How to insert factors that are linked with each other in a DOEHi all,
I want to design an experiment on biomass pyrolysis in JMP 18. I have 6 target values (e.g., mass yields of the different pyrolysis products) and I want to include the biomass composition and the pyrolysis temperature as experimental factors.
For the temperature, I know how I have to include it (steady factor with lower and upper boundary).
The biomass composition should be divided into 4 different parameters, i.e., lignin, cellulose, hemicellulose and ash content. With that, I want to generate a model that can predict e.g., biochar yields based on the biomass composition and pyrolysis temperature. I will use four different biomasses, i.e. the contents of these different parameters are predefined and also linked with each other (i.e., Biomass 1 has a lignin content that is linked with its cellulose, hemicellulose and ash content). How should I include the biomass composition in the model as a factor? I thought about a 4-staged discrete numerical factor for each biomass parameter. Would that be valid? That means I would end up with 4 individual discrete numerical factors for the biomass composition alone. Is there a way to tell JMP that the individual stages of each of these factors are linked to each other (so that I don't end up with a higher number of experiments than actually needed)?
Thanks a lot for your help.
Best regards
Jannis
Design of ExperimentsRe: How to insert factors that are linked with each other in a DOE..so it would look like that :
Each column for the individual contents of lignin, cellulose, hemicellulose and ash would stand for one biomass.
Re: How to insert factors that are linked with each other in a DOEHi @jgrafmu2,
Welcome in the Community !
What you're describing for the composition of the biomass seems to be a mixture situation, as the 4 components add up to a specific fixed sum, and you're interested in the ratios of each components in this mixture (instead of the individual quantities).
So it seems a Custom design with 4 mixture factors (for biomass composition, expressed as ratios and not quantities) and 1 numeric continuous or discrete factor for temperature could be used in your experimental setup. You can find an example of this type of design here : https://www.jmp.com/support/help/en/18.1/#page/jmp/mixture-design-with-nonmixture-factors.shtml#
If you need more guidance in the design building, please provide more details about the objective, factors, model assumed, and experimental budget available.
I hope this first answer will guide you,
Re: How to insert factors that are linked with each other in a DOEDear Victor,
thanks a lot! That is exactly what I was looking for.
Best regards
Jannis
