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Cited by 312

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Compliant grinding and polishing: A review

Zhu, Wu-Le, Beaucamp, Anthony·2020·International Journal of Machine Tools and Manufacture

Abstract

Abstract Compliant grinding and polishing refers to a class of fine material processing methods relying on one or more system element being compliant with the workpiece surface in a controllable and reversible manner, thus being distinct from conventional rigid wheel grinding and polishing. The resulting surface adaptability greatly facilitates the ultra-precision machining of freeform surfaces, with a level of accuracy and productivity difficult to achieve with conventional rigid processing systems. Aiming for a comprehensive review of signal advances on this topic in the last decades, this paper introduces a multi-level compliance categorization system to sort between distinctive processes. For each category, various perspectives are explored that pertain to principles, methodologies, and physical properties such as material removal and surface integrity. Finally, relative merits are analyzed, together with a discussion of the outlook and future trends.

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Metadata

Authors
Zhu, W.-L., & Beaucamp, A.
Venue
International Journal of Machine Tools and Manufacture
Publisher
Elsevier BV
Published
2020-11
Volume
158
Pages
103634
ISSN
0890-6955 (ISSN-L)
OpenAlex
W3089072207
Cited by
312
References
37
FWCI
8.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Compliant grinding and polishing: A review. https://app.cochat.ai/papers/10.1016/j.ijmachtools.2020.103634
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Zhu, W.-L., & Beaucamp, A. (2020). Compliant grinding and polishing: A review. International Journal of Machine Tools and Manufacture. https://doi.org/10.1016/j.ijmachtools.2020.103634

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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.