F
Francis E. Kennedy
Researcher at Dartmouth College
Publications - 145
Citations - 7745
Francis E. Kennedy is an academic researcher from Dartmouth College. The author has contributed to research in topics: Tribology & Finite element method. The author has an hindex of 43, co-authored 144 publications receiving 7341 citations. Previous affiliations of Francis E. Kennedy include Dartmouth–Hitchcock Medical Center & Rensselaer Polytechnic Institute.
Papers
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Journal ArticleDOI
Prediction of rupture risk in abdominal aortic aneurysm during observation: Wall stress versus diameter
TL;DR: For AAAs under observation, peak AAA wall stress seems superior to diameter in differentiating patients who will experience catastrophic outcome, and with proportional hazards analysis, peak wall stress and gender were the only significant independent predictors of rupture.
Journal ArticleDOI
In vivo analysis of mechanical wall stress and abdominal aortic aneurysm rupture risk.
Mark F. Fillinger,Madhavan L. Raghavan,Steven P. Marra,Jack L. Cronenwett,Francis E. Kennedy +4 more
TL;DR: Calculation of wall stress with computer modeling of three-dimensional AAA geometry appears to assess rupture risk more accurately than AAA diameter or other previously proposed clinical indices.
Journal ArticleDOI
Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases.
TL;DR: The data suggest that loss of spatial registration with preoperative images is gravity-dominated and of sufficient extent that attention to errors resulting from misregistration during the course of surgery is warranted.
Journal ArticleDOI
Maximum and Average Flash Temperatures in Sliding Contacts
Xuefeng Tian,Francis E. Kennedy +1 more
TL;DR: In this article, the surface temperature rise for a semi-infinite body due to different moving heat sources was analyzed for the entire range of Peclet number using a Green's function method.
Book
Applied Tribology: Bearing Design and Lubrication
TL;DR: In this paper, the authors present a Tribology of friction, wear, and lubrication for bearing materials, as well as their application in the field of failure detection and failure analysis.