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用于确定相比例和晶粒尺寸的镁铝锡合金微观结构图像处理及人工测量校正

Image Processing of Mg-Al-Sn Alloy Microstructures for Determining Phase Ratios and Grain Size and Correction with Manual Measurement.

作者信息

Ercetin Ali, Akkoyun Fatih, Şimşir Ercan, Pimenov Danil Yurievich, Giasin Khaled, Gowdru Chandrashekarappa Manjunath Patel, Lakshmikanthan Avinash, Wojciechowski Szymon

机构信息

Department of Mechanical Engineering, Faculty of Engineering and Architecture, Bingol University, Bingöl 12000, Turkey.

Department of Mechanical Engineering, Faculty of Engineering, Aydın Adnan Menderes University, Aydın 09010, Turkey.

出版信息

Materials (Basel). 2021 Sep 6;14(17):5095. doi: 10.3390/ma14175095.

Abstract

The study of microstructures for the accurate control of material properties is of industrial relevance. Identification and characterization of microstructural properties by manual measurement are often slow, labour intensive, and have a lack of repeatability. In the present work, the intermetallic phase ratio and grain size in the microstructure of known Mg-Sn-Al alloys were measured by computer vision (CV) technology. New Mg (Magnesium) alloys with different alloying element contents were selected as the work materials. Mg alloys (Mg-Al-Sn) were produced using the hot-pressing powder metallurgy technique. The alloys were sintered at 620 °C under 50 MPa pressure in an argon gas atmosphere. Scanning electron microscopy (SEM) images were taken for all the fabricated alloys (three alloys: Mg-7Al-5Sn, Mg-8Al-5Sn, Mg-9Al-5Sn). From the SEM images, the grain size was counted manually and automatically with the application of CV technology. The obtained results were evaluated by correcting automated grain counting procedures with manual measurements. The accuracy of the automated counting technique for determining the grain count exceeded 92% compared to the manual counting procedure. In addition, ASTM (American Society for Testing and Materials) grain sizes were accurately calculated (approximately 99% accuracy) according to the determined grain counts in the SEM images. Hence, a successful approach was proposed by calculating the ASTM grain sizes of each alloy with respect to manual and automated counting methods. The intermetallic phases (MgAl and MgSn) were also detected by theoretical calculations and automated measurements. The accuracy of automated measurements for MgAl and MgSn intermetallic phases were over 95% and 97%, respectively. The proposed automatic image processing technique can be used as a tool to track and analyse the grain and intermetallic phases of the microstructure of other alloys such as AZ31 and AZ91 magnesium alloys, aluminium, titanium, and Co alloys.

摘要

对微观结构进行研究以精确控制材料性能具有工业相关性。通过人工测量来识别和表征微观结构特性往往速度缓慢、劳动强度大且缺乏可重复性。在本工作中,利用计算机视觉(CV)技术测量了已知Mg-Sn-Al合金微观结构中的金属间相比例和晶粒尺寸。选择了具有不同合金元素含量的新型镁(Mg)合金作为工作材料。采用热压粉末冶金技术制备了镁合金(Mg-Al-Sn)。这些合金在氩气气氛中于620℃、50MPa压力下烧结。对所有制备的合金(三种合金:Mg-7Al-5Sn、Mg-8Al-5Sn、Mg-9Al-5Sn)拍摄了扫描电子显微镜(SEM)图像。从SEM图像中,通过应用CV技术手动和自动计算晶粒尺寸。通过用人工测量校正自动晶粒计数程序来评估所得结果。与人工计数程序相比,用于确定晶粒数的自动计数技术的准确性超过了92%。此外,根据SEM图像中确定的晶粒数准确计算了ASTM(美国材料与试验协会)晶粒尺寸(准确度约为99%)。因此,提出了一种通过相对于人工和自动计数方法计算每种合金的ASTM晶粒尺寸的成功方法。还通过理论计算和自动测量检测了金属间相(MgAl和MgSn)。MgAl和MgSn金属间相自动测量的准确度分别超过了95%和97%。所提出的自动图像处理技术可作为一种工具,用于跟踪和分析其他合金(如AZ31和AZ91镁合金、铝合金、钛合金和钴合金)微观结构中的晶粒和金属间相。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56fe/8434359/c8526718382f/materials-14-05095-g001.jpg

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