• 제목/요약/키워드: Electric discharge machine

검색결과 77건 처리시간 0.024초

엔트로피 지수를 이용한 기계학습 기반의 배터리의 건강 상태 예측 알고리즘 (Machine Learning Based State of Health Prediction Algorithm for Batteries Using Entropy Index)

  • 김상진;임현근;장병훈;우성민
    • 전기전자학회논문지
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    • 제26권4호
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    • pp.531-536
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    • 2022
  • 배터리를 효율적으로 관리하기 위해서는 배터리의 건강 상태와 잔여 수명을 정확하게 추정하고 관리하는 것이 중요하다. 배터리는 같은 종류여도 설비용량 및 전압 등의 특성이 다르며 학습용 모델을 위한 배터리와 모델을 통한 예측을 위한 배터리가 서로 다를 경우에는 정확도 측정에 한계가 있다. 본 논문에서는 전압의 분포와 방전 시간을 이용한 엔트로피 지수를 일반화하고 4개의 배터리를 각각 1개씩 교차적으로 훈련 집합과 테스트 집합으로 정의하여 기계학습의 선형회귀 분석을 통하여 배터리의 건강 상태를 예측하는 방법을 제안하였다. 제안된 방법은 평균 절대값 퍼센트 오차를 이용하여 95% 이상의 높은 정확도를 나타내었다.

운전중인 고압전동기에서 절연열화 분석 (Analysis of Insulation Aging in Operating High Voltage Motors)

  • 김희동;주영호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 C
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    • pp.2175-2178
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    • 2005
  • During normal machine operation, partial discharge(PD) measurements were performed with turbine generator analyzer(TGA) in five high voltage motors(rated 6.6kV). These high voltage motors were installed with 80pF capacitive couplers at the terminal box. The PD patterns were displayed two dimensional and three dimensional. TGA summarizes each plot with two quantities such as the normalized quantity number(NQN) and the peak PD magnitude(Qm). Off-line PD measurements were conducted on five motors. These motors were energized to 3.81kV. The PD levels in pC were measured with a conventional digital PD detector. The comparison of positive to negative PD indicates whether the defect elements of PD are within the insulation or on the insulation surface. Internal discharges were generated in phase A, B and C of COP-B and pulv.-B, in phase B of Pulv. C and in phase C of Pulv.-D motor. Discharge at conductor surface was discovered in phase A of Pulv. D motor. Slot discharges occurred in three phases of Pulv. E motor.

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He-Ne 레이저를 이용한 와이어 방전가공기의 와이어 변위 측정 (Measurement of Wire Displacement of WEDM using He-Ne laser)

  • 홍준모;전병철;조용무;유웅재;김재도
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.414-419
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    • 1995
  • The wire displacement of wire electric discharge machine has been measured using He-Ne laser. A measurement system consisted of He-Ne laser, A/D converter, 4 divided photodiode, amplifier, sensor process instrument, and personal computer. The processing parameters were varid with feed rate, wire tension, wire speed and voltage. The laser beam intensity transmitted on a 4 divided photodiode was varied by processing wire electric descharge machine with various process parameters. The 4 divided photodiode and amplifier were used to change the detected beam intensity into voltage. Variation of wire displacement was between 11 and 125 .mu. m. The wire tension was dominant on the variation of wire displacement among many parameters.

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방전 가공기용 복합재료 외팔보의 제작 및 성능평가 (Manufacture and performance test of the composite cantilever arm for electrical discharge wire cutting machine)

