BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
TZID:America/New_York
X-WR-TIMEZONE:America/New_York
BEGIN:VEVENT
UID:0-5547@eng.ufl.edu
DTSTART;TZID=America/New_York:20230124T150000
DTEND;TZID=America/New_York:20230124T160000
DTSTAMP:20251201T205803Z
URL:https://www.eng.ufl.edu/news-events/events/mse-seminar-developments-in
 -fatigue-resistant-microstructure-selection-and-design/
SUMMARY:MSE Seminar: "Developments in Fatigue Resistant Microstructure Sele
 ction and Design"
DESCRIPTION:David McDowell\, Ph.D.\nCarter N. Paden\, Jr. Distinguished C
 hair in Metals Processing\nGeorgia Institute of Technology\nDr. David McDo
 well\, Regents’ Professor\, and Carter N. Paden\, Jr. Distinguished Cha
 ir in Metals Processing\, joined Georgia Tech in 1983 and holds appointmen
 ts in both the GWW School of Mechanical Engineering and the School of Mate
 rials Science and Engineering.\n\nDirector of the Mechanical Properties Re
 search Laboratory from 1992-2012\, he served from 2012-2020 as Executive D
 irector of the Institute for Materials (IMat)\, a Georgia Tech interdiscip
 linary research institute charged with cultivating a campus-wide materials
  innovation ecosystem for research and education.\n\nMcDowell’s current 
 research interests focus on microstructure-sensitive computational approac
 hes to variability in fatigue of advanced alloy systems\, including extrem
 e value responses such as high cycle fatigue\, novel concurrent atomistic-
 continuum (CAC) coarse-grained atomistic modeling for predictive materials
  simulation\, multiscale chemo-physics modeling of point and line defect i
 nteractions with application to environmental effects\, and hierarchical c
 ontinuum multiscale modeling approaches including uncertainty quantificati
 on and propagation across length and time scales (cf. Uncertainty in Mult
 iscale Materials Modeling\, Eds. Y. Wang and D.L. McDowell\, Elsevier\, 20
 20\, ISBN: 9780081029411).\n\nHe has pursued the development of methods th
 at employ computational materials science and mechanics to inform the desi
 gn of materials\, having co-authored a related textbook (Integrated Design
  of Multiscale\, Multifunctional Materials and Products\, Elsevier\, 2010\
 , ISBN-13: 978-1-85617-662-0).\n\nMcDowell is currently a member of the ed
 itorial boards of NPJ Computational Materials and several other journals 
 and served as co-Editor of the International Journal of Fatigue from 2008 
 through 2020. In 2019-2020\, he was awarded the Georgia Tech Class of 1934
  Distinguished Professor Award and was elected as a Fellow of TMS. He was 
 elected as an Honorary Member of AIME in 2021.\nAbstract\nThe formation an
 d early growth of fatigue cracks in structural alloys is a challenging rar
 e-event phenomenon related to the statistical distributions of microstruct
 ure features. At the scale of individual grains or phases\, fundamental pr
 ocesses such as slip band structures and associated slip irreversibility l
 ead to the formation and growth of microstructurally small cracks. Bottom-
 up models for early mesoscopic fatigue crack “nucleation” processes ar
 e complicated by details of material composition\, environment\, and defec
 t structures\, and are largely inaccessible to predictive atomistic and di
 screte modeling methods. Correlations based on some decomposition of fatig
 ue crack initiation and propagation have uncertainty associated with micro
 structure effects and sample size of observations\, along with limitations
  on scale-appropriate fatigue crack growth relations.\n\nWe review our dev
 elopments over the past decade in mesoscopic computational polycrystal pla
 sticity approaches to define and compute Fatigue Indicator Parameters (FIP
 s) that serve as surrogate measures of driving forces for fatigue crack fo
 rmation and microstructurally small crack growth. Attention is focused on 
 constructing the extreme value distributions of FIPs as a function of micr
 ostructure\, which facilitates relative rank-ordering of fatigue resistanc
 e of microstructures as a function of thermomechanical process history for
  a given composition. Applications considered include high cycle fatigue r
 esponses of Ni-base superalloys\, Ti alloys\, and Al alloys. Advanced data
  science correlations are considered as a means to reduce the uncertainty 
 associated with model forms and parameters and to accelerate the assessmen
 t of FIP distributions to characterize hot spots and rank order microstruc
 tures in terms of resistance to fatigue crack formation and early growth.
CATEGORIES:Seminars
LOCATION:Rhines Hall Room 125\, 549 Gale Lemerand Drive\, Gainesville\, FL\
 , 32611\, United States
GEO:29.644403;-82.350403
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=549 Gale Lemerand Drive\, G
 ainesville\, FL\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=Rhines 
 Hall Room 125:geo:29.644403,-82.350403
END:VEVENT
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20221106T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
END:STANDARD
END:VTIMEZONE
END:VCALENDAR