The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis
Open accessAbstract
The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimising the drilling process parameters for the work piece surface roughness and the burr height is introduced. Various drilling parameters, such as feed rate, cutting speed, drill and point angles of drill were considered. An orthogonal array was used for the experimental design. Optimal machining parameters were determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics (the surface roughness and the burr height). Experimental results have shown that the surface roughness and the burr height in the drilling process can be improved effectively through the new approach .
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Introduction to Grey system theory
Deng, J. (1989) · The journal of grey system/Journal of grey system · doi:10.5555/90757.90758 · Cited by 4,197
Taguchi Techniques for Quality Engineering
Bement, T. R. (1989) · Technometrics · doi:10.1080/00401706.1989.10488519 · Cited by 2,718
Taylor, F. W. (1907) · Scientific American · doi:10.1038/scientificamerican01121907-25942supp · Cited by 843
An approach for development of damage-free drilling of carbon fiber reinforced thermosets
Enemuoh, E. U., El-Gizawy, A. S., & Okafor, A. C. (2001) · International Journal of Machine Tools and Manufacture · doi:10.1016/s0890-6955(01)00035-9 · Cited by 162
Davim, J. P., & António, C. A. C. (2001) · International Journal of Machine Tools and Manufacture · doi:10.1016/s0890-6955(00)00071-7 · Cited by 87
Optimisation for hot turning operations with multiple performance characteristics
Tosun, N., & Özler, L. (2004) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-003-1672-4 · Cited by 86
Self-citationThe Application of an ANFIS and Grey System Method in Turning Tool-Failure Detection
Lo, S.-P. (2002) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s001700200061 · Cited by 83
Lin, T.-R. (2002) · Journal of Materials Processing Technology · doi:10.1016/s0924-0136(02)00073-0 · Cited by 50
Cited by
Yang, D., Zhang, X., Pan, R., Wang, Y., & Chen, Z. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.03.015 · Cited by 765
Deng, Z., Hu, X., Lin, X., Che, Y., Xu, L., & Guo, W. (2020) · Energy · doi:10.1016/j.energy.2020.118000 · Cited by 423
Tan, Y., & Zhao, G. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2946551 · Cited by 376
Experimental investigation and optimisation in drilling of GFRP composites
Palanikumar, K. (2011) · Measurement · doi:10.1016/j.measurement.2011.07.023 · Cited by 275
Anand, G., Alagumurthi, N., Elansezhian, R., Palanikumar, K., & Venkateshwaran, N. (2018) · Journal of the Brazilian Society of Mechanical Sciences and Engineering · doi:10.1007/s40430-018-1137-1 · Cited by 79
Metadata
- Authors
- Tosun, N.
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2005-05-11
- Volume
- 28
- Issue
- 5-6
- Pages
- 450-455
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W2127238875
- Cited by
- 470
- References
- 9
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. https://app.cochat.ai/papers/10.1007/s00170-004-2386-y
- The paper
- Tosun, N. (2006). Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-004-2386-y
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.
