Advanced turbulence modeling approaches for water treatment processes: a comprehensive review
Yazarlar (7)
Öğr. Gör. Dr. Gülnur HAÇAT YILMAZOĞLU
Yalova Üniversitesi, Türkiye
Doç. Dr. Mesut YILMAZOĞLU
Yalova Üniversitesi, Türkiye
Aytekin Çıbık
Gazi Üniversitesi, Türkiye
Noureddine El Messoaudi
Imam Mohammad Ibn Saud Islamic University, Suudi Arabistan
Youssef Miyah
Université Sidi Mohamed Ben Abdellah, Fas
Salah Knani
Northern Border University, Suudi Arabistan
Mouslim Messali
Imam Mohammad Ibn Saud Islamic University, Suudi Arabistan
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Water Process Engineering (Q1) | ||
| Dergi ISSN | 2214-7144 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2025 |
| Cilt / Sayı / Sayfa | 80 / 1 / – | DOI | 10.1016/j.jwpe.2025.109102 |
| Makale Linki | https://doi.org/10.1016/j.jwpe.2025.109102 | ||
| Özet |
| This review provides a comprehensive overview of the use of turbulence modeling approaches in water treatment systems in light of modeling techniques and experimental validation processes. The inherently multiscale and chaotic character of turbulence makes the direct solution of the classical Navier-Stokes equations both theoretically and computationally challenging. In this context, the main differences between direct numerical simulation (DNS), large eddy simulation (LES), and Reynolds-averaged Navier-Stokes (RANS) methods are compared in terms of computational cost, solution accuracy, and application area. The performance of different turbulence models in unit operations such as various reactors, pipe flows, and settling ponds used in water treatment applications is evaluated through case studies supported by literature. Additionally, the experimental techniques (PIV, LDA, tracer tests, etc.) used to validate these models are discussed in terms of their reliability. The findings show that LES and DNS methods are superior to RANS models in complex flow structures due to their capacity to provide high-resolution details; however, RANS is widely preferred in engineering applications due to its low-cost advantage. As a result, it is emphasized that model selection should be made carefully according to the application purpose, system scale, and accuracy requirement. |
| Anahtar Kelimeler |
| Turbulence modeling | Computational fluid dynamics | Water treatment processes | Flow simulation |
Science Direct
Advanced turbulence modeling approaches for water treatment processes: a comprehensive review
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 1 |
| SCOPUS | 1 |
| Google Scholar | 1 |