BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230103T035311Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221208T153000
DTEND;TZID=Asia/Seoul:20221208T170000
UID:siggraphasia_SIGGRAPH Asia 2022_sess170_papers_106@linklings.com
SUMMARY:Fluidic Topology Optimization with an Anisotropic Mixture Model
DESCRIPTION:Technical Papers\n\nFluidic Topology Optimization with an Anis
 otropic Mixture Model\n\nLi, Du, Grama Srinivasan, Wu, Zhu...\n\nFluidic d
 evices are crucial components in many industrial applications involving fl
 uid mechanics. Computational design of a high-performance fluidic system f
 aces multifaceted challenges regarding its geometric representation and ph
 ysical accuracy. We present a novel topology optimization method to design
  fluidic devices in a Stokes flow context. Our approach is featured by its
  capability in accommodating a broad spectrum of boundary conditions at th
 e solid-fluid interface. Our key contribution is an anisotropic and differ
 entiable constitutive model that unifies the representation of different p
 hases and boundary conditions in a Stokes model, enabling a topology optim
 ization method that can synthesize novel structures with accurate boundary
  conditions from a background grid discretization. We demonstrate the effi
 cacy of our approach by conducting several fluidic system design tasks wit
 h over four million design parameters.\n\nRegistration Category: FULL ACCE
 SS, ON-DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_106&sess=sess17
 0
END:VEVENT
END:VCALENDAR