Intelligent tool selection for machining cylindrical components: Part 2: Results from the testing of the knowledge-based module

P. G. Maropoulos, B. Alamin

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper discusses the experimental results obtained by testing the knowledge-based module of the intelligent tool selection system (ITS_KBS). The main objectives of the testing programme were to check the essential functionality, verify the empirical rules and criteria and fine-tune the system. Although certain functions were tested on the computer, a large number of cutting tests were completed using steel components and the system's performance was assessed over a wide range of component geometries and cutting conditions. The cutting tests were successful since ITS_KBS selected tools and generated safe but efficient cutting data which worked on the machine tool the first time around in the large majority of instances. Overall, the results of the testing programme were very encouraging in that they verified the main research assumptions and fulfilled the expectations regarding functionality.

Original languageEnglish
Pages (from-to)183-192
Number of pages10
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume209
Issue number3
DOIs
Publication statusPublished - 01 Jun 1995
Externally publishedYes

Keywords

  • cutting tests
  • experimental results
  • intelligent cutting tool selection
  • ITS_KBS
  • knowledge-based module

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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