Analysis of Closed Loop Pulsating Heat Pipe Using Python Programming

A computer program has been developed using PYTHON for the analysis of multi turn CLPHP made up of copper with capillary dimensions such as 2mm and 3.1 mm inner and outer diameters. The central difference finite difference equations are used to determine the temperatures at various sections by using numerical methods. The heat transfer equations for each cell solved iteratively, and the temperature values are updated at each time step until the solution converged. The performance of the heat pipe was analysed by varying the heat inputs and working fluid conditions. PYTHON code is developed for different fluids by using libraries such as NumPy, SciPy, and Matplotlib to obtain temperature matrix. Thermal resistance as a performance parameter is calculated with the help of temperatures. The obtained temperatures by running Python code are compared with the existing experimental results.

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Publication Details

Journal
International Research Journal on Advanced Science Hub
Published
2025-06-27
DOI
https://doi.org/10.47392/irjash.2025.060
Primary Topic
Heat Transfer and Boiling Studies
Type
article
Field-Weighted Citation Impact
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article

Analysis of Closed Loop Pulsating Heat Pipe Using Python Programming

P. Bhramara, N. Santhi Sree
International Research Journal on Advanced Science Hub
Heat Transfer and Boiling Studies
article

Analysis of Closed Loop Pulsating Heat Pipe Using Python Programming

P. Bhramara, N. Santhi Sree
article en

Abstract

A computer program has been developed using PYTHON for the analysis of multi turn CLPHP made up of copper with capillary dimensions such as 2mm and 3.1 mm inner and outer diameters. The central difference finite difference equations are used to determine the temperatures at various sections by using numerical methods. The heat transfer equations for each cell solved iteratively, and the temperature values are updated at each time step until the solution converged. The performance of the heat pipe was analysed by varying the heat inputs and working fluid conditions. PYTHON code is developed for different fluids by using libraries such as NumPy, SciPy, and Matplotlib to obtain temperature matrix. Thermal resistance as a performance parameter is calculated with the help of temperatures. The obtained temperatures by running Python code are compared with the existing experimental results.

International Research Journal on Advanced Science HubVol. 7(06)
Jawaharlal Nehru Technological University, Hyderabad (IN), Institute of Chartered Financial Analysts of India (IN)
Openalex Percentile: Top 85%
Heat Transfer and Boiling Studies
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