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DTSTAMP:20260114T163654Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T153000
DTEND;TZID=Australia/Melbourne:20231212T154500
UID:siggraphasia_SIGGRAPH Asia 2023_sess160_papers_140@linklings.com
SUMMARY:Non-Newtonian ViRheometry via Similarity Analysis
DESCRIPTION:Mitsuki Hamamichi (Aoyama Gakuin University); Kentaro Nagasawa
  and Masato Okada (The University of Tokyo); Ryohei Seto (Wenzhou Institut
 e, University of Chinese Academy of Sciences; Oujiang Laboratory (Zhejiang
  Lab for Regenerative Medicine, Vision and Brain Health)); and Yonghao Yue
  (Aoyama Gakuin University)\n\nWe estimate the three Herschel–Bulkley para
 meters (yield stress, power law index, and consistency parameter) for shea
 r-dependent fluid-like materials possibly with large-scale inclusions, for
  which rheometers may fail to provide a useful measurement. We perform exp
 eriments using the unknown material for dam-break (or column collapse) set
 ups and capture video footage. We then use simulations to optimize for the
  material parameters. For better match up with the simple shear flow encou
 ntered in a rheometer, we modify the flow rule for the elasto-viscoplastic
  Herschel–Bulkley model. Analyzing the loss landscape for optimization, we
  realize a similarity relation; material parameters far away within this r
 elation would result in matched simulations, making it hard to distinguish
  the parameters. We found that by exploiting the setup dependency of the s
 imilarity relation, we can improve on the estimation using multiple setups
 , which we propose by analyzing the Hessian of the similarity relation. We
  validate the efficacy of our method by comparing the estimations to the m
 easurements from a rheometer (for materials without large-scale inclusions
 ) and show applications to materials with large-scale inclusions, includin
 g various salad or pasta sauces, and congee.\n\nRegistration Category: Ful
 l Access\n\nSession Chair: Ioannis Karamouzas (University of California Ri
 verside)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_140&sess=sess160
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