In a previous post, a few months back, I made the suggestion of using not commonly used parameters to set up a Do- Loop methodology meeting several conditions to achieve optimization in Generative Designed Model. Apparently not many understood how using the function "cylindrify" can be a part of that optimization process. This is now my second attempt to explain this clearer.
An Optimized model :
A) Simple - least amount of geometric complexity
A5) Meets intended function
B) Meets all weight and strength requirements - including omni- directional strength so that the model cant bend or break in odd places the GD analysis didn't cover. Making the model robust with cylindrify function
C) Least amount of surfaces that covers the working volume
D) The smallest possible ratio between the largest G2,G3,G4 surface patch and smallest - so they are close to same size within reason and function.
Item D - I think an algorithm can be developed using the cylindrify function to "flesh out" in the right areas the 1st generation of GD model. BY counting surfaces, Surface area of G2,3,4 patches and the ratio of largest to smallest patches. You can ask the computer algorithm to increase cross-sectional area of spindly members in a Do loop methodology until the least amount of surfaces, smallest surface patch size ratio is achieved , least weight and strength are met with meeting all functional requirements that approaches the theoretical optimum. Although cylindrify is a manual function, I can see it be used to reach an optimized design state becoming another tool of dynamic digital sculpting in Fusion 360.
Thanks,
John ( formerly gfandjwdello@att.net)
