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基于視覺(jué)檢測技術(shù)的輪轂位置精確測定
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沈陽(yáng)工學(xué)院遼寧省數控機床信息物理融合與智能制造重點(diǎn)實(shí)驗室

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國家自然科學(xué)基金(62073226),遼寧省自然科學(xué)基金重點(diǎn)領(lǐng)域聯(lián)合開(kāi)放基金(2020-KF-11-09),沈撫示范區本級科技計劃項目(2020JH13), 遼寧省中央引導地方科技發(fā)展資金(2021JH6/10500137)


Accurate determination of wheel hub position based on visual inspection technology
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    摘要:

    針對工業(yè)技術(shù)智能化的發(fā)展趨勢,及電動(dòng)車(chē)輕質(zhì)合金輪轂機械加工藝,對裝卡位置精度要求,本文研究一種有效的輪轂裝卡位置精準測定方法,以解決當前檢測方法,易受人為因素影響、效率低、穩定性差等問(wèn)題。提出一種基于機器視覺(jué)技術(shù)的非接觸式輪轂裝卡位置精確測定方法,應用CCD工業(yè)相機搭建視覺(jué)檢測系統,運用雙特征位置精確測定方法,提取相機攝入圖像中輪轂氣門(mén)孔和中心孔的兩處主要特征,通過(guò)對雙特征數據的分析與計算確定輪轂位置精度誤差,并根據計算數據輸出裝卡位置誤差,應用分段位移、逐漸次定位的方式進(jìn)行反饋補償。通過(guò)實(shí)驗測量表明,在系統的測量參量值中,角度標準差為0.0226°,測量不確定度為0.0036°,測量精度理想,平均檢測時(shí)間為0.29s,檢測時(shí)效性良好,能夠滿(mǎn)足輪轂自動(dòng)化加工位置檢測的性能要求。

    Abstract:

    In view of the development trend of intelligent industrial technology, and the requirements of light alloy wheel hub machining process for the accuracy of clamping position, this paper studies an effective accurate determination method of wheel hub clamping position, in order to solve the problems of current detection methods, such as easy to be affected by human factors, low efficiency, poor stability and so on. This paper proposes a non-contact accurate measurement method of wheel hub mounting position based on machine vision technology. A vision detection system is built by using CCD industrial camera. Two main features of wheel hub valve hole and center hole are extracted by using the accurate measurement method of double feature position. The accuracy error of wheel hub position is determined by analyzing and calculating the double feature data, According to the calculated data, the position error of the card is output, and the feedback compensation is carried out by means of subsection displacement and gradual positioning. The experimental results show that the angle standard deviation is 0.0226 ° and the measurement uncertainty is 0.0036 ° in the measurement parameters of the system, the measurement accuracy is ideal, the average detection time is 0.29s, and the detection timeliness is good, which can meet the performance requirements of wheel hub automatic machining position detection.

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呂堯,劉業(yè)峰,趙科學(xué),雷翔鵬,孫福英.基于視覺(jué)檢測技術(shù)的輪轂位置精確測定計算機測量與控制[J].,2022,30(1):72-77.

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  • 收稿日期:2021-06-15
  • 最后修改日期:2021-07-21
  • 錄用日期:2021-07-22
  • 在線(xiàn)發(fā)布日期: 2022-01-24
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