High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation

Research output: Contribution to journalArticlepeer-review

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High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation. / Østergaard, Martin B.; Zhang, Manlin; Shen, Xiaomei; Petersen, Rasmus R.; König, Jakob; Lee, Peter D.; Yue, Yuanzheng; Cai, Biao.

In: Acta Materialia, Vol. 189, 01.05.2020, p. 85-92.

Research output: Contribution to journalArticlepeer-review

Harvard

Østergaard, MB, Zhang, M, Shen, X, Petersen, RR, König, J, Lee, PD, Yue, Y & Cai, B 2020, 'High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation', Acta Materialia, vol. 189, pp. 85-92. https://doi.org/10.1016/j.actamat.2020.02.060

APA

Østergaard, M. B., Zhang, M., Shen, X., Petersen, R. R., König, J., Lee, P. D., Yue, Y., & Cai, B. (2020). High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation. Acta Materialia, 189, 85-92. https://doi.org/10.1016/j.actamat.2020.02.060

Vancouver

Author

Østergaard, Martin B. ; Zhang, Manlin ; Shen, Xiaomei ; Petersen, Rasmus R. ; König, Jakob ; Lee, Peter D. ; Yue, Yuanzheng ; Cai, Biao. / High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation. In: Acta Materialia. 2020 ; Vol. 189. pp. 85-92.

Bibtex

@article{0b0680951671488ab17fe32138610aed,
title = "High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation",
abstract = "Glass foams are attractive thermal insulation materials, thus, the thermal conductivity (λ) is crucial for their insulating performance. Understanding the foaming process is critical for process optimization. Here, we applied high-speed synchrotron X-ray tomography to investigate the change in pore structure during the foaming process, quantifying the foam structures and porosity dynamically. The results can provide guidance for the manufacturing of glass foams. The 3D pore structures were also used to computationally determine λ of glass foams using image-based modelling. We then used the simulated λ to develop a new analytical model to predict the porosity dependence of λ. The λ values of the glass foams when the porosity is within 40% to 95% predicted by the new model are in excellent agreement with the experimental data collected from the literature, with an average error of only 0.7%, which performs better than previously proposed models.",
keywords = "3D image analysis, Glass foam, Porosity, Simulation, Thermal conductivity",
author = "{\O}stergaard, {Martin B.} and Manlin Zhang and Xiaomei Shen and Petersen, {Rasmus R.} and Jakob K{\"o}nig and Lee, {Peter D.} and Yuanzheng Yue and Biao Cai",
year = "2020",
month = may,
day = "1",
doi = "10.1016/j.actamat.2020.02.060",
language = "English",
volume = "189",
pages = "85--92",
journal = "Acta Materialia",
issn = "1359-6454",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - High-speed synchrotron X-ray imaging of glass foaming and thermal conductivity simulation

AU - Østergaard, Martin B.

AU - Zhang, Manlin

AU - Shen, Xiaomei

AU - Petersen, Rasmus R.

AU - König, Jakob

AU - Lee, Peter D.

AU - Yue, Yuanzheng

AU - Cai, Biao

PY - 2020/5/1

Y1 - 2020/5/1

N2 - Glass foams are attractive thermal insulation materials, thus, the thermal conductivity (λ) is crucial for their insulating performance. Understanding the foaming process is critical for process optimization. Here, we applied high-speed synchrotron X-ray tomography to investigate the change in pore structure during the foaming process, quantifying the foam structures and porosity dynamically. The results can provide guidance for the manufacturing of glass foams. The 3D pore structures were also used to computationally determine λ of glass foams using image-based modelling. We then used the simulated λ to develop a new analytical model to predict the porosity dependence of λ. The λ values of the glass foams when the porosity is within 40% to 95% predicted by the new model are in excellent agreement with the experimental data collected from the literature, with an average error of only 0.7%, which performs better than previously proposed models.

AB - Glass foams are attractive thermal insulation materials, thus, the thermal conductivity (λ) is crucial for their insulating performance. Understanding the foaming process is critical for process optimization. Here, we applied high-speed synchrotron X-ray tomography to investigate the change in pore structure during the foaming process, quantifying the foam structures and porosity dynamically. The results can provide guidance for the manufacturing of glass foams. The 3D pore structures were also used to computationally determine λ of glass foams using image-based modelling. We then used the simulated λ to develop a new analytical model to predict the porosity dependence of λ. The λ values of the glass foams when the porosity is within 40% to 95% predicted by the new model are in excellent agreement with the experimental data collected from the literature, with an average error of only 0.7%, which performs better than previously proposed models.

KW - 3D image analysis

KW - Glass foam

KW - Porosity

KW - Simulation

KW - Thermal conductivity

UR - http://www.scopus.com/inward/record.url?scp=85081567692&partnerID=8YFLogxK

U2 - 10.1016/j.actamat.2020.02.060

DO - 10.1016/j.actamat.2020.02.060

M3 - Article

VL - 189

SP - 85

EP - 92

JO - Acta Materialia

JF - Acta Materialia

SN - 1359-6454

ER -