Evidence map›Paper›PMID 37893407›Full record

ArticleMicromachines2023

An Investigation into the Surface Integrity of Micro-Machined High-Speed Steel and Tungsten Carbide Cutting Tools.

Minh Nhat Dang, Surinder Singh, John H Navarro-Devia, Hannah J King, Rosalie K Hocking, Scott A Wade, Guy Stephens, Angelo Papageorgiou, James Wang

Abstract read
In one paragraph

Article in Micromachines, 2023. 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

9 authors.

Minh Nhat DangThe Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Engineering, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.ORCID 0000-0003-2221-6649
Surinder SinghThe Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Engineering, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.ORCID 0000-0002-3375-6088
John H Navarro-DeviaSutton Tools, 378 Settlement Rd, Thomastown, VIC 3074, Australia.ORCID 0000-0003-2369-0596
Hannah J KingThe Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Engineering, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.ORCID 0000-0002-2548-2603
Rosalie K HockingThe Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Engineering, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.
Scott A WadeThe Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Engineering, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.ORCID 0000-0002-7174-5590
Guy StephensSutton Tools, 378 Settlement Rd, Thomastown, VIC 3074, Australia.
Angelo PapageorgiouSutton Tools, 378 Settlement Rd, Thomastown, VIC 3074, Australia.
James WangThe Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Engineering, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.

Funding

Australian Research Council Industrial Transformation Training Centre funding scheme, in Surface Engineering for Advanced Materials IC180100005
6 · The paper itself

Abstract

The performance and lifespan of cutting tools are significantly influenced by their surface quality. The present report highlights recent advances in enhancing the surface characteristics of tungsten carbide and high-speed steel cutting tools using a novel micro-machining technique for polishing and edge-honing. Notably, the main aim was to reduce the surface roughness while maintaining the hardness of the materials at an optimal level. By conducting a thorough analysis of surfaces obtained using different techniques, it was found that the micro-machining method effectively decreased the surface roughness of the cutting tools the most effectively out of the techniques investigated. Significantly, the surface roughness was reduced from an initial measurement of 400 nm to an impressive value of 60 nm. No significant change in hardness was observed, which guarantees the maintenance of the mechanical properties of the cutting tools. This analysis enhances the comprehension of surface enhancement methodologies for cutting tools through the presentation of these findings. The observed decrease in surface roughness, along with the consistent hardness, exhibits potential for improving tool performance. These enhancements possess the capacity to optimise manufacturing processes, increase tool reliability, and minimise waste generation.

Indexed as

cutting toolshigh-speed steelsmicro machiningsurface roughnesstungsten carbide

Identifiers

PMID37893407
PMCPMC10608892

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.