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Controlling Fluid Simulations with Custom Fields in Houdini Master ...

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Figure 2: High resolution 2d uid conta<strong>in</strong>ers controlled by <strong>in</strong>formation fromprojected particles created by ILM. Image taken from [10]Figure 3: Advect<strong>in</strong>g the simulation <strong>with</strong> curl noise where turbulent energy isdetected. Image taken from [14]tion can be raised quite high. The <strong>in</strong>terest<strong>in</strong>g part is that the relatively smallamount of particles are used as a way to dene the high resolution elds. Theparticles represent a custom eld, this h<strong>in</strong>ts towards the idea that the customeld does not need to have a very high resolution as some of the simulationsonly used 20.000 to 100.000 particles.3.3 Research3.3.1 Introduc<strong>in</strong>g noise <strong>in</strong> the velocity eldAnother example of the use of a custom eld to give more <strong>in</strong>terest<strong>in</strong>g results<strong>in</strong> uid simulation is the <strong>in</strong>troduction of curl-noise for procedural uid ow [3].They generate turbulent velocity elds based on Perl<strong>in</strong> noise. This type of noiseis procedural but could just as well be added to uid simulations, which is whatis be<strong>in</strong>g done <strong>in</strong> [14] <strong>with</strong> the additional condition that the curl noise is notadvect<strong>in</strong>g the velocity everywhere, but only where their physically motivatedenergy model dictates it as can be seen <strong>in</strong> Figure 3.5

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