Full metadata record
DC FieldValueLanguage
dc.contributor.authorSu, CTen_US
dc.contributor.authorChen, MCen_US
dc.date.accessioned2014-12-08T15:46:32Z-
dc.date.available2014-12-08T15:46:32Z-
dc.date.issued1999-06-01en_US
dc.identifier.issn0740-817Xen_US
dc.identifier.urihttp://dx.doi.org/10.1023/A:1007678615643en_US
dc.identifier.urihttp://hdl.handle.net/11536/31302-
dc.description.abstractThe Computer Numerical Control (CNC) machine is one of the most effective production facilities used in manufacturing industry. Determining the optimal machining parameters is essential in the machining process planning since the machining parameters significantly affect production cost and quality of machined parts. Previous studies involving machining optimization of turning operations concentrated primarily on developing machining models for bar components. Machined parts on the CNC lathes, however, typically have continuous forms. In this study, we formulate an optimization model for turned parts with continuous forms. Also, a stochastic optimization method based on the simulated annealing algorithm and the pattern search is applied to solve this machining optimization problem. Finally, the applications of the developed machining model and the proposed optimization algorithm are established through the numerical examples.en_US
dc.language.isoen_USen_US
dc.titleComputer-aided optimization of multi-pass turning operations for continuous forms on CNC lathesen_US
dc.typeArticleen_US
dc.identifier.doi10.1023/A:1007678615643en_US
dc.identifier.journalIIE TRANSACTIONSen_US
dc.citation.volume31en_US
dc.citation.issue7en_US
dc.citation.spage583en_US
dc.citation.epage596en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000081558100001-
dc.citation.woscount5-
Appears in Collections:Articles


Files in This Item:

  1. 000081558100001.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.