2019
DOI: 10.1080/0305215x.2018.1561885
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Adaptive improved response surface method for reliability-based design optimization

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Cited by 30 publications
(11 citation statements)
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“…Response surface method (RSM) and analysis of variance (ANOVA) were used to evaluate the effect of FSW parameters, including the tool rotational speed (A), tool traverse speed (B), and tool axial force (c), on the mechanical properties. The details of RSM and ANOVA are well explained in the literature [20,21] and for the sake of briefness are not elucidated in this paper. The design matrix is illustrated in Table 1, which is based on a central composite rotatable design (CCRD).…”
Section: Methodsmentioning
confidence: 99%
“…Response surface method (RSM) and analysis of variance (ANOVA) were used to evaluate the effect of FSW parameters, including the tool rotational speed (A), tool traverse speed (B), and tool axial force (c), on the mechanical properties. The details of RSM and ANOVA are well explained in the literature [20,21] and for the sake of briefness are not elucidated in this paper. The design matrix is illustrated in Table 1, which is based on a central composite rotatable design (CCRD).…”
Section: Methodsmentioning
confidence: 99%
“…In this paper, Response Surface Optimization Module of Design Explorer module in ANSYS Workbench is adopted to do DOE analysis for bionic CNC turntable, and the DOE analysis method is an experimental design method [33]. During the optimization process, DOE method is used to explore the relationship between design variables and optimization objective functions of bionic CNC turntable, and combines design variables and objective functions through response surface [34]. The relationship between the design variables and objective functions can be reflected intuitively by means of curves and surfaces.…”
Section: Ansys Workbench Structural Optimization Methodsmentioning
confidence: 99%
“…The obtained results are shown in Fig 6. The RMS (Response Surface Methodology) [9] analysis shows the influence of the welding parameters on the strength of the FSW joint (UTS) depending on the used tool (Fig. 7).…”
Section: Materials and Experimental Proceduresmentioning
confidence: 99%