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March 24, , The time step you define, depends on the mesh and the velocities. Any value higher than this may lead to divergence.

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Number of time steps depend on how long you want to run the simulation flow time required Number of iterations required depends on how fast the solution converges. It is a trade-off. At smaller time steps, it takes less number of iterations, but you need to run for more number of time steps any way. My suggestion is to run for a few time steps with large number of iterations and find out how many iterations it normally takes to converge, and then set this as the limit. Originally Posted by srjp. November 8, , Join Date: Aug Originally Posted by technocrat.

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November 9, , Originally Posted by tang But for the single unsteady heat conduction ,how to set the time step? Looking forward to your reply! Originally Posted by santoshgoku.

As said before, it again depends on your grid size and other conditions. IMO 60 s is too high in general problems.

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Time step in the order of milliseconds is used for standard problems of unsteady heat conduction. Audrius likes this. Svetlin Filipov. Revise the domain and use adaptive time step if the problem allows As said by other members before, the optimum timestep can be found by trial and error. It is best to start with a low timestep, run for few iterations. Check if there are no convergence problems, then you can increase the timestep. In three to four revisions, you would have settled on the optimum timestep.

If your fluid is air, for a cell size of 1mm, you get delt around 0. May be you can start with this, and keep increasing.

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Ravindra and suraj like this. Before thinking about the time consumed for producing the results, make sure the analysis is converging the results are atable.

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So start from the smaller time and try to increase the time. You can use srjp reply. November 11, , Vaibhav Chaudhari. Hello , I am currently working on Etc solar water heater project. I am trying to do CFD,but being an beginner cant really do so. If you have done the CFD could you send me the file or the procedure for doing it.

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Would really appreciate if you help me. After training, the test is run several times based on the trained network.

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The whole process of training and testing is repeated several times as well:. When you use more than a single run statement, the magic system tries to detect which of the following two situations applies:. For this, it uses the following heuristic: if a simulation consists only of objects that have not been run, it will start a new simulation starting at time 0 corresponding to the creation of a new Network object.

If a simulation only consists of objects that have been simulated in the previous run call, it will continue that simulation at the previous time. If neither of these two situations apply, i. If this is not a mistake but intended e. You can change the simulation time step after objects have been created or even after a simulation has been run:. To change the time step between runs for objects that do not use the defaultclock , you cannot directly change their dt attribute which is read-only but instead you have to change the dt of the clock attribute.

If you want to change the dt value of several objects at the same time but not for all of them, i. This way, you can later change the dt for several objects at once by assigning a new value to Clock. Note that a change of dt has to be compatible with the internal representation of clocks as an integer value the number of elapsed time steps. For example, you can simulate an object for ms with a time step of 0. You cannot, however, switch to a dt of 0. To get an idea which parts of a simulation take the most time, Brian offers a basic profiling mechanism. This information can then be retrieved from Network.

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The following example shows profiling output after running the CUBA example where the neuronal state updates take up the most time :. Every simulated object in Brian has three attributes that can be specified at object creation time: dt , when , and order. When applying a reference time, the time steps shift from the previous example, and now aligns with the reference time new: dark blue, previous example, light blue.

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This example has different results due to the reference time being used. When using a time step interval without a repeat, the duration of your time step will always be equal to the time step. You can set a different time step repeat interval and time step interval so that analysis is completed with breaks between the time steps. For example, if you did a time step interval of 1 day, and a time step repeat interval of 1 hour, you would get the first hour of the day that starts at the default reference time January 1, In this example, there are for 4 time steps yellow time steps with blue numbers.

Using all three parameters gives you the most control of your time steps. You can specify how often to analyze on time, how long, and what your steps are aligned to. Above is the old time alignment light blue without arrows that was determined by the default time start, and the new, user-defined alignment, determined by the reference time. The time steps and intervals have again shifted and that results are different than previous examples.

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To give another example of what you can do; imagine you wanted to look at trends for data points that occurred every Monday. To calculate this you would set the following parameters:. Time step interval: 1 week Time step repeat interval: 1 day Reference time: Monday January 1st, Note: Keep in mind that the reference time aligns both forward and backward. In this example, if your data wasn't in , it would still properly align to the first of the month in any year after Time steps and intervals are input as string.