PD Dr. Yan Jin
Eissendorfer Str. 38, bulding O, Room 3.019
Telephone +49 40 428784644
EMail: 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 DFGHeisenberg 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
Biofluid 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 humanstomach 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).
Publications
Order by: Author Year Journal Bibtex Type of Publication
2021

Gasow S.; Kuznetsov, A.V.; Avila, M.; Y. Jin
(2021).
A macroscopic twolengthscale model for natural convection in porous media driven by a speciesconcentration gradient.
Journal of Fluid Mechanics.
926
(A8),
[Abstract] [doi] [BibTex]

Li, C.Y.; Gasow, S.; Jin, Y.; Xiao, J.; Chen, X.D.
(2021).
Simulation based investigation of 2D softelastic reactors for better mixing performance.
Engineering Applications of Computational Fluid Mechanics.
15
(1),
12291242.
[Abstract] [doi] [BibTex]

Li, C.Y.; Jin, Y.
(2021).
A CFD model for investigating the dynamics of liquid gastric contents in humanstomach induced by gastric motility.
J. Food Eng..
296
(110461),
[BibTex]

Li, C.Y.; Xiao, J.; Chen, X.D.; Jin, Y.
(2021).
Mixing and emptying of gastric contents in humanstomach: A numerical study.
J. Biomech..
118
(110293),
[Abstract] [doi] [BibTex]

Li, Z.H.; Jin, Y.; Du, J.; Nie, C.; H.W. Zhang
(2021).
Physical Mechanisms Investigation of SharkskinInspired Compressor Cascade Based on Large Eddy Simulations.
J. Turbomach..
143
(6),
[Abstract] [doi] [BibTex]
2020

Gasow, S.; Lin, Z.; Zhang, H.C.; Kuznetsov, A.V.; Avila, M.; Jin, Y.
(2020).
Effects of porescale on the macroscopic properties of natural convection in porous media.
J. Fluid Mech.
891
(A25),
[BibTex]

Geng, L.P.; Jin, Y.; Herwig, H.
(2020).
Can pulsation unsteadiness increase the convective heat transfer in a pipe flow? A systematic study.
Numerical Heat Trans., Part B: Fundamentals.
78
(3),
160174.
[BibTex]

Jin, Y.
(2020).
Parameter extension simulation of turbulent flows in a compressor cascade with a high Reynolds number.
ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition.
[Abstract] [doi] [BibTex]

Rao, F.R.; Kuznetsov, A.V.; Jin, Y.
(2020).
Numerical modeling of momentum dispersion in porous media based on the pore scale prevalence hypothesis.
Trans. Porous Media.
133
271292.
[BibTex]
2019

Jin, Y.; Schlüter, M.
(2019).
Direct numerical simulation of the interfacial mass transfer of a bubble in selfinduced turbulent flows.
Int. J. Heat Mass Trans..
135
12481259.
[BibTex]

Kränzien, P.U.; Jin, Y.
(2019).
Natural convection in a twodimensional cell filled with a porous medium: a direct numerical simulation study.
Heat Trans. Eng..
40
(56),
487496.
[BibTex]

Y. Jin
(2019).
Parameter extension simulation of turbulent flows.
Phys. Fluids.
31
(125102),
[BibTex]
2018

Gasow, S.; Kuznetsov, A.V.; Schlüter, M.; Jin, Y.
(2018).
Turbulent forced convection in porous media: a direct numerical simulation study.
IHTC1622301, Proceedings of the 16th International Heat Transfer Conference, IHTC16, Beijing, China.
[BibTex]

Xu, G.; Zhang, H.; Jin, Y.
(2018).
Achieving arbitrarily polygonal thermal harvesting devices with homogeneous parameters through linear mapping function.
Energy Conv. Manag..
165
253262.
[BibTex]

Xu, G.; Zhang, H.; Wang, K.; Jin, Y.; Li, Y.
(2018).
Arbitrarily shaped thermal cloaks with nonuniform profiles in homogeneous media configurations.
Optics Exp..
26
(19),
2526525279.
[BibTex]
2017

