Performance Analysis of heat transfer enhancement in nano encapsulated phase
implementation plan:
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Step 1: Initially, we will construct an L-shaped porous enclosure model with a heated block with a magnetic field.
Step 2: Then, we use the artificial compressibility finite-difference approach (AC-FDM) for solving the Navier-stokes equation
Step 3: Next, we generate the streamline, isotherm, heat capacity, and average Nusselt plots for various physical parameters.
Step 4: Next, we implement machine learning model to identify the optimal fusion temperature based on a dataset
Step 5: Next, we train the data to optimize the effects of fusion temperature variations on physical parameters.
Step 6: Finally, we plot performance for the following metrics:
6.1: Time vs. Heat Transfer Rate (W/m²)
6.2: Time vs. Fusion Temperature (°C)
6.3: Time vs. Liquid Fraction (%)
Software Requirements:
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1. Development Tool: Matlab-R2023a
2. Operating System: Windows-11 (64-bit)
Note:
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[1] If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
[2] Please note that this implementation plan does not include any further steps after it is put into implementation.
[3] Please understand that any modifications made to the confirmed implementation plan will not be made before or after the project development.
[4] If the above plan satisfies your requirement please confirm with us.
