Evidence map›Paper›PMID 42023070›Full record

ReviewThe International journal, advanced manufacturing technology2026

Mechanisms and advances in field assisted machining of SiC.

Peixiong Wang, Wenbin Zhong, Maomao Wang, Haodong Zhao, Wenrui Wu, Peixuan Yan, Wenhan Zeng, Xiangqian Jiang

Abstract readReview
In one paragraph

Review in The International journal, advanced manufacturing technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peixiong WangCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.
Wenbin ZhongCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.ORCID 0000-0002-6895-3428
Maomao WangCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.
Haodong ZhaoCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.
Wenrui WuCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.
Peixuan YanCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.
Wenhan ZengCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.
Xiangqian JiangCentre for Precision Technologies, School of Computing and Engineering, University of Huddersfield, Huddersfield, West Yorkshire UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicon carbide (SiC) has become an increasingly important material for optical and semiconductor applications owing to its exceptional properties. However, its extreme hardness and brittleness pose significant challenges to traditional machining processes, leading to severe tool wear, low material removal rates, and suboptimal surface finishes. To overcome these issues, advanced field-assisted techniques like laser-assisted machining have emerged as promising solutions. This review provides a comprehensive overview of the mechanisms and recent advances in field-assisted machining processes of SiC, with a particular emphasis on laser-assisted machining. Critical research gaps are identified and a potential processing roadmap is outlined to pave the way for high-quality and efficient machining of SiC.

Indexed as

Field-assisted machiningHard and brittle materialsHardnessSiC

Identifiers

PMID42023070
PMCPMC13095921

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.