By Elso Kuljanic
The paintings comprises the result of the 6th overseas convention on complex production structures and expertise – AMST’02, which was once held in Udine in June 2002. It provides updated details at the most modern advancements – examine effects and adventure – within the box of machining of traditional and complex fabrics, computer instruments and versatile production structures, forming, nonconventional techniques, robotics, dimension and keep watch over, caliber, layout and ecodesign, fast prototyping, fast tooling and production, fabrics and mechanics.
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Additional info for AMST’02 Advanced Manufacturing Systems and Technology: Proceedings of the Sixth International Conference
In this way it is possible to detect the tool wear and the cutting tool temperature during cutting. The position and the dimensions of the wear zone are monitored on-line using geometrical, adapted mesh of strip conductors. The electrical resistance of this structure, during the signal processing correlated with their location, gives information of the wear geometry on the coated carbides insert. Also, it gives information ofthe temperature close to the cutting edge. E. Kulianic, M. ":~~ssion~ ~ EJ signal processing Direct measurement of: - temperature - wear Knowledge about: - thermal Ioad on tool and workpiece (workpiece behaviour) Possibility to: - monitor onc-off production - compensate thermal expans10n - adapt cutting conditions FIGURE 5.
R(-b_y ___ cos JC J.. ,, band h are the shear area, the width of cut, and the depth of cut (uncut chip thickness), respectively. bh z [cos(en + Zhejun, (1997), On-Line Tool Condition Monitaring System With Wavelet Fuzzy Neural Network, Journal oflntelligent Manufacturing, Vol. 8/4, 271-276 54. Zhejun, (1998), Tool Wear Monitaring With Wavelet Packet Transform-Fuzzy Clustering Method, Wear, Vol. 219/2, pp-145-154 55. , 47-69 56. -H. -J. Lin, (1996), An Intelligent Sensor Fusion System For Tool Monitaring On A Machining Center, Proceedings of the 1999 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, 208-214 57.
Zhejun, (1997), On-Line Tool Condition Monitaring System With Wavelet Fuzzy Neural Network, Journal oflntelligent Manufacturing, Vol. 8/4, 271-276 54. Zhejun, (1998), Tool Wear Monitaring With Wavelet Packet Transform-Fuzzy Clustering Method, Wear, Vol. 219/2, pp-145-154 55. , 47-69 56. -H. -J. Lin, (1996), An Intelligent Sensor Fusion System For Tool Monitaring On A Machining Center, Proceedings of the 1999 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, 208-214 57.