Evidence map›Paper›PMID 42451874›Full record

ArticleMaterials (Basel, Switzerland)2026

Fluid-Thermal-Structure Coupled Analysis on the Tempering Characteristics of Glassware During Air Cooling.

Kang An, Hao Zheng, Chi Qin, Pengfei Zhang, Yajing Zhang, Wenbin Dong

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.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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.

Kang AnCollege of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou 239000, China.
Hao ZhengCollege of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou 239000, China.
Chi QinCollege of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou 239000, China.
Pengfei ZhangCollege of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou 239000, China.
Yajing ZhangCollege of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou 239000, China.
Wenbin DongCollege of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou 239000, China.

Funding

Anhui Fengyang Huaihe Glass Co., Ltd 882197the Joint Postgraduate Training Demonstration Base of Anhui Science and Technology University and Anhui Fengyang Huaihe Glass Co., Ltd. 2025Xyjslhpysfjd001
6 · The paper itself

Abstract

Physical tempering is widely used to enhance the mechanical strength and thermal stability of glassware. Traditional numerical studies commonly adopt the uniform heat transfer coefficient assumption, which significantly deviates from the actual non-uniform jet cooling conditions, especially for glassware with complex three-dimensional curved surfaces. In this work, a fluid-thermal-structure sequential coupling numerical model for low-borosilicate glassware was developed using STAR-CCM+. The Realizable k-ε turbulence model, temperature-dependent thermophysical properties of glass and air, and transient non-uniform convective heat transfer boundaries were employed. Flow characteristics, heat transfer behavior, and residual stress distribution during air cooling were systematically investigated. The simulation results were verified using a polarizing stress instrument. Results indicate that obvious flow separation and vortices occur at the curved regions, resulting in highly non-uniform heat transfer. Temperature uniformity first decreases and then rebounds, while stress uniformity finally stabilizes above 90%. The through-thickness stress exhibits a parabolic profile with surface compression and internal tension. The maximum relative error between simulation and experiment is below 6%, demonstrating the reasonable engineering accuracy of the sequential coupling framework. Ultimately, these numerical observations quantify the fluid-thermal-structural interactions and underscore the critical importance of integrating realistic non-uniform aerodynamic boundaries.

Indexed as

fluid–thermal–structure couplingglasswareheat transfer uniformitynumerical simulationphysical temperingresidual stress

Identifiers

PMID42451874
PMCPMC13363455

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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.