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    <title>topic NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!! in CFD Forum</title>
    <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659516#M26238</link>
    <description>&lt;P&gt;Excuse me sir,&lt;BR /&gt;&lt;BR /&gt;i just want to ask that why when i am using autodesk simulation cfd 2013 to get the lift coefficient for naca aerofoil 2415, i can't get the accurate result. according to experiment for naca 2415, angle of attack 0 degree, reynold number of 3x10^6 , the lift coefficient should be 0,2. when i am using this product, it's resulted lift coefficient is not even close to it.&lt;BR /&gt;&lt;BR /&gt;in this post i have attached my ipt file and the cfz file. please&lt;BR /&gt;&lt;BR /&gt;&lt;IMG border="0" alt="" 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" 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" /&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i solve it using solve mode :&lt;/P&gt;&lt;P&gt;- steady state&lt;/P&gt;&lt;P&gt;- tight convergence&lt;/P&gt;&lt;P&gt;- incompressible flow&lt;BR /&gt;- RNG turbulence mode&lt;BR /&gt;- enable adaption (max y+ 300)&lt;BR /&gt;- other settings are default&lt;BR /&gt;&lt;BR /&gt;please help me solving my case...&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 15 Oct 2012 12:21:08 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2012-10-15T12:21:08Z</dc:date>
    <item>
      <title>NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659516#M26238</link>
      <description>&lt;P&gt;Excuse me sir,&lt;BR /&gt;&lt;BR /&gt;i just want to ask that why when i am using autodesk simulation cfd 2013 to get the lift coefficient for naca aerofoil 2415, i can't get the accurate result. according to experiment for naca 2415, angle of attack 0 degree, reynold number of 3x10^6 , the lift coefficient should be 0,2. when i am using this product, it's resulted lift coefficient is not even close to it.&lt;BR /&gt;&lt;BR /&gt;in this post i have attached my ipt file and the cfz file. please&lt;BR /&gt;&lt;BR /&gt;&lt;IMG border="0" alt="" 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" 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" /&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i solve it using solve mode :&lt;/P&gt;&lt;P&gt;- steady state&lt;/P&gt;&lt;P&gt;- tight convergence&lt;/P&gt;&lt;P&gt;- incompressible flow&lt;BR /&gt;- RNG turbulence mode&lt;BR /&gt;- enable adaption (max y+ 300)&lt;BR /&gt;- other settings are default&lt;BR /&gt;&lt;BR /&gt;please help me solving my case...&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 15 Oct 2012 12:21:08 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659516#M26238</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2012-10-15T12:21:08Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659790#M26239</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Could you be more specifc about what value you are mesauring? Are you using the wall calculator to do this?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;One item that we should change is the Advection scheme, 5 would likely be best here.&lt;/P&gt;</description>
      <pubDate>Mon, 15 Oct 2012 15:01:28 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659790#M26239</guid>
      <dc:creator>Jon.Wilde</dc:creator>
      <dc:date>2012-10-15T15:01:28Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659842#M26240</link>
      <description>&lt;P&gt;A couple items.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;First, I would consider starting this in 2D as you can get a better understanding of the mesh required while still maintaining a quick running model. &lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would position the airfoil in the center of the domain as the sharefile you posted has it adjacent to a wall.&lt;/P&gt;
&lt;P&gt;Some external aero applications can take a little longer to develop so you may need more than 300 iterations per cycle. &lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would also recommend starting out with ADV5&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Apolo&lt;/P&gt;</description>
      <pubDate>Mon, 15 Oct 2012 14:59:43 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3659842#M26240</guid>
      <dc:creator>apolo_vanderberg</dc:creator>
      <dc:date>2012-10-15T14:59:43Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3660770#M26241</link>
      <description>&lt;P&gt;&lt;BR /&gt;i am using wall calculator method to determined the lift coefficent on this naca aerofoil 2415&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;the result was after 250 iteration..( i stop at this iteration because i thought that more iteration wouldn't give more significant change anymore..)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;IMG border="0" alt="" 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" /&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;from this result i assume that FY is the lift force, Fx is the drag force&lt;BR /&gt;&lt;BR /&gt;then i calculate the lift coefficient, the lift coefficient that i got is 0,02 .., the published naca aerofoil said that the lift coefficient for that condition should be 0,2...&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Oct 2012 06:12:04 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3660770#M26241</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2012-10-16T06:12:04Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3660774#M26242</link>
      <description>&lt;P&gt;Good morning,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What Apolo said is very true, you will definitely need to run for longer within each mesh adaption cycle.&lt;/P&gt;</description>
      <pubDate>Tue, 16 Oct 2012 06:14:13 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3660774#M26242</guid>
      <dc:creator>Jon.Wilde</dc:creator>
      <dc:date>2012-10-16T06:14:13Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3663598#M26243</link>
