Natural convection occurs when density differences in a fluid due to temperature gradients lead to circulation without an external force. Forced convection relies on external forces like pumps or fans. Heat transfer equations account for resistances of the hot and cold fluid films and intervening solid, with the overall heat transfer coefficient U determined based on individual film coefficients hi and ho and solid conductivity and thickness. For thin walls, U depends only on hi and ho in series.
Definite Volume
Not Definite Shape
Molecules Are Much Closer Than Gases
Intermolecular Forces In Between Solids And Gases
properties of liquids
Evaporation
Process Of Changing A Liquid Into A Gas Phase
For example, liquid water conversion into vapor form
Cooling Process
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.
Definite Volume
Not Definite Shape
Molecules Are Much Closer Than Gases
Intermolecular Forces In Between Solids And Gases
properties of liquids
Evaporation
Process Of Changing A Liquid Into A Gas Phase
For example, liquid water conversion into vapor form
Cooling Process
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.
GATE Mechanical Engineering notes on Heat Transfer. Use these notes as a preparation for GATE Mechanical Engineering and other engineering competitive exams. For full course visit https://mindvis.in/courses/gate-2018-mechanical-engineering-online-course or call 9779434433.
Heat transfer coefficient calculation for forced convection refers to the process of determining the efficiency at which heat is transferred from a solid surface to a fluid when the fluid flow is induced or forced over the surface. It involves quantifying the rate of heat transfer and the temperature difference between the solid surface and the fluid.
The heat transfer coefficient (h) represents the ability of the fluid to extract heat from the solid surface. It is a key parameter in determining the overall heat transfer rate in forced convection scenarios. The calculation of the heat transfer coefficient involves considering factors such as fluid properties, flow conditions, surface characteristics, and the geometry of the system.
By evaluating the rate of heat transfer, surface area, and temperature difference, the heat transfer coefficient can be determined using appropriate equations or experimental correlations. This calculation helps in understanding and optimizing heat transfer processes in various engineering applications, such as cooling systems, heat exchangers, and HVAC systems, where forced convection is involved.
Accurate determination of the heat transfer coefficient enables engineers and researchers to design and optimize heat transfer systems, improve energy efficiency, and ensure adequate thermal management in various industries and applications.
Heat Conduction with thermal heat generation.pptxBektu Dida
Heat Conduction analysis is done in one dimensional steady state heat conduction considering internal heat generation per unit volume on plane and radial walls. Examples are directly taken from textbooks.
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.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
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.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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.
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.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Cosmetic shop management system project report.pdf
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1. NATURAL CONVECTION AND HEAT
TRANSFER GOVERNING EQUATION
Prepared by:
Patel Snehal (140990105046)
Patel Sneh (140990105047)
Patel Yash (140990105048)
Prajapati Deepak (140990105050)
Guided by:-
Mr. Niraj Nair
2. WHAT IS CONVECTION
• Convection is the heat transfer due to bulk movement of molecules
within fluids such as gases and liquids, including molten rock .
• Convection takes place through advection, diffusion or both.
4. NATURAL CONVECTION
• When the circulating currents arise from the heat transfer process
itself,
• i.e., from density differences due to temperature difference / gradients
in a fluid mass ,
• it is called free or natural convection.
5. EXAMPLE OF NATURAL CONVECTION
1. Heating of a vessel containing liquid by means of a gas flame situated
underteach.
• The liquid at the bottom of the vessel gets heated and expands and rises because
its density has become less than that of the remaining liquid.
• Cold liquid of higher density takes its place and a circulating current is set up.
2. The flow of air across a heated radiator / heating of a room by means of a steam
radiator.
6. • When the circulating currents are produced by an external agency such as an
agitator in a reaction vessel, pump, fan or blower, the action is called Forced
convection.
• Here fluid motion is independent of density- gradients.
3) Heating of water using an immersed heating coil.
4) Transfer of heat from the surface of a pipe to ambient air.
7. • If the resistance to heat transfer is considered as lying within the film covering the
surface, the rate of heat transfer 𝑄 is given by
𝑄 = 𝑘𝐴
∆𝑇
𝑥
• The effective thickness x is not generally known and therefore the equation is
usually rewritten in form :
• 𝑄 = ℎ 𝐴 ∆𝑇
• This is the basic equation for the rate of heat transfer by convection under steady
–state condition.
8. • Where ‘h’ is called the film heat transfer coefficient or
surface coefficient or
simply film coefficient.
• The value of ‘h’ depends upon the properties of the fluid within the film region,
hence it is called the film heat transfer coefficient.
• Numerically, heat transfer coefficient (h) is the quantity of heat transferred in unit
time through unit area at a temperature difference of one degree between the
surface and surroundings.
• The SI unit of h is 𝑊/𝑚2 K .
• The term
1
ℎ
is called as the thermal resistance.
10. • Consider that a hot fluid is flowing through
a circular pipe and a cold fluid is flowing on
the outside of the pipe.
• The heat will flow from the hot fluid to the
cold fluid through a series of resistances.
• The temperature gradients foe the situation
under consideration are shown in Figure.
• The dotted line 𝑌1 𝑌2 𝑎𝑛𝑑 𝑍1 𝑍2 represent the
boundaries of thin films (hot and cold fluid
films).
11. • The temperature gradient from the bulk of
the hot fluid to the metal wall is
represented by 𝑇𝑎 , 𝑇′, 𝑇2.
• Where , 𝑇𝑎 = maximum temperature of
the hot fluid.
𝑇′ = Temperature at the boundary between
turbulent and viscous regions.
