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

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Figure 22: Fuel, temperature and velocity are transferred from colliding particlesand set o small explosions. The fuel is purple, the heat is yellow, and thedensity is white. The initial velocity upon collision is shown as the big red lines.32
and pyrosolver work took time. This research only started to become more applicablehalf way through the project as various experiments were developed. Alot more experiments can be done, especially by modifying the velocity eld, butit seemed more valuable to focus on a wider range of dierent types of customeld implementations to show a broad use of the tool and the possibilities byusing custom elds. The aim was to gain control over uids by using customelds and this has been achieved through the prototype experiments. Theseexperiments are by no means production ready, as higher resolution simulationscould have given much more detailed results. But that would also have taken alot more time.The main strength of this project is that the tool that was built is easy touse with a variety of applications, yet enables users to use all the functionalityof sops, from creating geometry such as curves or particles to dening specicanimated point attributes through expressions or vops to create those artisticvolume elds. And because the tool follows conventions for dening volumeelds, the elds can be used in other context besides dops, like pops or forrendering with Mantra. Within the metaball tool there is still an optimizationthat could be made when dealing with vector elds, because the volume vopis used separately for each component and ideally would only be used once forall the components in one go. This would speed up the tool signicantly asthe metaball loop only needs to be executed once instead of three times. Theproblem lies with the output of the volume vop in SOPS, which seems to allowonly a single scalar eld to be exported and what is needed is a vector eldexport option.The microsolvers within Houdini are powerful mathematical building blocksthat are able to build bigger structures like vortex connement or entire solvers,however since the author was quite new to the eld of uid dynamics a goodunderstanding and knowledge base needed to be built up rst before more interestingexperiments could be set up. By following the mathematical equationsalongside the microsolver networks and being able to visualize the outcome ofa given calculation in the viewport so it would make sense on a geometric level,the author was able to get a good understanding of uid solvers and how tomodify them. The author recommends learning Houdini uids this way as youget information from both sides. Overall this project has been an interestingexperience even though it was biased more towards the research side than theproduction side than was originally planned. By putting the equations next tothe microsolver node networks the author hopes to have been able to create abetter understanding for other Houdini users or perhaps opened up the doorfor researchers who would want to use Houdini for development of uid solvers.By not focusing on the implementation of one big digital asset performing onespecic eect, but instead building a small and comparatively light, very usefulbuilding block to help dene custom elds, a much broader application of thetool is possible. The tool is like a microsolver in SOPS.33
Page 1 and 2: Controlling Fluid Simulations with
Page 3 and 4: 1 AbstractThere are various dierent
Page 5 and 6: Figure 2: High resolution 2d uid co
Page 7 and 8: Figure 5: The node based operator g
Page 9 and 10: sets, which means they are built fr
Page 11 and 12: • as an axis aligned plane that s
Page 13 and 14: Figure 7: The node tree for the upd
Page 15 and 16: Figure 8: The node tree showing the
Page 17 and 18: Figure 9: The node tree in Houdini
Page 19 and 20: 4.4 Up Res techniqueIn Houdini 10 a
Page 21 and 22: • The nal option is with a Gas Fi
Page 23 and 24: Figure 12: Premultiplication proble
Page 25 and 26: Figure 14: The preset smoke solver
Page 27 and 28: Figure 16: A helix curve emitting d
Page 29 and 30: Figure 19: A few stages of the adve
Page 31: Figure 21: Top: The stages of the a
Page 35: [10] Christopher Horvath and Willi

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