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Today, we're diving into the basics of fluid properties. Can anyone tell me the difference between extensive and intensive properties?
I think extensive properties depend on the amount of substance, like mass?
Exactly! Extensive properties, such as mass and volume, are dependent on the system size. And intensive properties, like density or temperature, remain constant regardless of the amount of substance.
So, in the formula B = m * b, 'B' is extensive and 'b' is intensive?
Correct! Remember, capital 'B' is always extensive. To help remember, think of 'B' as 'big' properties that depend on mass.
If 'b' is for unit mass, does it stay the same for any fluid element?
Yes! The value of 'b' will be independent of mass since it’s a property per unit mass. Great observation! Let's continue.
Now, how do we calculate the total extensive property within a control volume at a given instant?
I believe we sum the properties of all particles in that volume?
Exactly! This involves integrating the property over the volume, essentially accounting for the entire fluid within the control volume.
And if we have an infinitesimal particle, we use density and intensive property in the integral?
Right! It gives us the expression: ∫ρb dV. Don't forget, our limits of integration cover the entire system, which is key here.
What if the volume changes as the fluid moves?
Great question! The control volume can indeed be moving, and that’s where we have to consider how fluid properties change over time.
We are now ready to derive the Reynolds Transport Theorem. Who can explain what we first need to consider?
We should start by analyzing the control volume and how fluid enters and leaves.
Yes! As we derive, we can observe the fluid movement and how properties of the fluid change due to this motion.
So, we are observing both inflow and outflow rates of property B across the control surfaces?
That’s right! Pay attention to all parameters involved for inflow and outflow. This will lead us to reformulate the relationship of property B.
Are we also considering the time change in properties?
Absolutely! The time change is crucial. This relationship illustrates the core of the Reynolds Transport Theorem.
Now, let’s reflect on how this theorem applies in real-life scenarios. Can anyone think of where the RTT might be used?
I suppose in engineering applications like pipe flow?
Correct! It’s vital in scenarios involving fluid motion through pipes, pumps, and any conduits.
Could it also relate to environmental fluid dynamics, like rivers?
Yes! It governs flow in natural systems, aiding in predicting behavior in environments like rivers and streams.
Does it also connect with calculating mass flow rates?
Absolutely! The key to utilizing RTT is to understand inflows and outflows from the control volumes accurately.
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In this section, we explore the Reynolds Transport Theorem, which provides a framework for translating the rate of change of extensive properties of fluid systems across control volumes. By deriving this theorem, we elucidate its significance in fluid dynamics and provide examples that relate to fluid motion and properties.
The Reynolds Transport Theorem (RTT) is a fundamental concept in fluid dynamics that facilitates the understanding of the rate of change of extensive properties within a control volume. This theorem allows for expressing the time rate of change of an extensive property in terms of both the system and the control volume.
In summary, the Reynolds Transport Theorem bridges the fundamental aspects of fluid mechanics, allowing us to model and predict fluid behavior under varying conditions.
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All physical laws are stated in terms of various physical parameters. So, if B represents any of these, these parameters can be velocity, acceleration, mass, temperature, momentum, anything etc.
What it says is, let B represent any of these fluid parameter capital ‘B’ and small ‘b’ represent the amount of that parameter per unit mass, that is, B is equal to m into b, where m is the mass of the portion of the fluid of interest, b will be 1 if B is equal to m. So, B is the amount of that parameter per unit mass.
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 a b is independent of the amount of mass because by definition, it is the amount of the parameter per unit mass b.
The text introduces the concept of extensive and intensive properties in fluid mechanics. An extensive property, denoted as capital 'B', is associated with the total quantity of a substance, such as mass or total momentum, which depends on the size of the system. In contrast, intensive properties, denoted as small 'b', represent characteristics per unit mass, like temperature or density, and remain consistent regardless of the system's size.
Think of extensive properties like the total weight of groceries (which increases as you buy more), while intensive properties are like the price per kilogram of an item (which stays the same no matter how much you purchase). Just as the total weight changes with quantity, the extensive property varies with the mass of the substance.
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The amount of an extensive property that the system possesses at a given instant B, sys is the amount of the extensive property that a system will have at any given instant. And how that can be found out? It can be determined by adding up the amount associated with each fluid particle in the system.
If, for an infinitesimal fluid particles of size delta V and mass, rho delta V, this summation takes the form of an integration over all the particles in the system.