𝑇2 = Temperature at the actual interface
between fluid and solid.
The temperature gradient in the cold fluid is
represented by line 𝑇3 , 𝑇"
, 𝑇𝑏.
12. • The average temperature of the fluid is
usually used rather than the maximum
temperature or the temperature at the
outer surface of the film.
• The average temperature (𝑇1) of the hot
fluid is represented by the line marked
NN .
• The average temperature (𝑇4) of the
cold fluid is represented by the line
marked MM.
13. • The temperature change from 𝑇1 𝑡𝑜 𝑇2 is taking place in the hot fluid film of
thickness 𝑥1.
• The rate of heat transfer through this film by conduction is given by
𝑄 =
𝑘1 𝐴1 𝑇1 − 𝑇2
𝑥1
….(1)
• The effective film thickness 𝑥1 depends upon the nature of flow and nature of the
surface and is generally not known.
equation (1) is usually rewritten as
𝑄 = ℎ𝑖 𝐴𝑖 𝑇1 − 𝑇2 …(2)
where ℎ𝑖 is known as the inside heat transfer coefficient
14. • the overall resistance to heat flow from a hot fluid to a cold fluid is made up of
three resistances in series.
1. Resistance offered by the film of the hot fluid.
2. Resistance offered by the metal wall
3. Resistance offered by the film of the cold fluid.
• The rate of heat transfer through the metal wall is given by
𝑄 =
𝑘𝐴 𝑤 𝑇2 − 𝑇3
𝑥 𝑤
….(3)
• Where 𝐴 𝑤 = Log mean area of the pipe
𝑥 𝑤 = Thickness of the pipe wall
k = Thermal conductivity of the pipe material
15. • The rate of heat transfer through
the cold fluid film is given by
𝑄 = ℎ 𝑜 𝐴0 𝑇3 − 𝑇4 …..(4)
ℎ 𝑜 = outside film coefficient
• Equation (2) can be rearranged as
𝑇1 − 𝑇2 =
𝑄
ℎ 𝑖 𝐴 𝑖
…..(5)
• Equations (3) and (4) can be
rearranged as
𝑇2 − 𝑇3 =
𝑄
𝑘𝐴 𝑤
𝑥 𝑤
…(6)
And 𝑇3 − 𝑇4 =
𝑄
ℎ0 𝐴0
… (7)
• Adding Equations (5) , (6) , (7) , we get
𝑇1 − 𝑇2 + 𝑇2 − 𝑇3 + 𝑇3 − 𝑇4 = 𝑄
1
ℎ 𝑖 𝐴 𝑖
+
16. • Equation (10) and (11) state that the
rate of heat transfer is a product of
three factors namely the overall
heat transfer coefficient.
• Equation (11) can be rearranged as
:
𝑇1 − 𝑇4 =
𝑄
𝑈0 𝐴0
…(12)
• Comparing equations (9) and (12),
1
𝑈0 𝐴0
=
1
ℎ 𝑖 𝐴 𝑖
+
1
𝑘𝐴 𝑤
𝑥 𝑤
+
1
ℎ0 𝐴0
…(13)
1
𝑈0
=
1
ℎ 𝑖
𝐴0
𝐴 𝑖
+
𝑥 𝑤
𝑘
𝐴0
𝐴 𝑤
+
1
ℎ0
…(14)
• Where
𝐴0 = Area of heat transfer based on the
outside diameter .
𝐴𝑖 = Area of heat transfer based on the
inside diameter.
• We have 𝐴𝑖 = 𝜋𝐷𝑖 𝐿
𝐴0 = 𝜋𝐷0 𝐿
𝐴0
𝐴 𝑖
=
𝐷0
𝐷 𝑖
…..(15)
• Similarly ,
𝐴0
𝐴 𝑤
=
𝐷0
𝐷 𝑤
….(16)
• 𝐷 𝑤 = Logarithmic mean diameter
• 𝐷 𝑤 = 2 . 𝑟 𝑚
(𝑟 𝑚 = 𝐿𝑜𝑔𝑎𝑟𝑖𝑡ℎ𝑚𝑖𝑐 𝑚𝑒𝑎𝑛 𝑟𝑎𝑑𝑖𝑢𝑠 )
17. • Substituting the values of area rations
in equation (14),
1
𝑈0
=
1
ℎ 𝑖
𝐷0
𝐷 𝑖
+
𝑥 𝑤 𝐷0
𝑘 𝐷 𝑤
+
1
ℎ0
…(17)
• Similarly ,
1
𝑈 𝑖
=
1
ℎ 𝑖
+
𝑥 𝑤 𝐷 𝑖
𝑘 𝐷 𝑤
+
1
ℎ0
𝐷 𝑖
𝐷 𝑜
….(18)
• For thin walled tubes , the inside and
outside radii are not much different
from each other and hence the overall
heat transfer coefficient 𝑈0 𝑜𝑟 𝑈𝑖 may
be replaced simply by ‘U’ and is
written in terms of ℎ0, ℎ𝑖 etc.
•
1
𝑈
=
1
ℎ 𝑖
+
𝑥 𝑤
𝑘
+
1
ℎ0
… (19)
•
1
𝑈
=
1
ℎ 𝑖
+
1
𝑘
𝑥 𝑤
+
1
ℎ0
…(20)
• When the metal wall resistance is very
small in comparison with the
resistances of fluid films, then equation
(19) reduces to :
•
1
𝑈
=
1
ℎ 𝑖
+
1
ℎ0
……(21)
•
1
𝑈
=
ℎ0+ ℎ 𝑖
ℎ 𝑖ℎ 𝑜
……(22)