Khatekar nikhil (8 Ergebnisse)

Zustand: New.

Taschenbuch. Zustand: Neu. Monitoring of Machining Processes | Prediction of Surface Roughness and its correlation with Acoustic Emission parameters in AISI 303 Steel | Nikhil Khatekar (u. a.) | Taschenbuch | 104 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202517164 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 104 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: 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 D.…

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.…