Application of the Box–Behnken design to the optimization of process parameters in foam cup molding

Wu, Long; Yick, Kit Lun; Ng, S.W.; Yip, Joanne

doi:10.1016/j.eswa.2012.01.137

Cited by 83 publications

(38 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two design approaches, central composite design (CCD) and Box-Behnken design (BBD), have been commonly used in response surface methodology. [36] It has been demonstrated that BBD is more efficient than CCD for a three-factor and three-level design since fewer experiments are required using the BBD approach. [37,38] Until now, there has been only very limited work focusing on the optimization of plasma processing of materials using the DoE method, [37,39] while the use of DoE for quick optimization of plasma chemical reactions, such as CO 2 conversion and utilization, has not been done before.…”

Section: Introductionmentioning

confidence: 99%

Optimization of CO₂ Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

Mei

Liu

et al. 2015

Plasma Process. Polym.

125

View full text Add to dashboard Cite

In this work, a coaxial dielectric barrier discharge reactor has been developed for the decomposition of CO 2 at atmospheric pressure. The response surface methodology based on a three-factor, three-level Box-Behnken design has been developed to investigate the effects of key independent process parameters (discharge power, feed flow rate, and discharge length) and their interactions on the reaction performance in terms of CO 2 conversion and the energy efficiency of the plasma process. Two quadratic polynomial regression models have been established to understand the relationships between the plasma process parameters and the performance of the CO 2 conversion process. The results indicate that the discharge power is the most important factor affecting CO 2 conversion, while the feed flow rate has the most significant impact on the energy efficiency of the process. The interactions between different plasma process parameters have a very weak effect on the conversion of CO 2 . However, the interactions of the discharge length with either discharge power or gas flow rate have a significant effect on the energy efficiency of the plasma process. The optimal process performance-CO 2 conversion (14.3%) and energy efficiency (8.0%) for the plasma CO 2 conversion process is achieved at a discharge power of 15.8 W, a feed flow rate of 41.9 ml Á min À1 and a discharge length of 150 mm as the highest global desirability of 0.816 is obtained at these conditions. The reproducibility of the experimental results successfully demonstrates the feasibility and reliability of the design of experiments approach for the optimization of the plasma CO 2 conversion process.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimization of CO₂ Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

Mei

Liu

et al. 2015

Plasma Process. Polym.

125

View full text Add to dashboard Cite

show abstract

“…To determine optimal settings, two approaches were considered: 1) a spreadsheet search of the full factorial results to find the maximum classification and verification performance and 2) employing nonlinear optimization methods to find potential optimal settings within the full factorial settings. Sequestered TST data was used to validate the settings in a process similar to that of [60].…”

Section: Grlvqi Optimization Frameworkmentioning

confidence: 99%

An Optimization Framework for Generalized Relevance Learning Vector Quantization with Application to Z-Wave Device Fingerprinting

Bihl¹,

Temple²,

Bauer³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

“…The principle of RSM was described by Annadurai et al [25] and Yuliwati et al [26]. Experimental BBD not only requires fewer experiments than other RSM designs under the same number of factors but also is more efficient than other three-level factorial designs [27]. In this study, a BBD with four factors, three levels and 27 runs was applied ( Table 1).…”

Section: Running Results and Analysis Of Rsmmentioning

confidence: 98%

Enhanced degradation of lignin in corn stalk by combined method of Aspergillus oryzae solid state fermentation and H 2 O 2 treatment

Guan

Zhang

Ding

et al. 2015

Biomass and Bioenergy

View full text Add to dashboard Cite

Application of the Box–Behnken design to the optimization of process parameters in foam cup molding

Cited by 83 publications

References 15 publications

Optimization of CO₂ Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

Optimization of CO₂ Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

An Optimization Framework for Generalized Relevance Learning Vector Quantization with Application to Z-Wave Device Fingerprinting

Enhanced degradation of lignin in corn stalk by combined method of Aspergillus oryzae solid state fermentation and H 2 O 2 treatment

Contact Info

Product

Resources

About

Application of the Box–Behnken design to the optimization of process parameters in foam cup molding

Cited by 83 publications

References 15 publications

Optimization of CO2 Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

Optimization of CO2 Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

An Optimization Framework for Generalized Relevance Learning Vector Quantization with Application to Z-Wave Device Fingerprinting

Enhanced degradation of lignin in corn stalk by combined method of Aspergillus oryzae solid state fermentation and H 2 O 2 treatment

Contact Info

Product

Resources

About

Optimization of CO₂ Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments

Optimization of CO₂ Conversion in a Cylindrical Dielectric Barrier Discharge Reactor Using Design of Experiments