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Design variable selection to simplify process calculations
Author(s) -
Lee Wooyoung,
Christensen James H.,
Rudd Dale F.
Publication year - 1966
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690120613
Subject(s) - process (computing) , variable (mathematics) , selection (genetic algorithm) , set (abstract data type) , computer science , process design , work (physics) , engineering design process , design process , variables , mathematical optimization , industrial engineering , work in process , mathematics , engineering , artificial intelligence , machine learning , mechanical engineering , mathematical analysis , operating system , operations management , programming language
During the analysis of a large process system, the values of certain design variables must be preassigned to allow the solution of the design equations. A careless selection of these distinguished variables can lead to trouble, magnifying computational problems above what need be. A method is proposed for determining a set of design variables which could minimize the computational labor associated with process analysis. This work is part of a larger project on the computer aided design of process systems.