On-line metal cutting tool condition monitoring.: I: force and vibration analyses
By D. E. Dimla, P. Lister. 2000
358 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/75aa61e2bca5ab21e9b37242dca0d1cc540a60fd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Subramaniam Shankar
- Arjan Siddhpura
- N. R. Sakthivel
- A. Pramanik
- R. Paurobally
- T. Mohanraj
- B. Pabla
- R. Rajasekar
In Mechanical Engineering
- Subramaniam Shankar
- Arjan Siddhpura
- N. R. Sakthivel
- A. Pramanik
- R. Paurobally
- T. Mohanraj
- B. Pabla
- R. Rajasekar
Citations in the corpus
- The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review (2016, methodology): “A Kistler mini accelerometer is used to monitor the online condition of metal cutting tool, and to estimate the flank wear area in inserts for CNC turning [33, 34].”
- Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the Literature (2011, background): “TABLE 3 HERE Correspondingly, of course, many scoring models applying multi-layer feed-forward nets have been used (Dimla & Lister, 2000; West, 2000; Reed & Marks, 1999; Desai et al, 1996; Bishop, 1995; Trippi & Turban, 1993).”
- A review of flank wear prediction methods for tool condition monitoring in a turning process (2012, methodology): “Jong-Jin and Ulsoy [7], Lee et al. [38], Ravindra et al. [43], Dimla and Lister [44], Nadgir and Ozel [47], Koren et al. [51], Braun et al. [52], Sikdar and Chen [55], Cakir and Isik [56], Sharma et al. [62], Dimla and Lister [127], Balazinski et al. [128], and Rao and Srikant [129] The energy of…”
- Tool condition monitoring techniques in milling process — a review (2020, methodology): “Features of vibration [89] and sound signals were usually extracted using frequency domain analysis.”