[cheap_person]

Hey Guys!
How are you doing?

Well, I've been designing an impeller,
Kindly consider me as a beginner throughout the conversation.

Now I am trying to generate a performance map {nominal mass flow rate v/s pressure ratio} of the impeller to know the operational range.

Hence, I need to Run multiple simulations, to generate points which leads to graph.
Whereas, I run a steady simulation for 3 hours with 1000 iterations and a transient simulation for one and a half hours with 200-time steps with 5 sub-iterations.

I cannot afford such high computational time. so how can I reduce it?

It would be warmly appreciated if any replies.

Sending positive vibes!
cheap person 😁

[SimulationLearner]

Which model you are using to run the simulations?

[rocketLauncher]

What tool and model are you using?

If you were to make use of open-source tools, you could run a parallel simulation on multiple cores (limited by your computer). You could even run multiple simulations in parallel.

To give you a real answer, you need to give us some more details about your case, the degree of accuracy that you need, your computational power resources etc.

Good luck

[eddienel98]

Originally Posted by cheap_person

Hey Guys!
How are you doing?

Well, I've been designing an impeller,
Kindly consider me as a beginner throughout the conversation.

Now I am trying to generate a performance map {nominal mass flow rate v/s pressure ratio} of the impeller to know the operational range. uno online

Hence, I need to Run multiple simulations, to generate points which leads to graph.
Whereas, I run a steady simulation for 3 hours with 1000 iterations and a transient simulation for one and a half hours with 200-time steps with 5 sub-iterations.

I cannot afford such high computational time. so how can I reduce it?

It would be warmly appreciated if any replies.

Sending positive vibes!
cheap person 😁

To reduce computational time, you can simplify your mesh in non-critical areas, reduce the number of iterations and time steps, or loosen convergence criteria for quicker results. Additionally, using parallel computing or starting with 2D simulations can help speed up the process.