Paper Title:
Research on Parameters Optimization of Virtual NC Milling Based on Parallelism Selection Genetic Algorithm
  Abstract

To resolve key technology of parameter optimization of virtual NC milling physical simulation system, a multi-objectives optimized model was set up by non-linear programming theory and resolved by improved parallelism selection genetic algorithm. It was optimized when milling characters are sufficiently considered and machine quality was guaranteed. Sub-population size is decided by weighting each optimized object and calculating adaptation to assure importance of optimized objects and fasten convergence velocity. A kind of software that can optimize milling parameters of virtual NC was developed, and optimized strategy and validity of algorithm are verified which provides technology support for realizing virtual NC milling physical system.

  Info
Periodical
Advanced Materials Research (Volumes 97-101)
Edited by
Zhengyi Jiang and Chunliang Zhang
Pages
3498-3503
DOI
10.4028/www.scientific.net/AMR.97-101.3498
Citation
X. L. Sui, Z. W. Kong, J. H. Ge, J. T. Zhang, L. J. Jin, "Research on Parameters Optimization of Virtual NC Milling Based on Parallelism Selection Genetic Algorithm", Advanced Materials Research, Vols. 97-101, pp. 3498-3503, 2010
Online since
March 2010
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