Results

Vergleich von zwei Brücken, eine eingestürzt, mit einer Markierung und Beschriftung, die auf den eingestürzten Brückenteil zeigt.

Emperical Parameter Set on the Left and the Software Optimized Scaffold with the collapsed Bridges on the Left

My DoE model predicted a peak dimensional accuracy of 98.289% at LH 0.261 mm, RW 0.563 mm, MH 3.631 mm. In confirmation prints at that setting, I observed 97.52%, 97.17%, and 97.71% (mean 97.47%, s.d. ≈ 0.27%). Despite the high value, bridges collapsed at this “mathematical optimum,” so it was not practically usable.

I adopted a more robust set—LH 0.20 mm, RW 0.45 mm, MH 2.25 mm—which printed reliably with stable bridges and consistent accuracy (mean ≈ 97.14%). This window traded ~1% of theoretical accuracy for bridge integrity and repeatability, and became my recommended setting.

Layer Height dominated the response in the quadratic model; Raster Width and Mover Levitation Height had secondary/no significant effects over the tested ranges. Goodness-of-fit and residual checks supported using the model to guide settings, but final selection prioritized print stability over the absolute numerical peak.