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버의 최소화를 위한 밀링 가공 파라미터의 최적화

Title
버의 최소화를 위한 밀링 가공 파라미터의 최적화
Other Titles
Optimization of Cutting Parameters for Burr Minimization
Author
이성환
Keywords
Burr; Face milling; Optimization; Cutting parameter; Taguchi method; Orthogonal Array; ANOVA; 버; 정면 밀링; 최적화; 가공파라미터; 다구찌 방법; 직교 배열; 분산분석
Issue Date
2001-09
Publisher
한국정밀공학회
Citation
한국정밀공학회지, v. 18, no. 12, page. 130-136
Abstract
Burrs formed during face milling operations are very hard to characterize because there are many parameters that affect the cutting process. Many researchers have tried to predict burr characteristics including burr size and shapes with various experimental conditions such as cutting speed, feed rate, in-plane exit angle, number of inserts, etc., but it still remains as a challenging problem for the complex combined effects between the parameters. In this paper, the Taguchi method, which is a systematic optimization application in design and analysis of experiments, is introduced to acquire optimum cutting parameters for burr minimization in face milling. Also, analysis of variance (AVOVA) is employed to study the performance characteristics in more detail. Experimental verifications are provided to show the effectiveness of this approach.
URI
https://www.koreascience.or.kr/article/JAKO200111920888845.pagehttps://repository.hanyang.ac.kr/handle/20.500.11754/160141
ISSN
1225-9071; 2287-8769
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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