• 제목/요약/키워드: Nosing processing

검색결과 4건 처리시간 0.233초

대형 튜브성형체의 노징 공법 연구 (Study on Nosing Method for Large Size Tube Formed Body)

  • 조창연;박주성;이종억;정덕진
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2009년도 추계학술대회 논문집
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    • pp.408-411
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    • 2009
  • The plastic working process is a well-known molding method to produce products with good mechanical properties whilst reducing material loss and production time at the same time. Among those methods, the nosing process is commonly used for valves, tubes and ammunition which require high mechanical properties since it provides change in shape without additional mechanical process, minimum material loss during the post-process and superior properties. However, high manufacturing cost and time are required for the large-size tubes due to the multi-step nosing processes. In addition, there are some potential risks due to the buckling and property variation caused by the nosing process, too. Therefore, the shell nosing process is investigated and used in this study in order to resolve the problems described previously. Thus, we could obtain the process with lower cost and improved efficiency by means of the shell nosing process.

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6.75L급 소형 AA6061 라이너의 후방압출 및 노우징 공정에 관한 해석적 연구 (Numerical Evaluation of Backward Extrusion and Head Nosing for Producing a 6.75L Small Seamless AA6061 Liner)

  • 구태완;강범수
    • 소성∙가공
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    • 제22권4호
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    • pp.204-215
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    • 2013
  • As a pressure vessel, a small seamless aluminum liner with inner volume of about 6.75L is made from an initial billet material of AA6061-O. To produce the aluminum liner, warm forging including backward extrusion and head nosing was numerically simulated using a billet initially pre-heated to about $480^{\circ}C$. Compression tests on the billet material were performed at various temperatures and strain rates, and the measured mechanical properties were used in the numerical simulations. For the backward extrusion and the head nosing, the tool geometries were designed based on the desired configuration of the aluminum liner. Furthermore, the structural integrity of the tooling was evaluated to ensure adequate tool life. The seamless aluminum liner has an endurance limit of about 1.47MPa ($15Kg_f/cm^2$), estimated based on the required inner pressure. The results confirm that the small seamless aluminum liner of AA6061-O can be successfully made by using the two stage warm forging procedures without any bursting failures.

Rotary Swaging 공법을 적용한 탄체 소성가공에 관한 연구 (A Study on the Plastic Forming by Rotary Swaging Process)

  • 손병철;이호진
    • 한국산학기술학회논문지
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    • 제21권6호
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    • pp.672-678
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    • 2020
  • 국내에서 생산중인 대구경 탄약은 대부분 Ogive 부를 제조하는 방법으로 Press Nosing 공법을 적용하고 있다. Press Nosing 공법은 프레스 공정 전 후 윤활처리 등의 추가적인 공정이 필요한 단점이 있다. 본 연구에서는 이러한 단점을 개선할 수 있는 점진성형 공법 중 하나인 Swaging 공법의 대구경 탄약 적용 가능성을 제시하고자 하였다. 대구경 탄약인 155MM K307 탄체는 Press Nosing 공정을 적용하는 대표적인 제품으로, 본 연구에서는 K307 탄체의 Sub-scale 시험품을 제작하여 Swaging 공정을 적용한 소성가공 실험을 실시하였다. 최종 성형 치수를 만족하는 단면감소율 75 % 까지 소성가공이 가능한지 여부 및 Swaging 성형으로 제작된 제품의 치수만족 여부, 제품 결함 발생 여부, 단면감소율에 따른 경도 변화, 두께의 증가 등을 고찰하였다. 시험을 통해 단면적 감소율에 따라 비례적으로 경도가 증가하여 단면적 감소율 75 %에서 경도는 HV 335 이상 증가하는 것을 확인하였다. 소재두께 변화량은 이론적 계산값과 유사한 경향을 보였으며 단면 감소율 75 %에서 두께 증가율은 65.4 %로 비례함을 확인하였다.

An Improved Spin Echo Train De-noising Algorithm in NMRL

  • Liu, Feng;Ma, Shuangbao
    • Journal of Information Processing Systems
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    • 제14권4호
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    • pp.941-947
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    • 2018
  • Since the amplitudes of spin echo train in nuclear magnetic resonance logging (NMRL) are small and the signal to noise ratio (SNR) is also very low, this paper puts forward an improved de-noising algorithm based on wavelet transformation. The steps of this improved algorithm are designed and realized based on the characteristics of spin echo train in NMRL. To test this improved de-noising algorithm, a 32 points forward model of big porosity is build, the signal of spin echo sequence with adjustable SNR are generated by this forward model in an experiment, then the median filtering, wavelet hard threshold de-noising, wavelet soft threshold de-noising and the improved de-noising algorithm are compared to de-noising these signals, the filtering effects of these four algorithms are analyzed while the SNR and the root mean square error (RMSE) are also calculated out. The results of this experiment show that the improved de-noising algorithm can improve SNR from 10 to 27.57, which is very useful to enhance signal and de-nosing noise for spin echo train in NMRL.