pSEUDO DESIGN PROJECT

1. HEATING CAUSES
PROBLEM

2. DESIGN
AND CFD
ANALYSIS
Geometry of Heatsink (Natural Convection)
Number of Jets are clearly shown in this CAD model
above as green circles in front of the heatsink

3. DESIGN
AND CFD
ANALYSIS
BY ANANAY
JOSHI
(2K20/ME/29)
FIGURE Mesh geometry of enclosure
FIGURE Mesh edge refinements for capturing
turbulence and interaction with surfaces properly

4. DESIGN AND
CFD
ANALYSIS
FIGURE Temperature distribution
of the heatsink without jet
impingement method(natural
convection)

5. DESIGN AND
CFD
ANALYSIS
FIGURE Temperature distribution of the heatsink with jet impingement
method(forced convection)
We can clearly observe
from the temperature
bar that after applying
jet there is a decrease
in mean temperature
about 17°C under the
optimal operating
conditions

6. UNDER SUPERVISION:
PROF.(DR) RADHEY
MISHRA
Ex-
Ex-DEAN(O&EA)
DESIGN
AND CFD
ANALYSIS
BY ANANAY
JOSHI
(2K20/ME/29
The figure represents the cooling near the
region(highest cooling region or the
lowest temperature region) close to jet air
has the lowest temperature while the
temperature far away from the jet is
higher.

7. Narumanchi et al [1] suggested that liquid jet impingement cooling has significant potential
for cooling power electronics, and further research is needed to optimize the design of cooling
systems and improve their performance. The model presented by Narumanchi et al. provides
a useful tool for predicting the performance of liquid jet impingement cooling systems and can
be used to guide the design of future cooling systems.[6] Kim et al [2] suggested that
dimpled surfaces, especially when used in conjunction with an impinging jet array, can
enhance the cooling performance for high-heat flux applications and further research is
needed to optimize the design of dimpled surfaces and impinging jet arrays to improve their
performance and efficiency. The study by Kim et al. provides useful insights into the effects of
various factors on cooling performance and can guide the design of future cooling systems.[7]
LITERATURE
REVIEW

8. Schmidt et al. (2000) [6] used high-speed visualization techniques to study the
dynamics of the boiling process and developed a heat transfer model to predict the
boiling heat transfer coefficient and their work provided valuable insights into the
complex physics of jet impingement boiling and demonstrated the importance of
understanding the underlying mechanisms for developing efficient cooling systems.[11]
Way et al. (2014) [7] provided valuable insights into the complex physics of jet
impingement boiling, and Way et al.'s work demonstrated the potential of submerged
liquid jet impingement with Microfinned enhanced surfaces for improving the cooling
performance of critical components. .[12]
LITERATURE
REVIEW

9. OBJECTIVE
1. To Quantitatively evaluate thermal performance of microcontroller L298N using CFD analysis under different
operating conditions, with and without jet impingement.
2. To Investigate impact of jet impingement on temperature distribution and heat dissipation of microcontroller
L298N, considering design parameters such as jet velocity, nozzle diameter, and impingement distance.
3. To Analyze thermal stress levels of microcontroller L298N with and without jet impingement to assess
effectiveness of jet impingement in reducing thermal stress and enhancing reliability.
4. To Develop CAD model of microcontroller L298N and integrate with CFD simulations to accurately predict
thermal behavior and performance under different cooling scenarios, including jet impingement.
5. To Compare and contrast thermal performance of microcontroller L298N with and without jet impingement
based on quantitative results from CFD simulations and experimental measurements, to determine optimal
cooling strategy using Machine learning and validate its results

10. VALIDATION
ANALYTICAL SOLUTION
COMPARISON

11. VALIDATION
GRID SENSTIVITY
ANALYSIS

12. VALIDATION
Measure of
Convergence
Figure Convergence of Solution is
must for Validating your CFD design
and Analysis
Above figure shows the convergence
after 10 iterations due to fine meshing
and use of supercomputer

13. NUMERICAL INVESTIGATION OF LOCAL HEAT TRANSFER COEFFICIENT OF JET AIR AND
OTHER PARAMETERS USING C++ PROGRAMMING LANGUAGE

14. NUMERICAL INVESTIGATION OF LOCAL HEAT TRANSFER COEFFICIENT OF JET AIR AND
OTHER PARAMETERS USING C++ PROGRAMMING LANGUAGE

15. NUMERICAL INVESTIGATION OF LOCAL HEAT TRANSFER COEFFICIENT OF JET AIR AND
OTHER PARAMETERS USING C++ PROGRAMMING LANGUAGE

16. NUMERICAL INVESTIGATION OF LOCAL HEAT TRANSFER COEFFICIENT OF JET AIR AND
OTHER PARAMETERS USING C++ PROGRAMMING LANGUAGE

17. CODE
BY ANANT VOHRA (2K2O/ME/32)
• NUMERICAL INVESTIGATION OF LOCAL HEAT TRANSFER COEFFICIENT OF JET AIR AND
OTHER PARAMETERS USING C++ PROGRAMMING LANGUAGE

18. NUMERICAL INVESTIGATION OF LOCAL HEAT TRANSFER COEFFICIENT OF JET AIR AND
OTHER PARAMETERS USING C++ PROGRAMMING LANGUAGE

19. REFERENCES
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20. Narumanchi, S., U. Choi, and M. Ohadi. "Modelling Single-Phase and Boiling Liquid Jet
Impingement Cooling in Power Electronics." Journal of Thermal Science and Engineering
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041301-8
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21. Way, H. K., Wong, T. N., & Leong, K. C. (2014). Traction Drive Inverter Cooling with Submerged Liquid
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THE END