Evidence map›Paper›PMID 40443226›Full record

ArticleScience progress

Research on the optimization design of gradient ceramic cutting tools based on thermomechanical coupling mechanism.

Gaoyong Zhu, Gonghai Wang, Xin He

Abstract read
In one paragraph

Article in Science progress. 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

3 authors.

Gaoyong ZhuZhejiang Ribon Intelligent Equipment Co., Ltd, Jiaxing, China.
Gonghai WangSchool of Mechatronic Engineering, Jiaxing Nanhu University, Jiaxing, China.
Xin HeSchool of Mechatronic Engineering, Jiaxing Nanhu University, Jiaxing, China.ORCID 0000-0002-5273-0780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gradient ceramic tools (GCT) have a wide range of potential applications due to their excellent thermodynamic properties and cost-effectiveness. Material distribution is a key factor affecting the performance of GCT. Currently, the material distribution status lacks adaptability with existing forming methods, which limits the further application of GCT. Additive manufacturing allows for the free forming of GCT, but there are issues of time-consuming and inaccurate data in optimizing the thermodynamic performance of GCT through experimental measurements. Therefore, in the context of additive manufacturing, a center-symmetric gradient (CSG) ceramic tool was designed using thermodynamic coupling simulation, and its thermodynamic coupling mechanism was subsequently examined. Firstly, the heat conduction theory is utilized to establish the heat conduction model of CSG ceramic tool. Subsequently, the thermal stress field is analyzed and simulated. The results indicate that the thermal stress accumulates during the initial stage I of CSG as the thermal shock time progresses. In the subsequent stage II of thermal shock duration, the maximum thermal stress point is located far from the tool tip, and all eight cutting edges are equally effective. Moving on to stage III, which is characterized by zero thermal load, the tool surface temperature decreases rapidly. However, even when the temperature field gradient difference approaches zero, residual thermal stress still persists. This residual stress is identified as the root cause of the tool material performance failure. Based on the thermodynamic coupling mechanism of CSG and additive manufacturing ideas, the three layers CSG and five layers CSG are designed using the finite element method. In sum, this study establishes a theoretical foundation for the design of GCT and serves as a reference for the development of functional devices or multimaterial structures.

Indexed as

additive manufacturingceramic cutting toolsFinite element methodgradient ceramic materialsthermal stress

Identifiers

PMID40443226
PMCPMC12126672

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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.