Chemical Engineering Commons^™

Using Of Parametric Nonlinear Lc-Circuits In Stabilized Transducers Of The Number Of Phases, Ivan Mikhaylovich Bedritsky, Kamila Komilovna Jurayeva, Laziz Kholboboyevich Bozorov

Chemical Technology, Control and Management

The use of nonlinear circuits of an autoparametric nature with inductive and capacitive elements for obtaining the necessary phase shifts in single-phase-three-phase converters is considered. The amplitude-phase relations between the stresses of windings located on different rods of a three-core core are obtained. The conditions under which it is possible to stabilize the stresses of the artificial phases of the Converter, as well as the phase shifts between them, are shown.

Synergetic Control Of Nonlinear Dynamic Objects, Isomiddin Siddikov, Komil Usmanov, Noilakhon Yakubova

Chemical Technology, Control and Management

Considers the synthesis of effective control algorithms for a chemical reactor, which is the main one in the production of butyl alcohol. The method based on synergetic approach for transferring the apparatus from one capacity to another (specified) maintaining the required quality of the target component is proposed in order to ensure the stabilization of the concentration of target component at the outlet of the reactor under the conditions of uncertain disturbances affecting to an object. A mathematical model of the process based on a stoichiometric matrix taking into account the physicochemical properties of the process is developed. The control …

Application Of A Convolutional Neural Networks For Images Recognition, Avazjon Rakhimovich Marakhimov, Lyudmila Petrovna Varlamova

Chemical Technology, Control and Management

In the problems of image recognition, various approaches used when the image is noisy and there is a small sample of observations. The paper discusses nonparametric recognition methods and methods based on deep neural networks. This neural network allows you to collapse images, to perform downsampling as many times as necessary. Moreover, the image recognition speed is quite high, and the data dimension is reduced by using convolutional layers. One of the most important elements of the application of convolutional neural networks is training. The article gives the results of work on the application of convolutional neural networks. The work …

Smart Drugs:Improving Healthcare Using Smart Pill Box For Medicine Reminder And Monitoring System, Diaa Salama Abdul Minaam, Mohamed Abd-Elfattah

Future Computing and Informatics Journal

Many medical errors are due to the fact that people in charge of patient or elder's medication have to deal with sorting huge amounts of pills each day. This paper consists on the conception, design and creation of a pillbox prototype intended to solve this deficiency in the medical area as it has the ability of sorting out the pills by itself as well as many other advanced features, with this device being intended to be used by hospitals or retirement homes. This medication pill box is focused on patients who frequently take medications or vitamin supplements, or attendants who …

Metabolic Network Analysis Of Filamentous Cyanobacteria, Daniel Alexis Norena-Caro

LSU Doctoral Dissertations

Cyanobacteria were the first organisms to use oxygenic photosynthesis, converting CO₂ into useful organic chemicals. However, the chemical industry has historically relied on fossil raw materials to produce organic precursors, which has contributed to global warming. Thus, cyanobacteria have emerged as sustainable stakeholders for biotechnological production. The filamentous cyanobacterium Anabaena sp. UTEX 2576 can metabolize multiple sources of Nitrogen and was studied as a platform for biotechnological production of high-value chemicals (i.e., pigments, antioxidants, vitamins and secondary metabolites). From a Chemical engineering perspective, the biomass generation in this organism was thoroughly studied by interpreting the cell as a microbial …

Data-Driven Modeling And Prediction For Reservoir Characterization And Simulation Using Seismic And Petrophysical Data Analyses, Xu Zhou

LSU Doctoral Dissertations

This study explores the application of data-driven modeling and prediction in reservoir characterization and simulation using seismic and petrophysical data analyses. Different aspects of the application of data-driven modeling methods are studied, which include rock facies classification, seismic attribute analyses, petrophysical properties prediction, seismic facies segmentation, and reservoir dimension reduction.

The application of using petrophysical well logs to predict rock facies is explored using different data analytics methods including decision tree, random forest, support vector machine and neural network. Different models are trained from a set of well logs and pre-interpreted rock facies data. Among the compared methods, the random …

Probing Counterion Condensation Phenomena In Nanostructured Thin Film Block Copolymer And Random Copolymer Electrolytes, Qi Lei

LSU Doctoral Dissertations

This dissertation describes advanced metrology and molecular dynamics simulations for quantifying counterion condensation in block copolymer electrolyte thin films. The fraction of condensed counterions (f_c) were quantified in nanostructured block copolymer electrolyte (BCE) and random copolymer electrolyte (RCE) thin films with new and established experimental techniques. The transition between the osmotic-controlled regime and condensation-controlled regime in BCEs and RCEs was identified using solution uptake measurements via a quartz crystal microbalance (QCM) and environmental grazing incidence small-angle x-ray scattering (GI-SAXS). The activity coefficients of ions in thin film were quantified experimentally and these values matched predictions from Manning’s Theory …

