Hallo everybody,

 

We are developing a new product (Electrical motor assembled with Gear set for the material handling applications).

 

We finished the modeling, and we just want to test the product physically with experiments. In this situations, we found that we have so many influencing parameters in the test, which will explode the number of experiments.

 

And Moreover its difficult to interperate the correlations between each and every parameteres from the results. In this case, I want to do a step wise procedure to get a optimal design for the experiments. If anybody , having some sort of worked out examples or guiding links to do a step wise DoE, Please help me out ny sending the material... thank you!

Hallo everybody,

 

...we just want to test the product physically with experiments. In this situations, we found that we have so many influencing parameters in the test...

 

 

Have you heard of Taguchi analysis? Not always popular as it can be a bit vague, but gives an indication of what variables are connected and are most prominent when optimising a system. You can then narrow down your experiments for further optimisation concentrating on the most prominent parameters. It allows many parameters to be varied at once and the results are put into a table and relationships are drawn. As I said - these relationships can then be looked at closer in a more traditional way. Hope this helps.