• 제목/요약/키워드: Plunge grinding

검색결과 39건 처리시간 0.03초

Fault Detection of the Cylindrical Plunge Grinding Process by Using the Parameters of AE Signals

  • Kwak, Jae-Seob;Song, Ji-Bok
    • Journal of Mechanical Science and Technology
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    • 제14권7호
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    • pp.773-781
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    • 2000
  • The focus of this study is the development of a credible fault detection system of the cylindrical plunge grinding process. The acoustic emission (AE) signals generated during machining were analyzed to determine the relationship between grinding-related faults and characteristics of changes in signals. Furthermore, a neural network, which has excellent ability in pattern classification, was applied to the diagnosis system. The neural network was optimized with a momentum coefficient, a learning rate, and a structure of the hidden layer in the iterative learning process. The success rates of fault detection were verified.

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전해 인프로세스 드레싱법(ELID)을 이용한 철강재료의 고능률 원통연삭 (High Efficient Cylindrical Grinding of Ferrous Materials Using Electrolytic In-process Dressing Method(ELID))

  • 이득우;고교일랑;대삼정;중천위웅
    • 한국정밀공학회지
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    • 제12권8호
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    • pp.99-105
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    • 1995
  • This paper provides a highly efficient grinding for ferrous materials using ELID-grinding method. The grinding efficiency using ELID gring method with CIFB-cBN wheel and CB-cBN wheel is compared with general grinding method with V-cBN wheel. This paper measured grinding ratio for plunge grinding and grinding resistance for traverse grinding in order to investigate grinding ability. The results show that ELID grinding methods is useful for the high efficient grinding of ferrous materials.

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원통연삭 실험자료를 이용한 트래버스 연삭공정중의 형상예측 (Prediction of Form Accuracy during Traverse Grinding of Slender Workpiece Using the Cylindrical Prunge Grinding Data)

  • 박철우;이상조
    • 한국정밀공학회지
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    • 제17권3호
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    • pp.174-183
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    • 2000
  • Non-Parallelism the axial direction occurs during grinding process of long slender shafts. The reason for the axial error is due to elastic deformation of the components, accumulation phenomenon of the grinding and wheel wear during the grinding process. The accumulation phenomenon, the size generation mechanism and the wheel wear process during traverse grinding result in complicated process at each step on the wheel surface. The grinding system stiffness obtained from the stiffness of the center on the tailstock and the workpiece varing according to the relative position of the wheel and the workpiece. Further more, the value of wheel wear increases as the grinding process advances. The above mentioned issues make the shape generation process during traverse grinding quite complicated. This research analyzes the shape generation process in the direction of the work spindle. First, the formulation of the grinding system stiffness was conducted and the simulation analysis method of the traverse grinding was established. Also, a measuring system for assessing the dimensinal accuracy of the workpiece has been developed.

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Monitoring of Grinding Wheel Wear in Surface Grinding Process by Using Laser Scanning Micrometer

  • Ju, Kwang-Hun;Kim, Hyun-Soo;Hong, Seong-Wook;Park, Chun-Hong
    • International Journal of Precision Engineering and Manufacturing
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    • 제2권1호
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    • pp.81-86
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    • 2001
  • This paper deals with the monitoring of grinding wheel wear in surface grinding process. A monitoring system, which makes use of a laser scanning micrometer, is developed to measure the circumferential shape as well as the axial profile of grinding wheel. The monitoring system is applied to surface grinding processes. The experimental results show that the developed monitoring system is useful not only for monitoring the amount of wear in grinding wheel but also for evaluation the quality of ground surface and determining proper derssing time for the grinding wheel.

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LSM을 이용한 연삭 숫돌 마모 모니터링 (Monitoring of Grinding Wheel Wear Using Laser Scanning Micrometer)

  • 주광훈;김현수;홍성욱;박천홍
    • 한국정밀공학회지
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    • 제17권12호
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    • pp.82-87
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    • 2000
  • This paper deals with monitoring of grinding wheel wear in grinding process. A monitoring system is developed in which a laser scanning micrometer is used to measure the circumferential shape as well as the axial shape of grinding wheel. The monitoring system is applied to grinding machines. The experiment results show that the monitoring system is useful not only for monitoring the amount of wear in grinding wheel but also for measuring the apparent diameter of the grinding wheel.

