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Author Roushdy, E. H.en_US
Available date 2009-11-25T13:06:00Zen_US
Publication Date 1992en_US
Publication Name Engineering Journal of Qatar University
Citation Engineering Journal of Qatar University, 1992, Vol. 5, Pages 223-233.en_US
URI http://hdl.handle.net/10576/7958en_US
Abstract Current research in metal removal processes does not provide predictive relationships vitally needed for the selection of machining conditions or specifying limitations on the cutting tool and work material responses. Efforts in the study of tool wear have not progressed to the point that tool life can be predicted using tool and work material properties through fundamental science and engineering principles. Tool replacement decisions are dependent on sensing the wear on the tool or predicting its magnitude by empirical models. This study is an attempt to establish a tool replacement strategy that optimizes a selected performance objective. A quantitative model is presented to experimentally predict the roughness number of the machined surface from the flank wear value of the cutting tool in a turning application then to use it to develop a tool replacement strategy based on the desired machined surface roughness number as a tool failure criterion. Results prove that there is a distinct mathematical relation that ties the tool flank wear value to the resulting roughness number of the machined surface irrespective of the cutting conditions.en_US
Language enen_US
Publisher Qatar Universityen_US
Subject Engineering: Research Teachingen_US
Title Utilization Of The Desired Machined Surface Roughness Number As A Criterion For Cutting Tool Replacement Strategyen_US
Type Articleen_US
Pagination 223-233en_US
Volume Number 5en_US


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