The current Ansys directory for learning is not good.
Most of the videos are aimed at only garbage-in, garbage-out.
Plus the fact that most of the videos are AI voiceovers with no explanation as to why they’re doing x.
What’s a better alternative?
From imagination to innovation. 🔥
The Lagos SWUG Design Competition Grand Finale 2.0 goes down Sept 26, 1 to 4 PM at Arthur Mbanefo Research Center.
Designers, engineers, this is your stage. ⚪️🔵
RSVP here: https://t.co/qY8DLuKgpK
See you there!
#LagosSWUG#Designcompetition
There are no secrets.
99% of the population can not follow simple directions.
People have apps that remind them they need to drink. TO DRINK. The most basic human instinct.
Someone asked what I'd do if I were 17. I'd learn how to build LLMs from scratch, and then train ones as powerful as I could with whatever hardware I could get access to.
A robot is a reprogrammable multifunctional manipulator designed to move materials, parts, tools or specialized devices through variable programmed motions for the performance of a variety of tasks.
~ Robotic Institute of America
Topology optimization? Of course you thought it would solve your problems. You fed the solver a single static load case and watched it chug on von Mises stress like it was Gatorade, all while completely ignoring principal stresses and actual mechanical properties.
Let me guess -- you just finished the SolidWorks Simulation or Autodesk Fusion generative-design marketing deck (or maybe the Ansys webinar), and now you think organic lattices are the future because the pretty red-to-blue plot said so.
You’re going to believe that right up until the first prototype hits the machine shop and they call you, asking why the flanges are thinner than the paper your college degree -- the one you Chegged your way through -- was printed on. Then the part buckles laterally under a moment that wasn’t even in your load case, crumples, and suddenly it’s your problem.
While you’re dealing with that, you’ll finally notice that the “optimized” geometry has internal corners that act as stress risers, which the solver didn’t catch because the mesh was too coarse. Whoops. Now your impossible-to-reach toolpaths are forcing the shop to either use EDM or scrap the whole batch because you gave zero thought to how the part would actually be fixtured, inspected, or survive any real manufacturing process. The QC guys aren’t even turning the CMMs on; they’re just laughing the drawings back to the office.
Then you’ll finally open Hibbeler’s Mechanics of Materials for real this time -- not just to regurgitate the von Mises formula -- and you’ll read the sections on lateral-torsional buckling and realize that the critical moment drops with the cube of the flange thickness and the square of the unbraced length. Your solver maximized both penalties while smiling at you. It never checked geometric nonlinearity. It never asked whether the material was ductile enough for the equivalent-stress assumption to hold. It never cared.
After that, you’ll crack open Timoshenko or the AISC specs, stare at the LTB equations, and it will hit you: topology optimization isn’t failing because the algorithms are bad. It’s failing because you treated a single-parameter stiffness game like it was engineering.
Anyway, Dave from a subsystem four teams away needs to move a bolt pattern over a quarter inch. Do you want to throw your CAD model away, or should I do it for you?