Regression rate of fuel in rocket nozzle

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SUMMARY

The discussion centers on the mathematical modeling of fuel regression rates in rocket nozzles, specifically analyzing stability conditions where n < 1 indicates stability and n > 1 indicates instability. The participants delve into integrating the equation ##\frac{1}{y}\frac{dy}{dt}=-C##, leading to the conclusion that the time required for the variable y to change from an initial value of ##y_0=1## to ##2y_0## is given by the formula ##t = \frac{1}{C} \cdot \ln(2)##. The integration process and the removal of the exponential function from the time growth equation are key points of confusion addressed in the discussion.

PREREQUISITES
  • Understanding of differential equations, particularly the integration of the form ##\frac{1}{y}\frac{dy}{dt}=-C##.
  • Familiarity with logarithmic and exponential functions, especially in the context of growth rates.
  • Knowledge of stability analysis in dynamical systems, specifically regarding the parameters n < 1 and n > 1.
  • Basic principles of rocket propulsion and fuel regression dynamics.
NEXT STEPS
  • Study the integration techniques for differential equations, focusing on separable equations.
  • Research the implications of stability conditions in propulsion systems, particularly in rocket nozzle design.
  • Explore the relationship between logarithmic growth and time in chemical propulsion systems.
  • Examine case studies on fuel regression rates in various rocket designs to understand practical applications.
USEFUL FOR

Aerospace engineers, propulsion system designers, and students studying rocket dynamics will benefit from this discussion, particularly those interested in the mathematical modeling of fuel regression rates in rocket nozzles.

TimeRip496
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upload_2017-12-14_12-52-45.png

So we have: stability for n < 1
instability for n > 1
upload_2017-12-14_12-53-43.png


I assume to get the time growth, I have to integrate the above first eqn. However I also get ln(δpc) at the LHS from the integrating. However the above equation for time growth removed that ln(δpc) and thus I can't seem to get past this part.

Source: https://ocw.mit.edu/courses/aeronau...pring-2012/lecture-notes/MIT16_50S12_lec9.pdf
 

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When ##\frac{1}{y}\frac{dy}{dt}=-C## then integrating both sides leads to ## \ln(y) = -Ct ## (neglecting the constant of integration)
Taking the exponential of the left side leads to ## \exp(\ln(y)) = e^{\ln(y)} = y ##
Taking the exponential of both sides leads to ##y = \exp(-Ct) =\frac{1}{e^{Ct}}##
hope this helps.
 
bigfooted said:
When ##\frac{1}{y}\frac{dy}{dt}=-C## then integrating both sides leads to ## \ln(y) = -Ct ## (neglecting the constant of integration)
Taking the exponential of the left side leads to ## \exp(\ln(y)) = e^{\ln(y)} = y ##
Taking the exponential of both sides leads to ##y = \exp(-Ct) =\frac{1}{e^{Ct}}##
hope this helps.
Thanks I get this part. However the one shown on the pdf does not have the exponential for the time growth equation. How did they arrive at the above equation while getting rid of the exponential?
 
well, how much time does it take for ##y## to change from ##y_0## at ##t=0## to say ##2y_0##?

at ##t=0## we have ##y=\exp(0) = 1 ##, so ##y_0=1##
and at time t, we have from the equation ##\ln(y) = Ct## (I make it positive here because your equation has a negative constant):
##t = \frac{1}{C} \cdot \ln(2) ##

so to double ##y##, it takes ##t = \frac{1}{C} \cdot \ln(2) ## seconds, with a scaling factor for doubling (or tripling or whatever) of ## \frac{1}{C}##

hope this helps...
 

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