  • 최진호
    • Composites Research
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    • 제13권6호
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    • pp.39-46
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    • 2000
  • 방전가공은 공구와 공작물 사이의 얇은 간극에 전류를 방전시켜 금속을 가공하는 방법이다. 방전 와이어 가공은 전도성 와이어를 사용하는 방전가공의 특수한 예로서, 펀치나 금형제조에 널리 이용되고 있다. 와이어 방전가공에서 와이어는 와이어 가이드 및 외팔보로서 지지되어 있다. 최근 생산성의 증가추세와 더불어 와이어의 이송속도가 증가함에 따라 외팔보의 진동 등으로 인한 기계 정밀도의 저하가 우려된다. 본 논문에서는 정, 동특성이 우수한 방전가공기용 복합재료 외팔보를 설계, 제작하였다. 끼워맞춤길이와 보강 적층수의 변화에 따른 정, 동특성의 변화를 살펴보기 위하여 시편을 제작하여 하중실험을 수행하였다. 또한 유한요소 해석을 수행하여 하중실험의 결과와 상호 비교하였다. 시편실험의 결과로부터 방전가공기용 복합재료 외팔보를 설계, 제작하여 기존의 금속 외팔보와 그 성능을 상호 비교하였다.

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고압전동기 고정자 권선의 운전중 부분방전 패턴 분석 (Analysis of On-Line Partial Discharge Patterns in High Voltage Motor Stator Windings)

  • 김희동;주영호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 C
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    • pp.1824-1827
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    • 2003
  • During normal machine operation, partial discharge(PD) measurements were performed with turbine generator analyzer(TGA) in two high voltage motors. Two 6.6kV motors were installed with 80pF capacitive couplers at the terminal box. The PD patterns were displayed two dimensional and three dimensional. TGA summarizes each plot with two quantifies such as the normalized quantity number(NQN) and the peak PD magnitude(Qm). Off-line PD measurements were conducted on one 4.16kV motor. The motor was energized to 2.4kV, 3.0kV, 3.5kV and 4.16kV, respectively. The PD levels in pC were measured with a conventional digital PD detector. The comparison of positive to negative PD indicates whether the defect elements of PD are within the insulation or on the insulation surface. Discharge at conductor surface was discovered in No. 1 motor. Internal discharges were generated in phase A, B and C of No. 2 motor, Slot discharges occurred in three phases of No. 3 motor.

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Taguchi법에 의한 방전가공의 공정변수 최적화 (Optimization of Process Parameters for EDM using Taguchi Design)

  • 최만성
    • 반도체디스플레이기술학회지
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    • 제14권4호
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    • pp.78-83
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    • 2015
  • The method of electrical discharge machining (EDM), one of the processing methods based on non-traditional manufacturing procedures, is gaining increased popularity, since it does not require cutting tools and allows machining involving hard, brittle, thin and complex geometry. Modern ED machinery is capable of machining geometrically complex or hard material components, that are precise and difficult-to-machine such as heat treated tool steels, composites, super alloys, ceramics, etc. This paper reports the results of an experimental investigation by Taguchi method carried out to study the effects of machining parameters on material surface roughness in electric discharge machining of SM45C. The work material was ED machined with graphite and copper electrodes by varying the pulsed current, voltage and pulse time. Investigations indicate that the surface roughness is strongly depend on pulsed current.

SCM440강의 방전가공에서 공정변수의 최적화 (Optimizing the Process Parameters of EDM on SCM440 Steel)

  • 최만성
    • 반도체디스플레이기술학회지
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    • 제17권2호
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    • pp.61-66
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    • 2018
  • The objective of this research study is to investigate the optimal process parameters of electrical discharge machining (EDM) on SCM440 steel with copper as a tool electrode. The effect of various process parameters on machining performance is investigated in this study. Modern ED machinery is capable of machining geometrically complex or hard material components, that are precise and difficult-to-machine such as heat treated tool steels, composites, super alloys, ceramics, etc. This paper reports the results of an experimental investigation by Taguchi method carried out to study the effects of machining parameters on material surface roughness in electric discharge machining of SCM440 steel. To predict the optimal condition, the experiments are conducted by using Taguchi's L27 orthogonal array. The work material was ED machined with copper electrodes by varying the pulsed current, pulse on-time, voltage, servo speed and spark speed. Investigations indicate that the surface roughness is strongly depend on pulsed current.

