Monitoring of Machining Processes - Prediction of Surface Roughness and its correlation with Acoustic Emission parameters in AISI 303 Steel

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.

About the author

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. 

Product details

• Authors: Jyotsn Bhole, Jyotsna Bhole, Nikhi Khatekar, Nikhil Khatekar, Raju Pawade
• Publisher: LAP Lambert Academic Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2020
• EAN: 9786202517164
• ISBN: 9786202517164
• No. of pages: 104
• Subject: Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering