Quality and inspection of machining operations: Tool condition monitoring

John T. Roth, Dragan Djurdjanovic, Xiaoping Yang, Laine Mears, Thomas Kurfess

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Tool condition monitoring (TCM) is an important aspect of condition based maintenance (CBM) in all manufacturing processes. Recent work on TCM has generated significant successes for a variety of cutting operations. In particular, lower cost and on-board sensors in conjunction with enhanced signal processing capabilities and improved networking has permitted significant enhancements to TCM capabilities. This paper presents an overview of TCM for drilling, turning, milling, and grinding. The focus of this paper is on the hardware and algorithms that have demonstrated success in TCM for these processes. While a variety of initial successes are reported, significantly more research is possible to extend the capabilities of TCM for the reported cutting processes as well as for many other manufacturing processes. Furthermore, no single unifying approach has been identified for TCM. Such an approach will enable the rapid expansion of TCM into other processes and a tighter integration of TCM into CBM for a wide variety of manufacturing processes and production systems.

Original languageEnglish (US)
Pages (from-to)410151-4101516
Number of pages3691366
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume132
Issue number4
DOIs
StatePublished - Aug 2010

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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