Scientific Computing in Chemical Engineering II: Simulation, Image Processing, Optimization, and ControlFrerich Keil Springer Science & Business Media, 1999 M05 19 - 412 pages The application of modern methods in numerical mathematics on problems in chemical engineering is essential for designing, analyzing and running chemical processes and even entire plants. Scientific Computing in Chemical Engineering II gives the state of the art from the point of view of numerical mathematicians as well as that of engineers. The present volume as part of a two-volume edition covers topics such as computer-aided process design, combustion and flame, image processing, optimization, control, and neural networks. The volume is aimed at scientists, practitioners and graduate students in chemical engineering, industrial engineering and numerical mathematics. |
Contents
III | 2 |
IV | 19 |
V | 31 |
VI | 46 |
VII | 62 |
VIII | 77 |
IX | 93 |
X | 94 |
XXX | 236 |
XXXI | 244 |
XXXII | 253 |
XXXIII | 254 |
XXXIV | 262 |
XXXV | 270 |
XXXVI | 281 |
XXXVII | 282 |
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Common terms and phrases
algebraic algorithm application approach approximation batch bound function boundary branch and bound calculated char Chem Chemical Engineering coefficient column combustion combustor computational constraints control problems convergence convex convex hull corresponding critical points defined denotes derivatives described differential equations discrete disjunction distillation enthalpy example experimental finite flow formulation fraction Global Optimization gradients heat link Hessian hybrid systems inequalities initial value input integration iteration linear mass mathematical matrix measurements membrane MINLP model predictive control multiple shooting neural network nodes nonlinear nonlinear programming objective function operation optimal control optimisation optimization problem parallel parameter estimation phase procedure process synthesis production profiles programming reaction reactor real-time reduced simulated annealing solution solved solver soot soot particles space species SQP methods step strategy structure subsystems techniques temperature texture tion trajectory University of Heidelberg variables vector field velocity Visualization washcoat