کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5454873 1514358 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Digital identification scheme for steel microstructures in low-carbon steel
ترجمه فارسی عنوان
طرح شناسایی دیجیتال برای میکروارگانیسم های فولادی در فولاد کم کربن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد دانش مواد (عمومی)
چکیده انگلیسی
This study proposes a scheme for digital identification of a steel microstructure based on crystallographic features. A 2D space for classifying mixed microstructures of bainite and martensite formed by seven different thermal cycles is defined using two dimensions related to variants in Kurdjumov-Sachs orientation relationships and dislocations. As a dimension relating to variants, the minor variant pair characterized by a rotation axis of 〈011〉 and a rotation angle of 52° is most useful in classifying the steel microstructure. Furthermore, the kernel average misorientation also served as a suitable dimension for the 2D space. The reasons for using the minor variant pair to classify steel microstructures are discussed from the viewpoint of phase transformation phenomena. The present study demonstrates the possibility for steel microstructures to be digitally identified.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials Characterization - Volume 129, July 2017, Pages 305-312
نویسندگان
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