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Monitoring of Machining Processes

Prediction of Surface Roughness and its correlation with Acoustic Emission parameters in AISI 303 Steel

Erschienen am 19.04.2020, 1. Auflage 2020
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Bibliografische Daten
ISBN/EAN: 9786202517164
Sprache: Englisch
Umfang: 104 S.
Format (T/L/B): 0.7 x 22 x 15 cm
Einband: kartoniertes Buch

Beschreibung

Monitoring of machining processes is quite interesting and challenging part for the measurement and manufacturing domain. Acoustic Emission characterization is considered as an effective process monitoring technique as compared to other techniques. This book provides the systematic analysis of various factors that influence the AE response of the material deformation in turning operation and its correlation with the process of surface generation. The prediction of surface roughness is analyzed by establishing neural network model with machining parameters and surface descriptors.

Produktsicherheitsverordnung

Hersteller:
BoD - Books on Demand
info@bod.de
In de Tarpen 42
DE 22848 Norderstedt

Autorenportrait

Nikhil Khatekar is currently serving as Assistant Professor in the Department of Mechanical Engineering at PCT's A. P. Shah Institute of Technology, Thane. He did his post graduation in Manufacturing Engineering from Dr. BATU, Raigad in 2014 under the guidance of Dr. Raju Pawade. He is also a member of Indian Society of Technical Education.