• 제목/요약/키워드: Roll taps

검색결과 2건 처리시간 0.016초

Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components

  • Bustillo, Andres;Lopez de Lacalle, Luis N.;Fernandez-Valdivielso, Asier;Santos, Pedro
    • Journal of Computational Design and Engineering
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    • 제3권4호
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    • pp.337-348
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    • 2016
  • An experimental approach is presented for the measurement of wear that is common in the threading of cold-forged steel. In this work, the first objective is to measure wear on various types of roll taps manufactured to tapping holes in microalloyed HR45 steel. Different geometries and levels of wear are tested and measured. Taking their geometry as the critical factor, the types of forming tap with the least wear and the best performance are identified. Abrasive wear was observed on the forming lobes. A higher number of lobes in the chamber zone and around the nominal diameter meant a more uniform load distribution and a more gradual forming process. A second objective is to identify the most accurate data-mining technique for the prediction of form-tap wear. Different data-mining techniques are tested to select the most accurate one: from standard versions such as Multilayer Perceptrons, Support Vector Machines and Regression Trees to the most recent ones such as Rotation Forest ensembles and Iterated Bagging ensembles. The best results were obtained with ensembles of Rotation Forest with unpruned Regression Trees as base regressors that reduced the RMS error of the best-tested baseline technique for the lower length output by 33%, and Additive Regression with unpruned M5P as base regressors that reduced the RMS errors of the linear fit for the upper and total lengths by 25% and 39%, respectively. However, the lower length was statistically more difficult to model in Additive Regression than in Rotation Forest. Rotation Forest with unpruned Regression Trees as base regressors therefore appeared to be the most suitable regressor for the modeling of this industrial problem.

위성 채널에서 확장된 OQPSK 위상동기 알고리즘 성능평가 (The Performance Evaluation of Extended Phase Recovery Algorithm for OQPSK in Satellite Channel)

  • 김명섭;송윤정;정지원
    • 한국통신학회논문지
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    • 제25권5A호
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    • pp.634-640
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    • 2000
  • 본 논문에서는 OQPSK 신호에 대한 공상 변수(Maximum Likelihood parameter) 평가에 기반을 둔 확장된 DD-DEO(Decision Directed-Decision Estimate) 위상 동기 알고리즘을 제안한다. 제안한 방식은 기존의 방식과 비교할 때, 위상 검출기 블록 전에 I(In-phase), Q(Quadrature-phase)채널 당 2 tap을 가지는 필터 블록을 첨가함으로써, 위상 동기 루프에 입력되는 데이터 의존적인 잡음을 줄일 수 있다. 제안한 방식은 송 수신단 기저대역 필터의 롤오프 요소(roll-off factor), 위성 채널의 백오프(back-off) 그리고 루프 대역(loop bandwidth)을 결정하는 $\beta$를 변화시키며 위상 오차와 오류 확률 관점에서 기존의 방식 및 QPSK와 비교하여 성능 평가를 행하였다.

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