What type of design did you use for your experiment? If you used a 2-level factorial design, you can't get a quadratic model from it. You need a minimum of 3-levels for that.
First of all, you need to define the experimental designs that you will use. I suggest to use The CCD (Central Composite Design). In the case of your experiment (3 factors and 2 levels) you need: 8 factorial points, 6 axial points ((+/-alfa,0,0);(0,+/-alfa,0);(0,0,+/-alfa)) with alfa=square root of 3, and 2-5 central points (0,0,0). This design is the most commom, but you should verify the experimental region and see that these points (the axial points) are viables.
If the rage was strict (-1,+1), the best region could be the cuboidal, then you could use the Face Center Cube (CCD with alfa=1).
A Box Behnken design will also serve you well. The CCD Martin suggests will use about 15-20 samples. The Box-Behnken design will use 15-17 samples. It depends if you want to test 5 levels or 3. My preference is to use the BBD. The axial points in the CCD are only replicated once. IF you make a mistake, or those values are off in the proper direction, it can make a quadratic response look linear.
So, if I have run 2^2 full factorial design (A: pressure, B: temperature) with 3 cental point trials, can't I build a second order model? Using the central points, I can understand if a curvature is present..
Do I necessarily need the CCD, i.e. I have to run the axial point trials?