Evidence map›Paper›PMID 41470314›Full record

ReviewMaterials (Basel, Switzerland)2025

Research Progress on Additively Manufactured Diamond Tools.

Chenchen Tian, Chi Chen, Yi Wan, Xuekun Li

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Chenchen TianSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Chi ChenSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Yi WanSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Xuekun LiDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

Funding

Enterprise Project Contract No. 1360025173National Key Research and Development Program of China No. 2024YFB4608900National Natural Science Foundation of China No. 52205483Natural Science Foundation of Shandong Province No. ZR2022QE041TaiShan Academic Youth Expert Program No. tsqn202408010
6 · The paper itself

Abstract

With their exceptional hardness and wear resistance, diamond tools hold an irreplaceable position in critical fields such as precision machining, geological exploration, and construction engineering. However, traditional manufacturing processes like powder metallurgy still face numerous limitations in terms of structural design optimization, the controllability of diamond particle distribution, and the shortening of production cycles. In recent years, additive manufacturing has emerged as a disruptive technology that precisely constructs three-dimensional structures in a layer-by-layer manner, offering new possibilities for the customized design and functionally integrated manufacturing of high-performance and complex-structured diamond tools. This paper systematically reviews the recent research progress on the additive manufacturing of diamond tools. It focuses on summarizing the fabrication characteristics and performance of metal-bonded diamond tools, resin-bonded diamond tools, and ceramic-bond diamond tools prepared by different additive manufacturing processes. On this basis, the paper further discusses the key technical challenges and future development directions in this field, with the aim of providing a theoretical reference and technical guidance for the design optimization and engineering applications of additively manufactured diamond tools.

Indexed as

3D printingadditive manufacturingcutting toolsdiamond toolsdrilling toolsgrinding tools

Identifiers

PMID41470314
PMCPMC12735263

What OpenQuestion holds

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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.