Regression rate of fuel in rocket nozzle

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Discussion Overview

The discussion centers on the mathematical modeling of the regression rate of fuel in a rocket nozzle, particularly focusing on the integration of differential equations related to time growth and stability conditions. Participants explore the implications of different constants and the integration process involved in deriving time growth equations.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant notes stability for n < 1 and instability for n > 1, indicating a need to integrate the equation for time growth but encountering issues with the presence of ln(δpc).
  • Another participant provides a method for integrating the equation ##\frac{1}{y}\frac{dy}{dt}=-C##, leading to the expression ##y = \frac{1}{e^{Ct}}##, suggesting this might clarify the integration process.
  • A follow-up post reiterates the integration steps and expresses confusion about the absence of the exponential term in the time growth equation presented in the referenced PDF.
  • Another participant addresses the time required for ##y## to change from ##y_0## to ##2y_0##, deriving a time expression of ##t = \frac{1}{C} \cdot \ln(2)##, while noting the scaling factor involved in such changes.

Areas of Agreement / Disagreement

The discussion reveals some agreement on the integration steps involved, but there is disagreement regarding the treatment of the exponential term in the time growth equation, with no consensus reached on how it is derived or its implications.

Contextual Notes

Participants express uncertainty about the integration process and the assumptions made regarding constants in the equations. The discussion also highlights a potential dependency on the definitions used in the equations presented.

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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