• 제목/요약/키워드: Roundness Accuracy

검색결과 71건 처리시간 0.025초

유한요소해석을 이용한 환봉 단조공정 최적화 (Optimization of Round Bar Forging Process by Using Finite Element Analysis)

  • 최성기;천명식;문영훈
    • 소성∙가공
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    • 제13권2호
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    • pp.142-147
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    • 2004
  • Three-dimensional rigid-plastic finite element analysis has been performed to optimize open die forging process to make round bar. In the round bar forging, it is difficult to optimize process parameters in the operational environments. Therefore in this study, finite element method is used to analyze the practice of open die forging, focusing on the effects of reduction, feeding pitch and rotation angle for optimal forging pass designs. The soundness of forging process has been estimated by the smoothness and roundness of the bar at various combination of feeding pitches and rotation angles. From the test result, process conditions to make round bar having precise dimensional accuracy have been proposed.

DBB를 이용한 5축 복합가공기의 오차 측정 시스템 개발에 관한 연구 (The Development of An Error Measurement System of 5-Axis Mill & Turn Machine Tool by Double Ball Bar Test)

  • 김태한;정윤교;고해주
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.243-244
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    • 2006
  • In this paper, the development of an error measurement system of 5-axis mill & turn machine tool presented by double ball bar test, which has been widely used to measure the overall accuracy of machining center. and the reliability of an error measurement system of 5-axis mill & turn machine tool was secured by the direct cutting test.

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새로운 내측기어 성형용 사출성형 금형구조의 개발 (Development of a new injection mold structure for internal gears)

  • 권윤숙;제덕근;정영득
    • 한국금형공학회:학술대회논문집
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    • 한국금형공학회 2008년도 하계 학술대회
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    • pp.129-133
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    • 2008
  • As a rotating machine element, plastic gears are more and more widely used in such as industrial machine element, since plastic gear is lighter, higher wear-resistance, and higher vibration absorbing ability than metal gears. When operating plastic parts, tooth breakage and fatigue life shortened due to increasing number of applying load and tooth flank temperature rising, such that accuracy of plastic gears is divided from allowable range to cause vibration and noise. On this study, a internal plastic gears are developed which improved the filling balance molding process by a new injection mold structure. The new mold structure called HR3P(hot runner type 3plate mold). As the result from this studies, we obtained a very accurate roundness internal gears by using design of experiment.

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스핀들 회전 오차 측정의 디지틀 방법에 관한 연구 (A digital measurement method for rotational errors of a machine spindle)

  • 공인복;박윤창;김승우
    • 대한기계학회논문집
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    • 제13권3호
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    • pp.443-450
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    • 1989
  • 본 연구에서는 공작기계 생산 현장에서 직접적으로 이용될 수 있는 측정시스 템의 개발을 목표로 이제까지 이론적으로 제안된 스핀들 정밀도 측정방법을 종합 분석 하여 디지틀 측정의 기본이론을 정립하고 이를 기반으로 마이크로 컴퓨터를 이용한 측정시스템을 실계 제작하였다.또한 실험을 통하여 본 연구에서 제안된 측정 시스 템의 성능을 기존의 애널로그 측정방법과 비교 검토함으로써 본 방법의 우수성 및 제한점을 실증적으로 입증하고자 하였다.

원통형 커패시턴스 센서를 이용한 초정밀 공기 주축의 회전오차 측정

  • 김해일;박상신;한동철
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.637-642
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    • 1995
  • For measuring the error motion of ultra-precision spindle, eliminating the geometric errors is a must. Unless it is achieved, geometric errors will be dominant in data. Here, the roundness error and alignment error between spindle and sensor are to be removed. That's because typical error range of such spindle is muchless than geometric one. A capacitive transducer of cylidricalshape was developed, which takes full advantage of the spatial-averaging effect by using large area compared tpo the geometric error. This idea was first proposed by Chapman and here it is modified for better performance with nomical gap of 50 .mu. m and with newly designed guards which encompass the respective sensor to rectify the electrical field distribution in good shape. The measurement system is made to get the orbit of Ultra-Precision Air Spindle which is supposed to have its runout under 1 .mu. m. The Calibration data of this sensor is presented and the spindle orbit from 2000rpm to 5500rpm is showed. It is quite reasonable to use this sensor in the range of 60 .mu. m with an accuracy of several tens of nm.

복합공정을 이용한 스테인레스 박판 마이크로 노즐 어레이 제작 (Fabrication of the Micro Nozzle Arrays on a Stainless Steel Sheet Metal by Using Combined Micro Press and Surface Finishing Process)

  • 박성준;유영석;장현석;김영태;김순영;이상조
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.1294-1298
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    • 2005
  • In this study, combined micro press and surface finishing process are proposed to fabricate the micro nozzle array on a stainless steel sheet metal. In micro hole punching process the burr occurs inevitably, but the burr must be minimized in order to improve the quality and accuracy of the product. For this reason, subsequent magnetic field-assisted finishing technique is applied to remove the burr which exists around the nozzles for ink-jet printer head and proved to be a feasible for deburring by experiment. The deburring characteristics of sheet metals were investigated changing with polishing time and magnetic abrasive size. After the deburring, the burr size has remarkably reduced and roundness of the hole also has improved.

