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DTSTAMP:20240214T070241Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_140@linklings.com
SUMMARY:Non-Newtonian ViRheometry via Similarity Analysis
DESCRIPTION:Technical Papers\n\nMitsuki Hamamichi (Aoyama Gakuin Universit
 y); Kentaro Nagasawa and Masato Okada (The University of Tokyo); Ryohei Se
 to (Wenzhou Institute, University of Chinese Academy of Sciences; Oujiang 
 Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Healt
 h)); and Yonghao Yue (Aoyama Gakuin University)\n\nWe estimate the three H
 erschel–Bulkley parameters (yield stress, power law index, and consistency
  parameter) for shear-dependent fluid-like materials possibly with large-s
 cale inclusions, for which rheometers may fail to provide a useful measure
 ment. We perform experiments using the unknown material for dam-break (or 
 column collapse) setups and capture video footage. We then use simulations
  to optimize for the material parameters. For better match up with the sim
 ple shear flow encountered 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 fa
 r away within this relation would result in matched simulations, making it
  hard to distinguish the parameters. We found that by exploiting the setup
  dependency of the similarity relation, we can improve on the estimation u
 sing multiple setups, which we propose by analyzing the Hessian of the sim
 ilarity relation. We validate the efficacy of our method by comparing the 
 estimations to the measurements from a rheometer (for materials without la
 rge-scale inclusions) and show applications to materials with large-scale 
 inclusions, including various salad or pasta sauces, and congee.\n\nRegist
 ration Category: Full Access, Enhanced Access, Trade Exhibitor, Experience
  Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_140&sess=sess209
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