This document discusses various types of molecular diffusion and flux. It begins by defining Fick's law of diffusion and describing how molecular flux occurs from regions of high concentration to low concentration. It then provides several examples of evaluating molar flux in different systems and conditions, including: equimolar countercurrent diffusion, dilute concentrations, diffusion through a stagnant gas, axial diffusion neglected with forced convection, and Knudsen diffusion. The document also discusses relationships between mass, molar, and volumetric fluxes and how fluxes change based on the reference frame. It concludes by introducing macroscopic and microscopic approaches to formulating mass transfer models.
1. Reynolds transport theorem relates the rate of change of a property within a control volume to the rate of change of the property convected with a moving fluid plus the net flux of the property entering and leaving the control volume.
2. The continuity equation states that for a fixed mass of fluid, the net mass flow entering and leaving a control volume is zero. For steady one-dimensional flow, the mass flow rate is constant.
3. The momentum equation equates the net external forces on a control volume to the rate of change of momentum entering and leaving the control volume. For steady one-dimensional flow, the momentum flow rate is constant.
This document discusses fundamentals of mass transfer. It begins by explaining that mass transfer occurs due to concentration or chemical potential differences within a system, in order to minimize these differences. It then provides equations to describe molecular mass transfer for binary mixtures, relating molar and mass fluxes to concentration gradients, diffusion coefficients, and bulk flow. Several examples are also provided to demonstrate calculations of mass transfer rates.
1. This document describes various types of ideal fluid flow, including uniform flow, source/sink flow, vortex flow, and combinations of different flows.
2. Special cases of flow geometry allow the stream function ψ to be related to the distance n along a path between streamlines by ψ = wn. Examples include uniform flow in the x-direction and uniform flow from a line source.
3. Combining different flow types allows modeling of more complex scenarios. A doublet represents a close source-sink pair, and combining it with uniform flow models flow around a cylinder.
Navier stokes equation in coordinates binormal, tangent and normalCarlos López
The Navier-Stokes problem is a very important set of partial differential equations for analyzing fluids into the context
of the motion of fluid substances. There is no a general analytical solution related to complex fields of velocity vector
푢(푋, 푡)
, wherein the position vector is given by 푋 = (푥, 푦. 푧) and 푡 is the time variable, but there are some few solutions
associated to the simple velocity vector and the pressure 푃(푋, 푡) experienced by the fluid. However, these simple
models are not sufficient to predict the dynamic of Newtonian fluids in general. On this article is proposed an
interesting mathematical model to represent easily the equations of Navier Stokes in a TNB frame system which let
optimize the task of modeling complex equations from a Cartesian coordinate system and reducing them to a set of
equations less complex in a TNB frame whose perspective is going to be truly interesting from the physical problem.
16 concentration distributions in solids and laminar flowAnees43
This lecture was delivered by Hafiz Anees Rehman at Quaid-Awam-University, Nawab Shah Pakistan for Transport Phenomenon course. It includes: Diffusion, Stagnant, Gas, Liquid, Film,Law, Mass, Transfer, Molar, Concentrations
Study of different flows over typical bodies by FluentRajibul Alam
This document summarizes numerical simulations of inviscid and viscous flows over wedges and flat plates. For inviscid flow over a wedge, the governing equations are presented and solved analytically and numerically for Mach numbers of 3 and 5. Numerical solutions match analytical results closely after mesh refinement. For viscous flow over a flat plate, the boundary layer equations are derived and Blasius' analytical solution is summarized, providing the velocity profile as a function of similarity variable.
1. Reynolds transport theorem relates the rate of change of a property within a control volume to the rate of change of the property convected with a moving fluid plus the net flux of the property entering and leaving the control volume.
2. The continuity equation states that for a fixed mass of fluid, the net mass flow entering and leaving a control volume is zero. For steady one-dimensional flow, the mass flow rate is constant.
3. The momentum equation equates the net external forces on a control volume to the rate of change of momentum entering and leaving the control volume. For steady one-dimensional flow, the momentum flow rate is constant.
This document discusses fundamentals of mass transfer. It begins by explaining that mass transfer occurs due to concentration or chemical potential differences within a system, in order to minimize these differences. It then provides equations to describe molecular mass transfer for binary mixtures, relating molar and mass fluxes to concentration gradients, diffusion coefficients, and bulk flow. Several examples are also provided to demonstrate calculations of mass transfer rates.
1. This document describes various types of ideal fluid flow, including uniform flow, source/sink flow, vortex flow, and combinations of different flows.
2. Special cases of flow geometry allow the stream function ψ to be related to the distance n along a path between streamlines by ψ = wn. Examples include uniform flow in the x-direction and uniform flow from a line source.
3. Combining different flow types allows modeling of more complex scenarios. A doublet represents a close source-sink pair, and combining it with uniform flow models flow around a cylinder.
