Expert system based on integrated fuzzy AHP for automatic cutting tool selection

Xuan Lan Phung, Hoanh Son Truong, Ngoc Tam Bui

Research output: Contribution to journalArticle

Abstract

Cutting tool selection plays an important role in achieving reliable quality and high productivity work, and for controlling the total cost of manufacturing. However, it is complicated for process planners to choose the optimal cutting tool when faced with the choice of multiple cutting tools, multiple conflict criteria, and uncertain information. This paper presents an effective method for automatically selecting a cutting tool based on the machining feature characteristics. The optimal cutting tool type is first selected using a proposed multicriteria decision-making method with integrated fuzzy analytical hierarchy process (AHP). The inputs of this process are the feature dimensions, workpiece stability, feature quality, specific machining type, and tool access direction, which determine the cutting tool type priority after evaluating many criteria, such as the material removal capacity, tool cost, power requirement, and flexibility. Expert judgments on the criteria or attributes are collected to determine their weights. The cutting tool types are ranked in ascending order by priority. Then, the rule-based method is applied to determine other specific characteristics of the cutting tool. Cutting tool data are collected from world-leading cutting tool manufacturer, Sandvik, among others. An expert system is established, and an example is given to describe the method and its effectiveness.

Original languageEnglish
Article number4308
JournalApplied Sciences (Switzerland)
Volume9
Issue number20
DOIs
Publication statusPublished - 2019 Oct 1

Fingerprint

expert systems
Cutting tools
Expert systems
hierarchies
machining
Machining
costs
decision making
Costs
productivity
Productivity
Decision making
flexibility
manufacturing

Keywords

  • Cutting tool type selection
  • Expert system
  • Fuzzy AHP
  • Milling process
  • Multicriteria decision making

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Cite this

Expert system based on integrated fuzzy AHP for automatic cutting tool selection. / Phung, Xuan Lan; Truong, Hoanh Son; Bui, Ngoc Tam.

In: Applied Sciences (Switzerland), Vol. 9, No. 20, 4308, 01.10.2019.

Research output: Contribution to journalArticle

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