Results 181 to 190 of about 1,211,951 (261)
Some of the next articles are maybe not open access.
Journal of Materials Science & Technology, 2021
Cold-drawn pearlitic steel wire is irreplaceably used in industry owing to its outstanding mechanical property which is dominated by the cementite/ferrite (Fe3C/Fe) interfaces in the material. However, the fine structures of the Fe3C/Fe interfaces in the
Y. T. Zhou +3 more
semanticscholar +1 more source
Cold-drawn pearlitic steel wire is irreplaceably used in industry owing to its outstanding mechanical property which is dominated by the cementite/ferrite (Fe3C/Fe) interfaces in the material. However, the fine structures of the Fe3C/Fe interfaces in the
Y. T. Zhou +3 more
semanticscholar +1 more source
On the formation of vacancies in α-ferrite of a heavily cold-drawn pearlitic steel wire
Scripta Materialia, 2011 Cold-drawn pearlitic steel wires are widely used in numerous engineering fields. Combining X-ray line profile analysis and positron annihilation spectroscopy methods, up to 10(-5)-10(-4) vacancies were found in a-ferrite of a cold-drawn pearlitic steel ...
Y Z Chen +2 more
exaly +2 more sources
Fatigue limit evaluation considering crack initiation for lamellar pearlitic steel
Procedia Engineering, 2011 In order to evaluate the fatigue limit of lamellar pearlitic steel used for railroad rails, tensile tests and fatigue tests are performed. Although the fatigue ratio of the lamellar pearlitic steel is lower than that of general steels, the reason for ...
Shigeru Hamada
exaly +2 more sources
, 2021
The present paper focuses on the microstructure-based cleavage crack propagation in a Charpy impact tested fully pearlitic steel by correlating microstructure and crystallography with the overall fracture behavior.
R. Barik +5 more
semanticscholar +1 more source
The present paper focuses on the microstructure-based cleavage crack propagation in a Charpy impact tested fully pearlitic steel by correlating microstructure and crystallography with the overall fracture behavior.
R. Barik +5 more
semanticscholar +1 more source
Steel Research International, 2021
In this article, different machine learning (ML) algorithms are provided to predict the transformation temperature of pearlite using relevant material descriptors, austenitizing temperature, and cooling rate.
Ling Qiao, Jingchuan Zhu, Yuan Wang
semanticscholar +1 more source
In this article, different machine learning (ML) algorithms are provided to predict the transformation temperature of pearlite using relevant material descriptors, austenitizing temperature, and cooling rate.
Ling Qiao, Jingchuan Zhu, Yuan Wang
semanticscholar +1 more source
Advanced Engineering Materials, 2021
Herein, attempts have been made to design and develop pearlitic steels for application in heavy‐haul rails. The hardness plays a vital role in studying the mechanical and tribological properties, which is theoretically related to the alloying composition
Ling Qiao, Jingchuan Zhu
semanticscholar +1 more source
Herein, attempts have been made to design and develop pearlitic steels for application in heavy‐haul rails. The hardness plays a vital role in studying the mechanical and tribological properties, which is theoretically related to the alloying composition
Ling Qiao, Jingchuan Zhu
semanticscholar +1 more source
Ultrasonic attenuation in pearlitic steel
Ultrasonics, 2014Expressions for the attenuation coefficients of longitudinal and transverse ultrasonic waves are developed for steel with pearlitic microstructure. This type of lamellar duplex microstructure influences attenuation because of the lamellar spacing. In addition, longitudinal attenuation measurements were conducted using an unfocused transducer with 10 ...
Hualong, Du, Joseph A, Turner
openaire +2 more sources
, 2021
The present study proposed an improved composition-structure-property model which incorporates physical features in the machine learning(ML) process.
Ling Qiao, Jingchuan Zhu, Yuan Wang
semanticscholar +1 more source
The present study proposed an improved composition-structure-property model which incorporates physical features in the machine learning(ML) process.
Ling Qiao, Jingchuan Zhu, Yuan Wang
semanticscholar +1 more source
Modeling of Alloying Effect on Isothermal Transformation: A Case Study for Pearlitic Steel
Advanced Engineering Materials, 2021Machine learning (ML) has been rapidly revolutionizing many fields and plays a vital role in materials science. To understand the microstructure of steels and even obtain optimized processing parameters, accurate predictions on the time–temperature ...
Ling Qiao, Jingchuan Zhu, Yuan-Hua Wang
semanticscholar +1 more source
Partially amorphous nanocomposite obtained from heavily deformed pearlitic steel
Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing, 2009 Cold-drawn pearlitic steel wires are known to exhibit increasing strength with increasing elongation and are therefore highly interesting for a wide field of engineering applications.
C Borchers +2 more
exaly +2 more sources