Explore ceramic membrane microfiltration modeling through a published research reference related to Environmental & Water Resources / Water Supply & Treatment / Water Quality Modeling. This M.Tech resource summarizes the available source and suggests questions to validate before choosing an implementation.
Ceramic membrane microfiltration modeling: source and project details
| Research overview |
This research-based project resource provides academic guidance on modeling and optimizing crossflow microfiltration processes using silicon carbide (SiC) ceramic membranes. Based on the reference study, the optimization of operating parameters—specifically pressure and temperature—is evaluated using two distinct mathematical frameworks: Response Surface Methodology (RSM) via a face-centered design (FCD), and Artificial Neural Networks integrated with a Genetic Algorithm (ANN-GA). The source study reports that experimental validation at 75 kPa and 30 °C yielded a permeate flux of 605.32 ± 15.34 L h−1 m−2 and a fouling index of 82.79 ± 1.35% at a volume reduction ratio (VRR) of 1.
While the ANN model demonstrated superior sample-level fit statistics, the quadratic FCD/RSM model exhibited better generalization and lower root mean square error of cross-validation (RMSECV) under leave-one-condition-out testing. Concentration polarization was identified as the primary resistance mechanism. This resource supports M.Tech students in structuring comparative modeling frameworks, analyzing membrane fouling resistances, and developing simulation-based evaluations of microfiltration systems for environmental, agricultural, or water treatment applications.
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| Reference Paper |
Green Coconut Biorefinery: RSM and ANN–GA Optimization of Coconut Water Microfiltration with IntegratedTechno-Economic Analysis |
| Publication year (source record) |
2026 |
| Source document classification |
Research reference (type not independently verified) |
| Discovered via |
DOAJ metadata |
| Authors (source metadata) |
José Diogo da Rocha Viana, Moacir Jean Rodrigues, Arthur Claudio Rodrigues de Souza, Raimundo Marcelino da Silva Neto, Paulo Riceli Vasconcelos Ribeiro, José Carlos Cunha Petrus, Ana Paula Dionísio |
| Publication type (source metadata) |
journal-article |
| Journal / conference (source metadata) |
Foods |
| Publisher (source metadata) |
MDPI AG |
| DOI (from source metadata) |
10.3390/foods15040623 |
| Metadata consistency check |
DOI registration metadata compared with indexed record; original PDF text not independently verified. |
| Evidence reviewed by generator |
Indexed abstract/description only; original full text, author names in PDF and methods require editorial verification. |
| Domain |
Civil Engineering |
| Sub-Domain |
Environmental & Water Resources / Water Supply & Treatment / Water Quality Modeling |
| Research source |
View research source |
| Get Help |
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Message: Hi FE, I need help with “Green Coconut Biorefinery: RSM and ANN–GA Optimization of Coconut Water Microfiltration with IntegratedTechno-Economic Analysis” in “Civil Engineering”
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Project or research direction
This is a source-backed research starting point, not a tested, ready-made student project. Any implementation requires independent feasibility, safety and results verification.
Possible tools or components to evaluate
MATLAB (for ANN-GA modeling), Design-Expert / Minitab (for RSM/FCD analysis), Python (Scikit-learn/TensorFlow for comparative cross-validation), Excel/Aspen Plus (for techno-economic analysis modeling)
Suggested verification steps
- Read the cited paper and check which methods, parameters and results it actually reports.
- Define a measurable project objective and list equipment or software you can access.
- Validate the proposed approach independently before claiming results, working code or experimental success.
Implementation ideas above are planning suggestions, not claims that the cited researchers built or tested those exact extensions.
Explore related M.Tech project topics or browse the engineering resource library for different methods and reference papers.
