• 대한지리학회지
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• 제46권6호
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• pp.673-692
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• 2011

컴퓨터 기술의 발전으로 인해 근래 들어 수치지형발달모형을 개발하고 이를 이용하여 다양한 관점에서 지형발달과정의 역동성을 파악하기 위한 시도들이 활발하게 행해졌다. 하지만 국내에서는 수치지형발달모형을 활용하거나 개발하는 시도가 거의 없었다. 이에 본 연구에서는 2차원상에서 지질시간 규모의 지형발달을 모의하는 수치지형발달모형을 개발하고 이의 유용성을 확인해 보았다. 개발된 모형은 지표 구성물질을 기반암과 이동 가능한 토양으로 구분하고 토양층의 두께를 모의하기 위해 기반암 풍화를 포함한다. 이를 통해 사면에서는 운반제어환경뿐만이 아니라 풍화제어환경도 모의 가능하다. 또한 토양포행과 같은 사면에서의 점진적인 물질이동과는 별개로 활동(landslide) 역시 주요한 지형형성작용으로 포함한다. 그리고 하천 운반력이 하상물질의 양보다 큰 곳에서는 기반암 하상 침식이 발생하여 분리제어환경도 모의한다. 한편 무한 유향 알고리듬을 이용하여 흐름을 분배하기 때문에 최대하부 경사 유향 알고리듬을 이용할 때 나타나는 흐름 분배상의 문제점을 줄일 수 있다. 개발된 모형을 이용한 모의실험 결과, 본 모형은 지질시간 규모의 지형발달과정을 비교적 합리적으로 모의하였다.

• 대한기계학회논문집A
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• 제26권8호
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• pp.1480-1486
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• 2002

In this study, the cross-coupling control (CCC) with three new features is proposed to maintain contour precision in high-speed nonlinear contour machining. One is an improved contour error model that provides almost exact calculation of the errors. Another is the utilization of variable controller gains based on the instantaneous curvature of the contour and the variable command. For this scheme, a stability is analyzed. As a result, the stability region is obtained, and the variable gains are decided within that region. The other scheme in the proposed CCC is a real-time feedrate adaptation module to regulate cutting force fur better surface finish through regulation of material removal rate (MRR). The simulation results show that the proposed CCC system can provide better precision than the existing method particularly in high-speed machining of nonlinear contours.

• 대한기계학회논문집A
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• 제28권1호
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• pp.40-47
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• 2004

This paper proposes a three-axis coupling controller designed to improve the contouring accuracy in machining of 3D nonlinear contours. The proposed coupling controller is based on an innovative 3D contour error model and a PID control law. The novel contour error model provides almost exact calculation of contour errors in real-time for arbitrary contours and can be integrated with any type of existing interpolator. In the proposed method, three axes of motion are coordinated by the proposed coupling controller along with a proportional controller for each axis. The proposed contour error model and coupling controller are evaluated through computer simulations. The simulation results show that the proposed 3-axis coupling controller with the new contour error model substantially can improve the contouring accuracy by order of magnitude compared with the existing uncoupled controllers in high-speed machining of nonlinear contours.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집A
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• pp.446-451
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• 2000

In this paper, a new adaptive cross-coupling control (CCC) algorithm with an improved contour error model is proposed to maintain contouring precision in high-speed nonlinear contour machining. The proposed method utilizes variable controller gains based on the instantaneous curvature of a contour and the feedrate command. The proposed method is evaluated and compared with the conventional CCC for nonlinear contouring motion through computer simulations. The simulation results show that the proposed CCC improves the contouring accuracy more effectively than the existing method.

• 한국정밀공학회지
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• 제26권4호
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• pp.16-22
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• 2009

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 추계학술대회논문집 - 한국공작기계학회
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• pp.8-13
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• 2000

In this paper, a new adaptive cross-coupling control (CCC) method with an improved contour error model is proposed to maintain contouring precision in high-speed nonlinear contour machining. The proposed method utilizes variable controller gains based on the instantaneous curvature of a contour and the feedrate command. In addition, a real-time federate adaptation scheme is included in the proposed CCC to regulate cutting force. The proposed method is evaluated and compared with the conventional CCC for nonlinear contouring motion through computer simulations. The simulation results show that the proposed CCC improves the contouring accuracy and regulates cutting force more effectively than the existing method.

• 한국정밀공학회지
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• 제15권10호
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• pp.180-192
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• 1998

This paper introduces a new self-organizing fuzzy logic controller (SOFLC) for precision contour machining in the presence of large disturbances which adjusts both input and output membership functions simultaneously. The parameters of the proposed controller are self-tuned in real-time according to a continuous measurement of the performance of the controller itself and estimated disturbance values. The proposed controller as well as a conventional fuzzy logic controller and a PID controller were simulated and implemented on a 3-axis milling machine in contour milling. Both the simulations and experiments show that the self-organizing fuzzy logic controller has superior performance in terms of contour tracking accuracy compared with the other two controllers.

• 대한전자공학회논문지
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• 제22권3호
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• pp.77-83
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• 1985

본 논문에서는 시스템 파라미터가 불확실한 일련의 연속시간 대규모 선청 시스템을 안정화하는 문제가 다루어졌다. 제안된 비집중 적응 제어기는 새로운 적웅궤환 제어와 기존의 선형궤환 제어를 결합한 형태로서, 전체 케루프 시스템의 안정을 보장하기 위한 충분조건이 유도되었다. 또, 제안된 방식의 유용성을 보이기 위하여 컴퓨터 모사를 통한 수치예가 제시 되었다.

• 한국정밀공학회지
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• 제17권11호
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• pp.108-114
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• 2000

In this paper, a new adaptive cross-coupling control(CCC) method with an improved contour error model is proposed to maintain contouring precision in high-speed nonlinear contour machining. The proposed method utilizes variable controller gains based on the instantaneous curvature of a contour and the feedrate command. The proposed method is evaluated and compared with the conventional CCC for nonlinear contouring motion through computer simulations. The simulation results show that the proposed CCC improves the contouring accuracy more effectively than the existing method.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.620-623
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• 2002

Spinning has been used widely for the manufacture of hollow parts with rotational symmetry. With developing CNC machine, CNC machine center can be applied to the spinning processes. In this paper, a study on the development of CNC spinning technology without mandrel is carried out. The deforming process of the spinning process was simulated by DEFORM 3D to give basic design data.