Evidence map›Paper›PMID 42457713›Full record

ArticleNature communications2026

Non-Destructive Blade Sharpness Characterization Using a High-Shear Responsive Fluid and Analytical Drag Modeling.

Haolin Zhao, Pingfa Feng, Nana Chai, Youhong Gong, Enlai Jiang, Qizhong Yue, Jie Xu, Feng Feng

Abstract read
In one paragraph

Article in Nature communications, 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
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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.

Haolin ZhaoDivision of Intelligent Instrument and Equipment, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0002-6045-0906
Pingfa FengDivision of Intelligent Instrument and Equipment, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0002-8090-1508
Nana ChaiCOMAC Shanghai Aircraft Manufacturing Co., Ltd., Shanghai, 201324, China.
Youhong GongCOMAC Shanghai Aircraft Manufacturing Co., Ltd., Shanghai, 201324, China.
Enlai JiangDivision of Intelligent Instrument and Equipment, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
Qizhong YueDivision of Intelligent Instrument and Equipment, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0001-9689-3074
Jie XuDivision of Intelligent Instrument and Equipment, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
Feng FengDivision of Intelligent Instrument and Equipment, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China. feng.feng@sz.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-3960-7761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For various thin-edged blades and tools, the traditional sharpness measurement techniques (e.g., optical measurements and solid material cutting tests) suffer from drawbacks such as lengthy testing time, high cost, and material waste. To fill this gap, a sharpness evaluation method based on a high-shear-responsive fluid was proposed in this study for such scenarios. A tailored fluid formulation was developed to detect edge variation with micron-scale sensitivity. The drag-decomposition framework, by utilizing cross-model rheology with Hiemenz and Falkner-Skan solutions, was established, and the real-fluid behaviors for sharpness evaluation were predicted by simulation. Experiments were carried out using a specifically developed platform to model the relationship between edge radius, cutting speed, penetration depth and force responses. Furthermore, an analytical sharpness index by integrating wedge-flow theory with shear-rate-dependent viscosity was proposed, proving the positive contribution to sensitivity. These results highlight the need for nonlinear modeling and precise fluid selection in blade-sharpness measurement, and provide a basis for further investigation of fluid-mediated sharpness evaluation.

Identifiers

PMID42457713
PMCPMC13490511

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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.