Synthesis And Evaluation Of Catalytic Application Of Porous Resin, Mahboubeh Nabavinia

Theses and Dissertations

The abilities to tailor catalytic functional groups and chemical characteristics onto a robust polymer structure make mesoporous phenolic resins great candidates for catalytic support applications. The use of a template synthesis method for configuring a catalytic structure is neither commercially nor environmentally friendly. In this Ph.D. thesis, new one-pot template-free methods for synthesizing mesoporous metal-doped phenol-formaldehyderesin were developed. The methods facilitate scaling for industrial catalytic applications in pharmaceutical, environmental, and medical applications. Heterogeneous palladium centered catalytic mesoporous structures were synthesized by a single-stage template-free method. BET adsorption measurements, SEM, EDX, XPS, and TEM were used to study the surface area, …

Copper Electrodeposition From Deep Eutectic Solvents —Voltammetric Studies Providing Insights Into The Role Of Substrate: Platinum Vs Glassy Carbon, Rohan Akolkar

Faculty Scholarship

We report on the effect of the substrate on electrochemical deposition of Cu from deep eutectic solvent ethaline. We investigated the polarization behavior during electrodeposition of Cu on Pt and glassy carbon (GC) from both Cu2+ and Cu+ containing ethaline using cyclic voltammetry (CV). Formation of bulk Cu deposits on both substrates underwent nucleation and growth processes; however, the nucleation was considerably sluggish on GC compared to Pt. While experiments in Cu+ solutions indicated that coalescence of Cu islands on Pt is a slow process and that its surface may not be fully covered by Cu, such determination of Cu …

Water Purification Device And A Method Of Decontaminating A Water Supply, Dibakar Bhattacharyya, Li Xiao

Chemical and Materials Engineering Faculty Patents

A water purification device is provided in the form of a hydrogel matrix containing immobilized nanoparticles that are directly synthesized in-situ in the hydrogel matrix. The hydrogel matrix is temperature sensitive, such that swelling draws in pollutants that are captured by the nanoparticles, while deswelling releases purified water. A related method of decontaminating the water supply contaminated with a target pollutant is also disclosed.

Catalytic Esterification Of Palm-Based Lauric Acid Diethylene Glycol Via Microwave Heating, Abas Noor Azeerah

Student Works (2020-2029)

Diethylene glycol esters of fatty acids are mixtures of diethylene glycol mono- and di-esters of saturated and unsaturated fatty acids derived from edible oils and fats. The products are produced either by direct esterification of diethylene glycol with fatty acids or by transesterification of diethylene glycol with oils or fats. This study involved in maximizing the conversion of lauric acid to glycol ester via esterification with diethylene glycol, aided by calcined Zn-Mg-Al catalyst in a 250-ml reactor using both conventional and microwave heating. Preliminary catalytic screening involving tin (II) oxalate, Amberlyst-15 and calcined Zn-Mg-Al catalysts in esterification of lauric acid …

Analysis And Optimization Of Colorimetric Nanosensors For Rapid Detection Of Microbes In Water, Ruby A. Lang

Master's Theses

Access to safe water is a basic human right recognized by the United Nations General Assembly in 2010 (WHO, 2020). However, a least 2.2 billion people globally still are without safely managed water services meaning they use a drinking water source that can be contaminated with faeces (WHO, 2020). With such a pressing global health issue, it is clear that improvement to water systems is important and required in the Agenda 2030 Sustainable Development Goals (SDGs). However, to improve water systems and prove they are safe water sources, water quality testing must occur. A solution to this issue is the …

A Review Of The Latest Insights Into The Mechanism Of Action Of Strontium In Bone, Daniella Marx, Alireza Rahimnejad Yazdi, Marcello Papini, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Interest in strontium (Sr) has persisted over the last three decades due to its unique mechanism of action: it simultaneously promotes osteoblast function and inhibits osteoclast function. While this mechanism of action is strongly supported by in vitro studies and small animal trials, recent large-scale clinical trials have demonstrated that orally administered strontium ranelate (SrRan) may have no anabolic effect on bone formation in humans. Yet, there is a strong correlation between Sr accumulation in bone and reduced fracture risk in post-menopausal women, suggesting Sr acts via a purely physiochemical mechanism to enhance bone strength. Conversely, the local administration of …

The Role Of Poly(Methyl Methacrylate) In Management Of Bone Loss And Infection In Revision Total Knee Arthroplasty: A Review, Leyla Hasandoost, Omar Rodriguez, Adel Alhalawani, Paul Zalzal, Emil H. Schemitsch, Stephen D. Waldman, Marcello Papini, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Poly (methyl methacrylate) (PMMA) is widely used in joint arthroplasty to secure an implant to the host bone. Complications including fracture, bone loss and infection might cause failure of total knee arthroplasty (TKA), resulting in the need for revision total knee arthroplasty (rTKA). The goals of this paper are: (1) to identify the most common complications, outside of sepsis, arising from the application of PMMA following rTKA, (2) to discuss the current applications and drawbacks of employing PMMA in managing bone loss, (3) to review the role of PMMA in addressing bone infection following complications in rTKA. Papers published between …

