Enhancement and optimization of membrane distillation processes: A systematic review of influential mechanisms, optimization and applications

Desalination, Journal Year: 2024, Volume and Issue: 586, P. 117862 - 117862

Published: June 19, 2024

Language: Английский

---

Efficiency increment of CFD modeling by using ANFIS artificial intelligence for thermal-based separation modeling

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104820 - 104820

Published: July 11, 2024

This study presents a comprehensive analysis of predicting the temperature in vacuum membrane distillation (VMD) process. The simulation was carried out via computational fluid dynamics (CFD) as well machine learning. CFD performed for obtaining distribution feed solution, and calculated used training several learning models. dataset comprises over 13,000 observations, which provide rich source modeling complex relationships. Three sophisticated regression models were employed: Adaptive Neuro-Fuzzy Inference System (ANFIS), Kernel Ridge Regression (KRR), Multi-Layer Perceptron (MLP). ANFIS chosen its hybrid nature, combining neural networks fuzzy logic, effectively capturing intricate non-linear relationships data. performance fitting data compared with other Hyper-parameter optimization these conducted using Tabu Search algorithm to ensure optimal performance. model demonstrated superior an R2 score 0.9964513 on set 0.9964507 test set, alongside MSE 0.037655 MAE 0.168272. robustness further confirmed by 3-fold cross-validation mean 0.9964579 standard deviation 3.3619616e−05.

Language: Английский

---

ZIF-71/MWCNTs membrane with good mechanical properties and high selectivity for simultaneous removal and electrochemical detection of Hg(II)

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129389 - 129389

Published: Aug. 30, 2024

Language: Английский

---

Comparison of Different Polymeric Membranes in Direct Contact Membrane Distillation and Air Gap Membrane Distillation Configurations

Membranes, Journal Year: 2025, Volume and Issue: 15(3), P. 91 - 91

Published: March 13, 2025

Membrane distillation (MD) is an evolving thermal separation technique most frequently aimed at water desalination, compatible with low-grade heat sources such as waste from engines, solar collectors, and high-concentration photovoltaic panels. This study presents a comprehensive theoretical–experimental evaluation of three commercial membranes different materials (PE, PVDF, PTFE), tested for two distinct MD modules—a Direct Contact Distillation (DCMD) module Air Gap (AGMD) module—analyzing the impact key operational parameters on performance individual in each configuration. The results showed that increasing feed saline concentration 7 g/L to 70 led distillate flux reductions 12.2% DCMD 42.9% AGMD one, averaged over whole set experiments. increase temperature 65 °C 85 resulted fluxes up 2.36 times higher 2.70 one. PE-made membrane demonstrated highest fluxes, while PVDF PTFE exhibited superior under high-salinity conditions module. Membranes high contact angles, 143.4°, performed better salinity conditions. Variations parameters, flow rate temperature, markedly affect polarization effects. analyses underscored necessity careful selection type configuration by specific characteristics process its In addition experimental findings, proposed mass transfer-reduced model good agreement data, deviations within ±15%, effectively capturing influence parameters. Theoretical predictions confirming model’s validity, which can be applied optimization methodologies improve process.

Language: Английский

---

Enhancement of electrode surface hydrophilicity and selectivity with Nafion-PSS composite for trace heavy metal sensing in electrochemical sensors

Analytica Chimica Acta, Journal Year: 2024, Volume and Issue: 1335, P. 343423 - 343423

Published: Nov. 14, 2024

Language: Английский

---