Methods for experimental design, central composite design and the Box–Behnken design, to optimise operational parameters: A review
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Abstract
Abstract In recent years response surface analysis has been increasingly used to optimise membrane separation. It has many advantages, such as reducing the number of experiments to be performed, which requires lower energy consumption and significantly less laboratory work. For more accurate data analysis and forecasting, mathematical models are used that analyse the relevance of the factors examined and the interaction effects between the factors. In this research, two experimental designs that use response surface methodology are presented, namely, the central composite design and the Box–Behnken design. After the general characterisation of the experimental designs, their application in membrane technology…
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224
total citations
- FWCI
- 53.58
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- 100%
- References
- 81
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Authors
6Topics & keywords
Topics
Keywords
- Box–Behnken design
- Response surface methodology
- Central composite design
- Design of experiments
- Composite number
- Process engineering
- Computer science
- Biochemical engineering
UN Sustainable Development Goals
- Affordable and clean energy
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