New ideas · Data Alchemy

New ideas

I’m not sure whether it’s working or not, because I’m in a suspension company, damper setting is a really time-consuming works, is that possible using machine learning or deep learning to get optimized results of shims setting .

There have some data I could get

I have dynamic testing machines to know different damper result from different shims settings.
I can set specific speed and record these testing results in these speed
This all data could be used on the model.

Different shims settings will output different damper results.

I hope that I only need to input the target damper, piston type, and spring rate.

And I could get the shims settings from computer

Does this thought works?

3 comments