Navier stokes equation in coordinates binormal, tangent and normalCarlos López
The Navier-Stokes problem is a very important set of partial differential equations for analyzing fluids into the context
of the motion of fluid substances. There is no a general analytical solution related to complex fields of velocity vector
푢(푋, 푡)
, wherein the position vector is given by 푋 = (푥, 푦. 푧) and 푡 is the time variable, but there are some few solutions
associated to the simple velocity vector and the pressure 푃(푋, 푡) experienced by the fluid. However, these simple
models are not sufficient to predict the dynamic of Newtonian fluids in general. On this article is proposed an
interesting mathematical model to represent easily the equations of Navier Stokes in a TNB frame system which let
optimize the task of modeling complex equations from a Cartesian coordinate system and reducing them to a set of
equations less complex in a TNB frame whose perspective is going to be truly interesting from the physical problem.
16 concentration distributions in solids and laminar flowAnees43
This lecture was delivered by Hafiz Anees Rehman at Quaid-Awam-University, Nawab Shah Pakistan for Transport Phenomenon course. It includes: Diffusion, Stagnant, Gas, Liquid, Film,Law, Mass, Transfer, Molar, Concentrations
Study of different flows over typical bodies by FluentRajibul Alam
This document summarizes numerical simulations of inviscid and viscous flows over wedges and flat plates. For inviscid flow over a wedge, the governing equations are presented and solved analytically and numerically for Mach numbers of 3 and 5. Numerical solutions match analytical results closely after mesh refinement. For viscous flow over a flat plate, the boundary layer equations are derived and Blasius' analytical solution is summarized, providing the velocity profile as a function of similarity variable.
This document discusses linear wave theory and the governing equations for water wave mechanics. It introduces key wave parameters like amplitude, height, wavelength, frequency, period, and phase speed. It then covers the linearized equations of motion, including continuity, irrotationality, and the time-dependent Bernoulli equation. Boundary conditions at the bed and free-surface are also presented, including the kinematic and dynamic free-surface boundary conditions. The linearized equations and boundary conditions form the basis for solving for the velocity potential using separation of variables.
Computational fluid dynamics (CFD) uses numerical methods and algorithms to solve and analyze fluid flow problems. CFD allows for the analysis of systems with complex geometries and fluid behavior by discretizing the fluid domain and solving the governing equations. The goal of CFD is to replace differential conservation equations with algebraic approximations that can be solved using numerical techniques on a computational grid. CFD simulations require discretizing the flow field, discretizing equations of motion, and solving the resulting algebraic equations to determine variable values at grid nodes.
The document provides mathematical derivations of key concepts in fluid dynamics, including:
1) Definitions of hyperbolic functions like sinh, cosh, and tanh and their basic properties.
2) The fundamental fluid flow equations - continuity, irrotationality/use of a velocity potential, and the time-dependent Bernoulli equation - that are used to model wave behavior.
3) The derivation of the wave field and dispersion relationship by applying Laplace's equation, kinematic and dynamic boundary conditions, and making linear approximations to obtain solutions for a sinusoidal wave.
This document provides an introduction to the concepts covered in the course EC 8451 - Electromagnetic Fields. It begins with an overview of the electromagnetic model and defining the basic quantities used, including electric charge, current density, and the four fundamental field quantities. It then reviews key concepts in vector algebra and describes the rectangular, cylindrical, and spherical coordinate systems. The remainder of the document provides more details on units and constants, vector operations, and the Cartesian and cylindrical coordinate systems.
The document presents several models for predicting the drag force on particles, droplets, and bubbles in dispersed two-phase flows at high volume fractions. It reviews existing models, which include friction factor, drift flux, drag coefficient multiplier, and mixture viscosity approaches. The document then proposes new correlations to predict the influence of volume fraction on drag force. The new correlations express the drag coefficient as a function of volume fraction that approaches unity as volume fraction approaches zero. Experimental data for various systems are presented to validate the new correlations and compare the performance of different models.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
here is the video for an explanation of this slide ▶ https://youtu.be/QtuhyQ7grWA
Fluid dynamics describes the flow of fluids. Here, we learn about Bernoulli's equation, impulse-momentum equation, venturi meter, orifice meter and so on. This slide is focused for examination purposes, what are all the questions and relevant concepts that can be expected in exams like GATE, ESE, PSUs
1) This document discusses isentropic flow, including governing equations, stagnation relations, effects of area variation, nozzles, diffusers, and the effect of back pressure.
2) Key concepts covered are stagnation temperature, pressure and properties, how Mach number relates stagnation and static quantities, and how pressure and area change with Mach number in converging and diverging ducts.
3) Examples provided include calculating stagnation properties from flow conditions and sketching the steady flow adiabatic ellipse.
