NDLI: Iterative optimization of tool path planning in five-axis flank milling by sampling techniques

Content Provider	IEEE Xplore Digital Library
Author	Chi-Lung Kuo Chih-Hsing Chu
Copyright Year	2015
Description	Author affiliation: Dept. of Ind. Eng. & Eng. Manage., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Chi-Lung Kuo; Chih-Hsing Chu)
Abstract	Optimization of tool path planning using meta-heuristic algorithms provides a feasible approach to reducing geometrical machining errors in 5-axis flank machining of ruled surfaces. However, these algorithms experienced unsatisfactory quality of optimal solutions and lengthy search time in high-dimensional search space. To solve this problem, we propose an iterative optimization framework by integrating sampling techniques. First, significant factors are identified by Akaike Information Criterion (AIC) from sample points generated by various sampling techniques. Simplified solution space is constructed only with those significant factors. Electromagnetism-like Mechanism (EM) is then applied to search through the simplified solution space constructed using those significant factors. Final optimal solutions are obtained after several iterations of the previous three steps. The test results of representative surfaces validate the effectiveness of the proposed framework. The solutions are similar to those of previous work while the number of calculations was significantly reduced.
Starting Page	115
Ending Page	119
File Size	1876564
Page Count	5
File Format	PDF
e-ISBN	9781467380669
DOI	10.1109/IEEM.2015.7385619
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Electromagnetism-like MechanismAlgorithm Tool path planning Sociology Machining 5-axis flank milling Path planning Sampling Statistics Optimization Surface treatment
Content Type	Text
Resource Type	Article

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