Numerical Thermal Stress Analysis on Semiconductors with Nano-Fluid Coolant

Article ID

827HB

High-resolution thermal analysis for nanofluid semiconductors.

Numerical Thermal Stress Analysis on Semiconductors with Nano-Fluid Coolant

Luis Medina
Luis Medina
Kevin Harvey
Kevin Harvey
Cory Davison
Cory Davison
Edgar Rubio
Edgar Rubio
Morteza Mohssenzadeh
Morteza Mohssenzadeh
Hamidreza Ghasemi Bahraseman
Hamidreza Ghasemi Bahraseman
Taha Ghaemi Bahraseman
Taha Ghaemi Bahraseman
DOI

Abstract

During the course of normal operation, electrical components made from semiconducting materials undergo significant stress from heating. This causes parts to wear out more quickly or, in the more extreme cases, fail altogether. In order to maintain a stable operating temperature, many different types of cooling systems have been used. Our work investigates the best materials to use in these systems, carefully considering effectiveness, cost, and longevity in our assessment. Ansys simulation software was used to simulate the effects of different coolants on removing heat from a semiconductor. The coolants are air, water, and aluminum oxide. Though we didn’t model the results of forced convection across these materials, the natural convection heat transfer results in finding the more efficient coolant. Considering liquid cooling methods for semiconductor-based devices, the kind of fluid plays a vital role in the transfer of energy. The Aluminum Oxide was selected in a 2% solution and 40nm wide particles to simulate for our nanofluid as it is commonly used in the industry and data for it was readily available. The aluminum oxide nanofluid had the best cooling performance of the three tested materials.

Numerical Thermal Stress Analysis on Semiconductors with Nano-Fluid Coolant

During the course of normal operation, electrical components made from semiconducting materials undergo significant stress from heating. This causes parts to wear out more quickly or, in the more extreme cases, fail altogether. In order to maintain a stable operating temperature, many different types of cooling systems have been used. Our work investigates the best materials to use in these systems, carefully considering effectiveness, cost, and longevity in our assessment. Ansys simulation software was used to simulate the effects of different coolants on removing heat from a semiconductor. The coolants are air, water, and aluminum oxide. Though we didn’t model the results of forced convection across these materials, the natural convection heat transfer results in finding the more efficient coolant. Considering liquid cooling methods for semiconductor-based devices, the kind of fluid plays a vital role in the transfer of energy. The Aluminum Oxide was selected in a 2% solution and 40nm wide particles to simulate for our nanofluid as it is commonly used in the industry and data for it was readily available. The aluminum oxide nanofluid had the best cooling performance of the three tested materials.

Luis Medina
Luis Medina
Kevin Harvey
Kevin Harvey
Cory Davison
Cory Davison
Edgar Rubio
Edgar Rubio
Morteza Mohssenzadeh
Morteza Mohssenzadeh
Hamidreza Ghasemi Bahraseman
Hamidreza Ghasemi Bahraseman
Taha Ghaemi Bahraseman
Taha Ghaemi Bahraseman

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Luis Medina. 2026. “. Global Journal of Research in Engineering – A : Mechanical & Mechanics GJRE-A Volume 22 (GJRE Volume 22 Issue A2): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-A Classification: DDC Code: 519.4 LCC Code: QA297
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Numerical Thermal Stress Analysis on Semiconductors with Nano-Fluid Coolant

Luis Medina
Luis Medina
Kevin Harvey
Kevin Harvey
Cory Davison
Cory Davison
Edgar Rubio
Edgar Rubio
Morteza Mohssenzadeh
Morteza Mohssenzadeh
Hamidreza Ghasemi Bahraseman
Hamidreza Ghasemi Bahraseman
Taha Ghaemi Bahraseman
Taha Ghaemi Bahraseman

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