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基于模糊算法的7050鋁合金微觀結(jié)構(gòu)自動(dòng)分析
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北京科技大學(xué),北京科技大學(xué),北京科技大學(xué),北京科技大學(xué),北京科技大學(xué)

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國(guó)家科技支撐計(jì)劃項(xiàng)目 國(guó)家自然科學(xué)基金


Automatic microstructural analysis for 7050 Al alloy based on fuzzy logic method
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University of Science & Technology Beijing,University of Science & Technology Beijing,University of Science & Technology Beijing,University of Science & Technology Beijing,University of Science & Technology Beijing

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    摘要:

    晶粒度是高強(qiáng)度鋁合金微觀組織分析的關(guān)鍵參數(shù)。通常是由人工手動(dòng)獲得，整個(gè)過(guò)程耗時(shí)且容易出錯(cuò)。目前隨著數(shù)字圖像處理技術(shù)和模式識(shí)別技術(shù)的快速發(fā)展為定量金相分析提供了一種新的方法。利用人工智能實(shí)現(xiàn)自動(dòng)金相分析可以克服手工工藝的缺點(diǎn)。在本文中提出了確定的金相圖像的晶粒尺寸的數(shù)字圖像處理的一種新方法?；谀：壿嫷倪吘墮z測(cè)算法的提取晶界。并對(duì)不同方法的金相圖像提取方法進(jìn)行了對(duì)比，驗(yàn)證了該方法的有效性。并基于美國(guó)材料試驗(yàn)學(xué)會(huì)（ASTM）標(biāo)準(zhǔn)獲得了晶粒度等微觀組織參數(shù)。

    Abstract:

    Grain size is one of the crucial parameters in the microstructure analysis of high strength aluminum alloy. This information is commonly derived based on manual processes. However, these manual processes may take long time and are error prone. Nowadays，the rapid development of the digital image processing and the pattern recognition technologies provides a new methodology for the quantitative metallographic analysis. Artificial intelligence utilized in realizing automatic metallographic analysis can overcome the drawbacks of the manual processes. Through this paper we present a new method of digital image processing for determining the grain size of the metallographic images. To derive the grain size of the digital metallographic images, the digital image processing is applied to extract grain boundary by proposing a new edge detection algorithm based on the fuzzy logic. Extensive metallographic images with different qualities were tested to validate this method. Practical application use cases are presented here. The grain size is calculated in accordance with American Society for Testing Material (ASTM) standards.

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張利欣,魏帥嶺,徐正光,王美玲,任學(xué)沖.基于模糊算法的7050鋁合金微觀結(jié)構(gòu)自動(dòng)分析[J].稀有金屬材料與工程,2016,45(3):548~554.[zhang lixin, Wei Shuailing, Xu Zhengguang, Wang Meiling, Ren Xuechong. Automatic microstructural analysis for 7050 Al alloy based on fuzzy logic method[J]. Rare Metal Materials and Engineering,2016,45(3):548~554.]
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  • 收稿日期:2014-01-12
  • 最后修改日期:2014-05-15
  • 錄用日期:2014-06-04
  • 在線發(fā)布日期: 2016-07-06
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