This document discusses convective mass transfer and mass transfer coefficients. It defines convective mass transfer as the rapid transfer of mass that occurs when there is motion in the transfer medium compared to the slower process of molecular diffusion. Mass transfer coefficients are introduced to simplify calculations of mass transfer rates. Different types of mass transfer coefficients are presented based on whether they are used for gases or liquids, and whether they are expressed in terms of concentrations, mole fractions, or partial pressures. Approximations for typical values of mass transfer coefficients in gas and liquid phases are provided.
Fluid mechanics - Motion of Fluid Particles and StreamViraj Patel
- Fluid mechanics is the study of fluid motion and the forces acting on fluids. This includes fluid kinematics, which is the study of fluid motion without considering forces.
- There are different frames of reference to describe fluid motion - Lagrangian refers to individual fluid particles, Eulerian refers to fixed points in space.
- Fluid flow can be classified as steady or unsteady, uniform or non-uniform, laminar or turbulent. The continuity equation expresses conservation of mass and relates flow properties between different flow sections.
mass transfer for metallurgy, chemical, mechanical departmentvasundharasingh70
This document provides an overview of mass transfer and diffusion. It begins with definitions of mass transfer and examples of mass transfer processes. It then covers various topics related to mass transfer, including:
- Classification of mass transfer operations based on the phases in contact
- Mechanisms of convective and diffusive mass transfer
- The mass transfer coefficient and different types of mass transfer coefficients
- Dimensionless groups used in mass transfer like the Sherwood number
- Theories of mass transfer including the film theory and penetration theory
It provides explanations of key concepts in mass transfer and diffusion, along with relevant equations. The document serves as a reference for various fundamental aspects of mass transfer.
This document provides an overview of mass transfer and diffusion. It begins with definitions of mass transfer and examples of mass transfer processes. It then discusses various topics related to mass transfer, including:
- Classification of mass transfer operations based on the phases in contact
- Mechanisms of convective and diffusive mass transfer
- The mass transfer coefficient and different types of mass transfer coefficients
- Dimensionless groups used in mass transfer like the Sherwood number
- Theories of mass transfer including the film theory and penetration theory
It provides explanations of key concepts in mass transfer and diffusion, along with relevant equations. The document serves as a reference for various fundamental aspects of mass transfer.
This document discusses the application of vector integration in various domains. It begins by defining vector calculus concepts like del, gradient, curl, and divergence. It then presents several theorems of vector integration. Next, it explains how vector integration can be used to find the rate of change of fluid mass and analyze fluid circulation, vorticity, and the Bjerknes Circulation Theorem regarding sea breezes. It also discusses using vector calculus concepts in electricity and magnetism.
Slides for the eLearning course Separation and purification processes in biorefineries (https://open-learn.xamk.fi) in IMPRESS project (https://www.spire2030.eu/impress).
Section: Mass transfer processes
Subject: 2.2 Molecular diffusion
1. The document discusses vector calculus concepts including the gradient, divergence, curl, and theorems relating integrals.
2. It defines the curl of a vector field A as the maximum circulation of A per unit area and provides expressions for curl in Cartesian, cylindrical and spherical coordinates.
3. Stokes's theorem is described as relating a line integral around a closed path to a surface integral of the curl over the enclosed surface, allowing transformation between different integral types.
The document discusses reflection and transmission of mechanical waves at discontinuities in materials. It explains that waves can be reflected, transmitted, or absorbed depending on whether the wave's frequency matches the object's natural vibration frequencies. Reflection occurs if vibrations are not passed through the material, while transmission occurs if vibrations pass through. The document then applies these concepts to analyze reflection and transmission of pressure waves in arteries at locations where properties change, like narrowing, widening, or bifurcations into branches. Mathematical formulas are presented to calculate reflection and transmission coefficients at such discontinuities.
This document discusses fundamentals of alternating current (AC) circuits. It defines AC as a current that reverses direction periodically and explains why AC generation is used rather than direct current. The key concepts covered include sinusoidal waveforms, definitions of maximum, average and effective values, phasor representation, and voltage/current relationships in resistive, inductive and capacitive circuits. Formulas are provided for impedance, conductance, susceptance and admittance.
Aerodynamics Part II of 3 describes aerodynamics of bodies in supersonic flight.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
The Effect of Bottom Sediment Transport on Wave Set-Upijceronline
In this paper we augment the wave-averaged mean field equations commonly used to describe wave set-up and wave-induced mean currents in the near-shore zone, with an empirical sediment flux law depending only on the wave-induced mean current and mean total depth. This model allows the bottom to evolve slowly in time, and is used to examine how sediment transport affects wave set-up in the surf zone. We show that the mean bottom depth in the surf zone evolves according to a simple wave equation, whose solution predicts that the mean bottom depth decreases and the beach is replenished. Further, we show that if the sediment flux law also allows for a diffusive dependence on the beach slope then the simple wave equation is replaced by a nonlinear diffusion equation which allows a steady-state solution, the equilibrium beach profile
This document discusses linear wave theory and the governing equations for water wave mechanics. It introduces key wave parameters like amplitude, height, wavelength, frequency, period, and phase speed. It then covers the linearized equations of motion, including continuity, irrotationality, and the time-dependent Bernoulli equation. Boundary conditions at the bed and free-surface are also presented, including the kinematic and dynamic free-surface boundary conditions. The linearized equations and boundary conditions form the basis for solving for the velocity potential using separation of variables.
