Computer integrated machining parameter selection in a job shop using expert systems and algorithms

The research for this dissertation is focused on the selection of machining parameters for a job shop using expert systems and algorithms. The machining processes are analyzed in detail and rule based expert systems are developed for the analysis of process plans based on operation and work-material compatibility, the selection of machines, cutting tools, cutting fluids, and tool angles. Data base design is examined for this problem. Algorithms are developed to evaluate the selection of machines and cutting tools based on cost considerations. An algorithm for optimizing cutting conditions in turning operations has been developed. Data framework and evaluation procedures are developed for other machining operations involving different types of machines and tools.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Industrial Engineering and Operations Research

Department dc:contributor.department

Industrial Engineering and Operations Research

Grantor dc:publisher

Virginia Polytechnic Institute and State University

Year dc:date.issued

1988

Author dc:creator

• Gopalakrishnan, B.

Chair dc:contributor.committeechair

• Ghare, Prabhakar M.

Committee members dc:contributor.committeemember

• Dryden, Robert D.
• Triantis, Konstantinos P.
• Russell, Roberta S.
• Sumichrast, Robert T.

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/10919/53697

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/53697