Feed-rate control using fuzzy reasoning for NC machine tools

Fusaomi Nagata, Keigo Watanabe

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this article, a 3D design and machining system based on an NC machine tool with a rotary unit is first introduced to effectively produce attractive paint rollers. A post-processor is proposed to transform a base tool path called cutter location data (CL data) to NC data, mapping the y-directional pick feed to the rotational angle of the rotary unit. The 3D machining system with the postprocessor allows us easily to transcribe a relief design on a flat model surface to a cylindrical model surface. The postprocessor has another function that systematically adjusts the feed-rate according to the curvature of each design to prevent the machined surface from being chipped. The post-processor generates suitable feed-rate codes by using a simple fuzzy reasoning method while checking the edges in relief designs. Experimental results show that wooden paint rollers with attractive relief designs can be successfully machined without undesirable edge chipping. Next, the proposed fuzzy feed-rate generator is further applied to a mold-polishing robot, so that the polishing time can be reduced by about 30% compared with the case without the generator.

Original languageEnglish
Pages (from-to)250-257
Number of pages8
JournalArtificial Life and Robotics
Volume12
Issue number1-2
DOIs
Publication statusPublished - 2008
Externally publishedYes

Fingerprint

Paint
Fuzzy control
Machine tools
Polishing
Fungi
Machining
Robots

Keywords

  • CAD/CAM, Mold-polishing robot
  • Feed-rate control
  • Fuzzy reasoning
  • NC machine tool with a rotary unit

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Feed-rate control using fuzzy reasoning for NC machine tools. / Nagata, Fusaomi; Watanabe, Keigo.

In: Artificial Life and Robotics, Vol. 12, No. 1-2, 2008, p. 250-257.

Research output: Contribution to journalArticle

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