Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures

DS Bulgarevich, S Tsukamoto, T Kasuya, M Demura… - Scientific reports, 2018 - nature.com
For advanced materials characterization, a novel and extremely effective approach of
pattern recognition in optical microscopic images of steels is demonstrated. It is based on …

A novel multi-step intercritical heat treatment induces multi-phase microstructure with ultra-low yield ratio and high ductility in advanced high-strength steel

ZJ Xie, G Han, WH Zhou, XL Wang, CJ Shang… - Scripta Materialia, 2018 - Elsevier
A significant volume fraction of 26% retained austenite was obtained via a two-step
intercritical treatment in a low carbon low alloy steel with ultra-high tensile strength of~ 1200 …

A deep learning-based method for segmentation and quantitative characterization of microstructures in weathering steel from sequential scanning electron …

B Han, W Wan, D Sun, C Dong, L Zhao… - Journal of Iron and Steel …, 2022 - Springer
Microstructural classification is typically done manually by human experts, which gives rise
to uncertainties due to subjectivity and reduces the overall efficiency. A high-throughput …

Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools

DS Bulgarevich, S Tsukamoto, T Kasuya… - … and technology of …, 2019 - Taylor & Francis
It is demonstrated that optical microscopy images of steel materials could be effectively
categorized into classes on preset ferrite/pearlite-, ferrite/pearlite/bainite-, and …

Atomistic simulations of hydrogen distribution in Fe–C steels

C Nowak, RB Sills, JA Ronevich… - International Journal of …, 2022 - Elsevier
To engineer low-cost Fe–C based steels for application in hydrogen energy technologies,
an understanding of the hydrogen distribution inside the material and how it is affected by …

The effect of cold-rolling prior to the inter-critical heat treatment on microstructure and mechanical properties of 4340 steel with ferrite–martensite microstructure

F Hosseinifar, A Ekrami - Materials Science and Engineering: A, 2022 - Elsevier
This study investigates the effect of cold rolling prior to inter-critical annealing on
microstructure and mechanical properties of ferrite-martensite dual phase steel. Samples …

Alternative approach for the intercritical annealing of (Cr, Mo, V)-alloyed TRIP-assisted steel before austempering

V Zurnadzhy, V Efremenko, I Petryshynets, M Dabalà… - Metals, 2022 - mdpi.com
TRIP-assisted C-Si-Mn steels are usually subjected to austempering with a preliminary
intercritical annealing that is targeted at the multi-phase structure with 40–60 vol.% of …

Enhancement of mechanical properties and corrosion resistance of bainitic elastic rail clip (ERC) with finer microstructural morphology

J Bhagyaraj, S Mukherjee, S Sangal… - Materials Today …, 2022 - Elsevier
Present work discusses the enhancement of hardness and tensile strength of the existing
quenched and tempered elastic rail clip (ERC) by modifying the microstructure to bainite via …

Nondestructive evaluation of hot stamping boron steel with martensite/bainite mixed microstructures based on magnetic Barkhausen noise detection

B Zhu, Z Xu, K Wang, Y Zhang - Journal of Magnetism and Magnetic …, 2020 - Elsevier
A nondestructive testing method based on magnetic Barkhausen noise (MBN) detection is
developed to evaluate the microstructural and mechanical properties of hot stamping boron …

Characterization of ductile fracture properties of quench-hardenable boron steel: Influence of microstructure and processing conditions

S Golling, R Östlund, M Oldenburg - Materials Science and Engineering: A, 2016 - Elsevier
Developments of the hot stamping technology have enabled the production of components
with differential microstructure composition and mechanical properties. These can increase …