To find the total or extensive property of a system, you can think about summing the values of this property from each individual fluid particle. For very small particles, this summation can be expressed mathematically as an integral over the entire volume of fluid, allowing calculation of the total property for the whole system from the sum of the tiny contributions of each particle.
Imagine you’re collecting marbles of different colors. The total number of marbles (extensive property) is computed by counting every single marble you have. If each marble represents a small part of a fluid particle, counting them is like integrating to find the total amount of an extensive property in a fluid.
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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, the rate at which the momentum of a system changes with time, for example or the rate at which the mass of the system changes with time and so on. Thus, we often encounter terms such as dB sys dt.
In fluid mechanics, it is essential to understand how extensive properties change over time. For instance, how quickly the momentum or mass of a fluid is changing can affect the behavior of the fluid flow. The derivative notation such as dB/sys dt indicates this rate of change, helping to formulate dynamic fluid equations necessary for real-world applications.
Think of a bathtub filling with water. The rate at which the water level (extensive property) rises can be described as the change in volume (mass) over time. If you turn on the tap more, the rate of change increases, similar to how derivatives describe changing properties in fluid dynamics.
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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. We consider the control volume to be that stationary volume within the pipe or duct between section 1 and 2.
Reynolds Transport Theorem connects the extensive properties of a fluid flowing through a control volume — a defined region in space, like a pipe section. By deriving an expression for how much of an extensive property changes over time in this control volume, it sets the foundation for understanding fluid movement and forces acting inside.
Imagine a section of a swimming pool (the control volume) receiving water from a hose (inflow) while also having some water drain out at the other end (outflow). The changes in water amount (an extensive property) in this specific section over time reflects the core principles that the Reynolds Transport Theorem aims to describe.
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The term B out represents the net flow rate of the property B from the control volume, you see, its value can be thought of as arising from the addition of the contributions through each infinitesimal area element of size on the portion del A of the control surface dividing region 2 and control volume.
The flow out of the control volume is related to how much of the extensive property B passes through the control surface — the boundary of our control volume. By considering small areas aligned with this surface, you can determine the total flow by adding up all the contributions from these small areas, which allows for a comprehensive calculation of properties moving in and out.
Think of a water treatment plant where different pipes contribute to an outflow to a river. Each pipe's outflux could be considered as a small area on the control surface. To know the total clean water flowing out, you would compute each pipe's contribution and sum them up much like summing contributions through infinitesimal area elements.
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This can be written in a slightly different form by using so, that Bcv is equal to rho b dV. We can also write this in this for del del t of control volume. So, what we did? We just this, one we wrote in this format. So, now, this is the general form of Reynolds transport theorem for a fixed non deforming control volume.
The general form of Reynolds Transport Theorem highlights the relationship between the changes of extensive properties within a control volume and those flowing across its boundaries. It's a mathematical statement that neatly encompasses both conservation principles and the flow dynamics of fluids, suitable for various applications in engineering and physics.
Consider a water reservoir that maintains a steady level even as water flows in and out via pipes. The general form of the theorem helps calculate the changes in water volume within the reservoir while considering inflows and outflows, providing insight into maintaining equilibrium — crucial for designing effective water management systems.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Reynolds Transport Theorem: A principle relating the change of extensive properties in control volumes to their inflows and outflows.
Extensive vs. Intensive Properties: The distinction where extensive properties depend on volume while intensive properties are independent.
Control Volume: A specific area through which the fluid flows, enabling the analysis of various fluid dynamics principles.
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An example of using the RTT in a pipe system to calculate mass flow rates across various sections.
Applying the RTT to predict changes in momentum as fluid flows through a nozzle.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In fluid flow, as times do change, properties shift, it's not so strange.
Imagine a river carving through town. Each drop of water carries news of the volume and density, which changes as it flows in and out of banks.
Remember 'E' for extensive talks about total mass; 'I' for intensive, regardless of class.
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Review the Definitions for terms.
Term: Extensive Property
Definition:
A property that depends on the amount of substance in the system, e.g., mass, total energy.
Term: Intensive Property
Definition:
A property that does not depend on the amount of substance, e.g., density, temperature.
Term: Control Volume
Definition:
A fixed region in space through which fluid flows, allowing analysis of mass and energy transfer.
Term: Reynolds Transport Theorem (RTT)
Definition:
A fundamental theorem in fluid mechanics that relates the rate of change of extensive properties within a control volume to their inflow and outflow.
Term: Integration
Definition:
A mathematical technique to calculate the total effect by summing infinitely small contributions across a range.