Screen printing for support-pillar placement for vacuum glazing and the effects of pillar spacing on strength properties

Kim, Jae‐Kyung; Kim, Young-Shin; Jeon, Euy Sik

doi:10.1007/s12206-018-1112-x

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…Zoller (1913) was the first to propose the concept of vacuum glass, following the principle of Dewar flasks; however, for many years, owing to difficulties such as vacuum degree, boundary sealing, atmospheric pressure, and temperature differences between the two pieces of glass, vacuum glass remained exclusively at the conceptual level. As part of a new generation of environmentally friendly and energy-efficient materials, vacuum glass has excellent properties such as heat insulation, anticondensation and anti-frost, sound insulation, and wind pressure resistance (Kim et al 2018; Sun et al…”

Section: Introductionmentioning

confidence: 99%

Computational System for Prediction of the Vacuum Degree of Vacuum Glass

GASTRO¹

2022

Preprint

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The heat transfer characteristics of vacuum degree and the influence of the vacuum degree of vacuum glass on unit operations for predicting the vacuum degree were investigated. In this study, we designed and developed a set of intelligent detection systems using intelligent algorithms that comprised a model for predicting the vacuum degree of vacuum glass. Using wireless temperature detection in an intelligent detection system was convenient for measuring temperature data. First, the model utilized a backpropagation neural network (BPNN) to predict and infer temperature data. Furthermore, we developed a software package implementing the proposed BPNN-based model in MATLAB and verified that it could predict the vacuum degree of vacuum glass. The proposed system created a precedent for using intelligent algorithms to establish a model to predict the vacuum degree of vacuum glass with additional computer software to improve its convenience for users. Using the core theoretical module of the system, BPNN, and the appropriate intelligent algorithms, we obtained an absolute error within 1.5 Pa using the model and learnt that it was good for quick vacuum prediction.

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Section: Introductionmentioning

confidence: 99%

Computational System for Prediction of the Vacuum Degree of Vacuum Glass

GASTRO¹

2022

Preprint

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Surface stress redistribution and thermal performance of tempered vacuum glazing with printing sintering support pillars

Xi,

Wang,

Shi

et al. 2024

Vacuum

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Slim building envelopes using vacuum glazing and high-performance insulation

Wakili

Stöckli

Rädle

et al. 2019

J. Phys.: Conf. Ser.

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To get a slim building envelope with low thermal transmittance, and hence a low energy consumption, vacuum glazing and high-performance insulation material have been combined. Preliminary investigations both experimental and numerical have been carried out to determine thermal, hygric and mechanical properties of these building components according to either existing standards or to best knowledge procedures. This includes measurement of the center-of-glass U-value, the simulation of the influence of support pillars on the glass surface temperature and comparison of measured and calculated results. Several specimens were measured under different temperature gradients to get more information about accuracy and deviation in the production of the vacuum glazing elements. Further, mechanical stability of larger specimens was tested by the standard pendulum tests for flat glass and compared to identical tests on conventional double-glazing elements of the same size. Finally, a one-dimensional hygro-thermic analysis has been conducted to determine the temperature and moisture distribution within a thin wall construction containing high-performance insulation when submitted to climatic conditions in the Swiss Midlands.

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Screen printing for support-pillar placement for vacuum glazing and the effects of pillar spacing on strength properties

Cited by 4 publications

References 4 publications

Computational System for Prediction of the Vacuum Degree of Vacuum Glass

Computational System for Prediction of the Vacuum Degree of Vacuum Glass

Surface stress redistribution and thermal performance of tempered vacuum glazing with printing sintering support pillars

Slim building envelopes using vacuum glazing and high-performance insulation

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