Evidence map›Paper›PMID 42512979›Full record

ArticleMicromachines2026

Optimization of the Immersion Chemical-Mechanical Polishing Process for Gear.

Jian Sun, Longxing Liao, Fuli Cai, Mengqiao Guan

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.

Jian SunCollege of Artificial Intelligence and Big Data, Luzhou Vocational and Technical College, Luzhou 646000, China.
Longxing LiaoCollege of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China.
Fuli CaiCollege of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China.ORCID 0009-0002-1543-1586
Mengqiao GuanCollege of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China.

Funding

Luzhou Science and Technology Program 2024JYJ077National Natural Science Foundation of China 52305058
6 · The paper itself

Abstract

To address surface quality defects caused by traditional mechanical polishing of gears, such as machining scratches and large surface waviness, this study proposes a novel immersed chemical-mechanical polishing (CMP) process for gear finishing. Numerical simulations were conducted in FLUENT to analyze the gear surface stress distribution and polishing fluid flow trajectories under different process conditions. The Euler-Euler method and RNG k-ε turbulence model were used to optimize process parameters and clarify the formation mechanism of ultra-smooth tooth surfaces. Experimental results for spiral bevel gears show that the proposed immersed CMP process effectively improves surface quality. The tooth profile roughness was reduced from Ra 1.531 μm to 0.509 μm, and surface scratches were significantly alleviated. These results confirm the feasibility and effectiveness of the proposed process. This study provides a reliable approach for efficient and precision polishing of complex-structured gears and extends the application of CMP technology to non-planar mechanical components.

Indexed as

FLUENT simulationgearsimmersed chemical-mechanical polishingprocess optimization

Identifiers

PMID42512979
PMCPMC13414419

What OpenQuestion holds

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LicenceCC BY
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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.