AIChE Symposium Series, Issue 323 |
From inside the book
Results 1-3 of 78
Page 43
... variables into design and operational variables , and attempt to find a set of design variables which give rise to the maximal coverage of a parameter space 0 , where the operational variables may be adjusted for different values of 0 ...
... variables into design and operational variables , and attempt to find a set of design variables which give rise to the maximal coverage of a parameter space 0 , where the operational variables may be adjusted for different values of 0 ...
Page 115
... variables left to meet the economic objectives adequately or to handle the recycle flows in the system . The result was that the control system fell short of helping the process meet its specifications . Worse yet , the control system ...
... variables left to meet the economic objectives adequately or to handle the recycle flows in the system . The result was that the control system fell short of helping the process meet its specifications . Worse yet , the control system ...
Page 347
... variables variation to alleviate the effects of multiple simultaneous disturbances of finite magnitude on the control objectives . Nonlinear process models for different flowsheet configurations and sets of controlled and manipulated ...
... variables variation to alleviate the effects of multiple simultaneous disturbances of finite magnitude on the control objectives . Nonlinear process models for different flowsheet configurations and sets of controlled and manipulated ...
Contents
INVITED PAPERS | 1 |
RECENT DEVELOPMENTS | 21 |
The Web and Flow of Information in Pharmaceutical RD | 23 |
Copyright | |
45 other sections not shown
Common terms and phrases
AIChE algorithm analysis application azeotropic batch process behavior Biegler branch and bound CAPE-OPEN Chem Chem Eng Chemical Engineering chemical process chemical process modeling column Comp Chem components composition computational computational chemistry concepts constraints cost crystallisation distillation dynamic energy equations equipment evaluation example exergy feed Figure Floudas flow flowsheet formulation function global optimization Grossmann implementation industry information model integration interactions interface iteration J.D. Perkins kinetic lifecycle linear linear programming material mathematical methods microfabricated Microreaction Technology microreactor MINLP molecular molecular dynamics networks nonconvex nonlinear programming optimisation optimization problems Pantelides parameters particle performance phase Pistikopoulos plant process design process development process engineering process modeling process optimization process synthesis process systems properties reaction reactive distillation reactor recycle selection simulation solution solved solvents solver specific stage Stephanopoulos strategy structure techniques temperature thermodynamic unit operations