PD Dr. Yan Jin

Eissendorfer Str. 38, bulding O, Room 3.019

Telephone +49 40 42878-4644

E-Mail: PD Dr. Jan Yin.

Research Interests

Turbulence modelling, simulation, and control

A turbulence model with high accuracy and low computational cost, see Jin (2019), has been developed through the DFG-Heisenberg program (299562371). The developed turbulence model has higher accuracy than classic LES and RANS models when the same mesh resolution is used. It is particularly suitable for simulating complex turbulent flows in industry, e.g., flows in turbomachinery (Jin 2020), see Fig. 1. We are also interested in the techniques of controlling turbulence and reducing the corresponding irreversible losses, see Jin & Herwig (2014) and Li, et al. (2021) as examples.

Convection in porous media

Porous media are an important material in nature and industry. Convection in porous media receives a lot of attentions in recent years with the emergence of some new engineering applications, e.g., long term storage of CO2 in deep saline aquifers, thermal energy storage systems using stones/bricks as storage materials, etc. Based on deep investigation of physics, we try to develop efficient and accurate macroscopic models for predicting losses and heat/mass transfer rate in porous media (Fig. 2), see details in Jin, et al. (2015; 2017), Uth, et al. (2016), Kranzien & Jin (2018), Rao, et al. (2020) and Gasow, et al. (2020) for the details of this research. This research is funded by the DFG (408356608). 

Flows in biological and physiological processes

Bio-fluid mechanics is an interdisciplinary study which is located at the interface of fluid mechanics and biology. This is a new and promising research field. We are studying the digestion process in human-stomach using a CFD method, see Li & Jin (2021). We have also investigated the “Magenstrasse” based on the numerical results (Fig. 3), see Li, et al. (2021). This research is funded by the Chinese Scholar Council (CSC). In another research topic, we are investigating the flow and particle transportation in a human’s respiratory system (Fig. 4).



Title: Simulation based investigation of 2D soft-elastic reactors for better mixing performance.
Written by: Li, C.Y.; Gasow, S.; Jin, Y.; Xiao, J.; Chen, X.D.
in: <em>Engineering Applications of Computational Fluid Mechanics</em>. (2021).
Volume: <strong>15</strong>. Number: (1),
on pages: 1229-1242
how published:
DOI: https://doi.org/10.1080/19942060.2021.1955746


Abstract: Inspired by the animal upper digestive tract, a unique soft-elastic reactor (SER) has recently been researched whose mixing phenomena should be further investigated. Numerical simulation is an excellent method with which to explore the phenomena in SERs for a large number of conditions. It may also offer insights into the ways of effective mixing in this kind of reactor. The mixing processes in 2D SERs driven by bio-inspired wavelike boundary motions are systematically compared in this work. The influences of several key factors (i.e. the aspect ratios of rectangular SERs, the wavenumbers of moving walls, and the location and size of baffles) on the mixing performance are investigated. It has been found that mixing efficiency is better at an aspect ratio close to 1.0. The influence of wavenumber on mixing is not monotonic. Increasing the wavenumber speeds up mixing in parallel boundary type motion, while it slows it down in symmetrical-contraction boundary type motion. Mounting baffles on the left and right sides of the vessel wall (i.e. on the moving boundaries) promotes mixing. Lower porosity (<0.4) of baffles benefits mixing. It has become clear that an efficient SER needs to be designed by considering not only its shape but also the wall moving mode. The work reported in this article has provided useful information on how it might be possible to improve SERs for industrial applications in future.