Use of the RDPP-SF Method for Robust Design of Dynamic AM-Fused Deposition Modeling Process

In manufacturing processes, dynamic systems are extensively used, and finding out the optimal setting of the signal and the operating parameters, which yields the least sensitive design solution about the process responses is a crucial issue. The article proposes a stochastic method (RDPP-SF), which can account for uncertainty in dynamic systems. The method determines the optimal design solution while providing estimates of the natural part-to-part and noise variation components. The virtue of the proposed method is finally demonstrated using an AM-FDM process to monitor the variability in the X, Y, and Z directions of part geometry about a hypothetic CAD model.