Computational fluid dynamics (CFD) uses numerical methods and algorithms to solve and analyze fluid flow problems. CFD allows for the analysis of systems with complex geometries and fluid behavior by discretizing the fluid domain and solving the governing equations. The goal of CFD is to replace differential conservation equations with algebraic approximations that can be solved using numerical techniques on a computational grid. CFD simulations require discretizing the flow field, discretizing equations of motion, and solving the resulting algebraic equations to determine variable values at grid nodes.
The document provides mathematical derivations of key concepts in fluid dynamics, including:
1) Definitions of hyperbolic functions like sinh, cosh, and tanh and their basic properties.
2) The fundamental fluid flow equations - continuity, irrotationality/use of a velocity potential, and the time-dependent Bernoulli equation - that are used to model wave behavior.
3) The derivation of the wave field and dispersion relationship by applying Laplace's equation, kinematic and dynamic boundary conditions, and making linear approximations to obtain solutions for a sinusoidal wave.
This document provides an introduction to the concepts covered in the course EC 8451 - Electromagnetic Fields. It begins with an overview of the electromagnetic model and defining the basic quantities used, including electric charge, current density, and the four fundamental field quantities. It then reviews key concepts in vector algebra and describes the rectangular, cylindrical, and spherical coordinate systems. The remainder of the document provides more details on units and constants, vector operations, and the Cartesian and cylindrical coordinate systems.
The document presents several models for predicting the drag force on particles, droplets, and bubbles in dispersed two-phase flows at high volume fractions. It reviews existing models, which include friction factor, drift flux, drag coefficient multiplier, and mixture viscosity approaches. The document then proposes new correlations to predict the influence of volume fraction on drag force. The new correlations express the drag coefficient as a function of volume fraction that approaches unity as volume fraction approaches zero. Experimental data for various systems are presented to validate the new correlations and compare the performance of different models.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
here is the video for an explanation of this slide ▶ https://youtu.be/QtuhyQ7grWA
Fluid dynamics describes the flow of fluids. Here, we learn about Bernoulli's equation, impulse-momentum equation, venturi meter, orifice meter and so on. This slide is focused for examination purposes, what are all the questions and relevant concepts that can be expected in exams like GATE, ESE, PSUs
1) This document discusses isentropic flow, including governing equations, stagnation relations, effects of area variation, nozzles, diffusers, and the effect of back pressure.
2) Key concepts covered are stagnation temperature, pressure and properties, how Mach number relates stagnation and static quantities, and how pressure and area change with Mach number in converging and diverging ducts.
3) Examples provided include calculating stagnation properties from flow conditions and sketching the steady flow adiabatic ellipse.
This document discusses convective mass transfer and mass transfer coefficients. It defines convective mass transfer as the rapid transfer of mass that occurs when there is motion in the transfer medium compared to the slower process of molecular diffusion. Mass transfer coefficients are introduced to simplify calculations of mass transfer rates. Different types of mass transfer coefficients are presented based on whether they are used for gases or liquids, and whether they are expressed in terms of concentrations, mole fractions, or partial pressures. Approximations for typical values of mass transfer coefficients in gas and liquid phases are provided.
Fluid mechanics - Motion of Fluid Particles and StreamViraj Patel
- Fluid mechanics is the study of fluid motion and the forces acting on fluids. This includes fluid kinematics, which is the study of fluid motion without considering forces.
- There are different frames of reference to describe fluid motion - Lagrangian refers to individual fluid particles, Eulerian refers to fixed points in space.
- Fluid flow can be classified as steady or unsteady, uniform or non-uniform, laminar or turbulent. The continuity equation expresses conservation of mass and relates flow properties between different flow sections.
mass transfer for metallurgy, chemical, mechanical departmentvasundharasingh70
This document provides an overview of mass transfer and diffusion. It begins with definitions of mass transfer and examples of mass transfer processes. It then covers various topics related to mass transfer, including:
- Classification of mass transfer operations based on the phases in contact
- Mechanisms of convective and diffusive mass transfer
- The mass transfer coefficient and different types of mass transfer coefficients
- Dimensionless groups used in mass transfer like the Sherwood number
- Theories of mass transfer including the film theory and penetration theory
It provides explanations of key concepts in mass transfer and diffusion, along with relevant equations. The document serves as a reference for various fundamental aspects of mass transfer.
