The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Tool wear characteristics in machining of nickel-based superalloys
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Citations
Cites
Nickel-Based Superalloys for Advanced Turbine Engines: Chemistry, Microstructure and Properties
Pollock, T. M., & Tin, S. (2006) · Journal of Propulsion and Power · doi:10.2514/1.18239 · Cited by 2,581
Machining induced surface integrity in titanium and nickel alloys: A review
Ulutan, D., & Ozel, T. (2011) · International Journal of Machine Tools and Manufacture · doi:10.1016/j.ijmachtools.2010.11.003 · Cited by 1,252
Key improvements in the machining of difficult-to-cut aerospace superalloys
Ezugwu, E. O. (2005) · International Journal of Machine Tools and Manufacture · doi:10.1016/j.ijmachtools.2005.02.003 · Cited by 945
The machinability of nickel-based alloys: a review
Ezugwu, E. O., Wang, Z. M., & Machado, A. R. (1999) · Journal of Materials Processing Technology · doi:10.1016/s0924-0136(98)00314-8 · Cited by 857
A review of developments towards dry and high speed machining of Inconel 718 alloy
Dudzinski, D., Devillez, A., Moufki, A., Larrouquère, D., Zerrouki, V, & Vigneau, J. (2004) · International Journal of Machine Tools and Manufacture · doi:10.1016/s0890-6955(03)00159-7 · Cited by 716
Temperature and wear of cutting tools in high-speed machining of Inconel 718 and Ti6Al6V2Sn
Kitagawa, T., Kubo, A., & Maekawa, K. (1997) · Wear · doi:10.1016/s0043-1648(96)07255-9 · Cited by 532
Characteristics of cutting forces and chip formation in machining of titanium alloys
Sun, S., Brandt, M., & Dargusch, M. S. (2009) · International Journal of Machine Tools and Manufacture · doi:10.1016/j.ijmachtools.2009.02.008 · Cited by 485
Schulz, H., & MORIWAKI, T. (1992) · CIRP Annals · doi:10.1016/s0007-8506(07)63250-8 · Cited by 451
A review of machine vision sensors for tool condition monitoring
Kurada, S., & Bradley, C. (1997) · Computers in Industry · doi:10.1016/s0166-3615(96)00075-9 · Cited by 442
Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
Zhu, K., Wong, Y. S., & Hong, G. S. (2009) · International Journal of Machine Tools and Manufacture · doi:10.1016/j.ijmachtools.2009.02.003 · Cited by 406
Cited by
State-of-The-Art Cooling and Lubrication for Machining Inconel 718
De Bartolomeis, A., Newman, S. T., Biermann, D., & Shokrani, A. (2021) · Journal of Manufacturing Science and Engineering · doi:10.1115/1.4047842 · Cited by 43
Metadata
- Authors
- Zhu, D., Zhang, X., & Ding, H.
- Venue
- International Journal of Machine Tools and Manufacture
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 64
- Pages
- 60-77
- ISSN
- 0890-6955 (ISSN-L)
- OpenAlex
- W2019821899
- Cited by
- 580
- References
- 40
- FWCI
- 26.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Tool wear characteristics in machining of nickel-based superalloys. https://app.cochat.ai/papers/10.1016/j.ijmachtools.2012.08.001
- The paper
- Zhu, D., Zhang, X., & Ding, H. (2013). Tool wear characteristics in machining of nickel-based superalloys. International Journal of Machine Tools and Manufacture. https://doi.org/10.1016/j.ijmachtools.2012.08.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
