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298 articles for “rat model”
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Bio-stimulation with Fresh Avocado Seed for Crude Oil Remediation: Experimental and Bio-kinetic Modelling
Abstract: The remediation of crude oil-contaminated soils requires sustainable and cost-effective solutions. This study investigates the performance of fresh avocado seed (Persea americana) as a biostimulant for the remediation of Bonny Light crude oil-contaminated soil from the Kalarugbana community, Niger Delta. A 56-day laboratory-scale experiment was conducted using bioreactors containing 1 kg of soil contaminated with 100 ml of crude oil and treated with different volumes of fresh avocado seed slurry …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 68–76 Read article
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Kinetic Modeling of Biomass Pyrolysis for Renewable Energy Production.
Abstract: Biomass pyrolysis is a promising technology for renewable energy production, offering a sustainable alternative to fossil fuels. This process involves the thermal decomposition of organic materials in the absence of oxygen, resulting in the generation of bio-oil, syngas, and biochar. Kinetic modeling of biomass pyrolysis is essential for optimizing the process and enhancing the yield and quality of the products. This abstract presents a comprehensive review of kinetic models used …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Strain Based Approach to the Fatigue Evolution Modeling of Concrete under Tension-Tension Loading
Abstract: Abstract: Strain based Approach to the Fatigue Evolution Modeling of Concrete under Uniaxial Tension-Tension Loading plays a very important role in the evaluation of the material properties of concrete utilizing strain analysis methods, the nonlinear fatigue strain evolution model is proposed, and the hypothesis of recycle ratio related fatigue strain amplitude causes stiffness degradation and inelastic deformation is briefly described which are the essential material properties of concrete. This paper …
Published in International Journal of Composite Materials and Matrices · Vol. 5, Issue 1, 2019 · pp. 36–56 Read article
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Suitability of Methyldiethanolamine (MDEA) and Piperazine (PZ) for Improving CO2 Absorption Efficiency Using Rotating Packed Bed (RPB) Technology: A Modeling and Simulation Study
Abstract: Carbon dioxide (CO2) capture and storage (CCS) is an essential technology for reducing atmospheric CO2 emissions and mitigating climate change, especially in fossil-fuel power generation. However, the high cost of CCS technologies has hindered their widespread adoption. In this study, we modeled CO2 removal using a rotating packed bed (RPB) technology using Visual Fortran and Aspen Plus software. We made use of a blended amine solution including different molar concentration …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 9–15 Read article
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Predictive Model on Constant Pressure Drop Variable: Area Fluid Flow System in a Pipe
Abstract: The effect of density, pressure drop, and orifice area was examined in this research. The basic equation developed to represent steady-state fluid flow is the Bernoulli equation which assumes that the total mechanical energy is conserved for steady incompressible, in viscid, isotherm flow with no heat transfer or work done. These restrictive conditions can actually be representative of many physical systems. The Bernoulli’s principle was applied in explaining the design …
Published in International Journal of Mechanics and Design · Vol. 4, Issue 1, 2018 · pp. 23–34 Read article
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Effect of Cutting Parameter in Engine Valve Turning Process
Abstract: Engine valve manufacturing involves significant amount of machining during its manufacturing activity. Suitable cooling agents or cutting fluid are used to remove heat produced during cutting operation to maintain machining finish and insert life. Cutting fluids are one of major waste involving cost for disposal and hazard to environment, reduction in their use can play key role to meet stringent environment norms and achieve economic machining. Dry machining is an …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 6, Issue 2, 2020 · pp. 1–6 Read article
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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Environmentally Friendly Green Composites - Latest Developments
Abstract: Composites are one of the most widely used materials because they can adapt to a variety of situations. Other composites include metal matrix composites, nanocomposites, fiber composites, and hybrid composites, and are used in many industries. We are now focusing on creating environmentally friendly composites. Green composites are a special type of biocomposites with the addition of a bio-based polymer matrix. Natural fibers represent an area of polymer research. Green …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 1, 2024 · pp. 32–40 Read article
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Evaluation of BRTS Service Quality Using User Preference
Abstract: India is one of the world’s fastest developing countries, with increased urbanization contributing to a rise in vehicle population in metropolitan areas. This scenario exacerbates several traffic issues such as congestion, air pollution, and decreased safety, necessitating a change in commuters from private to public transportation. In light of this, public transportation’s efficacy and service quality must be improved in order to give a superior alternative to private transportation. Operators …
Published in International Journal of Urban Design · Vol. 5, Issue 2, 2022 · pp. 33–42 Read article
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Combine Effect of Dry and Decomposed Raffia Palm in the Bioremediation of Oil-based Drill Cutting
Abstract: This study determines the effect of dry substrate and decomposed raffia palm for degradation of oil- based drill cuttings bioremediation. The remediation process was effectuated using dry and decomposed raffia palm. The experiment was carried out at the research Centre located at Agricultural and Environmental Engineering departmental workshop in Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulked in eleven reactors with four replications (T1, T2, T3-T11). …
