Evidence map›Paper›PMID 41156434›Full record

ReviewMicromachines2025

Recent Advances in Precision Diamond Wheel Dicing Technology.

Fengjun Chen, Meiling Du, Ming Feng, Rui Bao, Lu Jing, Qiu Hong, Linwei Xiao, Jian Liu

Abstract readReview
In one paragraph

Review in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Fengjun ChenSchool of Robot Engineering, Wenzhou University of Technology, Wenzhou 325000, China.ORCID 0000-0001-5398-8874
Meiling DuSchool of Robot Engineering, Wenzhou University of Technology, Wenzhou 325000, China.
Ming FengSchool of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
Rui BaoCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China.
Lu JingSchool of Robot Engineering, Wenzhou University of Technology, Wenzhou 325000, China.
Qiu HongSchool of Robot Engineering, Wenzhou University of Technology, Wenzhou 325000, China.
Linwei XiaoSchool of Robot Engineering, Wenzhou University of Technology, Wenzhou 325000, China.
Jian LiuSchool of Robot Engineering, Wenzhou University of Technology, Wenzhou 325000, China.

Funding

National Natural Science Foundation of China 52375424Science and Technology Plan Project of Wenzhou Municipality G2023050, X2023108Zhejiang Provincial Natural Science Foundation of China LZ24E050001
6 · The paper itself

Abstract

Precision dicing with diamond wheels is a key technology in semiconductor dicing, integrated circuit manufacturing, aerospace, and other fields, owing to its high precision, high efficiency, and broad material applicability. As a critical processing stage, a comprehensive analysis of dicing technologies is essential for improving the machining quality of hard-and-brittle optoelectronic materials. This paper reviews the core principles of precision diamond wheel dicing, including dicing processes and blade preparation methods. Specifically, it examines the dicing mechanisms of composite and multi-mode dicing processes, demonstrating their efficacy in reducing defects inherent to single-mode approaches. The review also examines diverse preparation methods for dicing blades, such as metal binder sintering and roll forming. Furthermore, the roles of machine vision and servo control systems are detailed, illustrating how advanced algorithms facilitate precise feature recognition and scribe line control. A systematic analysis of key components in grinding wheel dicer is also conducted to reduce dicing deviation. Additionally, the review introduces models for tool wear detection and discusses material removal mechanisms. The influence of critical process parameters-such as spindle speed, feed rate, and dicing depth-on dicing quality and kerf width is also analyzed. Finally, the paper outlines future prospects and provides recommendations for advancing key technologies in precision dicing, offering a valuable reference for subsequent research.

Indexed as

control algorithmsdiamond bladedicing processprocess parameterstool wear

Identifiers

PMID41156434
PMCPMC12565965

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.