Скачать или смотреть Machine learning analysis heat transfer enhancement Matlab Simulink Projects

Title:- Machine learning analysis for heat transfer enhancement in nano encapsulated phase change materials within L-shaped enclosure with heated blocks

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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 a dataset with 160 data points values with streamline, isotherm, heat capacity, and average Nusselt plots.

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.

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1. #MachineLearning
2. #HeatTransfer
3. #MATLAB
4. #Simulink
5. #EngineeringProjects
6. #DataAnalysis
7. #ThermalEngineering
8. #AIinEngineering
9. #SimulationModeling
10. #TechInnovation
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