2021
DOI: 10.1007/s11665-021-06436-2
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Automated Grain Counting for the Microstructure of Mg Alloys Using an Image Processing Method

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Cited by 11 publications
(4 citation statements)
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“…The ductility of Mg-based materials increases with Zn content up to 2 wt.% but then decreases [15,16]. Sn forms the Mg 2 Sn phase, which refines and pins grain boundaries [17,18]. As the melting temperature of Mg 2 Sn is 770.5 • C, the mechanical strength of Mg alloy is expected to improve with increased amounts of this phase [19,20].…”
Section: Introductionmentioning
confidence: 99%
“…The ductility of Mg-based materials increases with Zn content up to 2 wt.% but then decreases [15,16]. Sn forms the Mg 2 Sn phase, which refines and pins grain boundaries [17,18]. As the melting temperature of Mg 2 Sn is 770.5 • C, the mechanical strength of Mg alloy is expected to improve with increased amounts of this phase [19,20].…”
Section: Introductionmentioning
confidence: 99%
“…Image processing is a technique that transforms the obtained image signals into a form that can be interpreted electronically (with the help of computers and software) with certain algorithms or a method used to extract some useful information from images [ 34 , 35 , 36 , 37 ]. Various measurement methods such as screen calipers, three-dimensional optical profilometers, image processing software, and machine learning algorithms are used to predict and measure slit and burr measurements [ 23 , 38 , 39 ].…”
Section: Introductionmentioning
confidence: 99%
“…The number of grains in a microstructure was calculated, and the ASTM grain size of Mg alloys was determined using computer vision technology. The success rate in the comparison of the grain numbers was found to be approximately 94% [33]. The tribological behavior of magnesium-strengthened fly ash cenosphere was studied, resulting in the conclusion that increasing reinforcement improved wear resistance [34].…”
Section: Introductionmentioning
confidence: 99%