Designing Metal-Organic Frameworks For Natural Gas Storage And Delivery, Labeeb Mohammed Ali

Chemical and Petroleum Engineering Theses

Natural gas is major resource in UAE, constitute about 90% methane and as compared to other fossil fuels, it is more environmentally friendly. Energy demand from natural gas can be projected to exceed two hundred exajoules per year in 2040. In the UAE, many natural gas filling stations are already built for utilizing natural gas as a vehicle transportation fuel where these materials have potential applications to store and deliver this fuel. This research aims to study various kinds of Metal-Organic Frameworks, and to investigate adsorption properties for the storage of natural gas and its delivery. MOFs possess porous material …

Semi-Lagrangian Implicit Bhatnagar-Gross-Krook Collision Model For The Finite-Volume Discrete Boltzmann Method, Leitao Chen, Sauro Succi, Xiaofeng Cai, Laura Schaefer

Publications

In order to increase the accuracy of temporal solutions, reduce the computational cost of time marching, and improve the stability associated with collisions for the finite-volume discrete Boltzmann method, an advanced implicit Bhatnagar-Gross-Krook (BGK) collision model using a semi-Lagrangian approach is proposed in this paper. Unlike existing models, in which the implicit BGK collision is resolved either by a temporal extrapolation or by a variable transformation, the proposed model removes the implicitness by tracing the particle distribution functions (PDFs) back in time along their characteristic paths during the collision process. An interpolation scheme is needed to evaluate the PDFs at …

Flow Of Carbon Dioxide In Micro And Nano Pores And Its Interaction With Crude Oil To Induce Asphaltene Instability, Sherif Fakher, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This study presents an investigation of the flow mechanism of carbon dioxide (CO₂) through nano and micro pores and the impact of this flow on oil mobilization and asphaltene instability in the crude oil. The flow mechanism of CO₂ is determined using numerical modeling through the Knudsen number to determine the flow regimes under different thermodynamic conditions. Following this, the oil production and asphaltene stability are studied using a filtration vessel supplemented with nano and micron sized filter membranes. The effect of varying CO₂ injection pressure, oil viscosity, porous media pore size, and porous media thickness …

An Experimental Investigation Of Asphaltene Stability In Heavy Crude Oil During Carbon Dioxide Injection, Sherif Fakher, Mohamed Ahdaya, Mukhtar Elturki, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Carbon dioxide (CO₂) injection is one of the most applied enhanced oil recovery methods in the hydrocarbon industry, since it has the potential to increase oil recovery significantly and can help reduce greenhouse gases through carbon storage in hydrocarbon reservoirs. Carbon dioxide injection has a severe drawback, however, since it induces asphaltene precipitation by disrupting the asphaltene stability in crude oil that bears even the slightest asphaltene concentration. This can result in severe operational problems, such as reservoir pore plugging and wellbore plugging. This research investigates some of the main factors that impact asphaltene stability in crude oil …

Effects Of New And Recycle Flux On The Mechanical Properties Of Submerged Arc Welded (Saw) Line Pipe Grade X52m And X65m, Taib Meor Mohd Adli

Student Works (2020-2029)

Two line pipe grade X52M and X65M were manufactured using submerged arc welding process. For each grade, two different welding flux condition were simulated, i.e. 100% new flux and 100% recycle flux. The flux used was aluminate basic type trade name OP 132. The outside diameter and wall thickness for X52M was 610mm x 12.7mm and for X65M was 762mm x 14.3mm. Lower weld re-entrant angle and higher weld bead height were observed in recycle flux condition. Lower weld manganese content recorded in recycle flux condition. And lower mechanical tests (i.e. tensile, impact, and hardness) value reported for recycle flux …

Synthesis Of Eco-Friendly Nanofluids For Enhancement Of Heat Transfer And Application In Different Flow Configuration Passages, Khan Asif

Student Works (2020-2029)

Since the invention of the heat exchangers, the working fluids such as water, ethyl glycol, oil and many others were used, however, they reveal relatively low thermal conductivity. Eco-friendly nanofluids and the cost-effective annular heat exchangers were introduced in this research to overcome the problem. In the present work, heat transfer coefficient and friction loss analyses of (TiO2 and GNP) water-based nanofluids were compared with DI-water flowing in annular conduit under turbulent flow regime. The nanoparticle weight concentrations of 0.1, 0.075, 0.05 and 0.025 wt.% were prepared by using a simple two-step method. The DI-water simulations were conducted by using …