Machine Learning (DOE) Online Courses

Price: $240

This project simulates and analyzes a dust-shaped geometry exposed to wind using Computational Fluid Dynamics (CFD). The study employs a pressure-based solver with a focus on understanding drag forces resulting from varying inlet velocities and rotational dynamics. The study uses advanced optimization techniques, including Design of Experiment (DOE) and Central Composite Design (CCD) methods, to explore 15 design scenarios. The findings highlight the inlet velocity magnitude as the most influential parameter, aiding in the optimization of aerodynamic efficiency and contributing to enhanced dust simulation accuracy.

Price: $96

This product presents Microchannel Heat Sink Optimization using ANSYS software. We model with the Design Modeler software; we mesh with ANSYS Meshing software. We use the Design Exploration tool to perform the optimization process. We use the Latin Hypercube Sampling Design in the Design of Experiment (DOE). We use the Genetic Aggregation and the Response Surface Methodology (RSM).

Price: Free

Introduction to the Response Surface Methodology (RSM) in ANSYS Fluent software Introduction to the Genetic Aggregation Introduction to the Full 2nd-Order Polynomials Introduction to the Kriging Introduction to the Non-Parametric Regression Introduction to the Neural Network Introduction to the Sparse Grid

Price: Free

Introduction to the Design of Experiment (DOE) in ANSYS Fluent software Introduction to the Central Composite Design (CCD) Introduction to the Rotatable, VIF-Optimality, G-Optimality, and Face-Centered Introduction to the Box-Behnken Design (BBD) Introduction to the Optimal Space-Filling Design Introduction to the Sparse Grid Initialization Introduction to the Latin Hypercube Sampling Design Introduction to the Custom and Custom+Sampling

Price: $180

This product presents Solar Chimney Optimization using ANSYS software. We model with the Design Modeler software; we mesh with ANSYS Meshing software. We use the Design Exploration tool to perform the optimization process. We use the Optimal Space-Filling Design in the Design of Experiment (DOE). We use the Genetic Aggregation and the Response Surface Methodology (RSM).

Price: $180

In this project, an industrial CFD simulation of the Optimization of Shell & Tube Heat Exchanger with Baffle-Cut has been carried out, and the simulation results have been investigated.

Price: $390

In this project, an industrial Ramjet Engine has been numerically simulated by ANSYS Fluent software. Studying Combustion, Mach Number, Pressure, Density (Compressible Flow), and Thermal analysis. Optimizing the Thrust number. Ramjet Design Improvement. RSM analysis applying DOE.

Price: $150

The problem numerically simulates the Optimization of a Compressor Cascade Using MOGA using ANSYS Fluent software. We design the 3-D model with the Spaceclaim software. We mesh the model with ANSYS Meshing software, and the element number equals 2655960. We use a Design of Experiment (DOE) to perform an Optimization process.

Price: $27

In this project, combustion chamber performance is optimized using DOE and RSM.