Understand the physical mechanism of convection and its classification.
Visualize the development of velocity and thermal boundary layers during flow over surfaces.
Gain a working knowledge of the dimensionless Reynolds, Prandtl, and Nusselt numbers.
Distinguish between laminar and turbulent flows, and gain an understanding of the mechanisms of momentum and heat transfer in turbulent flow.
Derive the differential equations that govern convection on the basis of mass, momentum, and energy balances, and solve these equations for some simple cases such as laminar flow over a flat plate.
Non dimensionalize the convection equations and obtain the functional forms of friction and heat transfer coefficients.
Use analogies between momentum and heat transfer, and determine heat transfer coefficient from knowledge of friction coefficient.
Introduction to convection
The dimensionless number and its physical significance
Similarity parameters from the differential equation
Dimensional analysis approach and its application
Numerical on Dimensional analysis approach
Review of Navier-Stokes equation
Understand the physical mechanism of convection and its classification.
Visualize the development of velocity and thermal boundary layers during flow over surfaces.
Gain a working knowledge of the dimensionless Reynolds, Prandtl, and Nusselt numbers.
Distinguish between laminar and turbulent flows, and gain an understanding of the mechanisms of momentum and heat transfer in turbulent flow.
Derive the differential equations that govern convection on the basis of mass, momentum, and energy balances, and solve these equations for some simple cases such as laminar flow over a flat plate.
Non dimensionalize the convection equations and obtain the functional forms of friction and heat transfer coefficients.
Use analogies between momentum and heat transfer, and determine heat transfer coefficient from knowledge of friction coefficient.
Introduction to convection
The dimensionless number and its physical significance
Similarity parameters from the differential equation
Dimensional analysis approach and its application
Numerical on Dimensional analysis approach
Review of Navier-Stokes equation
Dimensionless number in chemical engineering Hardi Trivedi
Dimensionless number are the key parameter used in major designing parameter and understanding of the behavior of the fluid, heat and mass transfer. Heat transfer, Mass transfer and Fluid mechanics are major subject for the designing purpose also the understanding of chemical engineering and this dimensionless number are helps to determine the behavior, basic understanding of the system. In advanced software of chemical engineering, Dimensionless number play major role for the simulation , optimization of the chemical plant and their design.
Ideal fluid:
a fluid with no friction
Also referred to as an inviscid (zero viscosity) fluid
Internal forces at any section within are normal (pressure forces)
Practical applications: many flows approximate frictionless flow away from solid boundaries.
Real Fluids
Tangential or shearing forces always develop where there is motion relative to solid body
Thus, fluid friction is created
Shear forces oppose motion of one particle past another
Friction forces gives rise to a fluid property called viscosity
Dimensionless number in chemical engineering Hardi Trivedi
Dimensionless number are the key parameter used in major designing parameter and understanding of the behavior of the fluid, heat and mass transfer. Heat transfer, Mass transfer and Fluid mechanics are major subject for the designing purpose also the understanding of chemical engineering and this dimensionless number are helps to determine the behavior, basic understanding of the system. In advanced software of chemical engineering, Dimensionless number play major role for the simulation , optimization of the chemical plant and their design.
Ideal fluid:
a fluid with no friction
Also referred to as an inviscid (zero viscosity) fluid
Internal forces at any section within are normal (pressure forces)
Practical applications: many flows approximate frictionless flow away from solid boundaries.
Real Fluids
Tangential or shearing forces always develop where there is motion relative to solid body
Thus, fluid friction is created
Shear forces oppose motion of one particle past another
Friction forces gives rise to a fluid property called viscosity
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
2. Physical
Mechanism of
Convection
Convection vs conduction
Heat in liquids and gases
Speed of heat transfer because of the motion of molecules
Convection heat transfer depends on: - fluid properties dynamic
viscosity - thermal conductivity - density - specific heat - fluid
velocity - geometry and the roughness of the solid surface - the
type of fluid flow (such as being streamlined or turbulent).
𝑄𝑐𝑜𝑛𝑣 = ℎ𝐴𝑠 𝑇𝑠 − 𝑇∞ 𝑊 - Newton’s law of cooling
Convection heat transfer coefficient, h
No – slip condition
Velocity profiles
No – temperature jump condition
Pure conduction at solid fluid surface
Convection heat transfer coefficient (cond. & conv.)
3. Nusselt
Number
Nusselt number represents the enhancement of heat transfer
through a fluid layer as a result of convection relative to
conduction across the same fluid layer.