Jin, Y.
(2017).
SecondLaw Analysis: A powerful tool for analyzing computational fluid dynamics (CFD) results.
Entropy.
19
679.
[BibTex]

Jin, Y.; Du, J.; Li, Z.Y.; Zhang, H.W.
(2017).
SecondLaw Analysis of irreversible losses in gas turbines.
Entropy.
19
470.
[BibTex]

Jin, Y.; Kuznetsov, A.V.
(2017).
Turbulence modeling for flows in wall bounded porous media: An analysis based on direct numerical simulations.
Phys. Fluids.
29
(045102),
[BibTex]

Jin, Y.; Kuznetsov, A.V.
(2017).
Using direct numerical simulations for investigating physics in porous media.
Proceedings of the ASME 2017 Fluids Engineering Division Summer Meeting, FEDSM2017, At Waikoloa, Hawaii, USA.
[BibTex]

Xu, G.; Zhang, H.; Zou, Q.; Jin, Y.
(2017).
Predicting and analyzing interaction of the thermal cloaking performance through response surface method.
Int. J. Heat Mass Trans..
109
746754.
[BibTex]

Xu, G.; Zhang, H.; Zou, Q.; Jin, Y.; Xie, M.
(2017).
Forecast of thermal harvesting performance under multiparameter interaction with response surface methodology.
Int. J. Heat Mass Trans..
115
682693.
[BibTex]
2016

Jin, Y.; Kränzien, P.U.
(2016).
Natural convection in a twodimensional cell filled with porous medium: A DNS study.
Proceedings of the 9th International Symposium on Heat Transfer, ISHT9F0318, Beijing.
[BibTex]

Uth, M.F.; Jin, Y.; Kuznetsov, A.V.; Herwig, H.
(2016).
A DNS study on the possibility of macroscopic turbulence in porous media: effects of different solid matrix geometries, solid boundaries, and two porosity scales.
Phys. Fluids.
28
(065101),
[BibTex]
2015

Jin, Y.; Herwig, H.
(2015).
Turbulent flow in rough wall channels: validation of RANS models.
Comp. Fluids.
122
3446.
[BibTex]

Jin, Y.; Uth, M.F.; Herwig, H.
(2015).
Structure of a turbulent flow through plane channels with smooth and rough walls: An analysis based on high resolution DNS results.
Comp. Fluids.
107
(31),
7788.
[BibTex]

Jin, Y.; Uth, M.F.; Kuznetsov, A.V. ; Herwig, H.
(2015).
Numerical investigation of the possibility of macroscopic turbulence in porous media: a DNS study.
J. Fluid Mech..
766
76103.
[BibTex]
2014

Jin, Y.; Herwig, H.
(2014).
Turbulent flow in channels with shark skin surfaces: Entropy generation and its physical significance.
Int. J. Heat Mass Trans..
70
1022.
[BibTex]

Jin, Y.; Herwig, H.
(2014).
Effects of shark skin textures on entropy generation for turbulent flow and heat transfer problems.
Proceedings of the International Heat Transfer Conference.
Kyoto, IHTC158699
[BibTex]
2013

Jin, Y.; Herwig, H.
(2013).
From single obstacles to wall roughness: Some fundamental investigations based on DNS results for turbulent channel flow.
Z. J. Appl. Math. Phys..
64
13371352.
[BibTex]
2012

Zhang, H.C.; Guo, Y.Y.; Jin, Y.; Li, Y.
(2012).
An entropy production method to investigate the accuracy and stability of numerical simulation of onedimensional heat transfer.
Heat Trans. Res..
43
(7),
669693.
[BibTex]

Herwig, H.; Jin, Y.
(2012).
Parameter Extension Method (PEM): An asymptotic extension of numerical and experimental flow and heat transfer results to further values of the inherent parameters.
Proceedings of the 3rd International Forum on Heat Transfer, Nagasaki, Japan.
[BibTex]

Jin, Y.; Herwig, H.
(2012).
Parameter extension method (PEM): an asymptotic extension of numerical and experimental flow and heat transfer results to further values of the inherent parameters.
Heat Mass Trans..
48
(5),
823830.
[BibTex]
2011