      <description>&lt;P&gt;i am already have done the simulation with RNG mode, 3 adaptive cyle y+ 100 with a lot of iteration (300 and more), no matter how many times i tried...&lt;BR /&gt;&lt;BR /&gt;but still when i am calculating the lift coefficient, it's not even close to the published experimental result...&lt;BR /&gt;(i am using wall calculator for calculation)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;is there anybody that can help me solving this case... &amp;nbsp;(example with any aerofoil would be very helpful)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;or can anybody give me the rope how to calculate aerodynamic force (lift coeff, and drag) of aerofoil properly..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i don't know anymore what to do..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;it would be very helpful if someone can give me the example how to calculate it accurately..., i am very grateful for your help, since i am working this case as my one of my project...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;btw i also want to ask that when we are doing simulation in 3d model, is there any different / effect whether i use steel, wood dll.., i think since the surface roughness for all material by default is zero, maybe there are no different whether using different material (my taught)...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;so far many people using ansys fluent to solve this case.. i wonder if this autodesk product can also calculate it accurately..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;waiting for good reply&lt;/P&gt;</description>
      <pubDate>Wed, 17 Oct 2012 17:29:09 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3663598#M26243</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2012-10-17T17:29:09Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3664718#M26244</link>
      <description>&lt;P&gt;Achmad,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Please understand that the recommendations we made were good replies and are for a reason so that you can learn the requirements of external aero. While you are using Mesh Adaptation, we do need to ensure that the initial mesh is appropriately tight enough to capture some of the flow gradients that will be detected and refined upon.&lt;/P&gt;
&lt;P&gt;My recommendation for you to start in 2D is one that most users would have followed so that they can understand the meshing requirements.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Simulation CFD can do well for these applications as long as you have an appropriate mesh to capture the flow characteristics. The solid material will not make a difference in these cases as the listed Surface Roughness is zero for all of them&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Attached you'll see a 2D model that I ran out that produces ~261N of Lift which would give you an appropriate lift coefficient for the NACA-2415.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As I was running this overnight I did run it out for 6500 iterations, however looking at the convergence monitor this was done ~3500 iterations.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;IMG src="https://forums.autodesk.com/t5/image/serverpage/image-id/40412iC739F8405172C753/image-size/large?v=mpbl-1&amp;amp;px=-1" border="0" alt="Naca2415.jpg" title="Naca2415.jpg" align="middle" /&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Now, you can continue moving forward with this in 2D (my recommendation) as that will be the easiest for changing profiles or angle of attach and seeing performance changes. If you decide to move to 3D understand the meshing requirements I'm showing in the attached 2D results and consider the initial mesh (if using adaptation) and ensure that there are enough iterations run for each cycle.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Apolo&lt;/P&gt;</description>
      <pubDate>Thu, 18 Oct 2012 12:05:53 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3664718#M26244</guid>
      <dc:creator>apolo_vanderberg</dc:creator>
      <dc:date>2012-10-18T12:05:53Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3665318#M26245</link>
      <description>&lt;P&gt;First i want to apologize to inventor's team if i unintentionally offended them.. "good reply" &amp;lt; i don't mean that the replies are dissapointing...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;btw i have seen apolo attachment and explanation...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;actually i have some question in my mind..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1 : is there any different result betweeen 2d simulation and 3d simulation ??&lt;/P&gt;&lt;P&gt;2 : for calculating car's aerodynamic force, should i using 3d model like explained in tutorial, or just using 2d model like the one u showed me..&lt;/P&gt;&lt;P&gt;3 : what is the different between 2d simulation and 2d planar (like extruding your model into the solid box by cutting operation, thus creating model's like hollow) (2d planar &lt;A target="_self" href="https://forums.autodesk.com/t5/Autodesk-Simulation-Mechanical/Lift-and-Drag-Force-Calculation/td-p/3206338/page/2"&gt;http://forums.autodesk.com/t5/Autodesk-Simulation-Mechanical/Lift-and-Drag-Force-Calculation/td-p/3206338/page/2)&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;as far as i seen, this model was created by extruding the aerofil solid's body into the box's solid by cutting operation thus creating a hollow like aerofoil in the box's solid .. (this one is just like my first model..)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;also i have question regarding creating mesh..&lt;/P&gt;&lt;P&gt;i have opened and studied the cfz. file that u sent to me. i still don't get it how can u make the mesh so beautifully (preview mode),&lt;/P&gt;&lt;P&gt;&lt;IMG border="0" alt="" src="data:image/png;base64,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" /&gt;&lt;/P&gt;&lt;P&gt;i only can see edge 10 and 15 (aerofoil), so where is the rest of the edge ???&lt;/P&gt;&lt;P&gt;also is there any way to hide the UCS (x,y,z), it's really bothering me..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 18 Oct 2012 16:30:35 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3665318#M26245</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2012-10-18T16:30:35Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3665548#M26246</link>
      <description>&lt;P&gt;Achmad,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;Most of us who reply here are part of the Simulation CFD Support team so our recommendations come from our experience of working with new and experienced users on a wide variety of models. It's ok, no offense was taken by your comment.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Yes there are some obvious differences between 2D and 3D. If you are studying profiles/angles of attack, 2D is by far the easiest to start with. You can then work your way to a 3D model. &lt;/P&gt;
