Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones

Modelling a process or equipment is a profitable strategy to build better control strategies, predict fault conditions, and optimize the processes. Different approaches could be explored to achieve the development of better models. This paper investigates the use of experimental data generated by a...

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Bibliographic Details
Published in:Canadian journal of chemical engineering 2023-01, Vol.101 (1), p.380-399
Main Authors: Santos, Lucas F. L., Ferreira, Bruno X., Brandão, Amanda L. T., Santos, Brunno F.
Format: Article
Language:English
Subjects:
artificial neural network
Artificial neural networks
Control equipment
Design of experiments
Hydrocyclones
Modelling
Neural networks
Performance prediction
Response surface methodology
three‐product hydrocyclone
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Summary:Modelling a process or equipment is a profitable strategy to build better control strategies, predict fault conditions, and optimize the processes. Different approaches could be explored to achieve the development of better models. This paper investigates the use of experimental data generated by a central composite rotatable design (CCRD) to develop models capable of predicting the performance of a three‐product hydrocyclone for several setups with different dimensional parameters values. Two different modelling strategies are explored: response surface methodology (RSM) and artificial neural networks (ANN). With the RSM models, it was possible to evaluate the statistical importance of the input variables to each output variable. The ANN models showed improved coefficients of determinations (R2) compared to the RSM models, presenting values higher than 97% for all cases, while the RSM models ranged from 79.07%–88.83%. The ANN was demonstrated to be the most effective method to model the physical problem of three‐product hydrocyclones, and it captured its non‐linearities. It was shown that the combination of the design of experiments and ANN to analyze this physical problem is successful and may also be applied to other problems. As far as we have knowledge, a work regarding the comparison of both RSM and ANN methods applied to three‐product hydrocyclones was not found in the literature; this absence was the motivation for this work.
ISSN:0008-4034
1939-019X
DOI:10.1002/cjce.24409