Empirical Modeling of Roughness Parameters in Drilling Composites- A Response Surface Approach

A dimension-reduction based Chebyshev polynomial method for uncertainty analysis in composite corrugated sandwich structures

“…Although the combination of MCS and finite element analysis can directly deal with the uncertainty of composite materials and is relatively simple, MCS requires a large number of samples and a large amount of calculation, which cannot be accepted by the project. To improve calculation efficiency and reduce calculation costs, some scholars propose to analyze the uncertainty of composite materials by using surrogate models, mainly including response surface methodology (RSM) 9,[18][19][20][21][22][23] , radial basis function (RBF) [24][25][26] and Kriging model. [27][28][29][30][31][32] Kumar 23 established a 2D finite element model based on higher-order zigzag theory and studied the failure probability of composite/sandwich shells using MCS and RSM.…”

“…Srinivasan 21 built an RSM-based surrogate model for the wear strength of aluminum hybrid metal matrix composites, and optimized the manufacturing process parameters that were considered as uncertain. Prakash 22 set up an RSM-based surface roughness model of composite panels by using spindle speed, feed rate and drilling diameters as input variables, and studied the influence of drilling parameters on surface roughness. Carrere 9 considered the material uncertainty and used RSM to study the effect of the uncertainty parameter on the composite structure.…”