Evidence map›Paper›PMID 42513816›Full record

ArticleMaterials (Basel, Switzerland)2026

PFC Simulation and Experimental Investigation of Crack Evolution and Surface Morphology in Rehbinder-Effect-Assisted Longitudinal-Torsional Ultrasonic Vibration Milling of Borosilicate Glass.

Jie Yi, Rui Wang, Tao Wang, Xiaojie Liu, Cuicui Li, Junfeng Xiang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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

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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

6 authors.

Jie YiSchool of Mechanical and Electronic Engineering, Shandong Jianzhu University, Jinan 250101, China.ORCID 0000-0002-4012-6172
Rui WangSchool of Mechanical and Electronic Engineering, Shandong Jianzhu University, Jinan 250101, China.
Tao WangInstitute of Ultrasonic Technology, Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen 518055, China.
Xiaojie LiuSchool of Mechanical and Electronic Engineering, Shandong Jianzhu University, Jinan 250101, China.
Cuicui LiShandong Zhangqiu Blower Co., Ltd., Jinan 250200, China.
Junfeng XiangSchool of Civil Aviation, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0002-6877-1720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Borosilicate glass is widely used in microfluidic chips, optical components, and precision devices, but it is susceptible to cracking and subsurface damage during machining because of its high hardness and brittleness. Longitudinal-torsional ultrasonic vibration-assisted milling (LTUVAM) can improve material removal stability, whereas the Rehbinder effect can reduce surface energy and weaken local material resistance. In this study, the additional effect of a Rehbinder-active medium under LTUVAM conditions was investigated to reduce crack-related surface damage and improve surface integrity. First, a two-dimensional cutting model of borosilicate glass was established using Particle Flow Code in two dimensions (PFC2D) to simulate crack initiation and propagation under conventional milling (CM) and LTUVAM conditions. The simulation results show that ultrasonic vibration promoted finer and more distributed microcracks and reduced the development of large-scale fractures, thereby modifying the brittle material removal behavior. Subsequently, milling experiments were conducted under LTUVAM conditions with a Rehbinder-active medium supplied to the cutting zone. Compared with LTUVAM without the solution, the proposed process significantly reduced surface roughness, with maximum reductions of 40.7% in

Indexed as

borosilicate glassdiscrete element methodlongitudinal–torsional ultrasonic vibration-assisted millingPFC2DRehbinder effectsurface roughness

Identifiers

PMID42513816
PMCPMC13414221

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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.