An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models

Abstract:

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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 et al., "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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Price:

$35.00

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