This document provides an overview of mass transfer and diffusion. It begins with definitions of mass transfer and examples of mass transfer processes. It then discusses various topics related to mass transfer, including:
- Classification of mass transfer operations based on the phases in contact
- Mechanisms of convective and diffusive mass transfer
- The mass transfer coefficient and different types of mass transfer coefficients
- Dimensionless groups used in mass transfer like the Sherwood number
- Theories of mass transfer including the film theory and penetration theory
It provides explanations of key concepts in mass transfer and diffusion, along with relevant equations. The document serves as a reference for various fundamental aspects of mass transfer.
This document discusses the application of vector integration in various domains. It begins by defining vector calculus concepts like del, gradient, curl, and divergence. It then presents several theorems of vector integration. Next, it explains how vector integration can be used to find the rate of change of fluid mass and analyze fluid circulation, vorticity, and the Bjerknes Circulation Theorem regarding sea breezes. It also discusses using vector calculus concepts in electricity and magnetism.
Slides for the eLearning course Separation and purification processes in biorefineries (https://open-learn.xamk.fi) in IMPRESS project (https://www.spire2030.eu/impress).
Section: Mass transfer processes
Subject: 2.2 Molecular diffusion
1. The document discusses vector calculus concepts including the gradient, divergence, curl, and theorems relating integrals.
2. It defines the curl of a vector field A as the maximum circulation of A per unit area and provides expressions for curl in Cartesian, cylindrical and spherical coordinates.
3. Stokes's theorem is described as relating a line integral around a closed path to a surface integral of the curl over the enclosed surface, allowing transformation between different integral types.
The document discusses reflection and transmission of mechanical waves at discontinuities in materials. It explains that waves can be reflected, transmitted, or absorbed depending on whether the wave's frequency matches the object's natural vibration frequencies. Reflection occurs if vibrations are not passed through the material, while transmission occurs if vibrations pass through. The document then applies these concepts to analyze reflection and transmission of pressure waves in arteries at locations where properties change, like narrowing, widening, or bifurcations into branches. Mathematical formulas are presented to calculate reflection and transmission coefficients at such discontinuities.
This document discusses fundamentals of alternating current (AC) circuits. It defines AC as a current that reverses direction periodically and explains why AC generation is used rather than direct current. The key concepts covered include sinusoidal waveforms, definitions of maximum, average and effective values, phasor representation, and voltage/current relationships in resistive, inductive and capacitive circuits. Formulas are provided for impedance, conductance, susceptance and admittance.
Aerodynamics Part II of 3 describes aerodynamics of bodies in supersonic flight.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
The Effect of Bottom Sediment Transport on Wave Set-Upijceronline
In this paper we augment the wave-averaged mean field equations commonly used to describe wave set-up and wave-induced mean currents in the near-shore zone, with an empirical sediment flux law depending only on the wave-induced mean current and mean total depth. This model allows the bottom to evolve slowly in time, and is used to examine how sediment transport affects wave set-up in the surf zone. We show that the mean bottom depth in the surf zone evolves according to a simple wave equation, whose solution predicts that the mean bottom depth decreases and the beach is replenished. Further, we show that if the sediment flux law also allows for a diffusive dependence on the beach slope then the simple wave equation is replaced by a nonlinear diffusion equation which allows a steady-state solution, the equilibrium beach profile
Kinetic studies on malachite green dye adsorption from aqueous solutions by A...Open Access Research Paper
Water polluted by dyestuffs compounds is a global threat to health and the environment; accordingly, we prepared a green novel sorbent chemical and Physical system from an algae, chitosan and chitosan nanoparticle and impregnated with algae with chitosan nanocomposite for the sorption of Malachite green dye from water. The algae with chitosan nanocomposite by a simple method and used as a recyclable and effective adsorbent for the removal of malachite green dye from aqueous solutions. Algae, chitosan, chitosan nanoparticle and algae with chitosan nanocomposite were characterized using different physicochemical methods. The functional groups and chemical compounds found in algae, chitosan, chitosan algae, chitosan nanoparticle, and chitosan nanoparticle with algae were identified using FTIR, SEM, and TGADTA/DTG techniques. The optimal adsorption conditions, different dosages, pH and Temperature the amount of algae with chitosan nanocomposite were determined. At optimized conditions and the batch equilibrium studies more than 99% of the dye was removed. The adsorption process data matched well kinetics showed that the reaction order for dye varied with pseudo-first order and pseudo-second order. Furthermore, the maximum adsorption capacity of the algae with chitosan nanocomposite toward malachite green dye reached as high as 15.5mg/g, respectively. Finally, multiple times reusing of algae with chitosan nanocomposite and removing dye from a real wastewater has made it a promising and attractive option for further practical applications.
