scale production from PKO happens to be major challenge, as investors would like know overall cost-benefit value before making decisions. Therefore, this study develops artificial intelligence (AI) techno-economic models predicting which will provide fundamental investment decisions potential investors. The two AI techniques used in were neural networks (ANN) and adaptive...
Previous investigations reported evaluation of biological, therapeutic and pharmacological activities phenolic bioactive extract from Huntaria Umbellate Seed (HUS). However, process modelling optimization, upscaling as well techno-economic Microwave-Assisted Extraction (MAE) HUS are seldom documented in the literature. Therefore, this study presents black-box modelling, optimization techno-economics MAE HUS. Box-Behken Design (BBD) Response Surface Methodology (RSM) was applied for...
Abstract Vegetable oils are a crucial source of raw materials for many industries. In order to meet the rising demand oil on global scale, it has become essential investigate underutilized plant oilseeds. Hura crepitans seeds one underused oilseeds from which can be produced via solvent-based extraction. For purpose predicting yield seeds, extraction process was modelled using nonlinear autoregressive exogenous neural network (NARX-NN). The input variables model seed/solvent ratio,...
Abstract Kokoro as a broadly acknowledge maize snack is being consumed every day by both the children and grown-ups, but it characterized low protein content required for survival. The blending of flour (MF), sesame (SF) moringa (mF) to enhance nutritional values kokoro was optimize with response surface technique (RSM) artificial neural network (ANN). MF, SF mF were mixed at diverse proportion optimal ratio gotten using D-optimal design method. carbohydrate actual contents compared their...
Abstract Biodiesel has been seen as an alternative to diesel (fossil) fuel a result of its favourable properties, energy security reasons and environmental benefits. In this research, transesterification sandbox seed oil with ethanol form biodiesel modelled using artificial neural network (ANN) adaptive neuro-fuzzy inference system (ANFIS) techniques. Temperature ( o C), time (min.), catalyst concentration (w/w) type (g) were used input variables while yield was output variable for modelling...
Filtration process uses membrane to separate solid components in a liquid suspension based on their size differences. However, the is characterised with dynamic variability and uncertainty which makes its control difficult whenever linear-based scheme such as conventional proportional integral derivative (PID) employed. Therefore, this work aimed design adaptive controllers using fuzzy inference system accommodate both filtration process. Experimental study was carried out batch unit where...
Filtration process uses membrane to separate solid components in a liquid suspension based on their size differences. However, the is characterised with dynamic variability and uncertainty which makes its control difficult whenever linear-based scheme such as conventional proportional integral derivative (PID) employed. Therefore, this work aimed design adaptive controllers using fuzzy inference system accommodate both filtration process. Experimental study was carried out batch unit where...
Fractionators are characterised by high nonlinear dynamic behaviour, strong loop interactions and model uncertainties. Relative gain array (RGA) was used to determine the level of interaction. Dynamic decoupler remove which were obtained using feed-forward design technique. A feedback control system is designed for decoupled plant Ziegler-Nichols tuned proportional integral (PI) controller. genetic reference adaptive controller (GMRAC) fractionator a second order adaptation mechanism based...
Fractionators are characterised by high nonlinear dynamic behaviour, strong loop interactions and model uncertainties. Relative gain array (RGA) was used to determine the level of interaction. Dynamic decoupler remove which were obtained using feed-forward design technique. A feedback control system is designed for decoupled plant Ziegler-Nichols tuned proportional integral (PI) controller. genetic reference adaptive controller (GMRAC) fractionator a second order adaptation mechanism based...
Development of black-box model for filtration process has been carried out in this work. Data needed the development was obtained through experimental study on unit using aqueous calcium carbonate (CaCO3) slurry. The input and output data generated from experiment consisted one manipulated variable (feed pressure, Pr), disturbance (concentration solute feed, CA0) controlled (suspension concentration, CA). were used to develop a fuzzy-based autoregressive integrated moving average exogenous...