Evidence map›Paper›PMID 38258258›Full record

ArticleMicromachines2024

Theoretical and Experimental Investigation of Surface Textures in Vibration-Assisted Micro Milling.

Bowen Song, Dawei Zhang, Xiubing Jing, Yingying Ren, Yun Chen, Huaizhong Li

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Bowen SongKey Laboratory of Equipment Design and Manufacturing Technology, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-1295-1052
Dawei ZhangKey Laboratory of Equipment Design and Manufacturing Technology, Tianjin University, Tianjin 300072, China.
Xiubing JingKey Laboratory of Equipment Design and Manufacturing Technology, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-7649-2262
Yingying RenKey Laboratory of Equipment Design and Manufacturing Technology, Tianjin University, Tianjin 300072, China.
Yun ChenPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.ORCID 0000-0001-5548-7256
Huaizhong LiSchool of Engineering & Built Environment, Gold Coast Campus, Griffith University, Southport, QLD 4222, Australia.ORCID 0000-0002-5617-702X

Funding

National Natural Science Foundation of China 51875404National Natural Science Foundation of China 52175275Program of Ministry of Industry and Information Technology 2023ZY01082
6 · The paper itself

Abstract

Vibration-assisted micro milling is a promising technique for fabricating engineered mi-cro-scaled surface textures. This paper presents a novel approach for theoretical modeling of three-dimensional (3D) surface textures produced by vibration-assisted micro milling. The proposed model considers the effects of tool edge geometry, minimum uncut chip thickness (MUCT), and material elastic recovery. The surface texture formation under different machining parameters is simulated and analyzed through mathematical modeling. Two typical surface morphologies can be generated: wave-type and fish scale-type textures, depending on the phase difference between tool paths. A 2-degrees-of-freedom (2-DOF) vibration stage is also developed to provide vibration along the feed and cross-feed directions during micro-milling process. Micro-milling experiments on copper were carried out to verify the ability to fabricate controlled surface textures using the vibration stage. The simulated and experimentally generated surfaces show good agreement in geometry and dimensions. This work provides an accurate analytical model for vibration-assisted micro-milling surface generation and demonstrates its feasibility for efficient, flexible texturing.

Indexed as

micro millingsurface texture machiningvibration-assisted machining

Identifiers

PMID38258258
PMCPMC10821413

What OpenQuestion holds

Textmetadata
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.