• 제목/요약/키워드: Cutting automation

검색결과 157건 처리시간 0.022초

ICT Agriculture Support System for Chili Pepper Harvesting

  • Byun, Younghwan;Oh, Sechang;Choi, Min
    • Journal of Information Processing Systems
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    • 제16권3호
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    • pp.629-638
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    • 2020
  • In this paper, an unmanned automation system for harvesting chili peppers through image recognition in the color space is proposed. We developed a cutting-edge technology in terms of convergence between information and communication technology (ICT) and agriculture. Agriculture requires a lot of manpower and entails hard work by the laborers. In this study, we developed an autonomous application that can obtain the head coordinates of a chili pepper using image recognition based on the OpenCV library. As an alternative solution to labor shortages in rural areas, a robot-based chili pepper harvester is proposed as a convergence technology between ICT and agriculture requiring hard labor. Although agriculture is currently a very important industry for human workers, in the future, we expect robots to have the capability of harvesting chili peppers autonomously.

주낙어구의 자동화 -명태주낙어업의 자동화- (Automation of Longline -Automation of the Alaska Pollack Longline-)

  • 고관서;윤갑동;이춘우
    • 한국수산과학회지
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    • 제20권2호
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    • pp.106-113
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    • 1987
  • 명태주낙어업에서 전적으로 수동에 의존하고 있는 투승작업과 장승작업 및 낚시를 정리하는 작업을 자동기계화 시키기 위해서, 유압으로 구동되는 자동미끼는 장치와 자동양승기 및 미끼제거장치와 낚시정리대를 개발하여, 그 작동 성능을 실험실과 해상에서 실험하였고, 또한 자동투승기에서 유압장치 동작특성과 자동양승기의 낚시 분리성능을 측정한 결과는 다음과 같다. 1. 유압 회로의 압력이 높아질수록 미끼를 이송하고 절단하는데 걸리는 시간은 짧아졌으나, 미끼 절단 후 절단날이 정지할때까지 진행되는 각도는 커졌다. 2. 미끼의 이송과 절단에 적절한 유압회로의 압력은 $13\~20kgf/cm^2$이고, 미끼꿰는 효율은 염장한 양미리를 미끼로 했을해 $90\%$정도였다. 3. 자동양승기의 낚시 분리성능은 양승속도나 아릿줄의 재료에 따른 영향은 거의 없었고, 평균 $95.5\%$를 나타내었다. 4. 해상실험에서는 자동투승장치의 내진성이 문제되었으나, 자동양승장치는 실험실에서의 실험과 차이없이 양호하게 작동하였다.

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웨이브렛 변환과 신경망 알고리즘을 이용한 드릴링 버 생성 음향방출 모니터링 (Acoustic Emission Monitoring of Drilling Burr Formation Using Wavelet Transform and an Artificial Neural Network)

  • 이성환;김태은;라광렬
    • 한국정밀공학회지
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    • 제22권4호
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    • pp.37-43
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    • 2005
  • Real time monitoring of exit burr formation is critical in manufacturing automation. In this paper, acoustic emission (AE) was used to detect the burr formation during drilling. By using wavelet transform (WT), AE data were compressed without unnecessary details. Then the transformed data were used as selected features (inputs) of a back-propagation artificial neural net (ANN). In order to validate the in process AE monitoring system, both WT-based ANN and cutting condition (cutting speed, feed, drill diameter, etc.) based ANN outputs were compared with experimental data.

농업기계화 연구에 대한 고찰 (Retrospection on Agricultural Mechanization Researches)

  • 이동현;박원규
    • Journal of Biosystems Engineering
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    • 제24권5호
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    • pp.453-462
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    • 1999
  • At the time of discontinuing the publishing of RDA Journal of Farm management and agricultural engineering the present paper is to review the research results produced since 1962 to 1998. During the three decades, from 1960s to 1980s, the main research efforts were focused o mechanization of rice farming which contributed in food grain productions. In the 1990s, the research direction was shifted to horticultural productions and producing high quality agricultural products. We had put stress on practical use of farm mechanization, mainly on transplanting and seeding operation for rice and upland and horticultural crops productions and harvest and threshing machinery developments, in which we thought our research direction had not been quite right. However, in the future we are going to promote mechanization on livestock and upland crops productions. Furthermore, we have a plan to employ cutting edge technologies in agricultural machinery developments in order to automate and unman all farm operations satisfying the needs of advanced agricultural mechanization technology in the twenty first century.

