Skip to main navigation Skip to main content
  • KIEEME

J Electr Electron Mater : Journal of Electrical and Electronic Materials

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Articles

빅데이터 구축을 위한 알루미나 테이프 캐스팅 공정 최적화

김동하, 김시연, 이주성, 여동훈, 신효순, 윤상옥

Optimization of Alumina Tape Casting Process for Building Big Data

Dong Ha Kim, Shi Yeon Kim, Joo Sung Lee, Dong-hun Yeo, Hyo-soon Shin, Sang-ok Yoon
J Electr Electron Mater 2019;32(6):483-489.
Published online: November 1, 2019
  • 6 Views
  • 0 Download
  • 0 Crossref
  • 0 Scopus
prev next

For machine learning techniques, a large amount of high-quality material property data should be accumulated. In this study, several data for an alumina tape casting process were produced with the variables of slurry viscosity, gap size, and coating speed. The alumina tapes were manufactured in the range of 1,000~6,000 cps for slurry viscosity, 300~1,000 ㎛ for gap size, and 0.5~2.0 m/min for coating speed. As a result, the lower the viscosity, coating speed, and gap size, the more pore-free tapes could be manufactured. The viscosity of the slurry limited the minimum thickness of the tape. Green sheets with high packing density were manufactured from the slurry of 100~6,000 cps slurry viscosity, coating speed of 0.5 m/min, and a 300~500 ㎛ gap size.

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Optimization of Alumina Tape Casting Process for Building Big Data
J Electr Electron Mater. 2019;32(6):483-489.   Published online November 1, 2019
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Optimization of Alumina Tape Casting Process for Building Big Data
J Electr Electron Mater. 2019;32(6):483-489.   Published online November 1, 2019
Close