Deriving Reynolds Transport Theorem - 2.3 | 14. Fluid Dynamics | Hydraulic Engineering - Vol 1
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Understanding Extensive vs. Intensive Properties

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0:00
Teacher
Teacher

Today, let's start by understanding the difference between extensive and intensive properties. Who can tell me what an extensive property is?

Student 1
Student 1

Is it a property that depends on the amount of substance, like mass or volume?

Teacher
Teacher

Exactly! Great job! Extensive properties, such as mass and total volume, depend on the quantity of the material. Now, what about intensive properties?

Student 2
Student 2

Intensive properties don't depend on the amount, right? Like temperature?

Teacher
Teacher

Correct! To connect these, we denote an extensive property as *B* and an intensive property as *b*, where *B = m * b*. Remember, *m* is the mass of our fluid particle, and *b* is the property per unit mass. Can anyone give an example of intensive properties?

Student 3
Student 3

Density is an example!

Teacher
Teacher

Well done! It’s critical to understand these properties as they lead into the Reynolds Transport Theorem.

Deriving the Reynolds Transport Theorem

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Teacher
Teacher

Let’s move on to deriving the Reynolds Transport Theorem. Can anyone explain what the term 'extensive property' encompasses?

Student 4
Student 4

It includes properties like mass, momentum, and energy, right?

Teacher
Teacher

Exactly! Now, we consider a fixed control volume and look at how this extensive property *B* changes over time. How can we express the change in *B* for a control volume?

Student 1
Student 1

We can integrate the property over the control volume, accounting for flow across the surface.

Teacher
Teacher

Perfect! By using integration, we arrive at the equation for the rate of change of *B* within the control volume. What's the significance of this equation for fluid mechanics?

Student 2
Student 2

It helps us analyze conservation laws for mass and momentum!

Teacher
Teacher

Right! This theorem becomes a powerful tool in fluid dynamics as we apply it to diverse fluid scenarios.

Implication of Outflow and Inflow in RTT

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Teacher
Teacher

Now let's dive deeper into how inflows and outflows affect our extensive property *B*. How is the inflow rate expressed?

Student 3
Student 3

It’s expressed as the product of density, velocity, and cross-sectional area!

Teacher
Teacher

Exactly! When we flow into the control volume across a certain surface, we can express it as *B_in = ∫ρb V ⋅ n dA*. What about for the outflow, how does that differ?

Student 4
Student 4

The outflow would also be similar but applied to the respective outflow surface!

Teacher
Teacher

Exactly! The key is understanding that *V ⋅ n* represents the velocity component normal to the surface. Can anyone summarize how we use these expressions?

Student 1
Student 1

We combine the inflow and outflow to understand the net change within the control volume!

Teacher
Teacher

Great summary! This concept is crucial for analyzing many real-world fluid dynamics problems.

Introduction & Overview

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Quick Overview

The section discusses the derivation and significance of Reynolds Transport Theorem in fluid mechanics, focusing on the relationship between extensive and intensive properties of fluids.

Standard

In this section, the Reynolds Transport Theorem is derived to establish a connection between the rate of change of an extensive property for a fluid system and that for a control volume. This theorem is crucial for understanding fluid dynamics and conservation laws.

Detailed

Detailed Summary

The Reynolds Transport Theorem (RTT) is a foundational concept in fluid mechanics that expresses the relationship between the time rate of change of an extensive property of a fluid within a system and that within a control volume. In this section, we begin by defining extensive properties (properties that depend on the amount of fluid, denoted as B) and intensive properties (properties that are independent of the mass, denoted as b, defined as B = m * b).

We explore how the total amount of an extensive property for a system at any given moment can be calculated by summing contributions from each infinitesimal fluid particle, leading to an integral representation over the entire system volume. By investigating the control volume approach, where properties are analyzed within a defined volume rather than following particular fluid particles, we derive the equation for the time rate of change of an extensive property within the control volume.

The section progresses through key derivation steps, illustrating how fluid particles traverse across control surfaces and influencing both inflow and outflow rates of property B. By defining the flow rates across varying cross-sectional areas, we ultimately arrive at a generalized form of the Reynolds Transport Theorem, which establishes a vital framework for further study in fluid dynamics, especially concerning mass and momentum conservation.

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Understanding Extensive and Intensive Properties

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All physical laws are stated in terms of various physical parameters. If B represents any of these, these parameters can be velocity, acceleration, mass, temperature, momentum, anything etc. The parameter B, capital B is termed as extensive property and the parameters b is termed as intensive property. Because it is the parameter per unit mass, the value of B is directly proportional to the amount of mass being considered. Whereas, the value of b is independent of the amount of mass because by definition, it is the amount of the parameter per unit mass.

Detailed Explanation

In this chunk, we learn that physical properties of fluids can be categorized into two types: extensive and intensive properties. An extensive property, denoted here as 'B', is dependent on the amount of substance present, like mass or volume. On the other hand, an intensive property, 'b', represents a value per unit mass, such as density or temperature, and remains constant regardless of the quantity of material. This distinction is crucial in fluid mechanics, as it helps in understanding how fluid parameters behave under various conditions.

Examples & Analogies

Think of extensive properties as the total weight of a suitcase (which increases as you add more items) and intensive properties as the weight per item inside the suitcase (which remains constant regardless of how many items are there). Just as the weight of a suitcase changes when you pack more clothes, the extensive properties of a fluid change based on the quantity of fluid present.

Calculating Extensive Properties in a System

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The amount of an extensive property that the system possesses at a given instant B, sys can be calculated by summing up the amount associated with each fluid particle in the system.

