An ANN-Based Method to Predict Surface Roughness in Turning Operations

In recent years, there has been a growing interest for the prediction of machining characteristics (such as surface roughness and tool wear) during machining. Several machining parameters such as cutting speed and cutting depth are known to affect the surface characteristics. Various methods are use...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) 2017-05, Vol.42 (5), p.1929-1940
Hauptverfasser:	Arapoğlu, R. Aykut, Sofuoğlu, Mehmet Alper, Orak, Sezan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cutting parameters Cutting speed Cutting wear Engineering Humanities and Social Sciences multidisciplinary Process parameters Research Article - Mechanical Engineering Science Statistical methods Surface properties Surface roughness Tool wear Turning (machining)
Online-Zugang:	Volltext
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