황동과 금형강의 와이어 컷 방전가공을 통한 가공특성 평가 (Evaluation of Machining Characteristics through Wire-Cut EDM of Brass and SKD 11)

  • 김정석
    • 한국생산제조학회지
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    • 제6권4호
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    • pp.130-137
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    • 1997
  • The demand for wire-cut EDM is increasing rapidly in the die and tool making industry. In this study machining characteristics such as machining rate, surface roughness, hand drum form and hardness of machined material are investigated experimentally under the conditions varing pulse on time, pulse off time, peak voltage, wire tension after fixing other conditions in SKD 11 and brass and brass workpiece. It was found that various operating conditions had significant influences on machining characteristics. But the hardness of workpiece was uneffected by operating conditions. Also it was obtained experimentally that brass workpeice had better machinability than SKD 11 one.dition according to the current(Ip) in an electric spark machine : 1) Electrode is utilized Cu and Graphite. 2) Work piece is used the material of carbon steel. The condition of experiment is : 1) Current is varied 0.7(A) to 50(A) and the time of electric discharging to work piece in each time is 30(min) to 60(min). 2) After the upper side of work piece was measured in radius(5$\mu$m) of stylus analyzed the surface roughness to ade the table and graph of Rmax by yielding data. 3) Electro wear ratio is : \circled1Cooper was measured ex-machining and post-machining by the electronic balance. \circled2The ex-machining of graphite measured by it, the post-machining was found the data from volume $\times$specific gravity and analyzed to made its table and graph on ground the data. 4) In order to keep the accuracy of voltage affected to the work piece was equipped with the A.V. R and the memory scope was sticked to the electric spark machine. 5) In order to preserve the precision of current, to get rid of the noise occured by internal resistance of electric spark machine and to force injecting for the discharge fluid , it made the fixed table for a work piece to minimize the work error by means of one's failure during the electric discharging.

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알루미늄 합금 2024의 와이어 컷 방전가공에서 방전 에너지가 표면 거칠기에 미치는 영향 (The effect of Surface Roughness on Wire-cut Electric Discharge Machining of Discharge Energy in Aluminium Alloy 2024)

  • 류청원;최성대;이순관
    • 한국생산제조학회지
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    • 제20권6호
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    • pp.714-719
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    • 2011
  • The surface roughness depending on the machining method is very important because is produce a finished product through riveting, sealing, bonding, and special paint in order to curb the turbulence and air resistance which occur between the sheets. Aluminum alloy 2024 which is widely used for interior and exterior material of aircraft are tested. Jin-young JW-60C wire cutting machine was used in this experiment. In this paper, the experimental investigation has been performed to find out the influence of the surface roughness and surface shape characteristics on the wire-cut EDM of discharge energy in aluminium alloy 2024. The selected experimental parameters are peak current, no-load voltage, off time and feed rate. The experimental results give the guideline for selecting reasonable machining parameters. The high discharge energy on the idle time, almost no change in surface roughness can be seen.

객체 탐지 모델을 활용한 전기 아크 위험성 예측 시스템 개발 (Development of Prediction of Electric Arc Risk using Object Dection Model)

  • 이규빈;김승연;안동혁
    • 스마트미디어저널
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    • 제9권1호
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    • pp.38-44
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    • 2020
  • 전기에너지에 대한 높은 의존도 때문에 국내에서 발생하는 화재 중 전기화재가 상당한 비중을 차지한다. 국내에서 발생하는 전기화재 4건 중 3건이 전선의 단락이나 접촉 불량에 의한 전기 아크에 의해 발생했다. 전기 아크란 절연체 사이에서 발생하는 전기적 전류의 방전 현상으로 순간적으로 상당한 열을 내뿜는다. 아크에 의한 전기 화재를 줄이기 위해서 본 연구에서는 전기 아크 위험성 예측을 목표로 한다. 아크 감지기에서 아크 데이터를 수집하고 시간순대로의 아크 데이터를 기반으로 그래프로 변환하였다. 머신 러닝의 데이터 학습에 서로 다른 시계열 데이터의 수로 변환한 그래프들을 사용하였다. 생성된 학습 모델의 성능을 측정하기 위해서 테스트 데이터를 기반으로 평가를 진행하였다. 결과에서 예측 시 사용하는 시계열 아크 데이터의 수가 20개일 때 예측률이 86%로 우수함을 확인하였다.