DocumentCode :
3021442
Title :
An Algorithm of Tool-Path Optimization for High-Speed Machining Deep-Cavity Precision Forging Die
Author :
Sun, P.Q. ; Chen, L.Q. ; Wang, F.Q. ; Liao, H.W.
Author_Institution :
Digital Manuf. Technol. Lab., Huaiyin Inst. of Technol., Huai´´an, China
Volume :
4
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
397
Lastpage :
401
Abstract :
Aiming at the difficulty of maintaining the contour precision of forging die with deep pocket, an optimization algorithm of tool-path generation for high speed machining (abbr. HSM) forging die with deep cavity is proposed in this paper. In terms of measuring errors of pocketing die, a mathematical model correlation to the length of a tool-path, the available length of a cutting tool and the profile errors are characterized. After the calculation of the profile errors that vary with the length of the tool-path, the helix shaped tool-path can be created. Moreover, the optimized tool-path based on the algorithm for machining die with deep cavity is also generated by using the smooth curve as transition tool-path. Depending on the Mikron Duro800 HSM Machine Tool, a precision cavity of forging die for shaping internal-star-wheel parts can be machined. The experimental results indicate that the profile precision based on the optimum algorithm has been improved by IT 1~2.
Keywords :
cutting tools; forging; machining; mathematical analysis; measurement errors; optimisation; Mikron Duro800 HSM machine tool; cutting tool; deep cavity precision forging die; high speed machining; internal star wheel parts; mathematical model; measurement errors; profile errors; tool-path optimization; Artificial intelligence; Computational intelligence; Cutting tools; Machine tools; Machining; Manufacturing; Mathematical model; Shape; Space technology; Steel; Algorithm; High speed machining; Optimization; Tool path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.338
Filename :
5376306
Link To Document :
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