For background:
We have a polymer and are looking to adjust its thermal and mechanical properties to resemble the properties of a commercially available polymer to present it as a viable alternative material.
We want to do this by adding a number of additives that are known to improve those properties. We have determined a range of additives we would like to test for their effects on the polymer's properties.
The problem:
I am unsure of a method to determine the best possible combination/ ratio of additives to produce the closest properties. I would like to be able to test different combinations/ concentrations of additives in an efficient way and determine which combination has the best overall effect on the properties.
I initially was considering using a Taguchi Method, however as far as I understand, Taguchi Methods are not suited for properties with interaction/ variables that confound? Is this an issue for this application? Is there a method of determining the optimal combination that would be better suited?