Evidence map›Paper›PMID 39203672›Full record

ReviewMicromachines2024

Comprehensive Review on Research Status and Progress in Precision Grinding and Machining of BK7 Glasses.

Dayong Yang, Zhiyang Zhang, Furui Wei, Shuping Li, Min Liu, Yuwei Lu

Abstract readReview
In one paragraph

Review in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Dayong YangSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.ORCID 0000-0002-9047-2698
Zhiyang ZhangSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Furui WeiSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Shuping LiSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Min LiuSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Yuwei LuSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.ORCID 0000-0003-1020-6259

Funding

National Natural Science Foundation of China no.52065003National Natural Science Foundation of China no. 52165055Science and Technolog Project of Guangxi, China no.GK AB24010188
6 · The paper itself

Abstract

BK7 glass, with its outstanding mechanical strength and optical performance, plays a crucial role in many cutting-edge technological fields and has become an indispensable and important material. These fields have extremely high requirements for the surface quality of BK7 glass, and any small defects or losses may affect its optical performance and stability. However, as a hard and brittle material, the processing of BK7 glass is extremely challenging, requiring precise control of machining parameters to avoid material fracture or excessive defects. Therefore, how to obtain the required surface quality with lower cost machining techniques has always been the focus of researchers. This article introduces the properties, application background, machining methods, material removal mechanism, and surface and subsurface damage of optical glass BK7 material. Finally, scientific predictions and prospects are made for future development trends and directions for improvement of BK7 glass machining.

Indexed as

BK7 glasshard and brittle materialsprecision grindingprecision machiningsurface qualityultrasound-assisted machining

Identifiers

PMID39203672
PMCPMC11356241

What OpenQuestion holds

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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.