Autodesk CFD - Wind velocity at the end of wind tunnel is unusually high

Anonymous

Autodesk CFD - Wind velocity at the end of wind tunnel is unusually high

Anonymous
Not applicable

Please see the attached image. We have noticed this condition for simulating a building exposed to 10 MPH wind form N and/or NW directions. The surface at the end of the tunnel with zero (0) pressure shows some unexcepted results with wind reversing direction towards the building at high velocities (600 to 800 MPH)!!!  We expected to see the wind speed stay the same or slow down as it gets to the other end.

Could you please help us with understanding what is going on ….and how to correct it? Support file is also attached.

 

 

 

 

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frederic.gaillard.7
Advisor
Advisor

Hello, 

Your fluid recirculating through your 0 pressure boundary condition, and i think it induces those high velocity. 
unfortunately your support file is not available, can you share it again ? 
Try to compress your cfz file into a folder otherwise it wont work.

Thx 
fred 

Anonymous
Not applicable

I am trying to attach the zip file czf. But if the file is too large it may not go thru.

 

Also I tried to send you a link to a dropbox location via my office email. Please let me know if you could access it.

 

What is the best way to send you a link from the message board?

 

Thanks,

 

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frederic.gaillard.7
Advisor
Advisor

Hello, 

In both scenario you have recirculation which is responsible for the high velocity. Lack of mesh could be the cause. 

Try to apply a finner mesh over your model. 

- uniform et dense mesh on your BC surface (velocity and pressure) 

- Refined meshing region around your building 

However not 100% sure if it will resolve this issue. 

Fred

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frederic.gaillard.7
Advisor
Advisor

Hello, 

i'm struggling to produce a good simulation with your model. TED et TKE are diverging quickly. 

Did you read this article ? 

Other point, your building are really detailled, a lot of feature doesn't had to be there, there are too tiny to have a real impact on the general result. I will suggest you to use a simpler geometry.

Capture.JPG

Fred

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Anonymous
Not applicable

Hello Fredric,

We reviewed your suggestions. Also, regarding the simplification of the geometry. It has already been simplified to the extent that we could. We need the elements as shown in order to run the next phases of simulations when we assign high temperature discharge flow to the generators and the chillers on the roof.

 

We have not been able to find anything that could help with the extreme high velocity problem.

 

Is there any other suggestions you and others in the community can provide?

 

Thanks,

frederic.gaillard.7
Advisor
Advisor

Hello, 

I did not succeed to get rid of those unrealistic velocity. Here is what i try  : 

- uncheck hydrostatic pressure 

- add a high flow rate at the intlet to avoid  recirculation at the outlet (20'000CFM)

- refined mesh in critical area where high velocity occurs

critical area - high velocitycritical area - high velocitycritical area - unrealistic pressurecritical area - unrealistic pressure

 

I became suspicious about the geometry of your model and it might be the cause of your problem. 

  1. My advice will be : extend your air volume, it must be longer !   Your boundary condition is too close to your building and it cause recirculation through your 0 pressure BC. This behavior will screw your continuity equation (mass conservation principle) Usually, in this type of analysis, the flow rate at the intlet, must be equal to the flow who's leaving the model. You have a good summary of those quantities in the results tab under the banner summary file
  2. In the last scenario simulated, i was able to get rid of the recirculation by applying a really high flow rate (50'000CFM) the unrealistic velocities almost vanish (see picture below). If you use a smaller flow rate or velocity i.e 10mph you will need extra space to allow air to stabilize after passing near the building. 
  3. Capture2.JPG
  4. The number of element in the last analysis was quite high (4'000'000) this is why i brought up the idea of using a simpler geometry... if you have a lot of computational power go ahead, but otherwise i might be worth it to clean up your geometry. 
  5. Last point, check the mass balance of your simulated system it will give you some hint about the quality of  your analysis. 

High Intel Flow Rate RefinedHigh Intel Flow Rate Refined

i joint my CFZ 
hope it helps 
Fred

Anonymous
Not applicable

Hello Fredric,

 

Thanks for the suggestions. I increased the volume and it helped greatly and the results make more sense now. I do however still see the velocity increases on the opposite (exiting side) of the wind. This time from 10MPH up to ~ 20 to 30 MPH.  But the air patterns are all stable and streamlined. Not sure why even any velocity increase!?

 

I also could not open your attached file with 2018 version of CFD.

 

Thank you.

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Anonymous
Not applicable

I also wanted to share this screenshot from the latest simulation and the convergence plot. It has not yet shown flat lines. TED keep rising. Not sure if this is acceptable or if more time will help to flatten it.

