• 제목/요약/키워드: rough interpolation

검색결과 13건 처리시간 0.022초

일반적인 내벽을 가진 자유바닥 곡면 파켓의 NC 가공을 위한 단일화된 황삭과 정삭 알고리즘 - Part 2. Experiment (An unified rough and finish cut algorithm for NC machining of free form pockets with general polygon - Part 2. Experiment)

  • 최용훈;김상진
    • 한국산업정보학회논문지
    • /
    • 제12권1호
    • /
    • pp.46-53
    • /
    • 2007
  • 3축 CNC 공작기계상에서 자유형상의 벽을 가진 자유곡면을 가공할 때 최종 NC (Numerical Control) 코드를 만들기 위한 공구 경로는 효율적으로 결정 되어져야 한다. 단일화된 황삭과 정삭 알고리즘 및 공구경로가 이미 그래픽으로 Part 1에서 시뮬레이션 되었다. 본 연구에서는 Part 1에서 보여진 시뮬레이션 결과를 3축 CNC 공작기계를 이용하여 자유곡면 바닥을 가진 일반적인 파켓 밀링을 위한 직선 보간 및 직선+아크를 혼합한 보간을 위한 NC 공구경로 데이터로 만들어서 3D 격자 항행 알고리즘을 실험하였고 그 효용성을 증명하였다.

  • PDF

개방형 수치제어 장치를 위한 범용 NURBS 보간기 (An universal NURBS interpolator for an architectured CNC controller)

  • 강성균
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
    • /
    • pp.656-659
    • /
    • 1996
  • An universal NURBS interpolation for an open architectured CNC controller is proposed in order to unify internal data structure and algorithm of different interpolations such as linear, circular and spline, and to intelligently interface CAD database of the various workpiece contour. Furthermore, NURBS interpolation may result in better surface roughness and high speed machining due to the continuous generation of cutter movement. The mathematical manipulation of NURBS is presented and the practical implementation on the CNC controller of a lathe is discussed for real machining. The comparison between a computer design and workpieces machined on a lathe shows the feasibility of the NURBS interpolation format as an universal interpolation scheme.

  • PDF

일반적인 내벽을 가진 자유바닥 곡면 파켓의 NC 가공을 위한 단일화된 황삭과 정삭 알고리즘 - Part 1. Simulation (A unified rough and finish cut algorithm for NC machining of free form pockets with general polygon - Part 1. Simulation)

  • Park, Yong-hoon;Cho, Chi-woon;Kim, Sang-jin
    • 한국산업정보학회논문지
    • /
    • 제9권1호
    • /
    • pp.7-16
    • /
    • 2004
  • 효율적인 최종 NC코드를 만들어내기 위해서 공구경로는 효과적인 방법으로 결정되어 져야한다. 이는 3축 CNC 공작기계상에서 자유형상의 벽을 가진 자유곡면을 가공할 때 특히 중요하다. 많은 CAD/CAM 시스템들은 자유곡면가공을 위한 NC코드 생성 시 직선 보간을 이용한다. 그러나 이 방법은 가공된 바닥 표면의 매끄러움과 가공시간, 그리고 CL파일 사이즈를 줄이기 위해서 보정되어야 한다. 곡선 가공이 이러한 문제들을 줄이기 위한 해결책이 될 수 있다. 단일화된 황삭과 정삭 알고리즘과 공구경로가 그래픽으로 시뮬레이션 되었다. 본 연구에서는 자유곡면 바닥을 가진 파켓을 3축 CNC 공작기계를 이용하여 일반적인 파켓 밀링을 위한 직선 보간과 직선+아크를 혼합한 보간을 위한 NC 공구경로 데이터를 만들기 위한 3D 격자 항행 알고리즘을 개발하였다.

