Physical Mechanism Interpretation of Polycrystalline Metals’ Yield Strength via a Data-Driven Method: A Novel Hall-Petch Relationship

2021 ◽  
Author(s):  
Lei Jiang ◽  
Huadong Fu ◽  
Hongtao Zhang ◽  
Jianxin Xie
Keyword(s):  
Yield Strength ◽  
Physical Mechanism ◽  
Data Driven ◽  
Petch Relationship ◽  
Polycrystalline Metals

A Homogenization-Based Prediction Method of Macroscopic Yield Strength of Polycrystalline Metals Subjected to Cold-Working

2010 ◽  
pp. 379-412 ◽  
Author(s):  
Kenjiro Terada ◽  
Ikumu Watanabe ◽  
Masayoshi Akiyama ◽  
Shigemitsu Kimura ◽  
Kouichi Kuroda
Keyword(s):  
Yield Strength ◽  
Cold Working ◽  
Prediction Method ◽  
Polycrystalline Metals

What is Behind the Inverse Hall-Petch Behavior in Nanocrystalline Materials?

2006 ◽  
Vol 976 ◽  
Author(s):  
Christopher Carlton ◽  
P. J. Ferreira
Keyword(s):  
Grain Size ◽  
Yield Strength ◽  
Strain Rate ◽  
Grain Boundaries ◽  
Nanocrystalline Materials ◽  
Critical Value ◽  
Petch Relationship ◽  
And Diffusion ◽  
Critical Grain Size

AbstractAn inverse Hall-Petch effect has been observed for nanocrystalline materials by a large number of researchers. This result implies that nanocrystalline materials get softer as grain size is reduced below a critical value. Postulated explanations for this behavior include dislocation based mechanisms and diffusion based mechanisms. In this paper, we report an explanation for the inverse Hall-Petch effect based on the statistical absorption of dislocations by grain boundaries, showing that the yield strength is both dependent on strain rate and temperature, and that it deviates from the Hall-Petch relationship at a critical grain size.

scholarly journals Coupling physics in machine learning to predict properties of high-temperatures alloys

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jian Peng ◽  
Yukinori Yamamoto ◽  
Jeffrey A. Hawk ◽  
Edgar Lara-Curzio ◽  
Dongwon Shin
Keyword(s):  
Machine Learning ◽  
High Temperature ◽  
Yield Strength ◽  
Strengthening Mechanism ◽  
Current Approach ◽  
High Impact ◽  
Data Driven ◽  
High Temperature Alloy ◽  
High Temperature Alloys ◽  
Verification Process

Abstract High-temperature alloy design requires a concurrent consideration of multiple mechanisms at different length scales. We propose a workflow that couples highly relevant physics into machine learning (ML) to predict properties of complex high-temperature alloys with an example of the 9–12 wt% Cr steels yield strength. We have incorporated synthetic alloy features that capture microstructure and phase transformations into the dataset. Identified high impact features that affect yield strength of 9Cr from correlation analysis agree well with the generally accepted strengthening mechanism. As a part of the verification process, the consistency of sub-datasets has been extensively evaluated with respect to temperature and then refined for the boundary conditions of trained ML models. The predicted yield strength of 9Cr steels using the ML models is in excellent agreement with experiments. The current approach introduces physically meaningful constraints in interrogating the trained ML models to predict properties of hypothetical alloys when applied to data-driven materials.

scholarly journals Evaluation of the partitioned mechanical properties and the hall-petch relationship of cast aluminum alloy cylinder head

2022 ◽  
Vol 355 ◽  
pp. 01003
Author(s):  
Kangjie Yan ◽  
Weiqing Huang ◽  
Zhengxing Zuo ◽  
Jinxiang Liu ◽  
Peirong Ren ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Aluminum Alloy ◽  
Yield Strength ◽  
Nonlinear Model ◽  
Cylinder Head ◽  
Floor Plate ◽  
Cast Aluminum Alloy ◽  
Cast Aluminum ◽  
Petch Relationship

In view of the non-uniform distribution of mechanical properties of cast aluminum alloy cylinder head, the mechanical properties evaluation and microstructure heterogeneity of cylinder head were studied. The results showed that the head plate position of the cylinder head has the best mechanical properties and microstructure characterization, followed by the floor plate and the thick partition plate. The mechanical properties of the floor plate position attenuate with increasing temperature. From 23°C to 300°C, the tensile strength and yield strength decrease in the same range, but the break elongation changes most obviously. The mechanical properties and microstructure characterization of cylinder head in-situ sampling satisfy the Hall-Petch relationship. If the required ultimate tensile strength is not less than 255MPa, the upper threshold of the grain size, by considering the error limit of the Hall-Petch relationship, is 603.4μm, and the upper threshold of secondary dendrite arm spacing is 69.1μm. Meanwhile, established the relationship between hardness and yield strength, the average error of the nonlinear model is 4.35%. The prediction accuracy of the nonlinear model is sufficient to meet the actual needs of the engineering.

A static and dynamic electron microscope study of slip propagation across grain boundaries in polycrystalline metals

1987 ◽  
Vol 45 ◽  
pp. 272-275
Author(s):  
William A. T. Clark
Keyword(s):  
Mechanical Properties ◽  
Electron Microscope ◽  
Grain Boundaries ◽  
Yield Stress ◽  
Microscope Study ◽  
Electron Microscope Study ◽  
Direct Transmission ◽  
Petch Relationship ◽  
Polycrystalline Metals ◽  
Properties Of Materials

The deformation of polycrystalline metals proceeds by the movement of individual dislocations both within the grains and across the grain boundaries which separate them. It is therefore apparent that these grain boundaries have an important role in controlling the mechanical properties of materials. It is known, for example, that the yield stress is directly affected by the density of grain boundaries in a metal; in the familiar Hall—Petch relationship it is inversely proportional to the grain diameter. Various models have been proposed to account for this behaviour, all of which involve the interaction between dislocations and grain boundaries (for a review see e.g. ref. 1). Microscopically, these interactions can be accomplished by one of several different mechanisms, such as the nucleation of new dislocations, direct transmission of dislocations across the interface, the absorption and desorption of dislocations into and out of the interface, among others.

PENETRATION CONCRETE TARGETS EXPERIMENTS WITH NON-IDEAL & HIGH VELOCITY BETWEEN 800 AND 1100M/S

2008 ◽  
Vol 22 (09n11) ◽  
pp. 1087-1093 ◽  
Author(s):  
HAIJUN WU ◽  
YINAN WANG ◽  
FENGLEI HUANG
Keyword(s):  
Compressive Strength ◽  
Yield Strength ◽  
High Velocity ◽  
Unconfined Compressive Strength ◽  
High Speed ◽  
Physical Mechanism ◽  
Geological Materials ◽  
Compressive Strength Of Concrete ◽  
Striking Velocities ◽  
Concrete Target

In this paper, three types of projectiles were designed, which are based on the physical mechanism of high-speed penetrating into concrete targets. The three types of projectiles are ogive nose followed by cylinder, cone and grooved cone shank respectively, which are made of 30 CrMnSiNi2A with the yield strength 1570MPa. The unconfined compressive strength of concrete target for test is 50MPa. Seven experiments for striking velocities between 800 and 1100m/s were conducted. The experiments showed that the projectiles of cone and grooved cone shank have better penetration performances and the penetration channels were very straight. Compared with the cylinder shank projectiles, the cone and grooved cone shank projectiles are more effective under the condition of high velocity penetrating into complex geological materials as concrete or rock.

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