Hi Ruochun, Thank you for your detailed response! It was very helpful. I 
think I now understand how to customize and visualize the DEM-Engine for my 
vibrating powder bed simulation. Your explanation of using templates to 
represent the shape and size of the particles was particularly useful. Best 
regards, Katsuyuki

2023年5月2日火曜日 5:32:54 UTC+9 Ruochun Zhang:

> Hi Katsuyuki,
>
> To answer the questions...
>
> 1. Yes. This is because DEM-Engine supports complex-shaped and 
> variable-sized DEM elements. This is shown in every demo and is done in the 
> form of a one-two punch: You define DEM element "templates" which represent 
> the shape and size of the particle you want, by defining a clump 
> (collection of overlapping spheres), then instantiate thousands or 
> potentially millions of these templates and run the simulation. Right now, 
> you cannot simply specify a distribution and ask the solver to generate 
> elements based on the distribution. You might instead do this: Create a lot 
> of, say 2000, types of templates whose sizes represent the range you want 
> (say if your particle size is between [1, 3], then you may want to create 
> templates of size 1, 1.001, 1.002, ..., 2.999, 3). Then you use a for loop 
> to instantiate the DEM elements, and each element can take one of the 
> templates with a chance of the corresponding probability density. This way, 
> you will have a granular system that follows a size distribution if you 
> sample enough of them.
> Let me know if you need further explanation on this. I should note that 
> right now up to 65536 types of templates are supported, so don't create 
> more *types* than that (you can have millions of elements, of course). 
> Also, while you can't define a continuous distribution with this package, 
> the data structure of the package potentially allows such functionality to 
> be added. So if a continuous distribution generation tool is absolutely 
> needed over what I just suggested, feel free to let me know, too.
>
> 2. Yes. Since DEM-Engine can output csv files which contain the location 
> (X, Y, Z) and radius (r) of each sphere component (of the DEM elements), 
> you can visualize it as a post-processing step. If it is not too large, you 
> can use Paraview, in which case you read the csv file, then apply 
> TableToPoints filter to convert the data to 3D points, then preferably use 
> Glyph filter to create "volumetric" views of the spheres. Right now 
> DEM-Engine has no run-time visualization since you probably want to use it 
> on clusters anyway.
>
> 3. You can directly modify the demos and rebuild them. Yet a better thing 
> to do is probably copy one of the demos and give it a new name, then add it 
> to the CMakeList in the demo folder. Then when you rebuild the project, 
> this demo will be built. After that, you can start modifying this new demo 
> to suit your needs. To do a vibrating powder bed simulation, the sieve demo 
> and the centrifuge demo might be good starting points. The rendering of 
> some of the demos can be found here 
> <https://uwmadison.box.com/s/u4m9tee3k1vizf097zkq3rgv54orphyv>.
>
> Thank you,
> Ruochun
>
> On Monday, May 1, 2023 at 3:47:17 AM UTC-5 [email protected] wrote:
>
>> Hello, while searching for open-source GPU-accelerated DEM simulations, I 
>> came across the project called Chrono. I am interested in using it to 
>> simulate a simple case of a vibrating powder bed and have a few questions:
>>
>> ・Can the DEM-Engine take into account particle size distribution during 
>> simulation?
>> ・How can the DEM-Engine be visualized?
>> ・How can I customize the demo?"
>>
>> Thanks,
>> Katsuyuki
>>
>

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