• Title/Summary/Keyword: 유연성디스크연삭가공

Search Result 14, Processing Time 0.02 seconds

A study on the linear motor feed flexible disk grinding system (리니어모터 이송 유연성 연삭가공 시스템에 관한 연구)

  • 유송민;최명진;신관수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
    • /
    • 2004.10a
    • /
    • pp.309-314
    • /
    • 2004
  • A flexible disk grinding system process has been introduced that utilized varying disk orientation with respect to workpiece along with the applied feed speed. Various process conditions including cutting speed, maximum feed speed and orientation angles could applied to observe process outcomes. Even though continuous and constant feed speed has been applied to the process, the results from the trapezoidal input velocity profiles would be observed and compared. Based on the control strategies including neural network methodologies, several output results were compared to find the optimum process condition. Two axis control results were displayed showing better performance with higher trajectory error for larger training epoch.

  • PDF

A Study on the Estimation of the Flat Zone Length by using Image Processing (화상처리를 이용한 유연성디스크 가공 평면구간 측정에 관한 연구)

  • Roh, Dae-Ho;Park, Hwan-Seo;Lee, Hong-Guk;Shin, Kwan-Soo;Yoo, Song-Min
    • Journal of the Korean Society of Manufacturing Technology Engineers
    • /
    • v.19 no.5
    • /
    • pp.672-677
    • /
    • 2010
  • The goal of this study is to simplify the measurement process of the flat zone length produced by a flexible disk grinding system for the process automation. The image of workpiece in the grinding process is obtained, and the cutting speed and the feeding speed are controlled carefully to maximize the flat zone length. The gradient, the inflection point and the length of the line in the image are calculated, and the length is also measured by using a projector. Processing conditions and inversely proportional to flat zone length was changing. The flat zone length is estimated by Neural network algorithm considering the process conditions with the estimated error range as 0.06~3.61%, the Neural network algorithm for the grinding process estimation is found to be useful for building the process automation database.

Modeling of flexible disk grinding process for automation of hand-grinding (수동연삭공정 자동화를 위한 유연성 디스크가공 모델링)

  • Yoo, Song-Min;Kim, Young-Jin
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.26 no.4
    • /
    • pp.376-383
    • /
    • 2000
  • A flexible disk grinding process model has been implemented with varying disk orientation with respect to workpiece surface along with variable feed rate. Before implementing arbitrary disk orientation and translation, disk angle and feed rate variation have been implemented. The disk angle was changed with constant angular velocity only in the entrance stage. The effect of the variable feed rate was added to the geometric schematic. The feed rate was changed either from the entrance stage or from the between edges stage and process performance was evaluated. Effect of changing both angle end feed rate has been also analyzed. Disk trend showing actual disk deflection has also been visualized.

  • PDF

Development of Diagnostic Expert System for Machining Process Ffailure Detection (가공공정의 이상상태진단을 위한 진단전문가시스템의 개발)

  • Yoo, Song-Min;Kim, Young-Jin
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.14 no.11
    • /
    • pp.147-153
    • /
    • 1997
  • Fault diagnosis technique in machining system which is one of engineering techniques absolutely necessary to automation of manufacturing system has been proposed. As a whole, diagnosis process is explained by two steps: sensor data acquisition and reasoning current state of system with the given sensor data. Flexible disk grinding process implemented in milling machine was employed in order to obtain empirical manufacturing process information. Resistance force data during machining were acquired using tool dynamometer known as sensor which is comparably accurate and reliable in operation. Tool status during the process was analyzed using influnece diagram assigning probability from the statistical analysis procedure.

  • PDF