Automatic NC-Data generation method for 5-axis cutting of turbine-blades by finding safe heel-angles and adaptive path-intervals

Autor: Cheol Soo Lee, Gwang Ryeol Park, Cheng Dao Piao, Kyu Zong Cho
Rok vydání: 2004
Předmět:
Zdroj: KSME International Journal. 18:753-761
ISSN: 1226-4865
DOI: 10.1007/bf02990293
Popis: In this paper, an efficient method tor generating 5-axis cutting data for a turbine blade is presented. The interference elimination of 5-axis cutting currently is very complicated, and it takes up a lot of time. The proposed method can generate an interference-free tool path, within an allowance range. Generating the cutting data just point to the cutting process and using it to obtain NC data by calculating the feed rate, allows us to maintain the proper feed rate of the 5-axis machine. This paper includes the algorithms for: (1) CL data generation by detecting an interference-free heel angle, (2) finding the optimal tool path interval considering the cusp-height, (3) finding the adaptive feed rate values for each cutter path, and (4) the inverse kinematics depending on the structure of the 5-axis machine, for generating the NC data.
Databáze: OpenAIRE