메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Jun-Seok Nam (Chonbuk National University) Sang-Min Jeong (Chonbuk National University) Min-Gyu Choi (Chonbuk National University) Jun-Ho Seo (Chonbuk National University) Shi-Young Yang (Chonbuk National University)
저널정보
한양대학교 세라믹공정연구센터 Journal of Ceramic Processing Research Journal of Ceramic Processing Research 제22권 제2호
발행연도
2021.1
수록면
169 - 178 (10page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
In this work, in-flight synthesis route of Ga doped ZnO (GZO) nano-powders was investigated experimentally andnumerically, using Radio-Frequency (RF) induction plasmas. For experimental study, mixture of micron-sized ZnO and Ga2O3powders were treated by RF induction plasmas, then, the as-treated powders were retrieved from reactor bottom and filtrationfor characterization. For numerical study, single particle model was combined with two-dimensional simulation code of RFinduction plasma to predict the particle behaviors of ZnO and Ga2O3 depending on their sizes. First, experimental resultsshowed that filtration-retrieved powders were characterized as GZO nano-powders although gallium content can be decreaseddue to Ga2O3 decomposition into sub-oxides at the elevated temperatures. From reactor bottom, however, spherical structuresconsisting of Ga2O3 and ZnO particles were observed in sub-millimeter sizes. Numerical results predicted that micron-sized(≤ 10 μm) ZnO and Ga2O3 particles can vaporize easily during the flight of plasma, while particles with the sizes of 25~100um were simulated to be partially evaporated or unevaporated. Comparing these experimental and numerical results indicatesthat GZO nano-powders can be synthesized from vapor species of ZnO and Ga2O3, which are primarily produced by in-flighttreatment of micron-sized ZnO and Ga2O3 powders in RF induction plasmas.

목차

등록된 정보가 없습니다.

참고문헌 (28)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0