An economical sculptured surface machining approach using fuzzy models and ball-nosed cutters

Ralph W.L. Ip, Henry C.W. Lau, Tung Sun Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)

Abstract

Assigning a constant feedrate for a ball-nosed cutter in the manufacturing of sculptured surfaces cannot achieve an optimum material removal rate (MRR). This is because the actual cutting speed on the cutting edges of the cutter is varying due to the change of surface gradient. In addition, the cutting force cannot be maintained at a constant level when the cutting speed changed. In this study, a fuzzy based MRR optimization approach is proposed in order to increase the machining efficiency. An optimum feedrate for each cutting point in the machining of sculptured surfaces is calculated, and the cutting force is kept constant. The surface gradient and tool life are treated as the fuzzy input variables. A machining trail demonstrated that the MRR was increased by 41% in comparison with the conventional constant feedrate cutting for the same surface.
Original languageEnglish
Pages (from-to)579-585
Number of pages7
JournalJournal of Materials Processing Technology
Volume138
Issue number1-3
DOIs
Publication statusPublished - 20 Jul 2003

Keywords

  • Feedrate control
  • Fuzzy logic
  • Sculptured surface machining

ASJC Scopus subject areas

  • Ceramics and Composites
  • Computer Science Applications
  • Metals and Alloys
  • Industrial and Manufacturing Engineering

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