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94 articles for “kinetic modeling”
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Development and Assessment of Levetiracetam Microspheres Utilizing Synthetic and Natural Polymers: A Biomedical Engineering Perspective
Abstract: In the present study, comparative study of Levetiracetam loaded microspheres using Ethyl cellulose as synthetic and Sodium alginate as natural polymers was done. Solvent evaporation and ionic gelation technique has been successfully employed to produce Levetiracetam loaded ethyl cellulose and sodium alginate microspheres with optimal drug encapsulation that sustained the drug release over a period of time. Based on the pre-formulation studies E1 to E4 and S1 to S4 batches …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 1–18 Read article
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Study of Stainless Steel’s Properties for Radiation Safety using Artificial Neural Networks
Abstract: Several general components of reactor are made from stainless steel. Most of the container used for storing nuclear waste is made from stainless steel. In this work, an artificial neural networks (ANNs) model is used to improve the properties of stainless steel during its manufacturing process. The main job of ANNs is determining the layer’s thickness and predicting the influence of different parameters on the growth kinetic of the process. …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 31–40 Read article
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Approach to Examine the Effect of Atomic Number on Single – Electron System of Group III Elements
Abstract: This study investigates the ionization energy, kinetic energy, and mass relationships among Group III elements (Boron, Aluminum, Gallium, Indium, and Thallium) to provide a comprehensive understanding of their atomic and physical properties. A detailed analysis of ionization energy trends reveals that Boron exhibits the highest ionization energy, while Thallium has the lowest, consistent with periodic trends influenced by increasing atomic radius and electron shielding. Gallium deviates slightly from this trend …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Adsorption of Methylene Blue Dye from Aqueous Solution Using Polyaniline/Xanthan Gum Nanocomposite: Kinetic and Isotherm Studies
Abstract: ABSTRACTIn the present study, adsorptive properties of polyaniline/xanthan gum nanocomposite were investigated for methylene blue (MB) dye in aqueous solution. The effects of different parameters, namely adsorption time, adsorbent dose, pH and initial dye concentration were on dye adsorption were investigated. The results revealed that a rise se in pH lead to a significant increase in adsorption efficiency. Optimum adsorption time and nanocomposite dose were obtained 60 min and 0.075 …
Published in Journal of Polymer & Composites · Vol. 7, Issue 1, 2019 · pp. 17–26 Read article
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Analysis of Crashworthiness of a Saloon Car Fitted with CNG Cylinder
Abstract: There is an increase in demand for compressed natural gas vehicles in India. Due to the high gasoline prices and lack of electric vehicle infrastructure in India, compressed natural gas vehicles are the only feasible option. This research work focuses on the crashworthiness of a saloon car fitted with a compressed natural gas cylinder under rear-collision conditions. Four different candidate materials of the same thickness are chosen for the cylinder …
Published in Journal of Polymer & Composites Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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MODELING AND SIMULATION OF ESTERIFICATION PROCESS IN REACTIVE DISTILLATION COLUMN USING ASPEN PLUS
Abstract: Abstract: Reactive distillation is a process that combined a chemical reaction and physical separation in a single unit operation. A results is carrying out simulation by using Aspen plus, it is shown in reactive distillation column. In this case, reaction takes place in liquid phase. While solving this type of problem, we have to use thermodynamics property. The boiling point of water is low and iso-amyl acetate having high boiling …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 1, 2018 · pp. 5–9 Read article
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A Parametric Study of Methylene Blue Adsorption Using Low-cost Adsorbent
Abstract: This research focused on the adsorptive capacity of activated carbonaceous substance made from the peel of Spanish cherries to remove methylene blue dye from wastewater. Through batch adsorption tests, the impact of several variables on the percentage of dye removal was examined. These variables included adsorbent preparation temperature, adsorbent dosages, initial concentration of dye solution, process time, pH of dye solution, and operation temperature. It was found that using 1 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 10, Issue 3, 2023 · pp. 10–16 Read article
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A Numerical Analysis of Solar Chimney Power Plant and Study of Parameters Effecting it
Abstract: AbstractA comprehensive theoretical solar chimney power plant (SCPP) model has been introduced to overcome the energy crisis. Numerical simulation performed on the 2-dimensional models of the SCPP. Different numerical models are taken into account by changing the geometrical parameters of the chimney inlet, absorber temperature, and chimney inclination angle and chimney outlet geometry. Air velocity, heat transfer coefficient, pressure, and turbulent kinetic energy are the some parameters taken into account …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 22–42 Read article
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Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a placescattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created anorganized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent ofpreparation of …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a place scattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created an organized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Comparison of Different Models forthe Remediation of Crude Oil Contaminated Clay and Swampy Soil Environment
Abstract: This research was carried out to compare different mathematical models for the determination of best practice or method for remediation of crude oil contaminated clay and swampy soil environment. The results obtained were utilized to calculate the highest specific rates, the disassociation constant, and the kinetic values in terms of first- and second-order kinetics. The use of the Lineweaver Buck plot was taken into consideration for the different reactors, and …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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Future Challenges of Photocatalytic Water Splitting: Sustainability
Abstract: Photocatalytic water splitting has emerged as a promising technology for sustainable hydrogen production through the direct utilization of solar energy. This process mimics natural photosynthesis, using semiconductor materials to absorb light and drive the decomposition of water into hydrogen and oxygen. The method provides a sustainable and eco-friendly solution to the global energy challenge by enabling the reduction of carbon emissions. Among various solar-to-chemical energy conversion approaches, photocatalytic water splitting …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 43–48 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1285–1295 Read article
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Object Tracking Using Finite Element Method and Branching Filter
Abstract: AbstractWe present an approach to robustly track the object behavior that turns over time from a set of input points from a single viewpoint. The distortions considered are caused by applying forces to known Harris function on the object’s surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a finite element method to predict the …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 35–40 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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Improving Photocatalytic and Antibacterial Properties of Zein/Polyvinyl Alcohol Polymer Composite Film by Dispersing TiO2 Nano Particles
Abstract: Zein/polyvinyl alcohol/nano-TiO2 composite film was effectively blended using a solution casting method. Mechanical, photocatalytic, and antibacterial properties of the composite film were evaluated. The breaking elongation of the composite film increased up to the maximum loading of 0.4% of nano-TiO2. The humidity and moisture content relationship was estimated with standard modified models of Halsey, Oswin, Chung Pfost, and Henderson. It was found that the Halsey model was the most suitable …
Published in Journal of Polymer & Composites · Vol. 8, Issue 2, 2020 · pp. 110–127 Read article
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Recent Advances in Atmospheric Physics and Chemistry: Composition, Dynamics, and Impacts
Abstract: The Earth's atmosphere is vital for sustaining life and regulating climate. This review explores key aspects of atmospheric physics and chemistry, including atmospheric composition, the dynamics of greenhouse gases, ozone depletion, and the effects of aerosols and atmospheric pollutants. The interaction between anthropogenic emissions and natural processes, such as the carbon and nitrogen cycles, is crucial for understanding climate feedback mechanisms. The impact of photochemistry on air quality and the …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 5–9 Read article