Response surface methodology (RSM) for predicting and optimizing the pressure drop in submerged multi-jet electrolyte flow system

Abstract. Submerged multi-jet electrolyte flow systems require efficient design and operation to support a variety of industrial operations, including electrochemical machining and electroplating. In this work, we give a thorough analysis of the optimization and prediction of pressure drop in such systems through the use of Response Surface Methodology (RSM). First, under various operating conditions, experimental data are gathered from a prototype submerged multi-jet electrolyte flow configuration. Further, empirical models illustrating the connection between process factors and pressure drop are produced using the Response Surface Methodology. There is less than 0.2 discrepancy between the adjusted R² of 0.9988 and the expected R² of 0.9986, indicating a fair agreement in the pressure drop measurement. In submerged multi-jet electrolyte flow systems, the suggested methodology provides a methodical and effective way to forecast and optimize pressure drop. This allows for improved process performance and efficiency in industrial applications.

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Publication Details

Journal
Materials research proceedings
Published
2025-02-12
DOI
https://doi.org/10.21741/9781644903414-76
Primary Topic
Fuel Cells and Related Materials
Type
article
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article

Response surface methodology (RSM) for predicting and optimizing the pressure drop in submerged multi-jet electrolyte flow system

Yara Sami H. ALGHANNAM
Materials research proceedings
Fuel Cells and Related Materials
article

Response surface methodology (RSM) for predicting and optimizing the pressure drop in submerged multi-jet electrolyte flow system

Yara Sami H. ALGHANNAM
article en

Abstract

Abstract. Submerged multi-jet electrolyte flow systems require efficient design and operation to support a variety of industrial operations, including electrochemical machining and electroplating. In this work, we give a thorough analysis of the optimization and prediction of pressure drop in such systems through the use of Response Surface Methodology (RSM). First, under various operating conditions, experimental data are gathered from a prototype submerged multi-jet electrolyte flow configuration. Further, empirical models illustrating the connection between process factors and pressure drop are produced using the Response Surface Methodology. There is less than 0.2 discrepancy between the adjusted R² of 0.9988 and the expected R² of 0.9986, indicating a fair agreement in the pressure drop measurement. In submerged multi-jet electrolyte flow systems, the suggested methodology provides a methodical and effective way to forecast and optimize pressure drop. This allows for improved process performance and efficiency in industrial applications.

Materials research proceedingsVol. 48
Prince Mohammad bin Fahd University (SA)
Openalex Percentile: Top 98%
Fuel Cells and Related Materials
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Response surface methodology (RSM) for predicting and optimizing the pressure drop in submerged multi-jet electrolyte flow system — Yara Sami H. ALGHANNAM · Materials research proceedings (2025) | TGRS Research Map | TGRS