Publication: Sensitivities for a Single Drop Simulation
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About

Sensitivities for a Single Drop Simulation

- Part of a collection -
 

Area
Computational Fluid Dynamics

Author(s)
C. H. Bischof , H. M. Bücker , A. Rasch , E. Slusanschi

Published in
Computational Science -- ICCS 2003, Proceedings of the International Conference on Computational Science, Melbourne, Australia and St. Petersburg, Russia, June 2--4, 2003. Part II

Editor(s)
P. M. A. Sloot, D. Abramson, A. V. Bogdanov, J. J. Dongarra, A. Y. Zomaya, Y. E. Gorbachev

Year
2003

Publisher
Springer

Abstract
In process engineering, a single drop is investigated to better understand its physical and chemical behavior. Laboratory experiments using the Nuclear Magnetic Resonance (NMR) technology are prepared by numerical simulations aiming at finding a suitable geometry of the measuring cell. In the underlying numerical optimization problem, derivatives of the flow field around a single drop with respect to geometric parameters are needed. Rather than using numerical differentiation based on divided differencing, a technique called automatic differentiation is used to compute truncation-error free derivative values. It is shown that automatic differentiation is comparable to numerical differentiation in terms of CPU time but eliminates potential problems in accuracy encountered when using numerical differentiation.

AD Tools
ADIFOR

BibTeX
@INPROCEEDINGS{
         Bischof2003Sfa,
       author = "C. H.~Bischof and H. M. B{\"u}cker and A.~Rasch and E.~Slusanschi",
       title = "Sensitivities for a Single Drop Simulation",
       booktitle = "Computational Science -- ICCS~2003, Proceedings of the International Conference on
         Computational Science, Melbourne, Australia and St.~Petersburg, Russia, June~2--4, 2003. Part~II",
       editor = "P. M. A. Sloot and D. Abramson and A. V. Bogdanov and J. J. Dongarra and A. Y. Zomaya
         and Y. E. Gorbachev",
       volume = "2658",
       series = "Lecture Notes in Computer Science",
       pages = "888--896",
       address = "Berlin",
       publisher = "Springer",
       abstract = "In process engineering, a single drop is investigated to better understand its
         physical and chemical behavior. Laboratory experiments using the Nuclear Magnetic Resonance (NMR)
         technology are prepared by numerical simulations aiming at finding a suitable geometry of the
         measuring cell. In the underlying numerical optimization problem, derivatives of the flow field
         around a single drop with respect to geometric parameters are needed. Rather than using numerical
         differentiation based on divided differencing, a technique called automatic differentiation is used
         to compute truncation-error free derivative values. It is shown that automatic differentiation is
         comparable to numerical differentiation in terms of CPU time but eliminates potential problems in
         accuracy encountered when using numerical differentiation.",
       ad_area = "Computational Fluid Dynamics",
       ad_tools = "ADIFOR",
       year = "2003"
}


back
  

Contact:
autodiff.org
Username:
Password:
(lost password)