repository
Special Graduate Schools
Graduate School of Science and Technology
Department of Industrial Engineering
3. Theses(Master)
5축 기상측정을 위한 NURBS 곡면 기반의 특징정보 인식 및 측정경로 생성 시스템 개발
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 양정삼 | - |
| dc.contributor.author | 여인웅 | - |
| dc.date.accessioned | 2019-04-01T16:42:04Z | - |
| dc.date.available | 2019-04-01T16:42:04Z | - |
| dc.date.issued | 2019-02 | - |
| dc.identifier.other | 28855 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/15175 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :산업공학과,2019. 2 | - |
| dc.description.tableofcontents | 제1장 서론 1 제2장 이론적 배경 및 관련 논문 3 제3장 특징형상 인식과 측정점 생성 방법 6 제 1 절 프로브의 이동경로 생성 6 제 2 절 NURBS 곡면 상의 측정점 추출 9 제 3 절 실린더 및 콘의 인식과 측정점 생성 11 제 4 절 패드 및 포켓의 인식과 측정점 생성 15 제 5 절 필렛의 인식과 측정점 생성 17 제4장 5축 가공기를 이용한 측정 경로 생성 19 제 1 절 개요 19 제 2 절 측정 경로의 최적화 22 제5장 시스템 개발 및 실험 24 제 1 절 시스템 구성 24 제 2 절 실험 27 제6장 결론 36 참고문헌 37 영문요약(Abstract) 39 | - |
| dc.language.iso | kor | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 5축 기상측정을 위한 NURBS 곡면 기반의 특징정보 인식 및 측정경로 생성 시스템 개발 | - |
| dc.title.alternative | Inwoong Yeo | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Inwoong Yeo | - |
| dc.contributor.department | 일반대학원 산업공학과 | - |
| dc.date.awarded | 2019. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 905233 | - |
| dc.identifier.uci | I804:41038-000000028855 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000028855 | - |
| dc.subject.keyword | on-machine measurement (OMM) | - |
| dc.subject.keyword | feature recognition | - |
| dc.subject.keyword | measurement path | - |
| dc.subject.keyword | measuring point | - |
| dc.subject.keyword | NURBS surface | - |
| dc.description.alternativeAbstract | On-machine measurement (OMM), which is used to measure the machined surfaces of a workpiece during or after the machining of the workpiece, enables direct measurement within the workspace without moving the workpiece. However, although the three-dimensional geometric shape created by computer-aided design systems include various features, because such features are converted into non-uniform rational B-spline (NURBS) surfaces during OMM, measurement deviation occurs between a feature and its corresponding NURBS surface. In this paper, we suggest a method to generate the measurement path for 5-axis OMM in a way that recognizes the features necessary for measurement from NURBS surfaces whose feature data set was removed during the conversion processes. To verify the reliability of the measurement path generation system named OMV+, which was developed using the above method, we carried out an experiment to compare the measurement path that defines the measuring point on the feature and the path that defines the measuring point on the NURBS surface with the measured result using the touch probe on the machined workpiece. | - |
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