AIChE Symposium Series, Volume 91, Issue 304American Institute of Chemical Engineers, 1972 - Chemical engineering |
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Page 273
... function F ranges from 0 to 1 , 1 when P ; is within Pr.min and Pr.n The fit- ness decay rate is controlled by aĦ . For example , a ; for a Cp value greater than 32.3 is 100 since it gives a rapid de- cay in fitness for constraint ...
... function F ranges from 0 to 1 , 1 when P ; is within Pr.min and Pr.n The fit- ness decay rate is controlled by aĦ . For example , a ; for a Cp value greater than 32.3 is 100 since it gives a rapid de- cay in fitness for constraint ...
Page 277
... function or im- plicitly as constraints . If the product attribute measures are incorporated in the objective function , they are not bounded as one would have with their implicit incorpora- tion as constraints . There is ever ...
... function or im- plicitly as constraints . If the product attribute measures are incorporated in the objective function , they are not bounded as one would have with their implicit incorpora- tion as constraints . There is ever ...
Page 322
... function tests ( Guckenhiem- er and Holmes , 1983 ) can provide nonlocal information about the stability of a dynamic system . This test seeks a function W ( x ) where W ( x0 ) = 0 ; W ( x ) > 0 ( 7 ) A contour of W ( x ) encloses a ...
... function tests ( Guckenhiem- er and Holmes , 1983 ) can provide nonlocal information about the stability of a dynamic system . This test seeks a function W ( x ) where W ( x0 ) = 0 ; W ( x ) > 0 ( 7 ) A contour of W ( x ) encloses a ...
Contents
Keynote Address | 1 |
Separation System Synthesis and Design | 7 |
Modeling and Analysis of Multicomponent Separation Processes | 19 |
Copyright | |
29 other sections not shown
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acetic acid activities AIChE algorithm alternatives analysis application approach attainable region azeotrope azeotropic distillation batch branch and bound calculations cess Chem Chemical Engineering chemical process complex components composition concepts constraints cost CSTR data models decision-mapping defined described developed distillation column dynamic energy Engng environment equations equilibrium equipment example feed Figure Floudas flow flowsheet formulation function global optimization Grossmann hierarchical implementation industrial integration interface linear liquid logic mass material mathematical methanol methods methyl acetate MILP MINLP mixture n-dim network synthesis Newton's method nonlinear nonlinear programming paper parameters phase pinch plant pressure problem procedure process design process modelling process synthesis programming properties reac reaction reactive distillation reactor network recycle Seider separation system SimRefinery simulation solution solvent solving specific stage strategy stream structure target task techniques temperature tion unit operations values vapor variables