Jin, Y.; Chen, X. D.
(2011).
Entropy production during the drying process of milk droplets in an industrial spray dryer.
Int. J. Therm. Sci..
50
615625.
[BibTex]

Jin, Y.; Herwig, H.
(2011).
Efficient methods to account for variable property effects in numerical momentum and heat transfer solutions.
Int. J. Heat Mass Trans..
54
21802187.
[BibTex]

Jin, Y.; Herwig, H.
(2011).
Variable property effects in momentum and heat transfer.
Developments in Heat Transfer, InTech.
135152.
[BibTex]
2010

Jin, Y.; B. Shaw, B.
(2010).
Computational modeling of nheptane droplet combustion in airdiluent environments under reducedgravity.
Int. J. Heat Mass Trans..
53
57825791.
[BibTex]

Jin, Y.; B. Shaw, B.
(2010).
Numerical simulation of unsteady flows and shape oscillations in liquid droplets induced by deployment needle retraction.
Micro. Sci. Tech..
22
1726.
[BibTex]

Jin, Y.; Chen, X. D.
(2010).
A fundamental model of milk particle deposition incorporated in CFD simulations of an industrial milk spray dryers.
Drying Tech..
28
960971.
[BibTex]

Jin, Y.; Herwig, H.
(2010).
Similarity theory including variable property effects: a complex benchmark problem.
Proceedings of the International Heat Transfer Conference.
Washington, IHTC1422457
[BibTex]

Jin, Y; Herwig, H.
(2010).
Application of the extended similarity theory to a complex benchmark problem.
Z. J. Appl. Math. Phys..
61
509528.
[BibTex]
2009

Jin, Y.; Chen, X. D.
(2009).
A Threedimensional numerical study of the gas/particle interactions in an industrialscale spray dryer for milk powder production.
Drying Tech..
27
10181027.
[BibTex]

Masquelet, M.; Menon, S.; Jin, Y.; Friedrich, R.
(2009).
Simulation of unsteady combustion in a LOXGH2 fueled rocket engine.
Aero. Sci. Tech.
18
(8),
466474.
[BibTex]
2008

Jin, Y.; Chen, X. D.
(2008).
Numerical study of the behavior of different size particles in an industrial spray dryer.
Drying Tech..
27
371381.
[BibTex]
2007

Jin, Y.; Friedrich, R.
(2007).
Large eddy simulation of nozzle jet  external flow interaction.
Notes on numerical fluid mechanics and multidisciplinary design.
5781.
[BibTex]
2004

Jin, Y.; Yuan, X.
(2004).
Numerical simulation of fluidinduced vibration in seals by fluidstructure coupling method.
J. Eng. Therm.
25
(1),
4144.
[BibTex]

Jin, Y.; Yuan, X.
(2004).
Oscillatory blowing control numerical simulation of airfoil flutter by highaccuracy method.
AIAA J. Aircraft.
41
(3),
610615.
[BibTex]
2003

Jin, Y.; Yuan, X.
(2003).
Numerical analasis of 3D turbine blade’s torsional flutter by fluidstructure coupling method.
J. Eng. Therm.
24
(3),
395399.
[BibTex]

Jin, Y.; Yuan, X.
(2003).
Numerical simulation of fluidinduced vibration in seals by fluidstructure coupling method.
J. Eng. Therm.
24
(3),
395399.
[BibTex]
2002

Jin, Y.; Yuan, X.
(2002).
aeroelastic analysis on an airfoil's flutter and flutter control technique of blowing.
ACTA Energ. Solar. Sinica.
403407.
[BibTex]

Jin, Y.; Yuan, X.
(2002).
Analysis of an airfoil’s flutter control technique of blowing by a fluid  structure coupling method.
ACTA Aero. Sinica.
20
(3),
267273.
[BibTex]

Jin, Y.; Yuan, X.
(2002).
Numerical study of unsteady viscous flow past oscillating airfoil.
Wind Eng.
25
(3),
227237.
[BibTex]

Jin, Y.; Yuan, X.; Shin B. R.
(2002).
Aeroelastic analysis of an airfoil's stall flutter at large mean incidence angle.
J. Eng. Thermo.
23
(5),
573575.
[BibTex]