Paper Title:
An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
  Abstract

In free-form surface machining, it is essential to optimize the feedrate in order to improve the machining efficiency. Conservative constant feedrate values have been mostly used since there was a lack of physical models and optimization tools for the machining processes. The overall goal of this research is the integration of geometric and mechanistic milling models for force prediction and feedrate scheduling for free-form surface machining. For each tool move a geometric model calculates the cutting geometry parameters, then a mechanistic model uses this information with the constraint force to calculate desired feedrates. The feedrate is written into the part program. When the integrated modeling approach was used, it was shown that the machining time can be decreased significantly along the tool path. Production time in machining propeller example was reduced to 35% compared to constant feedrate cases.

  Info
Periodical
Key Engineering Materials (Volumes 392-394)
Edited by
Guanglin Wang, Huifeng Wang and Jun Liu
Pages
211-215
DOI
10.4028/www.scientific.net/KEM.392-394.211
Citation
L. Q. Zhang, Y. H. Wang, M. Chen, "An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models", Key Engineering Materials, Vols. 392-394, pp. 211-215, 2009
Online since
October 2008
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