Response surface methodology parameters

Generalization of parameter design towards Response Surface Methodology (RSM)... 

Lipps, D. and Sakr, A.M. Characterization of wet granulation process parameters using response surface methodology. 1. Top-spray uidized bleffharm. Sci83 (1994), 937. 

Adinarayana, K., Ellaiah, P., Srinivasulu, B., Bhavani Devi, R., and Adinarayana, G. (2003b). Response surface methodological approach to optimize the nutritional parameters for neomycin production by Streptomyces marinensis under solid-state fermentation. Process Biochem. 38,1565-1572. 

Table 3 Observed and predicted values and variance parameters of cellobio-oligosaccharide yield (%) recorded in experimental setup of response surface methodology. ...

Response surface methodology (RSM) is utilized to develop mathematical relationships as well as for searching out optimal EMM process parameters setting to achieve the desired level of micro-machining performance criteria. EMM process criteria are measured during linear microchannel generation on copper workpiece, after each set of experimental mn based on experimental planning. The actual values of factors and their levels utilized for the RSM are listed in Table 8.3. 

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. 

In this work, we investigate the effect of four electrospinning parameters (solution concentration, applied voltage, tip to collector distance, and voliune Dow rate) on the average Cber diameter (AFD) and CA of electrospun PAN nanoCber mat. The aim of the present study is to establish quantitative relationship between electrospinning parameters and AFD and CA of electrospun Cber mat by response surface methodology. 

Response surface methodology (RSM) is a combination of mathematical and statistical tools which is effective for studying and modelling processes where responses are dependent on several operating variables [22]. The model parameters are estimated using the least squares method. In this work a CCD was selected, which is the most used method for fitting second-order models. 

Yordem, O.S., Papila, M. and Menceloglu, YZ. 2008. Effects of electrospinning parameters on polyacrylonitrile nanofiber diameter An investigation by response surface methodology. 34-44. 

Sukigara [115] studied the effect of electrospirming parameters (electric field, tip-to-collector distance and concentration) on the morphology and fiber diameter of regenerated silk from Bombyx mori using response surface methodology and concluded that the silk concentration was the most important parameter in producing uniform cylindrical fibers less than 100 run in diameter. 

Huang W, Li Z, Niu H, Li D, Zhang J (2008) Optimization of operating parameters for supercritical carbon dioxide extraction of lycopene by response surface methodology. J Food Eng 89 298-302... 

The experiment was statistically designed according to a Box-Behnken response surface methodology with three parameters, and flown by NASA on a KC 135 plane in October 1989 under the direction of the Canadian Space Agency (CSA). 

Table 19.1 shows the experimental design and results of CCD of response surface methodology. The factors levels are 3.5, 5, and 6.5 for pH, 20, 40, and 60 g/1 for L, 0, 100, and 200 mg/1 for NTC, and 0.03, 0.3, and 0.6 g/1 for Y. In the last column, the obtained RF values are shown. The effects of the parameters on the RF were calculated and the parameters which showed P-values less than 0.05 were taken into account in the model the other parameters were actually undistinguishable from noise. The significant terms, as shown in Table 19.2, are pH, Y, NTC, pH, and pH-L. Then, by eliminating the other terms from the model (except L to support hierarchy as requested from the methodology (Box et al., 1978)), Eq. (2) was obtained as a function of the significant factors. 

Pranabendu, M.. Venkatesh, M., 2009. Optimization of microwave-vacuum drying parameters of Saskatoon berries using response surface methodology. Drying Technol. 27(10) 1089-1096. 

---