Evidence map›Paper›PMID 42513043›Full record

ArticleMicromachines2026

Study of the Orbital Circular Cutting in Quartz Wafers Using Electrochemical Discharge Machining with Micro-Electrodes.

A-Cheng Wang, Jung-Chou Hung, Yu-Lun Tsai, Hai-Ping Tsui

Abstract read
In one paragraph

Article in Micromachines, 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

4 authors.

A-Cheng WangDepartment of Mechanical Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan.
Jung-Chou HungDepartment of Mechanical Engineering, National Central University, Taoyuan City 320317, Taiwan.ORCID 0000-0003-4130-2876
Yu-Lun TsaiDepartment of Mechanical Engineering, National Central University, Taoyuan City 320317, Taiwan.
Hai-Ping TsuiDepartment of Mechanical Engineering, National Central University, Taoyuan City 320317, Taiwan.ORCID 0000-0002-5297-2077

Funding

National Science and Technology Council 113-2221-E-008-037
6 · The paper itself

Abstract

Quartz wafer dicing technologies primarily rely on mechanical cutting and etching processes. Mechanical cutting is easy to generate the micro-cracks along the wafer edges, which compromises component precision. Furthermore, etching processes are associated with long processing times, high manufacturing costs, and environmental concerns. To address these limitations, this study proposes an electrochemical discharge cutting machining (ECDCM) method using a micro-tungsten carbide helical electrode performing orbital circular cutting (OCC) to evaluate the feasibility and optimization of quartz wafer dicing. Experimental studies were conducted to evaluate the effects of applied voltage, pulse duration, Z-axis feed rate, and duty factor on slot width, slot depth, slot surface quality and tool electrode wear. The results demonstrate that employing an OCC of micro-electrode facilitates the efficient flow of electrolyte into the machining zone, thereby enhancing discharge stability and slot quality. Compared to circular path cutting (CPC) with a rotating electrode, the proposed method reduces machining time by nearly four times and decreases material loss during circular quartz wafer cutting by approximately 50%. These findings indicate that the proposed machining approach provides high efficiency and high-quality quartz wafer cutting.

Indexed as

circular path cuttingelectrochemical discharge cutting machiningmicro-helical electrodeorbital circular cuttingquartz wafer

Identifiers

PMID42513043
PMCPMC13413477

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.