The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Diamond machining of silicon: A review of advances in molecular dynamics simulation
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Citations
Cites
Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
Bartók, A. P., Payne, M. C., Kondor, R., & Csányi, G. (2010) · Physical Review Letters · doi:10.1103/physrevlett.104.136403 · Cited by 3,242
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 · cited 2×
“Machining offers the following advantages [11]:”
Ductile-regime machining model for diamond turning of brittle materials
Blackley, W. S., & Scattergood, R. O. (1991) · Precision Engineering · doi:10.1016/0141-6359(91)90500-i · Cited by 282 · cited 2×
“(c) W: Width of cut, Wd: ductile width of the chip, f: feed rate, R: tool nose radius and yc: critical damage depth, a0: Depth of cut Figure 6: Ductile-regime machining (a) analytical model (2D representation of the 3D condition showing nose radius of the tool [17, 20] (b) MD model (2D model showing cutting edge radiu…”
Metadata
- Authors
- Goel, S., Luo, X., Agrawal, A., & Reuben, R. L.
- Venue
- International Journal of Machine Tools and Manufacture
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 88
- Pages
- 131-164
- ISSN
- 0890-6955 (ISSN-L)
- OpenAlex
- W2028277511
- Cited by
- 481
- References
- 3
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Goel, S., Luo, X., Agrawal, A., & Reuben, R. L. (2015). Diamond machining of silicon: A review of advances in molecular dynamics simulation. International Journal of Machine Tools and Manufacture. https://doi.org/10.1016/j.ijmachtools.2014.09.013
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.
