Intermittency - 2 | Fluid Mechanics for Mechanical Engineering PDF Download

continued..

 

Consider another lump of fluid with a negative value of v'. This is arriving at y1 from ( y+ 1). If this lump retains its original momentum, its mean velocity at the current lamina y1 will be somewhat more than the original mean velocity of y1. This difference is given by

           Intermittency - 2 | Fluid Mechanics for Mechanical Engineering                                (33.16)

  • The velocity differences caused by the transverse motion can be regarded as the turbulent velocity components at Intermittency - 2 | Fluid Mechanics for Mechanical Engineering
  • We calculate the time average of the absolute value of this fluctuation as

             Intermittency - 2 | Fluid Mechanics for Mechanical Engineering                              (33.17)

 

  • Suppose these two lumps of fluid meet at a layer y1 The lumps will collide with a velocity 2u' and diverge. This proposes the possible existence of transverse velocity component in both directions with respect to the layer at y1. Now, suppose that the two lumps move away in a reverse order from the layer y1 with a velocity 2u'. The empty space will be filled from the surrounding fluid creating transverse velocity components which will again collide at y1. Keeping in mind this argument and the physical explanation accompanying Eqs (33.4), we may state that

Intermittency - 2 | Fluid Mechanics for Mechanical Engineering

along with the condition that the moment at which u' is positive, v' is more likely to be negative and conversely when u' is negative. Possibly, we can write at this stage 

 

Intermittency - 2 | Fluid Mechanics for Mechanical Engineering                                                      (33.18)

 

where C1 and C2 are different proportionality constants. However, the constant C2 can now be included in still unknown mixing length and Eg. (33.18) may be rewritten as

 

Intermittency - 2 | Fluid Mechanics for Mechanical Engineering
 

  • For the expression of turbulent shearing stress τt we may write

Intermittency - 2 | Fluid Mechanics for Mechanical Engineering

 

  • After comparing this expression with the eddy viscosity Eg. (33.14), we may arrive at a more precise definition,

Intermittency - 2 | Fluid Mechanics for Mechanical Engineering                                   (33.20a)

where the apparent viscosity may be expressed as
Intermittency - 2 | Fluid Mechanics for Mechanical Engineering                                                          (33.20b)

and the apparent kinematic viscosity is given by

Intermittency - 2 | Fluid Mechanics for Mechanical Engineering                                                            (33.20c)

  • The decision of expressing one of the velocity gradients of Eq. (33.19) in terms of its modulus as  Intermittency - 2 | Fluid Mechanics for Mechanical Engineering  was made in order to assign a sign to τt according to the sign of Intermittency - 2 | Fluid Mechanics for Mechanical Engineering .
  • Note that the apparent viscosity and consequently,the mixing length are not properties of fluid. They are dependent on turbulent fluctuation. 
  • But how to determine the value of "l" the mixing length? Several correlations, using experimental results for Intermittency - 2 | Fluid Mechanics for Mechanical Engineering have been proposed to determine l

    However, so far the most widely used value of mixing length in the regime of isotropic turbulence is given by
     

where Y is the distance from the wall and is known as von Karman constant  (≈ 0.4 ). 

The document Intermittency - 2 | Fluid Mechanics for Mechanical Engineering is a part of the Mechanical Engineering Course Fluid Mechanics for Mechanical Engineering.
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FAQs on Intermittency - 2 - Fluid Mechanics for Mechanical Engineering

1. What is intermittency in mechanical engineering?
Ans. Intermittency in mechanical engineering refers to the occurrence of intermittent or irregular patterns in mechanical systems or processes. It is characterized by periods of operation followed by periods of inactivity or downtime. This can be caused by various factors such as equipment failures, maintenance requirements, or planned shutdowns.
2. How does intermittency affect mechanical systems?
Ans. Intermittency can have several impacts on mechanical systems. Firstly, it can lead to reduced overall system efficiency as the periods of downtime result in decreased productivity. Secondly, it can increase maintenance and repair costs as frequent start-ups and shutdowns may cause wear and tear on the equipment. Lastly, it can affect the reliability of the system, as intermittent operation may introduce unpredictability and potential instability.
3. What are the common causes of intermittency in mechanical systems?
Ans. There are various factors that can contribute to intermittency in mechanical systems. Some common causes include mechanical failures such as component malfunctions or breakdowns, power supply interruptions, human error, and scheduled maintenance or inspection activities. Additionally, environmental factors like extreme weather conditions or contamination can also lead to intermittent operation.
4. How can intermittency be mitigated in mechanical systems?
Ans. To mitigate intermittency in mechanical systems, proactive measures can be taken. This includes implementing preventive maintenance programs to identify and address potential issues before they lead to downtime. Regular inspections and equipment monitoring can help identify early signs of failure, allowing for timely repairs or replacements. Additionally, redundancy or backup systems can be put in place to minimize the impact of intermittent operation.
5. Are there any advancements in technology to address intermittency in mechanical systems?
Ans. Yes, advancements in technology have enabled the development of various solutions to address intermittency in mechanical systems. For example, the use of remote monitoring and predictive maintenance techniques allows for real-time monitoring of equipment performance and the ability to predict potential failures. Additionally, the integration of smart sensors and automation systems can optimize the operation of mechanical systems, reducing the occurrence of intermittent issues.
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