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인공지능 알고리즘을 이용한 최적 연삭 공정 설계 (Design of the Optimal Grinding Process Conditions Using Artificial Intelligent Algorithm)

  • 최정주
    • 한국생산제조학회지
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    • 제18권6호
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    • pp.590-597
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    • 2009
  • The final quality of the workpiece is affected by the grinding process that has been conducted in final manufacturing stage. However the quality-satisfaction of ground workpiece depends on the skill of an expert in this process. Therefore, the process models of grinding have been developed to predict the states according to grinding process. In this paper, in order to find the optimized grinding condition to reduce the manufacturing expense and to meet requirements of ground workpiece optimization algorithm using E.S.(Evolutionary Strategy) is proposed. The proposed algorithm has been employed to find the optimal grinding and dressing condition using the grinding process models and nonlinear grinding constraints. The optimized results also presents the guide line of grinding process. The effectiveness of the proposed algorithm is verified through the experimental results.

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선형가이드용 블록 연삭 공정 시뮬레이션 및 개선에 대한 연구 (Simulation and Improvement of Grinding Processes for Linear Motion Guide Blocks)

  • 조명동;김현수;홍성욱;박천홍
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.1018-1021
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    • 1997
  • This paper presents a result of simulation and improvement of grinding process for linear motion guide blocks. A simulation software, which is based on cylindrical grinding process. is used to predict the grinding wheel wear during the grinding process. To validate the simulation, the simulation result is compared with the experimental one. Simulation study is extended to obtain an optimal grinding condition for minimizing the grinding wheel wear. The optimal condition is validated through an experiment.

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Detection Technique of Fault Phenomena Using Power Parameters in Grinding Process

  • Kwak, Jae-Seob;Ha, Man-Kyung
    • International Journal of Precision Engineering and Manufacturing
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    • 제3권1호
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    • pp.5-12
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    • 2002
  • The grinding process has been mainly used fur finishing metal products as final machining stage. But chatter vibration and bum of a workpiece have a bad effect on the machined surface and should be detected in modern grinding process. This paper deals with a fault detection of the cylindrical plunge grinding process by power parameters. During the grinding process the power signals of an induced motor were sampled and used to determine the relationship between fault and change of power parameters. A neural network was used far detecting the grinding fault and an influence of power parameters to the grinding fault was analyzed.

연삭숫돌 주축 및 공작물 회전체 진동을 고려한 원통 연삭 가공의 동특성 해석 (Dynamic Analysis of External Cylindrical Grinding Considering Spindle and Workpiece Vibrations)

  • 최상현;김덕현;안유민
    • 한국정밀공학회지
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    • 제17권6호
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    • pp.192-198
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    • 2000
  • This paper presents multi degree analysis of self-exited vibration of grinding system including spindle and workpiece rotational effect. The governing equations are derived by applying the finite element method to structure of spindle and workpiece rotor and by estimating the grinding force. Vibration analysis is carried out for external cylindrical plunge grinding. Displacement of workpiece and grinding force is simulated with machining time. Using this model, effects of characteristics of spindle bearing and major grinding conditions on chatter growth rate are predicted. Some of results are compared with those of other previous model and show good agreements.

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뉴럴 네트워크를 이용한 밸브 부품 생산용 플런지 연삭의 거칠기 예측모델 개발 (Development of Roughness Estimation Model for Plunge Grinding of Valve Parts Using Neural Network)

  • 최정주;박준홍
    • 한국산학기술학회논문지
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    • 제12권1호
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    • pp.62-67
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    • 2011
  • 본 연삭공정은 제품의 품질 만족도를 충족시키기 위해 기계가공의 마지막단계에서 이루어지는 공정이다. 일반적으로 연삭된 공작물의 가공 표면은 연삭 조건 및 드레싱 조건에 의해 그 정도가 결정된다. 이러게 연삭된 공작물의 표면 거칠기를 예측하기 위해서 몇 가지 거칠기 모델들이 연구되었다. 기존의 모델들은 몇 가지 주요 파라미터를 선정하고 이들 파라미터를 곱의 형태로 모델을 만들어 그 파라미터의 영향도를 고려하였다. 그러나 이러한 파라미터간 곱의 형태는 복잡한 연삭 메커니즘을 나타내기에는 충분하지가 않다. 따라서 본 연구에서는 뉴럴네트워크 알고리즘을 이용하여 플런지 연삭의 연삭 모델을 제안하였다. 제안된 구조는 초기 거칠기 모델과 최종 거칠기 모델로 구성되어 있다. 제안된 뉴럴네트워크의 입력 파라미터는 기존의 거칠기 모델들의 것을 이용하였다. 제안된 모델의 거칠기 예측 성능은 실험을 통해 검증하였다.