ENVIRONMENT~ Renewable Energy Sources and their future prospects.tiwarimanvi3129
This presentation is for us to know that how our Environment need Attention for protection of our natural resources which are depleted day by day that's why we need to take time and shift our attention to renewable energy sources instead of non-renewable sources which are better and Eco-friendly for our environment. these renewable energy sources are so helpful for our planet and for every living organism which depends on environment.
Presented by The Global Peatlands Assessment: Mapping, Policy, and Action at GLF Peatlands 2024 - The Global Peatlands Assessment: Mapping, Policy, and Action
Optimizing Post Remediation Groundwater Performance with Enhanced Microbiolog...Joshua Orris
Results of geophysics and pneumatic injection pilot tests during 2003 – 2007 yielded significant positive results for injection delivery design and contaminant mass treatment, resulting in permanent shut-down of an existing groundwater Pump & Treat system.
Accessible source areas were subsequently removed (2011) by soil excavation and treated with the placement of Emulsified Vegetable Oil EVO and zero-valent iron ZVI to accelerate treatment of impacted groundwater in overburden and weathered fractured bedrock. Post pilot test and post remediation groundwater monitoring has included analyses of CVOCs, organic fatty acids, dissolved gases and QuantArray® -Chlor to quantify key microorganisms (e.g., Dehalococcoides, Dehalobacter, etc.) and functional genes (e.g., vinyl chloride reductase, methane monooxygenase, etc.) to assess potential for reductive dechlorination and aerobic cometabolism of CVOCs.
In 2022, the first commercial application of MetaArray™ was performed at the site. MetaArray™ utilizes statistical analysis, such as principal component analysis and multivariate analysis to provide evidence that reductive dechlorination is active or even that it is slowing. This creates actionable data allowing users to save money by making important site management decisions earlier.
The results of the MetaArray™ analysis’ support vector machine (SVM) identified groundwater monitoring wells with a 80% confidence that were characterized as either Limited for Reductive Decholorination or had a High Reductive Reduction Dechlorination potential. The results of MetaArray™ will be used to further optimize the site’s post remediation monitoring program for monitored natural attenuation.
Improving the viability of probiotics by encapsulation methods for developmen...Open Access Research Paper
The popularity of functional foods among scientists and common people has been increasing day by day. Awareness and modernization make the consumer think better regarding food and nutrition. Now a day’s individual knows very well about the relation between food consumption and disease prevalence. Humans have a diversity of microbes in the gut that together form the gut microflora. Probiotics are the health-promoting live microbial cells improve host health through gut and brain connection and fighting against harmful bacteria. Bifidobacterium and Lactobacillus are the two bacterial genera which are considered to be probiotic. These good bacteria are facing challenges of viability. There are so many factors such as sensitivity to heat, pH, acidity, osmotic effect, mechanical shear, chemical components, freezing and storage time as well which affects the viability of probiotics in the dairy food matrix as well as in the gut. Multiple efforts have been done in the past and ongoing in present for these beneficial microbial population stability until their destination in the gut. One of a useful technique known as microencapsulation makes the probiotic effective in the diversified conditions and maintain these microbe’s community to the optimum level for achieving targeted benefits. Dairy products are found to be an ideal vehicle for probiotic incorporation. It has been seen that the encapsulated microbial cells show higher viability than the free cells in different processing and storage conditions as well as against bile salts in the gut. They make the food functional when incorporated, without affecting the product sensory characteristics.
Evolving Lifecycles with High Resolution Site Characterization (HRSC) and 3-D...Joshua Orris
The incorporation of a 3DCSM and completion of HRSC provided a tool for enhanced, data-driven, decisions to support a change in remediation closure strategies. Currently, an approved pilot study has been obtained to shut-down the remediation systems (ISCO, P&T) and conduct a hydraulic study under non-pumping conditions. A separate micro-biological bench scale treatability study was competed that yielded positive results for an emerging innovative technology. As a result, a field pilot study has commenced with results expected in nine-twelve months. With the results of the hydraulic study, field pilot studies and an updated risk assessment leading site monitoring optimization cost lifecycle savings upwards of $15MM towards an alternatively evolved best available technology remediation closure strategy.
Climate Change All over the World .pptxsairaanwer024
Climate change refers to significant and lasting changes in the average weather patterns over periods ranging from decades to millions of years. It encompasses both global warming driven by human emissions of greenhouse gases and the resulting large-scale shifts in weather patterns. While climate change is a natural phenomenon, human activities, particularly since the Industrial Revolution, have accelerated its pace and intensity
5. In the absence of other
gradients such as
-Temperature
-Electrical
-Gravitational potentials
Molecules of a given species
( e.g. A) within a single phase
will always diffuse from region
oh high to low concentrations.
6. This will result in a Molar Flux of
species A (NA) in the direction of
decreasing concentration.
