• 제목/요약/키워드: Grinding zone

검색결과 33건 처리시간 0.03초

크리피드연삭에서 공작물로 유입되는 에너지 비율 (Energy Partition to Workpiece in Creep feed Grinding)

  • 김남경;박호성;홍순익;송지복
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 춘계학술대회 논문집
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    • pp.799-804
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    • 1997
  • This paper is concerned with the heat flux distribution and energy partition for creep-feed grinding. Form measurements of transient grinding temperatures in the workpiece sub-surface using an embeded thermocouple, the overall energy partition to the workpiece was estimated form moving heat source theory for a triangular heat flux distribution as 3.0% for down grinding and 4.5% for up grinding. The higher energy partition for up grinding can be attributed to the need to satisfy thermal compatibility at the grinding zone. The influence of cooling outside the grinding zone can be analytically taken into account by specifying convective heat transfer coefficients on the workpiecs surface h /sab a/ heat source (grinding zone) and h /sab b/ behind the heat source. The smaller energy patition together with slightly lower grinding power favors down grinding over up grinding.

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크맆피드연삭에서 공작물로 유입되는 에너지 비율 (Energy Partition to Workpiece in Creep feed Grinding)

  • 홍순익
    • 한국생산제조학회지
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    • 제7권6호
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    • pp.42-48
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    • 1998
  • This paper is concerned with the heat flux distribution and energy partition for creep-feed grinding. From measurements of transient grinding temperatures in the workpiece sub-surface using an embedded thermocouple, the overall energy partition to the workpiece was estimated from moving heat source theory for a triangular heat flux distribution as 3.0% for down grinding and 4.5% for up grinding. The higher energy partition for up grinding can be attribute to the need to satisfy thermal compatibility at the grinding zone. The influence of cooling outside the grinding zone can be analytically taken into account by specifying convective heat transfer coefficients on the workpiece surface ha ahead of the heat source (grinding zone) and hb behind the heat source. The smaller energy partition together with slightly lower grinding power favors down grinding over up grinding.

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화상처리시스템을 이용한 유연성디스크 절삭가공에서 평면구간 측정 및 예측에 관한 연구 (A study on the Flat Zone Length of Workpiece at Flexible Disk Grinder Cutting Process Measurement and Prediction using Image Processing)

  • 신관수;노대호
    • 한국생산제조학회지
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    • 제22권3호
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    • pp.402-407
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    • 2013
  • In this paper, the image processing for flexible disk grinding and the effect of the grinding conditions on the flat zone length of a workpiece are investigated, with the purpose of automating the grinding process. To accomplish this, three issues should be carefully studied. The first is finding the relationship between the flat zone length and the grinding conditions such as the cutting speed and feeding speed. The second is developing a neural network algorithm to predict the flat zone. The third is developing an image processing algorithm to measure the flat zone length of a workpiece. Slope analysis is used to determine straight and curved sections during the image processing. For verification, the estimated length and the length from the image processing are compared with the length measured by a projector. There is a minimum difference of 1.7% between the predicted and measured values. The results of this paper will be useful in compiling a database for process automation.

Force Modeling and Machining Characteristics of the Intermittent Grinding Wheels

  • Kwak, Jae-Seob;Ha, Man-Kyung
    • Journal of Mechanical Science and Technology
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    • 제15권3호
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    • pp.351-356
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    • 2001
  • In the surface grinding operations, the grinding fluid cannot be supplied sufficiently in the cutting zone. Temperature generated in the cutting zone increases rapidly and causes thermal damage such as burning on the surface of a workpiece. To reduce thermal damage, the intermittent grinding wheels, which have an excellent cooling effect, have been applied. This paper describes machining characteristics by using intermittent grinding wheels. The grinding force of the intermittent wheels has been simulated by the SIMULAB, which is a program for simulating dynamic systems. Using the intermittent grinding wheels, the characteristics of grinding force, temperature, surface roughness, and geometric error have been evaluated experimently.

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AE에 의한 평면연삭의 가공특성 감시 및 이상진단 (Detection of abnormal conditions and monitoring of surface ginding characteristics by acoustic emission)

  • Lim, Y.H.;Kwon, D.H.;Choi, M.Y.;Lim, S.J.
    • 한국정밀공학회지
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    • 제12권4호
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    • pp.100-110
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    • 1995
  • This paper aims at reviewing the possibility of application over normal or abnormal, detection used by AE, and the characteristics of grinding processes. In this study, when WA-vitri-fied ' resinoid bond grinding wheels:36 kinds of grinding wheel and grinding depth were tuned at the surface grinding, the zone of AE signal generation is theoretically modelled and reviewed by grinding processes. The variation of grinding resistance( F$n^{9}$ $F_{t}$) and AE signal is detected in-process by the use of AE measuring system. The tests are carried out in accordance with grain size and grade of grinding wheels, and work-pieces-STD11 and STD61. According to the experiment's results, the following can be expected;as grinding time passes by, the relation of grinding depth and quantity of AE signal, observing on AE signal and grinding burn suggest the characteristics of grinding processes and evalution on the possibility of control of grinding machine, and monitoring abnormal conditions.e, and monitoring abnormal conditions.

