S

#### seasonal

1- Materials --(4 materials)

2- Coolants ---(3 coolants)

3- Cutting depth --(2 depths <25,50>)

4- Cutting numbers--(2 times <1 cut--2 cuts>)

5- Grit size -- 3 sizes(Fine --Medium --Coarse)

Response ;

1- strength

2- roughness

I run 48 samples using DOE and then run the analysis .I got the result attached but doesn't know which factor is more significant? I don't know how to save imp fie and send it here.

Fit Model(

Y( :Flexural Strength ),

Effects(

:Material,

:Bur Grit Size,

:Coolant Fluid,

:Cutting Depth,

:Number of Cuts,

:Material * :Bur Grit Size,

:Material * :Coolant Fluid,

:Material * :Cutting Depth,

:Material * :Number of Cuts,

:Bur Grit Size * :Coolant Fluid,

:Bur Grit Size * :Cutting Depth,

:Bur Grit Size * :Number of Cuts,

:Coolant Fluid * :Cutting Depth,

:Coolant Fluid * :Number of Cuts,

:Cutting Depth * :Number of Cuts

),

Random Effects( :Whole Plots ),

Personality( Standard Least Squares ),

Method( REML ),

Emphasis( Minimal Report ),

Run(

:Flexural Strength << {Analysis of Variance( 0 ), Lack of Fit( 0 ),

Plot Actual by Predicted( 0 ), Plot Regression( 0 ),

Plot Residual by Predicted( 0 ), Plot Effect Leverage( 0 )}

)

)