 

Thanks,

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frederic.gaillard.7
Advisor
Advisor

Hello @Anonymous , 

 

I use the 2019 version, unfortunately you can not open the CFZ that came from a more recent version. Since you start with v2018 i will suggest you to stick with this version, there is no need to switch to this specific version. What you can do is to share your lastest cfz and i will check for the high velocity on the exit side. 

About the TED. 

TKE and TED are involved in the turbulence modeling. TED specifically are responsible for the dissipation of turbulence.
Your convergence plot look fine : 

  • the wavy profile of your TED is probably caused by a lack of mesh.
  • the overall behavior of this curve is good. You will need an extra 100 iterations to appreciate a flattened line. Usually TKE and TED tend to be equal. 

Hope it helps 
Fred

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Anonymous
Not applicable

Thanks again!

 

Few follow up questions:

1. We used the Exterior Volume from the Geometry Tool to create the  air volume around the building. But it dose not allow to close the gap below the building to model the ground. So the air flows under the building and obviously affects the air pattern around the building  and the equipment. Is there a way to close the air gap below the building and the ground?

2. We would need to assign heat generation (and rejection) to the 54 chillers on the roof.  (see attached for air flow in & out of a typical chiller).  Ambient air intake is from the 2 sides and hot air discharges from the top 2 slots (each slot representing where 10 propeller fans forcing the hot discharge air up into the atmosphere). 

 A---> How do we assign the KW to each slot (or disc)? Can this be done within a single solid element  of the Chiller or do we have to create heat generating element(s) within the chiller. (For simple quick modeling, we are assigning a fixed amount of  air  flow to the side intakes and fixed amount of  discharge air flow at a fixed higher temperature at the top. But this fixed temperature discharge method cannot take into account the variations of air intake temperature change when hot air recirculates back into the intake). We need a more accurate modeling.

B---> How do we make sure the air buoyancy is correctly represented where hot air actually rise and does not get recirculated down into the air intake stream?  Should we run the simulation as steady state, transient, …. etc. 

 

Thanks,

frederic.gaillard.7
Advisor
Advisor

Hello @Anonymous, 

Regarding to your questions :

  1. We used the Exterior Volume from the Geometry Tool to create the  air volume around the building. But it dose not allow to close the gap below the building to model the ground. So the air flows under the building and obviously affects the air pattern around the building  and the equipment. Is there a way to close the air gap below the building and the ground?
    1. From the last CFZ that i got, i dont see any air flow below the buiding. If i'm understanding your question correctly any CAD software can get rid of those gap by simply moving the air volume to the same level as the building lying. External volume can be created through the CAD as well
  2. We would need to assign heat generation (and rejection) to the 54 chillers on the roof.  (see attached for air flow in & out of a typical chiller).  Ambient air intake is from the 2 sides and hot air discharges from the top 2 slots (each slot representing where 10 propeller fans forcing the hot discharge air up into the atmosphere). 
    1. how do we assign the KW to each slot (or disc)? Can this be done within a single solid element  of the Chiller or do we have to create heat generating element(s) within the chiller. (For simple quick modeling, we are assigning a fixed amount of  air  flow to the side intakes and fixed amount of  discharge air flow at a fixed higher temperature at the top. But this fixed temperature discharge method cannot take into account the variations of air intake temperature change when hot air recirculates back into the intake). We need a more accurate modeling.
      1. Heat element had to be created separatly because you will assign a thermal volumetric boundariy condition Remember, imposing boundary condition require surface that are external to the computational domain (i.e. velocity BC (m/s) or heat flux W/in^2 can not be defined onto internal surface of the model) 
    2. How do we make sure the air buoyancy is correctly represented where hot air actually rise and does not get recirculated down into the air intake stream?  Should we run the simulation as steady state, transient, …. etc. 
      1. Here is the basic parameter to check if you want to take in account the effect of buoyancy. Make sure that the proprety of the air is setted to ''variable''.
        Capture2.JPGCapture3.JPG
      2. Do you use an initial condition ? If yes transient analysis is required otherwise use steady state analysis.
      3. http://help.autodesk.com/view/SCDSE/2019/ENU/?guid=GUID-50A1708F-4CB8-4EF9-9E85-6C947E44A7B2

If somethig remain unclear don't hesitate. 
Hope it helps 
Fred

 

 

Anonymous
Not applicable

Fredric,

 

Thanks for your timely feedbacks.

 

Please see the new attached CFD 2018 CFZ support file, and few screenshots.