  • PDF

온라인 방식의 공구경로 계획을 내장한 지능형 NURBS 곡면 보간 시스템 (Intelligent NURBS Surface Interpolation System with Embedded Online Tool-Path Planning)

  • 구태훈;지성철
    • 한국정밀공학회지
    • /
    • 제23권9호
    • /
    • pp.156-163
    • /
    • 2006
  • The purpose of this study is to improve the machining of free-formed NURBS surfaces using newly defined G-codes which can directly deal with shapes defined from CAD/CAM programs on a surface basis and specialize in rough and finish cut. To this purpose, a NURBS surface interpolation system is proposed in this paper. The proposed interpolation system includes online tool-path planning, real-time interpolation and feedrate regulation considering an effective machining method and minimum machining time all suitable for unit NURBS surface machining. The corresponding algorithms are simultaneously executed in an online manner. The proposed NURBS surface interpolation system is integrated and implemented with a PC-based 3-axis CNC milling system. A graphic user interface (GUI) and a 3D tool-path viewer which interprets the G-codes for NURBS surfaces and displays whole tool-paths are also developed and included in our real-time control system. The proposed system is evaluated through actual machining in terms of size of NC data, machining time, regulation of feedrate and cutting force focused on finish cut in comparison with the existing method.

Smart Control System Using Fuzzy and Neural Network Prediction System

  • Kim, Tae Yeun;Bae, Sang Hyun
    • 통합자연과학논문집
    • /
    • 제12권4호
    • /
    • pp.105-115
    • /
    • 2019
  • In this paper, a prediction system is proposed to control the brightness of smart street lamps by predicting the moving path through the reduction of consumption power and information of pedestrian's past moving direction while meeting the function of existing smart street lamps. The brightness of smart street lamps is adjusted by utilizing the walk tracking vector and soft hand-off characteristics obtained through the motion sensing sensor of smart street lamps. In addition, the motion vector is used to analyze and predict the pedestrian path, and the GPU is used for high-speed computation. Pedestrians were detected using adaptive Gaussian mixing, weighted difference imaging, and motion vectors, and motions of pedestrians were analyzed using the extracted motion vectors. The preprocessing process using linear interpolation is performed to improve the performance of the proposed prediction system. Fuzzy prediction system and neural network prediction system are designed in parallel to improve efficiency and rough set is used for error correction.

신경망과 퍼지시스템을 이용한 일별 최대전력부하 예측 (Daily Peak Electric Load Forecasting Using Neural Network and Fuzzy System)

  • 방영근;김재현;이철희
    • 전기학회논문지
    • /
    • 제67권1호
    • /
    • pp.96-102
    • /
    • 2018
  • For efficient operating strategy of electric power system, forecasting of daily peak electric load is an important but difficult problem. Therefore a daily peak electric load forecasting system using a neural network and fuzzy system is presented in this paper. First, original peak load data is interpolated in order to overcome the shortage of data for effective prediction. Next, the prediction of peak load using these interpolated data as input is performed in parallel by a neural network predictor and a fuzzy predictor. The neural network predictor shows better performance at drastic change of peak load, while the fuzzy predictor yields better prediction results in gradual changes. Finally, the superior one of two predictors is selected by the rules based on rough sets at every prediction time. To verify the effectiveness of the proposed method, the computer simulation is performed on peak load data in 2015 provided by KPX.

슬라이딩 모드 제어기를 응용한 선삭공정 절삭력 제어 (Cutting Force Regulation in Turning Using Sliding Mode Control)

  • 박영빈;김종원
    • 한국정밀공학회:학술대회논문집
    • /
    • 한국정밀공학회 1996년도 추계학술대회 논문집
    • /
    • pp.605-609
    • /
    • 1996
  • Continuous sliding mode control is applied to turning process for cutting force regulation. The highest feedrate compatible with the allowable cutting force is applied in rough cutting process such that maximum productivity is ensured and tool breakage is avoided. The programmed feedrate is overridden after the control algorithm is carried out. However, most CNC lathe manufacturers offer limited number of data bits far feedrate override, thus resulting in nonlinear behavior of the machine tools. Such nonlinearity brings “quantized” effect, and the optimal faedrate is rounded off before being fed into the CNC system. To compensate for this problem, continuous sliding mode control is applied. Conventional switching control law at a sliding surface is replaced by a smooth control interpolation in a selected boundary layer to avoid the excitation of high-frequency dynamics. Simulation results are presented in comparison with those obtained by applying adaptive control.

