Solving Steady-State Temperature Distribution

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SUMMARY

The discussion focuses on solving the steady-state temperature distribution for a spacecraft modeled as a hexagonal prism with nine nodes. The equations involve heat transfer from solar radiation, Earth radiation, and conduction, leading to a nonlinear system. The user initially attempted to use Excel's Solver Add-In but found it inaccurate and later switched to Matlab's fsolve function for a more reliable solution. The consensus is that while Excel has its uses, tools like Matlab are better suited for scientific applications.

PREREQUISITES
  • Understanding of thermal modeling concepts
  • Familiarity with nonlinear equations
  • Proficiency in Matlab programming
  • Knowledge of heat transfer principles
NEXT STEPS
  • Research the finite difference method for solving partial differential equations
  • Learn how to implement fsolve in Matlab for nonlinear systems
  • Explore advanced heat transfer modeling techniques
  • Investigate the limitations of Excel for scientific computations
USEFUL FOR

Engineers, thermal analysts, and researchers involved in spacecraft design and thermal management who seek effective methods for modeling temperature distributions.

thermalguy
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Hi, question for some experienced thermal guys out there. I'm modeling a spacecraft and would like to know the steady-state temperature distribution with say 9 nodes (i.e. a hexagonal prism with one node on each of the 8 faces and one in the very middle).

So, my [9] equations are e*sigma*area*T^4 = Qsun + Qearth + Qconduction(linear in temperature) + ... (there are 8 of those equations, one for each face of the hexagonal prism). The 9th equation would be Qconduction1(linear in temperature) + Qconduction2(same) + ... + Qinternal = 0 for the inner 9th node (ignoring internal radiation for the moment).

Since this system of equations is nonlinear, what would be the best way to go about solving for the steady-state temperatures? I've tried using Excel's solver add-in with a least-squares analysis, but it doesn't seem very accurate. Any ideas? Thanks for any input.

-thermalguy
 
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Well, what a nice topic.

Try finite differences. i would recommend using Matlab for development, if you have the skills. If you haven't, fell free to reply, I'd love to help. I spent some time studying this at a summer course.

Excel is not really for scientific applications. Leave it alone at the finances department, where it is intended to be =)
 
Mmm Excel

Hey, thanks for replying. I ended up using fsolve in Matlab...not sure why Excel was bugging out. I believe the Solver Add-In uses a least-squares fit, so you have to start with initial conditions close to the steady-state temperatures. I've used it this way before but with fewer equations...with radiation, too. Anyway, I happen to think Excel is a wonderful science tool. NASA guys use it all the time ;) But you're right, there are better programs out there. Thanks again.

-thermalguy
 

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