Computer-Aided Operation Planning for an Actual Machine Tool Based on Updatable Machining Database and Database-Oriented Planning Algorithm

Author:

Igari Shinji, ,Tanaka Fumiki,Onosato Masahiko

Abstract

To generate optimal machining information, a machining database and operation planning algorithm have to be customized for an actualmachine tool based on the knowledge of a skilled planner. In this paper, a method to update a machining database from NC data is proposed. The database is updated by adding machining information extracted fromNC data, based on tool path analysis. A method of generating a database-oriented planning algorithm from the machining database based on a decision tree method is also proposed. Machining strategy, cutting tool, and cutting conditions are determined based on the algorithm and k nearest neighbor method.

Publisher

Fuji Technology Press Ltd.

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference11 articles.

1. J. R. Quinlan, “C4.5: programs for machine learning,” Morgan Kaufmann Publishers, 1993.

2. T. Segaran, “Programming Collective Intelligence,” O’Reilly Media, 2007

3. H. Kodama, T. Hirogaki, E. Aoyama, and K. Ogawa, “Determination of end milling conditions using data mining – Combination effects of hierarchical and nonhierarchical clustering for tool catalog data,” J. of the Japan Society for Abrasive Technology, Vol.55, No.1, pp. 42-47, 2011. (in Japanese)

4. X. Yan, K. Yamazaki, and J. Liu, “Extraction of milling know-how from NC programs through reverse engineering,” Int. J. of Production Research, Vol.38, No.11, pp. 2443-2457, 2000.

5. X. Yan, K. Yamazaki, and J. Liu, “Reverse engineering of machining operation planning,” Int. J. of Production Research, Vol.39, No.9, pp. 1837-1849, 2001.

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