Mathematical Modeling of the Uncertainty for Improving Quality in Machining Operations

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dc.contributor.authorZhang, G.M.en_US
dc.contributor.authorHwang, Tsu-Weien_US
dc.contributor.authorRatnakar, R.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:53:35Z
dc.date.available2007-05-23T09:53:35Z
dc.date.issued1993en_US
dc.description.abstractThe difficulty in quality improvement of machining performance comes from the uncertainty about the cutting force generated during the material removal process. This paper presents the results from the research aimed at developing a new approach to capture the uncertainty through mathematically modeling the physical machining system. a case study is used to demonstrate the procedure to interpret the cutting force variation through a three stage process. By integrating deterministic and stochastic approaches, an observed cutting force variation, which was recorded from an experiment, can be explained satisfactorily. The reduction of uncertainty allows an accurate prediction of the cutting force variation and forms a basis for developing a control strategy for improving the machining performance.en_US
dc.format.extent466440 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5367
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1993-20en_US
dc.subjectcomputer aided manufacturing en_US
dc.subjectcomputer integrated manufacturing en_US
dc.subjectmanufacturingen_US
dc.subjectManufacturing Systemsen_US
dc.titleMathematical Modeling of the Uncertainty for Improving Quality in Machining Operationsen_US
dc.typeTechnical Reporten_US

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