  • PDF

Design of Path Prediction Smart Street Lighting System on the Internet of Things

  • Kim, Tae Yeun;Park, Nam Hong
    • 통합자연과학논문집
    • /
    • 제12권1호
    • /
    • pp.14-19
    • /
    • 2019
  • In this paper, we propose a system for controlling the brightness of street lights by predicting pedestrian paths, identifying the position of pedestrians with motion sensing sensors and obtaining motion vectors based on past walking directions, then predicting pedestrian paths through the route prediction smart street lighting system. In addition, by using motion vector data, the pre-treatment process using linear interpolation method and the fuzzy system and neural network system were designed in parallel structure to increase efficiency and the rough set was used to correct errors. It is expected that the system proposed in this paper will be effective in securing the safety of pedestrians and reducing light pollution and energy by predicting the path of pedestrians in the detection of movement of pedestrians and in conjunction with smart street lightings.

천이류에서의 관마찰 (Pipe Friction in Transition Flow)

  • 유동훈
    • 대한토목학회논문집
    • /
    • 제13권4호
    • /
    • pp.101-109
    • /
    • 1993
  • 관로흐름은 관벽과의 마찰 정도에 따라 층류와 난류, 난류인 경우 관벽은 매끄러운관 또는 완난류(緩亂流)(smooth turbulent flow) 조건과 거칠은 관 또는 전난류(全亂流)(rough turbulent flow) 조건으로 뚜렷이 대별할 수 있으며 층류와 완난류의 변이부에 해당하는 층류-완난류 천이조건 즉 천이층류(遷移層流)와 완난류-전난류 변이부 즉 천이난류(遷移亂流) 등 모두 다섯 개의 조건으로 구분지어 해석할 수 있다. 층류, 완난류 및 전난류 조건에서의 마찰계수 산정에는 기존 Prandt1의 이론식에 상당한 신뢰를 두고 있으나 천이난류에서의 마찰계수산정에 쓰고 있는 Colebrook-white 조합식은 이의 정도에 많은 의문점을 두어 왔다. 본 연구에서는 Nikuradse의 실험결과를 재 분석하여 천이난류조건에서의 유속분포식을 구하였으며, 이에 근거하여 관로에서 천이난류조건에 대한 마찰계수 산정식을 개발하였다. 천이층류에 대하여는 마찰계수를 내삽법으로 구할 것을 제의한다.

  • PDF

Edge-preserving demosaicing method for digital cameras with Bayer-like W-RGB color filter array

  • Park, Jongjoo;Chong, Jongwha
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제8권3호
    • /
    • pp.1011-1025
    • /
    • 2014
  • A demosaicing method for a Bayer-like W-RGB color filter array (CFA) is proposed. When reproducing images from a W-RGB CFA, conventional color separation methods for W-RGB CFA are likely to cause blurring near the edges due to rough averaging using a color ratio of neighboring pixels. Moreover, these methods cannot be applied to real-life digital cameras with W-RGB CFA because the methods were proposed under an ideal situation, W=R+G+B, not a real-life situation, $W{\neq}R+G+B$. To improve edge performance, we propose a method of constant color difference assumption with inversed weight, which uses information from all edge directions for interpolating all missing color channels. The proposed method calculates the correlation between W, R, G, and B to enable its application to real-life digital cameras with W-RGB CFA. Simulations were performed to evaluate the proposed method using images captured from a real-life digital camera with W-RGB CFA. Simulation results shows that we can demosaic by using the proposed algorithm compared with the conventional one in about +34.79% SNR, +11.43% PSNR, +1.54% SSIM and 14.02% S-CIELAB error. Thus, the proposed method demosaics better than the conventional methods.