Results 71 to 80 of about 1,996 (186)
Continuous Cooling Transformation Curves of C-Mn-Si Series Super-Bainite Steel
Dilatation curves of C-Mn-Si series low carbon (/% : 0.11C , 1.15Si, 1.85Mn, 0.032A1, 0.003Ti, 0.002 4N) and medium carbon (/% : 0.35C, 1.1 ISi, 1.82Mn, 0.041 Al, 0.002Ti, 0.004 2N) bainite steel continuous cooling with cooling rate 0.5 ~ 30 ℃/s have ...
王凤琪 +4 more
doaj
Formation of bainite below martensite start temperature in quenching low carbon steel
According to the phase transformation kinetics that we recorded by dilatometry in rapid cooling of low carbon steel, some amount of isothermal bainite appeared in the middle of martensitic temperature range.
Zolotorevsky Nikolay +3 more
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Effect of Cooling Rate on Structure Evolution of Hot Deformed Ferrite-Bainite Micro Alloying Steel
Ferrite-bainite(F+B)microalloying steel0.06C-1.08Si- 1.64Mn-0.30Mo-0.039Nb-0.01Ti has been developed; continuous cooling transformation(CCT)diagram of 50% deformed test steel at 900 ℃ and with cooling rate 0.5~40 ℃/s was obtained ...
管丽, 刘雅政, 周乐育, 宋仁伯
doaj
A modified carbide-free bainite (CFB) steel has been developed, building on existing alloys for compatibility with commercial continuous annealing lines (CALs), featuring a low austenitization temperature and short overaging time.
Bahareh Mobedpour +2 more
doaj +1 more source
This study presents a methodology for analyzing bainitic microstructures in steel using image segmentation techniques and machine learning methods. Images of steel microstructures were processed using a superpixel segmentation algorithm, which generated ...
Tomasz Jażdżewski +3 more
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Effect of Ni Element in Self-Shielded Flux-Cored Wires on the Microstructural and Mechanical Property Evolutions of X80 Pipeline Steel Girth Welds. [PDF]
Jia S, Cui C, Mao C, Liu G, Liu Q.
europepmc +1 more source
Some Problems on Bainitic Transformation and Properties of Bainite
openaire +2 more sources
Process Optimization and Microstructure-Property Regulation of P20 Plastic Mold Steels. [PDF]
Zhao L +6 more
europepmc +1 more source
Prediction of Hole Expansion Ratio in Advanced High-Strength Steels Using Physics-Informed Machine Learning. [PDF]
Tiwari S +4 more
europepmc +1 more source

