Monitoring of Machining Processes
Prediction of Surface Roughness and its correlation with Acoustic Emission parameters in AISI 303 Steel
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Nikhil Khatekar, Jyotsna Bhole, Raju Pawade
Khatekar, NikhilNikhil 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.
Bibliographische Angaben
- Autoren: Nikhil Khatekar , Jyotsna Bhole , Raju Pawade
- 2020, 104 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6202517166
- ISBN-13: 9786202517164
Sprache:
Englisch
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