Flux is the flow rate FA per unit
area normal to the direction
of flow
(NA) is a Vector quantity ( )
moles
2 .s
m
moles
2 .s
m
A
NA
FA
=
7. NH3
1 2
NH3
Steady state fluxes
Determine NA for ammonia and mass flux for
ammonia nA through stationary frame at steady
state? There are 12.4x10 molecules of NH3 that
pass through an area A (2m ) over time interval 10 s
23
2
High
Concentration
Low
Concentration
8. Number of NH3 molecules
Avogadro's No.
No. of Moles =
12.04 x 10
23
6.02 x 1023
No. of Moles = =2 Mol
Two moles pass through an area of 2m in 10 s. therefore
the No. of moles passing through 1 m per second ( Molar
flux NA)
2
2
2 mol
(2 m ) ( 10
s)
NA= = 0.1 mol/m .s
2
2
The mass Flux = nA = NA x MWA
nA = 0.1 mol/m .s x 17g/mol
nA = 1.7 g/m .s
2
2
9. The Molar Flux NA is the result of two
contributions:
1)The molecular diffusion flux
produced by a concentration
gradient JA
2) Flux resulting from the bulk motion of
the fluid BA
NA JA BA
+
=
10. What is the difference between
the two contributions?
Gas mixture A &B
Well mixed
(no concentration
gradient)
A
B
A
B
B
B
A
B
A
A
A
B
A
B
B
B
A
B
A
A
A
B
A
B
B
B
A
B
A
A
UA
Velocity UA
The flux of A
resulting from Bulk
motion
BA = XA (NA+ NB)
BA = XA (NT)
The flux of A is
only
JA = 0
BA
Well mixed
(no concentration
gradient)
11. The Bulk flow term can be expressed in
terms of concnteration CA and average
molar velocity U
M
U
M
CA
=
BA
U
M
=xi Ui
Xi = Ci
C
Particles velocity
Mole fraction
12. B
A
A
A
B
A
B
B
B
A
A
A A
A
A
UA
A
A
A
A
A
B B
B
B
B
JA
Let see if the mixture is not spatially uniform
( Concentration gradient exist) and moving with
molar average velocity U
M
In this case there will
be both diffusion flux
of A,(JA) relative to the
motion of the mixture
+ Bulk flow of A (BA)
Thus total molar Flux of
A is given by
NA JA BA
+
=
can be expressed either in
terms of concentration of A
BA
NA JA CA U
+
=
M
XA (NA+ NB)
NA JA+
=
M
Or in terms of mole fraction
13. Remember :
The Flux of A Relative to Fixed Frame ( e.g. Your
Desk) Is the product of concentration of A (CA) and
the particle velocity ( UA)
NA = CA X UA 1
The Flux JA is the flux of A Relative to the molar average
velocity U
The molar average velocity for a binary system is
M
U
M
=xi Ui U
M
= xAUA + xB
UB
14. (UA –U)
M
What this difference tells us?
It tells us the velocity at which
species A is moving relative to
average velocity of all the species
15. Flux MJA Relative to U
M
MJA = CA ( UA –U )
M
MJA = CAUA – CA U
M
NA
CA ( )
xAUA + xB UB
Factoring the reciprocal of the total concentration (1/C )
from the terms in parentheses m we have
C
(CA UA + CA UB )
CA
CA U
M
= xA
= NA + NB
( )
16. MJA = CAUA – CA U
M
NA
CA ( )
xAUA + xB UB
xA (NA + NB)
NA= MJA + xA ( NA + NB )
From all these equations we
get
NA=-C DAB xA + xA ( NA + NB )
17. Evaluating the Molar Flux
1- Equimolar Counter Current
Diffusion
EMCD A
B
A B
A B
Fluxes of A & B are Equal
in magnitute and flow
counter to each other
Mathematically
NA = - NB A diffuse from
the Bulk to
Catalyst Surface
where it
isomerizes to
form B
A diffuse from
the Bulk to
Catalyst Surface
where it
isomerizes to
form B
18. NA=-C DAB xA + xA ( NA + NB )
Mathematically
NA = - NB
substitute into general equation
NA=-C DAB xA + xA ( NA + {-NA} )
0
NA=-C DAB xA =MJA
EMCD Equation
For constant total concentration
NA=-DAB CA =MJA
19. Evaluating the Molar Flux
1-Dilute Concentrations
Such case occur when : The mole
fraction of the diffusing Solute & the
Bulk motion in the direction of diffusion
are small.
The Flux is similar to constant total
concentration
NA=-DAB CA =MJA
20. NA=-C DAB xA + xA ( NA + {-NA} )
0
The Equation above can also be reduced to that
similar to Constant total concentration and
dilute concentration
For porous catalyst systems when the pore
radii are very small. Diffusion under these
condition is known as Knudsen diffusion (Dk)
and occur when the mean free path
>> diamter of the catalyst . Here the reacting
molecules collide more often with pore wall
than with other. In this case we neglect the
Bulk terms and the flux of species A for
Knudsen diffusion is expressed as follows:
NA=-Dk CA =MJA
21. This type is found in systems where
two phases are present.
