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DTSTAMP:20240214T070242Z
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:Technical Papers, TOG\n\nMitsuki Hamamichi (Aoyama Gakuin Univ
 ersity); Kentaro Nagasawa and Masato Okada (The University of Tokyo); Ryoh
 ei Seto (Wenzhou Institute, University of Chinese Academy of Sciences; Ouj
 iang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain 
 Health)); and Yonghao Yue (Aoyama Gakuin University)\n\nWe estimate the th
 ree Herschel–Bulkley parameters (yield stress, power law index, and consis
 tency parameter) for shear-dependent fluid-like materials possibly with la
 rge-scale inclusions, for which rheometers may fail to provide a useful me
 asurement. We perform experiments using the unknown material for dam-break
  (or column collapse) setups and capture video footage. We then use simula
 tions to optimize for the material parameters. For better match up with th
 e simple shear flow encountered in a rheometer, we modify the flow rule fo
 r the elasto-viscoplastic Herschel–Bulkley model. Analyzing the loss lands
 cape for optimization, we realize a similarity relation; material paramete
 rs far away within this relation would result in matched simulations, maki
 ng it hard to distinguish the parameters. We found that by exploiting the 
 setup dependency of the similarity relation, we can improve on the estimat
 ion using multiple setups, which we propose by analyzing the Hessian of th
 e similarity relation. We validate the efficacy of our method by comparing
  the estimations to the measurements from a rheometer (for materials witho
 ut large-scale inclusions) and show applications to materials with large-s
 cale inclusions, including various salad or pasta sauces, and congee.\n\nR
 egistration Category: Full Access\n\nSession Chair: Ioannis Karamouzas (Cl
 emson University, University of California Riverside)
URL:https://asia.siggraph.org/2023/full-program?id=papers_140&sess=sess160
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