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금형용 초경합금재의 내면연삭 가공능률향상에 관한 기초적 연구 (A Fundamental Study on the Internal Grinding of Tungste Carbide Materials for Metal Mould to Improve the Machining Performance)

  • 허성중;이규천;김영일;김원일
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 춘계학술대회 논문집
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    • pp.39-43
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    • 1996
  • This paper described on the effect of residual stocks in internal grinding of tungsten carbide materials in order to improve the grinding efficiency as well as grinding accuracy. Though the fundamental investigation is carried out for tungsten carbide materials using electroplated diamond wheel, the residual stock after grinding process is effective to the grinding effciiency. The obtained results are as follows: (1) Under the depth of cut(t) is constant and decreasing the workpiece velocity(Vw), the resiudal stock after grinding is increased, but the difference is little less than the difference by table speed. (2) Increasing the wheel velocity, the residual stock after grinding is decreased. Therefore in order to minimize the residual stock, the wheel velocity should be increased as far as possible. (3) The surface foughness and out-of roundness increased with depth of cut and table speed, and decreased with wheel velocity, but it may as well adopt as much as polssible under the dimensional tolerance which is required for high efficiency grinding. (4) In order to remove residual stock, the spark-out grinding shoule be done, and it also can be improved about 20 .approx. 25% throughout spark-out grinding, and the number of optimal spark-out times were within 10 times.

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초경합금재의 내면연삭에서 가공능률 향상에 관한 연구 (A Study on the Internal Grinding of Tungsten Carbide Materials to Improve the Machining Performance)

  • 허성중
    • 한국정밀공학회지
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    • 제13권6호
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    • pp.52-58
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    • 1996
  • This paper described on the effect of residual stocks in internal grinding of tungsten carbide materials in order to improve the grinding efficiency as well as grinding accuracy. Through the fundamental investigation is carried out for tungsten carbide materials using electroplated diamond wheel, the residual stock after grinding process is effective to the grinding efficiency. The obtained results are as follows: (1) Under the depth of cut(t) is constant and decreasing the workpiece velocity(Vw), the residual stock after grinding is increased, but the difference is little less than the difference by table speed. (2) Increasing the wheel velocity, the residual stock after grinding is decreased. Therefore in order to minimize the residual stock, the wheel velocity should be increased as far as possible. (3) The surface roughness and out-of roundness increased with depth of cut and table speed, and decreased with wheel velocity, but it may as well adopt as much as possible under the dimensional tolerance which is required for high efficiency grinding. (4) In order to remove residual stock, the spark-out grinding shoule be done, and it also can be improved about 20~25% throughout spark-out grinding, and the number of optimal spark-out times were within 10 times.

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컬러 컴퓨터시각에 의거한 건표고 등급 선별시스템 개발 (Development of Grading and Sorting System of Dried Oak Mushrooms via Color Computer Vision System)

  • 김시찬;최동엽;최선;황헌
    • Journal of Biosystems Engineering
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    • 제32권2호
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    • pp.130-135
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    • 2007
  • An on-line real time grading and sorting system for dried oak mushrooms was developed for on-site application. Quality grades of the mushrooms were determined according to an industrial specification. Three dimensional visual quality features were used for the grading. A progressive color computer vision system with white LED illumination was implemented to develop an algorithm to extract external quality patterns of the dried oak mushrooms. Cap (top) and gil (stem) surface images were acquired sequentially and side image was obtained using mirror. Algorithms for extracting size, roundness, pattern and color of the cap, thickness, color of the gil and amount of rolled edge of the dried mushroom were developed. Utilizing those quality factors normal and abnormal ones were classified and normal mushrooms were further classified into 30 different grades. The sorting device was developed using microprocessor controlled electro-pneumatic system with stainless buckets. Grading accuracy was around 97% and processing time was 0.4 s in average.

편평세포암종 임파절 전이에 대한 인공 신경망 시스템의 진단능 평가 (Artificial Neural Network System in Evaluating Cervical Lymph Node Metastasis of Squamous Cell Carcinoma)

  • 박상욱;허민석;이삼선;최순철;박태원;유동수
    • 치과방사선
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    • 제29권1호
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    • pp.149-159
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    • 1999
  • Purpose: The purpose of this study was to evaluate cervical lymph node metastasis of oral squamous cell carcinoma patients by MRI film and neural network system. Materials and Methods: The oral squamous cell carcinoma patients(21 patients. 59 lymph nodes) who have visited SNU hospital and been taken by MRI. were included in this study. Neck dissection operations were done and all of the cervical lymph nodes were confirmed with biopsy. In MR images. each lymph node were evaluated by using 6 MR imaging criteria(size. roundness. heterogeneity. rim enhancement. central necrosis, grouping) respectively. Positive predictive value. negative predictive value. and accuracy of each MR imaging criteria were calculated. At neural network system. the layers of neural network system consisted of 10 input layer units. 10 hidden layer units and 1 output layer unit. 6 MR imaging criteria previously described and 4 MR imaging criteria (site I-node level II and submandibular area. site II-other node level. shape I-oval. shape II-bean) were included for input layer units. The training files were made of 39 lymph nodes(24 metastatic lymph nodes. 10 non-metastatic lymph nodes) and the testing files were made of other 20 lymph nodes(10 metastatic lymph nodes. 10 non-metastatic lymph nodes). The neural network system was trained with training files and the output level (metastatic index) of testing files were acquired. Diagnosis was decided according to 4 different standard metastatic index-68. 78. 88. 98 respectively and positive predictive values. negative predictive values and accuracy of each standard metastatic index were calculated. Results: In the diagnosis of using single MR imaging criteria. the rim enhancement criteria had highest positive predictive value (0.95) and the size criteria had highest negative predictive value (0.77). In the diagnosis of using single MR imaging criteria. the highest accurate criteria was heterogeneity (accuracy: 0.81) and the lowest one was central necrosis (accuracy: 0.59). In the diagnosis of using neural network systems. the highest accurate standard metastatic index was 78. and that time. the accuracy was 0.90. Neural network system was more accurate than any other single MR imaging criteria in evaluating cervical lymph node metastasis. Conclusion: Neural network system has been shown to be more useful than any other single MR imaging criteria. In future. Neural network system will be powerful aiding tool in evaluating cervical node metastasis.

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