Evidence map›Paper›PMID 40363490›Full record

ArticleMaterials (Basel, Switzerland)2025

Research on the Layout Design of Auxiliary Support Modules for Suppressing Machining Chatter in Thin-Walled Beams.

Junping Feng, Yifei Gu, Zhuang Mu, Jiawei Wang, Zongyang Du, Wenbo He, Kean Aw, Yinfei Yang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

8 authors.

Junping FengSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Yifei GuSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Zhuang MuCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.
Jiawei WangSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Zongyang DuSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Wenbo HeNanjing Hangdian Intelligent Manufacturing Technology Co., Ltd., Nanjing 210014, China.
Kean AwDepartment of Mechanical and Mechatronics Engineering, University of Auckland, Auckland 1010, New Zealand.ORCID 0000-0001-9308-508X
Yinfei YangCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.

Funding

The National Science and Technology Major Project 2017-VII-0001-0094The National Science Foundation of China 52075251
6 · The paper itself

Abstract

A well-designed clamping layout significantly enhances the dynamic stiffness of a manufacturing system, improving its stability and suppressing cutting chatter in workpieces. This paper focuses on the machining of thin-walled beams, which are prone to vibration and have low stiffness, especially under hydraulic floating clamping conditions. By analyzing the system stability domain, we propose a method to improve system stiffness through strategic design of support module layouts. Finite element dynamic simulations and modal hammer experiments were conducted to validate this approach. The results show that the proposed layout design method increases the relative central frequency by 13.49% and the relative fundamental frequency by 8.51%. These findings demonstrate a substantial improvement in the dynamic stiffness of the part-clamping system, confirming that the auxiliary support module layout design method effectively enhances system dynamic stiffness and suppresses cutting chatter.

Indexed as

auxiliary supportcutting chatteringmodule layoutnatural frequencyweak-stiffness thin-walled beam

Identifiers

PMID40363490
PMCPMC12072668

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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.