Evaluation of temperature difference models for heat transfer analysis in tube-in-tube heat exchangers for energy-efficient thermal systems: a CFD-based comparison

This study presents a comparative thermal analysis of a tube–in–tube counterflow heat exchanger under steady–state operating conditions, relevant to engine oil cooling applications, with water and engine oil serving as the working fluids in the inner tube and outer annular region, respectively. An analytical framework was developed to evaluate the logarithmic mean temperature difference (LMTD) and four alternative thermal averages – arithmetic mean temperature difference (AMTD), geometric mean temperature difference (GMTD), harmonic mean temperature difference (HMTD), and root mean square temperature difference (RMSTD) – using outlet temperatures obtained from energy balance relations and regime–appropriate heat transfer correlations. The analytical model accounts for laminar developing flow in the annular region and turbulent flow in the inner tube using appropriate Nusselt correlations, with temperature–dependent viscosity considered for engine oil. In parallel, a computational fluid dynamics (CFD) model was established in ANSYS Fluent to predict outlet temperatures and resolve flow development and near–wall effects. The analytical results demonstrate that GMTD consistently provides the closest approximation to LMTD under moderate operating conditions when analyzed in terms of the dimensionless temperature ratio, while HMTD and RMSTD exhibit larger deviations. The CFD predictions show qualitative agreement with the analytical trends.

Authors

Institutions

Publication Details

Journal
Cogent Engineering
Published
2026-06-25
DOI
https://doi.org/10.1080/23311916.2026.2692643
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of temperature difference models for heat transfer analysis in tube-in-tube heat exchangers for energy-efficient thermal systems: a CFD-based comparison

B. Satish Shenoy, Chandrakant Ramanath Kini, Anand Pai
Cogent Engineering
Heat Transfer and Optimization
article

Evaluation of temperature difference models for heat transfer analysis in tube-in-tube heat exchangers for energy-efficient thermal systems: a CFD-based comparison

B. Satish Shenoy, Chandrakant Ramanath Kini, Anand Pai
article en

Abstract

This study presents a comparative thermal analysis of a tube–in–tube counterflow heat exchanger under steady–state operating conditions, relevant to engine oil cooling applications, with water and engine oil serving as the working fluids in the inner tube and outer annular region, respectively. An analytical framework was developed to evaluate the logarithmic mean temperature difference (LMTD) and four alternative thermal averages – arithmetic mean temperature difference (AMTD), geometric mean temperature difference (GMTD), harmonic mean temperature difference (HMTD), and root mean square temperature difference (RMSTD) – using outlet temperatures obtained from energy balance relations and regime–appropriate heat transfer correlations. The analytical model accounts for laminar developing flow in the annular region and turbulent flow in the inner tube using appropriate Nusselt correlations, with temperature–dependent viscosity considered for engine oil. In parallel, a computational fluid dynamics (CFD) model was established in ANSYS Fluent to predict outlet temperatures and resolve flow development and near–wall effects. The analytical results demonstrate that GMTD consistently provides the closest approximation to LMTD under moderate operating conditions when analyzed in terms of the dimensionless temperature ratio, while HMTD and RMSTD exhibit larger deviations. The CFD predictions show qualitative agreement with the analytical trends.

Cogent EngineeringVol. 13(1)
Manipal Academy of Higher Education (IN)
Affordable and clean energy
Openalex Percentile: Top 13%
Heat Transfer and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.