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
저널정보
한국자원공학회 Geosystem Engineering Geosystem Engineering Vol.18 No.3
발행연도
2015.1
수록면
127 - 139 (13page)

이용수

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

초록· 키워드

오류제보하기
This recent study reports an investigation on the effectiveness of the cutting performance models applied to the Surface Miner Wirtgen 2200-SM operation in a limestone quarry, Palimanan, Cirebon, Indonesia. The cutting models applied in this investigation are those proposed by [Gehring, K. H. 1989. Bestimmung von Schneidleistung und Meibelverbauch. Working paper of the Voest Alpine Ges.m.b.H.Zeltweg, Austria and Gehring, K. H. 1992. Evaluation of cutting performance for Voest Alpine Surface Miner (Voest Alpine Internal Report BBV, 1992-08-04)], [Kramadibrata, S. 1996. The influence of rock mass and intact rock properties on the design of surface mines with particular reference to the excavatability of rock (PhD thesis), Curtin University of Technology School of Civil Engineering] and [Dey, K., & Ghose, A. K. (2008). Predicting “cuttability” with surface miners – A rockmass classification approach. Journal of Mines, Metals and Fuels, 56]. The prediction results from Gehring's model are always found higher than that of data observed, with deviation ranges from 0 to 30%. The prediction results from Kramadibrata's model are always found lower than that of data observed, with deviation ranges from − 2% to − 23%. The prediction result from Dey & Ghose for each block in Palimanan varies from lower to higher than that of data observed, with deviation ranges from − 9% to 21%. The recent study indicates that Gehring and Kramadibrata models reveal the same trend for all blocks. The application of Dey & Ghose model requires quite accurate measured parameters.

목차

등록된 정보가 없습니다.

참고문헌 (31)

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