CFD and Machine learning coupling
Budget: $15 – $25 CAD
This is a direct problem as defined below:
I will run a simulation in Ansys fluent that will give us drag values. Now, I want to reduce this drag coefficient with the help of Machine learning like Genetic Algorithms. So according to the, required drag ( I will define that), Machine learning will optimize the parameters like Renolds number, angle, and other things. According to the suggestion of the optimization, the simulation will be run again to find out the drag coefficient. Hence the cycle is simple:
Simulation - Machine learning - Control law - again simulation.
However, this cycle should be designed in an automatic way until the desired drag value is achieved. I will be here to answer your all questions and help you build the design.
I will run a simulation in Ansys fluent that will give us drag values. Now, I want to reduce this drag coefficient with the help of Machine learning like Genetic Algorithms. So according to the, required drag ( I will define that), Machine learning will optimize the parameters like Renolds number, angle, and other things. According to the suggestion of the optimization, the simulation will be run again to find out the drag coefficient. Hence the cycle is simple:
Simulation - Machine learning - Control law - again simulation.
However, this cycle should be designed in an automatic way until the desired drag value is achieved. I will be here to answer your all questions and help you build the design.