&lt;P&gt;With 2D planar it is assumed to be 1 unit depth. The next progression would be taking the 2D model and building a 1unit deep extrusion with Slip/Symm on the front and back faces as that would be similar to the 2D run.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;We use 2D often to get an understanding of meshing requirements for certain models and then we can try to mimic that setup in the 3D environment.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You are also linking to one of our other products as that forum post is on Simulation Multiphysics which is different then Simulation CFD. In CFD, you can do a 2D Planar (built as a sketch in Inventor and then using a Boundary Patch to build a surface), or you can do a 3D model that is a 1unit extrusion as i mentioned above.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The meshing for that 2D model was using a couple featuers (that we oultine in the Help documentation). &lt;/P&gt;
&lt;P&gt;Thre was a coarser surface mesh on the full domain to capture the bulk of the physics.&lt;/P&gt;
&lt;P&gt;There was Edge mesh assignments used to ensure the airfoils shape was prperly represented&lt;/P&gt;
&lt;P&gt;Then lastly a Mesh Refinement Region used to refine the mesh closer to the airfoil and to capture the more detailed aspect of what is going on around (and in the wake of) the airfoil.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;All of those edges were what you had in your ipt for defining the Airfoil contour. Some of them are somewhat small and require zooming in to see them&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The UCS is turned on/off under the View tab with the "Axes" button.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Apolo&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 18 Oct 2012 18:36:37 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3665548#M26246</guid>
      <dc:creator>apolo_vanderberg</dc:creator>
      <dc:date>2012-10-18T18:36:37Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3666112#M26248</link>
      <description>&lt;P&gt;sir, thank's for your help i have been able to calculate the lift coefficient for my own model..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;after that, my question is, how i can determined the center of force for 2d model ?, is it possible to locating the aerodynamic center through 2d model ??&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 19 Oct 2012 05:58:59 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3666112#M26248</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2012-10-19T05:58:59Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3666518#M26249</link>
      <description>&lt;P&gt;Achmad,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/P&gt;
&lt;P&gt;When dealing with 2D, or a section of a wing, you can look at &lt;A href="http://en.wikipedia.org/wiki/Lift_coefficient" target="_self"&gt;Section Lift Coefficient&lt;/A&gt;&amp;nbsp; &lt;/P&gt;
&lt;P&gt;Here the equation is&amp;nbsp; (2*L) / rho * V^2 * c&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Since the chord length is 1 this copmutes out to a Lift coefficient of 0.21&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As you noticed in the meshing dialog, there are a number of edges that make up the airfoil so you will have to select all of the edges not just the 2 edges that are easily selected.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You are correct, Mesh Adapation is not supported in 2D, however Mesh Refinement Regions are as the file I sent you contained a mesh refinement region assigned. I outlined this when i was describing the mesh strategy.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you look at the Wall Calculator, you will see that we give information as to the Center of Force, however you will want to select all edges before trying to use this value to get an accurate representation of the pressure distribution.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Apolo&lt;/P&gt;</description>
      <pubDate>Fri, 19 Oct 2012 12:26:32 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3666518#M26249</guid>
      <dc:creator>apolo_vanderberg</dc:creator>
      <dc:date>2012-10-19T12:26:32Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3666598#M26250</link>
      <description>&lt;P&gt;Thank you for your reply sir.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i am done in caculating for lift coefficient..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;next i am going to do 3d simulation for horizontal axis wind turbine..&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;my questions are :&lt;/P&gt;&lt;P&gt;1 : does 3d simulation also already including WEIGHT in calculation (for example, when i am going to use wood and steel for torque calculation / Lift force, is there any different between wood and steel's result assuming that both surface roughness are zero) and for thermal analysis does 3d simulation is there any different for different material assuming one and another materials have different heat coefficient)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2 : is it possible to know how much rotational speed that a wind turbine can produce by given air's speed ?&lt;/P&gt;&lt;P&gt;i am going to validate my result after designing wind turbine by matching the rotational speed produced by simulation and designed rotational speed&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 19 Oct 2012 13:03:09 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3666598#M26250</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2012-10-19T13:03:09Z</dc:date>
    </item>
    <item>
      <title>Re: NACA AEROFOIL 2415 lift coefficient calculation  is not accurate !!!!!!!</title>
      <link>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3667430#M26251</link>
      <description>&lt;P&gt;Achmad,&lt;/P&gt;
&lt;P&gt;&amp;nbsp; To keep things clean for future users I would suggest you start a new thread for new questions. &lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1. In short-for steadystate, weight is not acting on the model it is just the flow field specified&lt;/P&gt;
&lt;P&gt;2. Yes, Simulation CFD can predict RPM of free spinngin devices, this is done with a Rotating Region - please see the Help Section for how to set these up and Best Practices as well as the Example pump model that will get you experience with this before trying to do this on a full wind turbine.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 19 Oct 2012 19:13:22 GMT</pubDate>
      <guid>https://forums.autodesk.com/t5/cfd-forum/naca-aerofoil-2415-lift-coefficient-calculation-is-not-accurate/m-p/3667430#M26251</guid>
      <dc:creator>apolo_vanderberg</dc:creator>
      <dc:date>2012-10-19T19:13:22Z</dc:date>
    </item>
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