Published in International Journal of Composite Materials and Matrices · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Modeling the Behavior of Metal Corrosion in Aquatic Environments at Varying Depth
Abstract: The failures of engineering structures situated in the aquatic environment caused by corrosion cannot be over-emphasized. This research work addressed the effects of depths, heavy metals, microbial activities, and physiochemical properties of the water body on the corrosion of submerged metal structures in the water body (the water body is assumed flowing). Model techniques were applied to evaluate the relationship between diffusion and weight loss, as well as velocity and …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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FE Modelling and Analysis of Mixed Mode Delamination in Composite Laminates
Abstract: A composite is a structural material that consists of two or more constituents combined at a macroscopic level and not soluble in each other. The advantages of composites over conventional materials are its light weight, high strength, design flexibility, dimensional stability, etc. Although Composite materials are advantageous than conventional materials, there are some defects in composite materials too, which are Fibre-matrix debonding, fibre misalignment, Delamination, Matrix cracking, Impact damage, etc. …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 31–57 Read article
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OPTIMIZATION OF EDM PARAMETERS USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Abstract: Aluminium metal matrix composites are increasing the applications such as automobile industries, aerospace industries ,marine as well as construction. The use of nonconventional machining techniques in shaping aluminum metal matrix composites has generated extensive interest as the manufacturing of complicated contours such as dies. Electrical discharge machining (EDM) tends to be a promising technique for machining metal matrix composites. Hybrid Al6061 composite reinforced with 10% SiC and 4% Graphite particles …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 2, 2015 · pp. 1–9 Read article
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Investigation of Tangential Shear Stress and Frictional Torque Coefficient over a Rotating Disk of the Rotor-Stator System
Abstract: Abstract The study investigates the prediction of tangential shear stress and the frictional torque coefficient over a rotating disk in a rotor-stator system under laminar inward flow conditions. The interaction between the rotating and stationary disks is governed by key parameters, such as volumetric flow rate, rotational speed of the disk, and the axial clearance between the two surfaces. These parameters are expressed in terms of dimensionless quantities, including the …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 6–14 Read article
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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural Network
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article
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Predictive Modelling of a Bioreactor for the Production of Ethanol Using Palmwine
Abstract: This research focuses on the feasibility of biochemical technology with yeast cells (Sacccharomycees cerevisiae) for continuous ethanol production from palm wine. This was carried out in a non-isothermal batch reactor at constant room temperature. 1.5L of palm wine solution was reacted with dry active baker’s yeast until reaction was completed. Biomass, ethanol and glucose concentration were sampled every two hours, and kinetic rate parameters for the fermentation calculated using concentration/time …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 5, Issue 2, 2019 · pp. 1–8 Read article
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Prediction and Assessment of Lateral Displacement of Rock Mass Along the Length of the Horseshoe Cavern – A Numerical Modelling Approach
Abstract: The stability of the underground structures is a key to successful underground mining. Caverns are large underground openings constructed in rock mass for a variety of purposes. The properties of intact rock mass are generally overshadowed by the properties of discontinuities, if the discontinuities are present. Mechanisms of deformation and failure of underground openings in jointed rock mass are determined by the characteristics of the geometrical distribution of discontinuities. This …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 1, 2017 · pp. 17–28 Read article
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Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
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High-rate Deformation of Condensed Matter Followed by Self-Organization on the Mesoscale
Abstract: The purpose of the paper is to demonstrate the advantages of the developed self-consistent non-local approach to the description of processes in condensed matter far from local thermodynamic equilibrium and new opportunities for understanding and practical use of such phenomena as self-organization, multi-scale energy exchange and turbulence. This interdisciplinary approach, based on rigorous results obtained in non-equilibrium statistical mechanics with the use of feedback control laws, offers a universal mathematical …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 8, Issue 2, 2022 · pp. 13–38 Read article
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Study of the Effect of SLS Loading on the One-Pot Synthesis of Substituted Piperidines
Abstract: Piperidine derivatives represent a vital class of nitrogen-containing heterocycles with extensive pharmacological and industrial significance. Their synthesis has garnered considerable interest due to their presence in numerous bioactive molecules, including drugs with CNS activity, analgesic properties, and antimicrobial effects. Traditional multi-step synthetic pathways are often time-consuming and resource-intensive. To address this, one-pot multicomponent reactions (MCRs) have emerged as an efficient and eco-friendly alternative, allowing for the rapid construction of complex …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article