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機械視覺(jué)疲勞裂紋擴展試件自動(dòng)定位安裝方法
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浙江工業(yè)大學(xué) 特種裝備制造與先進(jìn)加工技術(shù)教育部/浙江省重點(diǎn)實(shí)驗室,浙江工業(yè)大學(xué) 特種裝備制造與先進(jìn)加工技術(shù)教育部/浙江省重點(diǎn)實(shí)驗室,浙江工業(yè)大學(xué) 特種裝備制造與先進(jìn)加工技術(shù)教育部/浙江省重點(diǎn)實(shí)驗室,浙江工業(yè)大學(xué) 特種裝備制造與先進(jìn)加工技術(shù)教育部/浙江省重點(diǎn)實(shí)驗室

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TP87 TP317.4

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The installation and position method of fatigue crack propagation specimen Based on Machine Vision Technology
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Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology,Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology,Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology,Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology

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    摘要:

    針對現有疲勞裂紋擴展試驗中試件的安裝定位仍采用操作繁瑣、效率低下的手動(dòng)安裝問(wèn)題,本文提出了一種基于機械視覺(jué)的疲勞裂紋擴展試件安裝定位方法,首先,對試件及夾具圖像進(jìn)行采集、處理和分析,實(shí)現夾具、試件圓心坐標及半徑的自動(dòng)快速識別、孔差距離的精確測量;然后利用模糊PID算法來(lái)控制直流伺服電機運動(dòng)定位,從而實(shí)現試件的正確安裝定位;最后采用工業(yè)數字顯微鏡對不同時(shí)間點(diǎn)的試件位置偏差進(jìn)行停機測量對比,實(shí)驗結果表明:所提出方法能夠對試件進(jìn)行精確安裝定位,最大偏差為0.122 mm,具有重要的理論和應用價(jià)值,并為其它類(lèi)似基于機器視覺(jué)的檢測定位方法提供了有價(jià)值的參考。

    Abstract:

    Aiming at the work tedious repetitive and low efficiency in the installation and position of specimen during the high frequency fatigue crack test, the installation and position method of fatigue crack propagation specimen was proposed, which can recognize the center coordinates and radius of fixture and specimen automatically and quickly, measure the holes distance accurately. then the fuzzy PID was used to control the DC servo motor. In order to validate the accuracy of the fatigue crack propagation specimen installation and position system, the digital microscope was used to measure the specimen position deviation at different time points. The research results show that the proposed method can measure the holes distance between fixture and specimen accurately, the maximum deviation is 0.122mm. All above, the presented method is valid and accurate, which provides a valuable reference for other detecting and positioning systems based on machine vision., and it has theoretical significance and practical value.

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鄭歡斌,高紅俐,劉歡,劉輝.機械視覺(jué)疲勞裂紋擴展試件自動(dòng)定位安裝方法計算機測量與控制[J].,2015,23(12):78.

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  • 收稿日期:2015-06-29
  • 最后修改日期:2015-08-12
  • 錄用日期:2015-08-13
  • 在線(xiàn)發(fā)布日期: 2016-01-08
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