A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Real-time tool condition monitoring of face milling using acousto-optic emission an experimental approach
In metal cutting, as a result of the cutting motion, the surface of work piece will be influenced by cutting parameters, cutting force, vibrations, etc. The effects of vibrations have been paid little attention. Accurate detection of the tool conditions under given cutting conditions is very important so that worn tools can be identified and replaced in time. Objective of the present work is to predict the effects of displacements due to vibration during face milling and to examine the correlation of surface roughness along with progression of tool wear at different machining combinations so as to develop a base for online tool condition monitoring system. A laser doppler vibrometer and FFT analyser arc used for online data acquisition and subsequent processing of signals. The encouraging results of the work pave the way for the development of a real-time and reliable tool-condition-monitoring system.
Real-time tool condition monitoring of face milling using acousto-optic emission an experimental approach
In metal cutting, as a result of the cutting motion, the surface of work piece will be influenced by cutting parameters, cutting force, vibrations, etc. The effects of vibrations have been paid little attention. Accurate detection of the tool conditions under given cutting conditions is very important so that worn tools can be identified and replaced in time. Objective of the present work is to predict the effects of displacements due to vibration during face milling and to examine the correlation of surface roughness along with progression of tool wear at different machining combinations so as to develop a base for online tool condition monitoring system. A laser doppler vibrometer and FFT analyser arc used for online data acquisition and subsequent processing of signals. The encouraging results of the work pave the way for the development of a real-time and reliable tool-condition-monitoring system.
Real-time tool condition monitoring of face milling using acousto-optic emission an experimental approach
Prasad, B.Srinivasa (author) / Sarcar, M.M.M. (author) / Ben, B.Satish (author)
International Journal of Computer Applications in Technology ; 41 ; 317-325
2011
9 Seiten, 17 Quellen
Article (Journal)
English
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