 

This is the same building, with new arrangement for the rooftop chillers, (4-feet elevated and no canopies). The roof now is shown with screen walls (50% open louvers) and service platform (75% open grating). The air mass around the building was modeled with "Exterior Volume". The gap below the building is still there, we have not changed it in CAD file yet. The chillers also show "FIXED" hot air discharge at 130 F. We have not changed that yet to heat generation. … which we hope can change later on the next rounds of simulations.

 

As it is now, we are seeing problems with the meshing after the louvers and grate were added. We have tried many meshing refinements and diagnostics. But cannot figure out how to fix them.

 

Also, from the last post, we still have questions on what the best way is to change the fixed 130 F discharge temperature by adding internal heat generation source on the discharge surface of the chillers, which will allow for variable discharge air temperature.

 

Thanks for your timely feedbacks.

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frederic.gaillard.7
Advisor
Advisor

Hi @Anonymous , 

i will make a quick comment regarding your mesh problem : 

you have a mesh diagnostics tool under the mesh sizing banner it will help you to spot the area where you need to refine the mesh. Unfortunately this is what i got when use the diagnostic tool on your model : 

Capture.JPG

Long story short, you need more mesh on your surface to overcome this first difficulty. I was able to run the model by simply assign a surface mesh size of 100 (in manual mode) over your entire building.
I will come back to you tomorrow for the rest of your question as well as other recommandation.
fred

 

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frederic.gaillard.7
Advisor
Advisor

Hello Cyrus, 

Let's take a step back!

I play around with your geometry and nothing good came from your simulated scenario. CAD Geometry, CFD parameterization are dead wrong here. 

Objective 

I'm a little bit confused regarding to your goal. I'm not even sure if i understand what your trying to achieve here. 

- You are looking for the temperature inside your building ?

- The total heat transfered to the outside environment ? 

- The cooling effect brought by the cold wind ? 

- All of the above ?

Defining clearly your objective will help you to build a CAD model more suitable for your needs. All the detail does not need to appears in your geometry because some feature are often irrevelant to your objectives. Saying that, this lead me to the next topics your CAD Geometry....

 

CAD Model

In this particular case, your CAD model is the sources of all the problems : 

- You have (a lot) of overlapping wall, small edge, tiny gap. This is not sustainable of a CFD analysis.

- you have too much feature designed (tiny object in a huge space) this will eventually lead to an expensive computational simulation.

Your geometry must be cleaned or reworked. 

Air modelization inside your building

Another confusing point is what happen inside your building. Do you want to simulate the air ? if the answer is yes air has to be modeled. Right now it is modeled but only in localised area

Capture.JPGCapture1.JPG

Your cad geometry must be alligned with your goal or your objectives. 

 

CFD Parameterization 

 
General Work Flow
Beginning with a simple geometry and gradually add layer of complexity is generally a faster way to success. This mean you have to go back-and-forth between cad and cfd software but it will point out rapidly the issues that you cfd analysis is facing. 

Try to reflected on the following point : 

  1. What are the local or global information required for the intended cfd simulation.
  2. What are the important flow physic to be solved
  3. What are the area of primary interest or domain of the flow calculation
  4. What level of validation is necessary for the cfd problem

This is more general comment more than trouble shooting specific issues but i think it will helps you. 

Good luck and if you had other question don't hesistate.
Fred

Anonymous
Not applicable

Hello Fredric,

Sorry for any confusion. Please see the attached narrative.

Anonymous
Not applicable

Fredric,

 

We just suppressed the components called LOUVERS and GRATE resistance, and the meshing problem went away!

as we ran the simulation in steady state for 30 iteration. seems to be working, but not seeing the flat line in convergence yet. Now we are trying to run it longer and in transient to see what happens. Will let you know.

 

Would still like to see your feedback on the other matters.

 

Thanks,

 

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frederic.gaillard.7
Advisor
Advisor

Hello Cyrus, 

Thank you very much for your detailled answer. It's more clear now!
i will try on my end and let you know if i found something. 

Fred

 

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frederic.gaillard.7
Advisor
Advisor

Hello Cyrus, 

You have a critical area right here , inside the building where air flowing at high speed. Is it correctly modeled ? 

If it doesn't are you able to suppress the air volume in this area. 

The tiny air gap below the building might be removed as well

Capture.JPG

Capture2.JPG

 

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Anonymous
Not applicable

Hi Fredric,

 

Nothing inside the building is critical. It should all be a solid block. I think we have already assigned the entire building as solid steel. Are you seeing a gap that is not closed and connect it to the outside air? What is the best way to find it, isolate it and suppress it?

 

Also, how can we isolate the gap under the building?

 

Thanks,

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We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
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We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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