Tool Wear Classification Using Fuzzy Logic for Machining of Al/SiC Composite Material
نویسندگان
چکیده
منابع مشابه
Tool Wear Classification Using Fuzzy Logic for Machining of Al/SiC Composite Material
Tool wear state classification has good potential to play a critical role in ensuring the dimensional accuracy of the work piece and prevention of damage to cutting tool in machining process. During machining process, tool wear is an important factor which contributes to the variation of spindle motor current, speed, feed and depth of cut. In the present work, on-line tool wear state detecting ...
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The challenges of machining, particularly milling, glass fibre-reinforced polymer (GFRP) composites are their abrasiveness (which lead to excessive tool wear) and susceptible to workpiece damage when improper machining parameters are used. It is imperative that the condition of cutting tool being monitored during the machining process of GFRP composites so as to re-compensating the effect of to...
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ژورنال
عنوان ژورنال: Modeling and Numerical Simulation of Material Science
سال: 2012
ISSN: 2164-5345,2164-5353
DOI: 10.4236/mnsms.2012.22003