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Modeling micro-end-milling operations. Part III: influence of tool wear

โœ Scribed by W.Y Bao; I.N Tansel

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
854 KB
Volume
40
Category
Article
ISSN
0890-6955

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โœฆ Synopsis

The characteristics of the cutting forces were studied at different usage levels and the analytical model of the micro-end-milling operations was modified to represent the tool wear. A new expression was derived from the model to estimate the remaining tool life from experimental data. The parameters of the model are estimated by using genetic algorithms. The difference between the simulated and experimental cutting force profiles for new and worn tools was less than 8%. The remaining tool life was estimated with typically 10% error from the experimental data. Maximum error was 20%. The introduced analytical model and genetic algorithm-based parameter estimation approach is very convenient for on-line tool wear monitoring without extensive experimental study.

๐Ÿ“œ SIMILAR VOLUMES

Modeling micro-end-milling operations. P
Modeling micro-end-milling operations. Part I: analytical cutting force model
โœ W.Y. Bao; I.N. Tansel ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 459 KB

A new analytical cutting force model is proposed for micro-end-milling operations. The model calculates the chip thickness by considering the trajectory of the tool tip while the tool rotates and moves ahead continuously. The proposed approach allows the calculation of the cutting forces to be done