Premium
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom