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열가소성 성형을 이용한 비정질 합금의 홀로그램 임프린팅 공정 최적화Optimization of Holographic Imprinting Process for Metallic Glass using Thermoplastic Forming

Other Titles
Optimization of Holographic Imprinting Process for Metallic Glass using Thermoplastic Forming
Authors
류욱하류채우김경준곽민경박은수
Issue Date
1-Sep-2022
Publisher
대한금속·재료학회
Keywords
metallic glass; thermoplastic forming; hologram imprinting; flash-DSC; thermoplastic forming window.
Citation
대한금속·재료학회지, v.60, no.9, pp 644 - 653
Pages
10
Journal Title
대한금속·재료학회지
Volume
60
Number
9
Start Page
644
End Page
653
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32961
DOI
10.3365/KJMM.2022.60.9.644
ISSN
1738-8228
2288-8241
Abstract
The thermoplastic forming (TPF) process of metallic glass (MG) is a unique and powerful method that cannot be performed using conventional crystalline alloys. Because the mechanical and thermal properties of MGs are more favorable with smaller sample sizes, TPF is particularly useful for microscale and nanoscale part molding and micro-patterning. One of the promising commercial MG applications that can take full advantage of these characteristics is hologram patterning. Holograms can be used to identify unique brands, using characteristics with patterns that are difficult to replicate. Their excellent aesthetic qualities can also greatly contribute to increased product value. In this study, we developed and performed a TPF process for actual holographic imprinting with Mg-based MGs, and further investigated the TPF processing window, covering a wide range of temperature and process time conditions through thermal analysis, with ultra-fast heating rates ranging from 100 to 25000 K/s using Flash-DSC. The results of this study serve as a practical guide for identifying the full range of TPF processing windows including conventional and ultrafast heating conditions for micro-scale and nanoscale molding of various MGs. Moreover, a methodology is proposed to identify the general TPF processing window (η<108 Pa·s) and the ideal TPF processing window (η<104 Pa·s) by estimating the viscosity (η) of the supercooled liquid. Accordingly, this study is expected to be utilized to optimize the TPF process of MGs and promote the commercialization of related industries.
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