𝑞𝑐𝑜𝑛𝑣
𝑞𝑐𝑜𝑛𝑑
=
ℎ∆𝑇
𝑘∆𝑇 𝐿
=
ℎ𝐿
𝑘
= 𝑁𝑢
< 𝑁𝑢 – effectiveness of convection
Nu = 1 – pure conduction
Heat flux, 𝑞 - the rate of heat flow per unit time per unit surface
area
4. Classification
of Fluid Flows
Viscous versus Inviscid Flow
Internal versus External Flow – open-channel flow
Compressible versus Incompressible Flow
Laminar versusTurbulent Flow
Natural (or Unforced) versus Forced Flow
Steady versus Unsteady (Transient) Flow
One-,Two-, andThree-Dimensional Flows
5. Velocity
Boundary
Layer
Velocity boundary layer is the region of the flow above the plate
bounded by a layer of thickness in which the effects of the viscous
shearing forces caused by fluid viscosity are felt.
Upstream velocity
Free stream velocity 𝑢∞
Fluid velocity, u
No – slip condition
Boundary layer thickness, 𝛿: 𝑢 = 0.99𝑢∞
Boundary layer region
Inviscid flow region
6. Surface Shear
Stress
Shear stress, 𝜏 – friction force per unit area.
Newtonian fluids e.g. water, gasoline vs non-Newtonian fluids e.g.
blood, plastic fluids
Surface shear stress, 𝜏𝑠 = 𝜇
𝜕𝑢
𝜕𝑦 𝑦=0
(𝑁 𝑚2
) where 𝜇 – dynamic
viscosity of the fluid (𝑘𝑔 𝑚 . 𝑠)
Kinematic viscosity, 𝜈 =
𝜇
𝜌
(𝑚2 𝑠) where 𝜌 - density
Viscosity is a measure of a fluid’s resistance to flow, its related to
temperature (liquids and gases)
Surface shear stress vs velocity profile (friction coefficient,
upstream velocity, friction force, surface area)
7. TheThermal
Boundary
Layer
Thermal boundary layer develops when a fluid at a specified
temperature flows over a surface that is at a different
temperature
Thermal boundary layer, 𝛿𝑡 - is the distance from the surface
at which the temperature difference 𝑇 − 𝑇𝑠 = 0.99(𝑇∞ − 𝑇𝑠) .
𝑇𝑠 = 0; 𝑇 = 0.99𝑇∞vs velocity boundary layer (𝑢 = 0.99𝑢∞)
Thickness of layer increases with flow direction
Boundary layer and convection heat transfer
Velocity boundary layer andThermal boundary layer
8. Prandtl
Number
Prandt number describes the relative thickness of the velocity and
thermal boundary layers
𝑃𝑟 =
𝑀𝑜𝑙𝑒𝑐𝑢𝑙𝑎𝑟 𝑑𝑖𝑓𝑓𝑢𝑠𝑖𝑣𝑖𝑡𝑦 𝑜𝑓 𝑚𝑜𝑚𝑒𝑛𝑡𝑢𝑚
𝑀𝑜𝑙𝑒𝑐𝑢𝑙𝑎𝑟 𝑑𝑖𝑓𝑓𝑢𝑠𝑖𝑣𝑖𝑡𝑦 𝑜𝑓 ℎ𝑒𝑎𝑡
=
𝜐
∝
=
𝜇𝐶𝑝
𝑘
Pr = 1 – gases
Pr << 1 – liquid metals
Pr >> 1 – oils
Thermal boundary layer vs velocity boundary layer
9. Laminar and
Turbulent
Flows
Laminar vs turbulent flow
Characteristics of lamina flow
Smooth streamlines – no
velocity fluctuations
Highly ordered motion
Characteristics of turbulent
flow
Velocity fluctuations
Highly disordered motion
Transition
Velocity profile (lamina/turbulent)
Turbulent boundary layer
(laminar sub layer, buffer layer
and turbulent layer)
Turbulent flow – heat +
momentum – friction –
convection heat transfer
Design of heat transfer
coefficients - cost say pumps
10. Reynolds
Number
Reynolds number is the ratio of inertia forces to vicious forces
(upstream velocity, characteristic length, kinematic viscosity
Factors affecting transition from lamina to turbulent flow: -
surface geometry - surface roughness – free stream velocity -
surface temperature – type of fluid
Re >
Re <
Inertia forces vs viscous – turbulence vs lamina
Critical Reynolds number, 𝑅𝑒𝑐𝑟
11. Ref:
Yunus A. Cengel, (2000). HeatTransfer,A PracticalApproach,
Second Edition.