Background and Motivation

In many industrial and engineering applications, the deposition of particles in 90-degree-bend geometries can have a significant impact on the performance and reliability of the systems. The deposition of particles can cause blockages, reduce the efficiency of the system, and increase maintenance costs. Therefore, the prediction of particle deposition in 90-degree-bend geometries is of great importance in the optimization and design of such systems. Computational fluid dynamics (CFD) has become a powerful tool for studying fluid dynamics and particle transport. However, accurately predicting the deposition of particles in complex geometries such as 90-degree-bend remains a challenging task. The hybrid Reynolds-averaged Navier-Stokes/Large-eddy simulation (RANS/LES) approach is a promising method to improve the accuracy of CFD simulations for particle deposition in complex geometries. In this study, we propose to investigate the effectiveness of the hybrid RANS/LES approach for predicting particle deposition in a 90-degree-bend geometry.

‍

Objectives

The main objectives of this research are:

1. To develop a numerical model using the hybrid RANS/LES approach to predict the particle deposition in a 90-degree-bend geometry.
2. To validate the numerical model with experimental data available in the literature.
3. To investigate the effect of different parameters such as particle size, flow velocity, and particle concentration on the particle deposition in the 90-degree-bend geometry.
4. To compare the results obtained from the hybrid RANS/LES approach with those obtained from other numerical methods and experimental data.

‍

Methodology

The proposed research will be conducted in the following stages:

1. Literature review: A comprehensive literature review will be carried out to identify the existing numerical methods and experimental data available for particle deposition in 90-degree-bend geometries.
2. Numerical model development: The hybrid RANS/LES approach will be implemented in a commercial CFD software to develop a numerical model for predicting particle deposition in a 90-degree-bend geometry. The discrete phase model will be used to simulate the particle transport and deposition.
3. Validation: The developed numerical model will be validated by comparing the predicted results with available experimental data from the literature.
4. Parametric study: A parametric study will be carried out to investigate the effect of different parameters such as particle size, flow velocity, and particle concentration on the particle deposition in the 90-degree-bend geometry.
5. Comparison: The results obtained from the hybrid RANS/LES approach will be compared with those obtained from other numerical methods and experimental data.

‍

Expected outcomes

The expected outcomes of this research are:

1. The development of a numerical model using the hybrid RANS/LES approach for predicting particle deposition in a 90-degree-bend geometry.
2. Validation of the numerical model with experimental data available in the literature.
3. Investigation of the effect of different parameters such as particle size, flow velocity, and particle concentration on the particle deposition in the 90-degree-bend geometry.
4. Comparison of the results obtained from the hybrid RANS/LES approach with those obtained from other numerical methods and experimental data.

‍

Significance and relevance

The proposed research will contribute to the understanding of particle deposition in 90-degree-bend geometries, which is important in many industrial and engineering applications. The results of this study will provide valuable insights into the design and optimization of such systems, which can lead to improved performance, reduced maintenance costs, and increased reliability. The hybrid RANS/LES approach has the potential to improve the accuracy of CFD simulations for particle deposition in complex geometries, which can be beneficial in various fields such as pharmaceuticals, energy

‍