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Spindle Design Technology for High Speed Machine Tools

  • Lee, Chan-Hong
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 Handout for 2000 Inter. Machine Tool Technical Seminar
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    • pp.109-115
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    • 2000
  • The spindle unit is core parts in high precision machine tools. Diverse static, dynamic and thermal charateristics of spindle unit are needed for special purpose of machine tools. Compromise between those charateristics will be done in concept design phase. High static stiffness at spindle nose may be very important performance for heavy cutting work. High dynamic stiffness is also useful to high precision and high speed machine tools. Improvement of thermal charateristics in spindle lead to high reliability of positioning accuracy. For high speed spindle structure, the design parameter such as, bearing span, diameter, bearing type and arrangement, preload, cooling and lubrication method should be in harmony.

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AE센서와 감지판을 이용한 칩 형태 감지에관한 연구

  • 윤재웅
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1993년도 춘계학술대회 논문집
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    • pp.300-304
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    • 1993
  • Chip formation control is an important problem in the automation of manufacturing process, since the continuous chip can cause catastrophic failures of the tooling and entangle the workpiece causing damage. However, it is impossible to predict chip form correctly due to the complex nature of cutting process. In order to detect the chip form for unmanned manufacturing, a new identification method is proposed. The feasibility of using acoustic emission signals from the sensing plate for identification of chip form is investigated. Experiments were conducted under the various cutting conditions. When the acoustic emission sensor is attached to the sensing plate, it turns out that the moving averaged AE signals correlated well with the collision of segmented chips with the plate. The sensitivity of moving averaged AE signals to chip congestions due to continuous chip formation is illustrated as well.

방사온도계에 의한 칩 형태 인식 (Identification of Chip Form Using Pyrometer)

  • Kweon, H.J.;Paik, I.H.;Sim, J.H.
    • 한국정밀공학회지
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    • 제13권7호
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    • pp.59-65
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    • 1996
  • A major problem in automation of turning operations is the difficulty in obtaining a sufficient and reliable chip control. Therefore it becomes desirable to find a method which can detect the chip form. Newly born chips in usual metal cutting radiate infrared rays. When such chips run out of cutting point quickly, the radiated energy from the zone around the tool is low compared with that of the case when long tangled chips are staying around the tool. The difference in chip pattern can be detected from the output of pyrometer. But, strictly speaking, only the output of pyrometer does not identify the chip form because that is the removal of chip. Therefore, in this paper, a method of the identification of chip form using output of pyrometer and fuzzy inference is developed.

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디버링용 지능 로보트 시스템에 관한 연구 (Intelligent system for robotic deburring)

  • 박경택;최재찬;한장남;이정규;김무용;정병균
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.256-263
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    • 1993
  • The integration of deburring robots into product quality and productivity impact the industrial. In this paper the intelligent system of robotic deburring is proposed integrated with robot system, image processing system, force sensor system and host PC. The size, position, recognition of burr is determined by the information that the image processing system processed. The feed velocity of cutting tool is controlled by the information that the force sensor system processed. The integration of these information can remove the uncertainty of the information of deburring on the cutting path. The result of these technologies is useful for the development of the factory automation and automatic inspection equipments.

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웨이브렛 변환을 이용한 밀링 버 생성 음향방출 모니터링 (Acoustic Emission Monitoring of Milling Burr Formation Using Wavelet Transform)

  • 이성환;마채훈;조용원
    • 한국공작기계학회논문집
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    • 제15권4호
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    • pp.22-28
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    • 2006
  • Detection of exit burr is very important in manufacturing automation. In this paper, acoustic emission(AE) was used to detect the burr formation during milling. By using wavelet transformation, AE data was compressed without unnecessary details. Then the transformed data were used as selected features (inputs) of a back-propagation artificial neural net. In order to validate the proposed scheme, the wavelet based ANN results were compared with cutting condition(cutting speed, feed, depth of cut, etc.) based ANN results.

사상 자동화를 위한 로봇의 Blind Force Control 기술 개발 (A Development of Blind Force Control of Robot for Grind Automation)

  • 이우원;박찬호;임계영
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2006년도 전력전자학술대회 논문집
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    • pp.158-162
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    • 2006
  • A lot of pieces of iron plate are used to build a ship. The states of cutting surface of iron are however bended or ununiformly cuttled by cutting machine. These may cause bad Quality of painting, and shorter lifetime of iron by rust. In this paper, a new approach of grinding force control method which teaching of robot is not required is proposed to avoid long preparation time of robot and to improve the productivity. The way used in this paper is just like a blind man works through the road with stick only.

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