"Design of Experiments" in Flux

User: "rorythornton"
rorythornton
Altair Community Member
Updated by rorythornton

Hello,

 

I have modelled the following arrangement of permanent magnets in Flux:

 

<?xml version="1.0" encoding="UTF-8"?>image.thumb.png.8fbfb02c6d1ba5e2f5591c2aa0353a47.png

 

  • The four smaller disc magnets (with white lines) are stationary
  • The two larger ones (with black lines) rotate together about the centreline shown
  • From this simulation, I have plotted a torque deflection curve for the different position of the rotating magnets
  • A fitting curve is then applied to this and the equation of that line gives me the stiffness coefficients produced from the magnetic interaction

 

I am looking to optimise the design of this to give me specific stiffness characteristics. I have read about something called 'Design of Experiments' that allows you to input a range of values for multiple variables into a model, define the output variable that you want and then run a simulation that finds the permutation of inputs that yield the required output (or the closest achievable).

 

My question is: Does Altair Flux have any Design of Experiments tools in it that can allow me to do this?

 

The input variables for my model are:

  • Disc magnets size
  • Disc magnets material
  • Radius of magnets rotation from centreline
  • Max angle that the rotating magnets can deflect 

 

My required output is:

  • A Torque deflection curve with a 3rd order line of best fit that has the largest x^3 coefficient while having lowest x coefficient
  • Aka, a torque deflection curve that is as close to a y=x^3 graph as possible
  • image.png.ec5429f1a6ba92d7d2118b92a5079b94.png

 

Any advice on this would be greatly appreciated, even if it's just ways to run a single simulation with as many different input variables as possible to reduce the total number of simulation I need to do to optimise the design.

 

Many Thanks


Rory

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