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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 72, 2017 - Issue 7
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Original Articles

CFD investigating medium-temperature influences on performance prediction and structure stress calculation in a hydrodynamic torque converter

ORCID Icon, , ORCID Icon &
Pages 563-578 | Received 13 Dec 2016, Accepted 16 Jul 2017, Published online: 19 Oct 2017
 

ABSTRACT

When computational fluid dynamics was applied in a hydrodynamic torque converter, the influences of medium temperature were always ignored. Those influences were investigated in this study. The variable viscosities and constant viscosity were carried out by a comparative study. The unsteady flow fields showed the variable viscosities results were more reasonable, whereas the constant viscosity overestimated the viscous force and leaded to inaccuracy in performance prediction. The experimental data proved that variable viscosities achieved a highly accuracy, and the performance prediction inaccuracy was 1–4%. Through the comparative analysis of the equivalent stress and deformation computed from thermal-fluid–structure interaction and fluid–structure interaction, the thermal stress from medium-temperature influence should be considered during the design of a torque converter.

Nomenclature

A=

heat transfer area

Ck=

model coefficient

Cs=

damping matrix

hi=

sensible enthalpy of species i

=

diffusion flux of species i

k=

heat transfer coefficient

keff=

effective conductivity

Ks=

solid displacement

Ms=

mass matrix

P=

fluid pressure (Pa)

Q=

total heat transfer rate

q=

heat flux

qsgs=

SGS kinetic energy

T=

temperature (K)

Δtm=

temperature difference

Yi=

mass fraction of species i

=

filtered velocity (m/s)

δij=

Kronecker delta

μd=

dynamic viscosity (m2/s)

μt=

turbulent viscosity (m2/s)

ρ=

density (kg/m3)

τij=

SGS stress tensor

τs=

the stress of solid

Nomenclature

A=

heat transfer area

Ck=

model coefficient

Cs=

damping matrix

hi=

sensible enthalpy of species i

=

diffusion flux of species i

k=

heat transfer coefficient

keff=

effective conductivity

Ks=

solid displacement

Ms=

mass matrix

P=

fluid pressure (Pa)

Q=

total heat transfer rate

q=

heat flux

qsgs=

SGS kinetic energy

T=

temperature (K)

Δtm=

temperature difference

Yi=

mass fraction of species i

=

filtered velocity (m/s)

δij=

Kronecker delta

μd=

dynamic viscosity (m2/s)

μt=

turbulent viscosity (m2/s)

ρ=

density (kg/m3)

τij=

SGS stress tensor

τs=

the stress of solid

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 51675219)

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