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

  • 노대호;박환서;이홍국;신관수;유송민
    • 한국생산제조학회지
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    • 제19권5호
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    • pp.672-677
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    • 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.

매체형 전동밀의 실제 분쇄장에서 분쇄매체의 거동과 DEM 시뮬레이션의 비교연구 (A Comparative Study for Grinding Media Behavior and DEM Simulation at Actual Grinding Zone on a Traditional Ball Mill)

  • 보르 암갈란;자갈사이항 바트체첵;이재현;최희규
    • Korean Chemical Engineering Research
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    • 제57권6호
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    • pp.804-811
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    • 2019
  • 본 연구는 매체형 전동밀(전동 볼 밀)에서 매체선정에 관한 공정조건 최적화를 위하여, 직경과 재질이 각각 다른 3가지 종류의 분쇄매체를 이용, 매체의 움직임을 실제 촬영하고 DEM 시뮬레이션을 병행하여 비교 연구하였다. 시뮬레이션에서는 밀의 회전속도, 매체의 재질, 매체의 운동속도, 매체와 포트 벽면과의 마찰계수 등을 실제 실험조건과 동일하게 조건을 맞추었다. 다양한 종류의 분쇄매체의 움직임을 실제 촬영된 사진 및 시뮬레이션에서 해석된 스냅샷 사진 위에, 본 연구에서 정의한 분쇄장을 설정하여 해석함으로써 그 값을 정량적으로 측정하였다. 또한, 정량적으로 측정된 값과 분쇄시료의 변화된 모습을 관찰하여 그 상관관계를 검토하였다. 따라서 특정 실험조건에서 분쇄장에 가장 큰 영향을 주는 분쇄매체의 최적화를 제언 하고자 하였다.

신경망을 이용한 유연디스크 디버링가공 아크형상구간 인자예측에 관한 연구 (A Study on the Flexible Disk Deburring Process Arc Zone Parameter Prediction Using Neural Network)

  • 유송민
    • 한국생산제조학회지
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    • 제18권6호
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    • pp.681-689
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    • 2009
  • Disk grinding was often applied to deburring process in order to enhance the final product quality. Inherent chamfering capability of the flexible disk grinding process in the early stage was analyzed with respect to various process parameters including workpiece length, wheel speed, depth of cut and feed. Initial chamfered edge defined as arc zone was characterized with local radius of curvature. Averaged radius and arc zone ratio was well evaluated using neural network system. Additional neural network analysis adding workpiece length showed enhance performance in predicting arc zone ratio and curvature radius with reduced error rate. A process condition design parameter was estimated using remaining input and output parameters with the prediction error rate lower than 2.0% depending on the relevant input parameter combination and neural network structure composition.

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고능률 가공에서 연삭 온도에 미치는 연삭 조건의 영향 (Influence of Operating Condition on Grinding Temperature in High Effect Grinding)

  • 김남경;강대민;송지복
    • 한국안전학회지
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    • 제5권1호
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    • pp.31-39
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    • 1990
  • In this paper, the influence of the table speed, metal removal rate and grinding fluid on long wheel workpiece contact zone at high effect grinding was investigated by theoretical analyses and measuring the temperature, and discussed by the temperature distribution in grinding surface layer. Main results obtained are as follows, 1) Rega.dless of the table speed, the temperature gap of the workpiece(heat influx) is about 6-8 times as high in dry condition as in wet condition. 2) Good grinding condition can be obtained owing to the effect of grinding fluid without any burning defect under the condition of the metal removal rate(1.0mm$^3$/mm.s) in case of wet grinding. 3) When the depth from the surface layer is about 1.25-1.5mm under the condition of the slow table speed, surface temperature goes up higher as the table speed slows down, because long contact time is laked at the surface layer. 4) In case of the same metal removal rate, the lower the table speed becomes, the higher the surface temperature is, because grinding depth has a far more influence on wheel workpiece contact zone than the table speed.

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신경망을 이용한 유연성 디스크 연삭가공공정 인자 예측에 관한 연구 (A Study on the Flexible Disk Grinding Process Parameter Prediction Using Neural Network)

  • 유송민
    • 한국공작기계학회논문집
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    • 제17권5호
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    • pp.123-130
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    • 2008
  • In order to clarify detailed mechanism of the flexible disk grinding system, workpiece length was introduced and its performance was evaluated. Flat zone ratio increased as the workpiece length increased. Increasing wheel speed and depth of cut also enhanced process performance by producing larger flat zone ratio. Neural network system was successfully applied to predict minimum depth of engagement and flat zone ratio. An additional input parameter as workpiece length to the neural network system enhanced the prediction performance by reducing error rate. By rearranging the Input combinations to the network, the workpiece length was precisely predicted with the prediction error rate lower than 2.8% depending on the network structure.