Modeling and optimization of flank wear and surface roughness of Monel-400 during hot turning using artificial intelligence techniques
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چکیده
منابع مشابه
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This paper presents an application of the Taguchi method parameter design to optimize the surface roughness, tool wear and cutting force by hard turning process. The Taguchi parameter design method is an efficient method in which response variable can be optimized, given various controls and using fewer experimental runs. Hard turning is the latest trend in all manufacturing industries and it i...
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In machining of parts, surface quality is one of the most specified customer requirements. Major indication of surface quality on machined parts is surface roughness. Finish hard turning using Cubic Boron Nitride (CBN) tools allows manufacturers to simplify their processes and still achieve the desired surface roughness. There are various machining parameters have an effect on the surface rough...
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متن کاملFractal Estimation of Flank Wear in Turning
A novel fractal estimation methodology, that uses—for the first time in metal cutting literature—fractal properties of machining dynamics for online estimation of cutting tool flank wear, is presented. The fractal dimensions of the attractor of machining dynamics are extracted from a collection of sensor signals using a suite of signal processing methods comprising wavelet representation and si...
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ژورنال
عنوان ژورنال: Metallurgical and Materials Engineering
سال: 2020
ISSN: 2217-8961
DOI: 10.30544/473