Detailed Explanation

This chunk discusses how to determine the total amount of an extensive property within a system (designated as B_sys). Essentially, to find B_sys, we add up the respective amounts of the property contributed by each fluid particle. By integrating over the entire volume of fluid in the system, we can capture the contributions of all particles. This is a foundational concept in fluid mechanics, as it allows for a comprehensive assessment of properties within the system at any moment.

Examples & Analogies

Imagine measuring the total amount of sugar in a jar. To get this total, you could measure the sugar in different small cups, adding them together to find out how much sugar is in the entirety of the jar. Similarly, in fluid mechanics, you sum up the contributions of all tiny fluid elements to assess total properties.

Derivative of Extensive Properties Over Time

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Most of the laws governing fluid motion involve the time rate of change of an extensive property of a fluid system. Thus, we often encounter terms such as dB sys/dt.

Detailed Explanation

This section emphasizes the importance of understanding how properties change over time. When studying fluid dynamics, it is often necessary to know not just the amount of a property but also how that amount changes with time. This time derivative (dB_sys/dt) indicates how rapidly an extensive property, such as mass or momentum, evolves in the system. This understanding is crucial for formulating dynamic equations that govern the behavior of fluids.

Examples & Analogies

Think of a water tank filling up. If you measure the amount of water at different times, you'll notice the volume increases. The rate at which the water level rises (the change in water level over time) is analogous to the time rate of change of an extensive property. Just like measuring how fast the water tank fills helps in making predictions, understanding the rate of change of properties helps in fluid dynamics.

Transition from System to Control Volume

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To formulate the laws into a control volume approach we must obtain an expression for time rate of change of an extensive property within a control volume B cv and not within a system.

Detailed Explanation

Here, we shift our focus from analyzing fluid behavior based solely on systems to considering control volumes. A control volume is a specified space through which fluid may flow, allowing for a more practical analysis of fluid behavior in real systems like pipes and ducts. By deriving equations for properties based on control volumes, we can better understand how fluids move and behave in engineering applications.

Examples & Analogies

Consider a factory where materials flow in and out of a specific area. Instead of tracking every item entering the factory (a system approach), you track materials within that area (the control volume). This approach allows you to manage inflow and outflow efficiently, making it easier to analyze processes happening at the site of interest, like in fluid systems.

Deriving the Reynolds Transport Theorem

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Thus, the change in the amount of B in the system in time interval delta t divided by this time interval is given by... Thus, the rate at which this property flows from the control volume B out is given by limit delta t tends to 0 B 2 at t + delta t divided by delta t or we can simply write rho 2 A2 V2 b2.

Detailed Explanation

The Reynolds Transport Theorem is derived through a process that considers the inflow and outflow of an extensive property within a control volume over a small time interval. The theorem relates the change in an extensive property in a fluid system to the flux of that property across the control surface of the volume. Understanding this theorem is essential in fluid mechanics, as it provides the foundation for deriving equations related to conservation laws in fluids.

Examples & Analogies

Think of a river flowing through a valley. The water entering the valley (inflow) and the water flowing out (outflow) can be thought of in terms of the Reynolds Transport Theorem. The total amount of water in the valley can change based on how much water is coming in and how much is leaving, similar to how fluid properties in a control volume can change based on inflows and outflows.

Generalization of the Reynolds Transport Theorem

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Now, the next step is we have to find this for control volume and system for flow through an arbitrary fixed control volume, this is arbitrary... So, this is the outflow portion of the control surface this 1 here. This is cross sectional area out, this is delta A, this is the V velocity and this is the normal surface.

Detailed Explanation

This final chunk discusses a more generalized form of the Reynolds Transport Theorem, which applies to any arbitrary control volume through which fluid flows. It expands the initial derivation to include various configurations and multiple inlets and outlets, demonstrating the flexibility of this theorem in practical applications. This generalization is crucial for engineers and scientists when analyzing complex fluid systems where multiple factors and conditions must be considered.

Examples & Analogies

Imagine a highway with multiple entry and exit ramps. Vehicles coming onto the highway from various ramps and leaving at different exits mirror the generalization in the Reynolds Transport Theorem. Just as we analyze how vehicle flow changes based on these inflows and outflows, the generalized RTT allows us to assess fluid property changes in complex systems.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • Extensive Property: A property dependent on the amount of material present.

  • Intensive Property: A property independent of the amount of material present.

  • Reynolds Transport Theorem: A theorem that connects the rate of change of extensive properties to fluid motion.

Examples & Real-Life Applications

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Examples

  • An example of an extensive property is mass, which increases with the amount of fluid present, whereas temperature is an intensive property that remains constant regardless of how much fluid is present.

  • In fluid dynamics, the Reynolds Transport Theorem helps predict the flow of fluid through a control volume and is utilized in applications such as aerodynamics and hydrodynamics.

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎵 Rhymes Time

  • Extensive grows with mass, / Intensive stays the same; / In fluid flow, they help us know, / The transport theorem's name.

📖 Fascinating Stories

  • Imagine a water tank filling up. The total volume of water is an extensive property that increases as you add water. However, the temperature of the water remains the same regardless of how much water you have. This illustrates intensive properties being constant.

🧠 Other Memory Gems

  • E= Mass (Extensive) & I= Independent (Intensive). Remember it as E for Extra mass and I for Internal characteristics.

🎯 Super Acronyms

Use the acronym RTT for 'Reynolds Transport Theorem' to remember its application in fluid mechanics.

Flash Cards

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Glossary of Terms

Review the Definitions for terms.

  • Term: Extensive Property

    Definition:

    A physical property of a system that depends on the amount of substance in the system.

  • Term: Intensive Property

    Definition:

    A physical property of a system that does not change regardless of the amount of substance in the system.

  • Term: Reynolds Transport Theorem

    Definition:

    A fundamental principle in fluid mechanics that relates the time rate of change of an extensive property of a fluid within a control volume to that within the entire fluid system.