2017
DOI: 10.1145/3072959.3073630
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A multi-scale model for simulating liquid-hair interactions

Abstract: Fig. 1. Hair is submerged in water and then rapidly flipped, resulting in wet locks and dripping.The diverse interactions between hair and liquid are complex and span multiple length scales, yet are central to the appearance of humans and animals in many situations. We therefore propose a novel multi-component simulation framework that treats many of the key physical mechanisms governing the dynamics of wet hair. The foundations of our approach are a discrete rod model for hair and a particle-in-cell model for… Show more

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Cited by 51 publications
(17 citation statements)
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“…They proposed interactions between porous sand and water based on a continuum mixture theory and simulated the cohesion effects of sand according to the amount of absorbed water. Fei et al have proposed a multicomponent simulation framework that can physically represent water condensation, dripping, and clumping effects in wet hair. These techniques proposed cohesion modeling and hair–water interaction techniques based on continuum mechanics and physics.…”
Section: Discussionmentioning
confidence: 99%
“…They proposed interactions between porous sand and water based on a continuum mixture theory and simulated the cohesion effects of sand according to the amount of absorbed water. Fei et al have proposed a multicomponent simulation framework that can physically represent water condensation, dripping, and clumping effects in wet hair. These techniques proposed cohesion modeling and hair–water interaction techniques based on continuum mechanics and physics.…”
Section: Discussionmentioning
confidence: 99%
“…A good overview of fluid simulations for computer animation can be found in the book by R. Bridson [Bri15]. Aiming for more complex systems, other works have targeted coupled reduced order models, or sub‐grid coupling effects [TLK16, FMB∗17]. While we do not target coupled fluid solvers in our work, these directions of course represent interesting future topics.…”
Section: Related Work and Backgroundmentioning
confidence: 99%
“…We embed hair particles in the KDSM and treat the hair using the KDSM as in [10] (we also refer the interested reader to [66], [67], [68], [69] for more discussion on hairwater interaction). Our hair-water approach is volumetric in nature, rasterizing multitude of hair representation into KDSM as opposed to [68], where they focus on a reduced model for individual hair strands. As a result, our method handles hair-water interaction with 540k hairs as opposed to 5k and 30k as given in [66] and [68], respectively.…”
Section: Hair-water Interactionmentioning
confidence: 99%