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Response surface methodology central composite designs

Now if each of the design points in the central composite design is replicated five times, so that the complete design has 75 runs, then at each design point we can calculate the average response and the standard deviation of the response. The analysis techniques associated with response surface methodology can then be applied to fit separate models to... [Pg.37]

Chao Yuan [25] has optimized the preparation process of HP-)3-CDs. Reaction time (A) reaction temperature (B), dialysis time (C) were employed in the single factor experiment. Then, a central composite design of response surface methodology was used with the DS and yield response values. [Pg.152]

Optimization. The influence of the reaction parameters on the yield of the reaction were studied using response surface methodology (RSM). A central composite design was used and both canonical analysis of the second-order equation and discussion of the isoresponse curves were used for the interpretation of the results. [Pg.55]

The response surface methodology (RSM) is a combination of mathematical and statistical techniques used to evaluate the relationship between a set of eontrollable experimental factors and observed results. This optimization proeess is used in situations where several input variables influence some output variables (responses) of the system. The main goal of RSM is to optimize the response, whieh is influenced by several independent variables, with minimum number of experiments. The central composite design (CCD) is the most common type of seeond-order designs that used in RSM and is appropriate for fitting a quadratic surface [26,27]. [Pg.152]

The Box-Behnken is considered an efficient option in response surface methodology and an ideal alternative to central composite designs. It has three levels per factoi but avoids the corners of the space, and fills in the combinations of center and extreme levels (Figure 5). It combines a fractional factorial with incomplete block designs in such a way as to avoid the... [Pg.572]

Artificial neural networks and response surface methodology in combination with experimental design were developed. The optimisation by ANN and RSM in combination with a central composite design (CCD) was compared. [Pg.202]


See other pages where Response surface methodology central composite designs is mentioned: [Pg.186]    [Pg.248]    [Pg.700]    [Pg.3649]    [Pg.101]    [Pg.96]    [Pg.135]    [Pg.169]    [Pg.167]    [Pg.196]    [Pg.199]    [Pg.316]    [Pg.224]    [Pg.649]    [Pg.649]    [Pg.51]    [Pg.325]   
See also in sourсe #XX -- [ Pg.172 , Pg.173 ]




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