CAE-Based six sigma robust optimization for deep- drawing process of sheet metal

Multiobjective robust design optimization of fatigue life for a truck cab

“…As a traditional method, the dual response surface (DRS) method adopts polynomial response surfaces (PRS) to model both mean and variance functions, which has been widely adopted in robust designs in literature [18,[30][31][32][33], e.g. quadratic polynomials given aŝ…”

Variable fidelity design based surrogate and artificial bee colony algorithm for sheet metal forming process

“…Later, they further improved this in an iterative RSM [31]. More recently, Li et al [10] developed a robust design approach by using RSM, which took into account the fluctuation of design variables. Tang et al [16] also addressed the design of constraining force for minimizing the thickness difference subject to the constraints of failure criteria, where the one step method was adopted in constructing response functions.…”

“…Various computational optimization algorithms provide us with effective tools for the above mentioned design problems [7][8][9][10][11][12][13][14][15][16][17][18]. To apply conventional mathematical programming methods, two demanding computing issues must be involved: finite element analysis (FEA) and sensitivity analysis [1].…”

Applying surrogate variables to deal with destructive characteristics for robustification using Six Sigma methodology

“…As Arthur and Irving [25] indicated, the Six Sigma method defines and uses tools for process investigations and improvements. Li, Cui, Ruan and Zhang [16] demonstrated a CAE-based Six Sigma robust design procedure with the purpose to eliminate the effects of uncertainties in design in order to improve quality. They also exemplified deep-drawing processes of a square cup and a cylindrical cup.…”