Evaporation and gas absorption are
typical process
Evaluating the Molar Flux
Diffusion through a Stagnant Gas
If there is a stagnant gas, there will be
no net flux of B w.r.t. a fixed coordinate
i.e.
NB = 0
22. NA=-C DAB xA + xA ( NA + NB )
NB = 0
Substituting
We get
NA=-C DAB xA + xA NA
Rearranging
yields
NA= C DAB xA
1 - xA
-1
23. NA= C DAB xA
1 - xA
-1
NA=-C DAB xA + xA NA
Take this term to LHS
NA- xA NA = -C DAB xA
NA (1- xA) = -C DAB xA
This will lead us to this equation
NA= C DAB ln ( ) = C DAB ln
1 - xA xB
24. JAz
JAx
Z
x
Evaluating the Molar Flux
Axial Diffusion effect is nglected
and flux result from forced
convection
When the flux of A results from forced convection. We
assume that the diffusion in the direction of flow (
which in this case z direction), Jaz , which is very
small in comparison with the Bulk flow.
25. Evaluating the Molar Flux
Axial Diffusion effect is nglected
and flux result from forced
convection
When the flux of A results from forced convection. We
assume that the diffusion in the direction of flow (
which in this case z direction), Jaz , which is very
small in comparison with the Bulk flow.
One contribution in the z direction ,
BAz (Uz /Ac {m /m .s}) where volumetric flow
rate in the direction of flow and Ac is the cross
sectional area. JAz is neglected, while JAx normal
to the direction of the flow, may not be nglected.
NA = Baz = CA Uz CA /Ac
We can express the molar flow rate FA = CA when not
accounting for diffusional effects, However when accounting
for diffusional effects The molar flow rate FAz is = NA Ac
3 2
26. FA = NAz Ac = - CDAB + xA (Nz) Ac
dxA
dz
Where Nz is the total molar average flux in z
direction of all n species , i.e
Nz = Niz
i=1
m
27. Mass Flux
Molar Flux
Reference system
nA = A UA
NA = CA UA
Fixed Coordinates
jA = A(UA- U )
JA = CA (UA- U )
Molar average Velocity
jA = A (UA- U )
JA = CA (UA- U )
Mass average Velocity
jA = A (UA- U )
vJA = CA (UA- U )
Volume average Velocity
Fluxes for Binary Systems
M
M
M
M
m
m m
m
v v
v
31. Changing from one reference to
another Hooyman et al (1953) derived
a general diffusion coefficient
expressed as
JA =-DAB xA
1-A
1-xA
1
V
Molar
volume of
the mixture
Weighing
factor relating
to the
appropriate
velocity
33. Formulation of Mass Transfer Models
Macroscopic models
Describe industrial Process
but do not provide a detailed
description of the process.
Because the properties of the
system are averaged over
position.
The only independent
variable is time , so its easy
to solve the derived
differential equation of
macroscopic models
34. Macroscopic material balance
Inlet (i)
Applying the law of conservation of matter to a
stream flowing into a volume element fixed in
space
Outlet (i)
Volume
element
General Material Balance in the
RATE FORM
Rate of
Accumulation
Rate of
Transport
into
Rate of
Transport
Out
Rate of
generation
Rate of
Transport
Out
35. General Material Balance for total flow of mass
V V U S U S
( )
Mass of
material
within the
system
Average
velocity of
the fluid
Dividing both sides by and shrinking the
time to zero we get
dt
d
( V ) ( U S) ( U S) ( U S)
36. Note:
1- Since total mass can not be neither created
nor destroyed both the generation and
consumption terms are not present. (no
chemical reaction).
2- the mixing within the volume element is
perfectly mixed concentration leaving or
entering the volume is the same.
3- The subscript on the exit term (Outlet) will
be dropped from the equation because the
exiting stream is a variable.
4- The S in and out are the same.
THE MASS BALANCE BECOMS
dt
d
S
1
( V ) ( U) ( U) Absence of
Coordinates
38. Derivation of continuity equation
Eulerian approach
In this approach the mass of component
A moves at a velocity, UA through a
fixed volume element
And Can be extended to cases where the
volume element moves with some
reference velocity ( UM, Um, U )
M m v
39. Start:
considering a differential element of fixed shape
Flow entering and leaving the element at all direction.
Substitute mass flux terms for species A into the
general balance equation
Rate of
Accumulation
Rate of
Transport
into
Rate of
Transport
Out
Rate of
generation
Rate of
Transport
Out
40. (nAx - nAx ) Y Z
x X +x
(nA - nAx ) X Z
Y Y +Y
(nA - nAx ) X Y
Y Y +Y
rA X Y Z
*
X Y Z A
t