bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tailoring mechanical properties of Fe-32Mn-0.6C steel via deformation, dynamic recovery and recrystallization
Authors: Xiong J C , Liu E Z , Kong L , Qi X D , Yang H K , Zhang X D , Wang Y H 
Published: November 2023

Abstract
The microstructures and mechanical properties of Fe-32Mn-0.6C steel after deformation, dynamic recovery and recrystallization were investigated. Dynamic recovery occurred during rolling at 800°C, and fined subgrains formed at deformation introduced lamellar boundaries. During tensile deformation, a large amount of deformation twins is activated, leading to a high work-hardening. Compared to the cold-rolled and coarse-grained recrystallized samples, the 800°C rolled sample shows an improved combination of strength and ductility at both room temperature (RT) and liquid nitrogen temperature (LNT). Specifically, the yield strength and uniform elongation are 702 MPa and 61%, respectively, at RT and are 1013 MPa and 48%, respectively, at LNT.
Study on dynamic recrystallization of ultra-high strength 22MnB5 steel during hot rolling
Authors: Long M J , Zhang H H , Yang X H , Guo W , Ai S Y , Chen D F 
Published: November 2023

Abstract
The effect of deformation temperature and strain rate on the recrystallization behavior of ultra-high strength hot formed 22MnB5 steel was systematically studied by isothermal compression experiments, and the microstructure was characterized and analyzed. The results show that the peak stress and peak strain of 22MnB5 steel decrease with increasing deformation temperature and increase with increasing strain rate. The dynamic recrystallization of 22MnB5 steel is more sensitive to temperature and less affected by strain rate. The recrystallization behavior is significant during isothermal deformation above 1323 K. Based on the hyperbolic sinusoidal constitutive equation, the accurate prediction model of dynamic recrystallization grain size and a dynamic recrystallization critical strain model for 22MnB5 steel were established. The relationship between recrystallization austenite grain size and deformation temperature and deformation amount was obtained as follows: d=4.1×103[ε·exp(350.38/RT)]. The critical strains of complete recrystallization and complete non-crystallization at each deformation temperatures were determined by the critical strain model, which can provide a basis for the optimization design of rolling process parameters.
Dynamic recrystallization of Ti-6Al-4V alloy promoted by laser shock peening
Authors: Zhang L , Ouyang W T , Du Y X , Guo C H , Zhang W W 
Published: November 2023

Abstract
In this study, the influences of different numbers of passes of laser shock peening (LSP) on the surface microstructures of Ti-6Al-4V alloy were investigated. Especially, the microstructural evolution of the As-received (AR) sample and LSP treated samples was observed by scanning electron microscope (SEM) and electron backscatter diffraction (EBSD) observations. The results showed the grain size and the distribution of α, β phase have changed after the LSP process. After 1 LSP processing, the grain size is more uniform, the β phases were transformed from scattered and laminar characteristics to linear characteristics, while the α phases were parcelled by the β phases. After 2 LSP treatment, obvious grain refinement can be observed and the influence depth is deeper compared to the 1 LSP sample. After laser shock peeing processing, the material also has obvious dynamic recrystallization (DRX). Finally, the mechanism of microstructure evolution by LSP was revealed.
Σ3 grain boundary dynamics studied by atomistic spherical bicrystal modeling
Authors: Li R , Homer E R , Zhang Y , Jensen D Juul 
Published: November 2023

Abstract
In this study, we propose an atomistic spherical bicrystal model that employs the synthetic driving force method to investigate the dynamics of curved interfaces. The model allows tracking the migration and faceting of spherical grain boundaries. As a demonstration case, a simulation for a grain boundary with Σ3 misorientation is performed. A subsequent analysis of interface energy and stiffness is performed, whereby it is found that the dynamics of [111] and

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1
¯

1
¯

2
]

segments in the Σ3 boundary plane fundamental zone follow energy and stiffness trends, while others, e.g., the

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0

1
¯

1
]

segment, do not.
The influence of cooling rate on microstructure and magnetic properties of cast Fe-6.5wt%Si steel
Authors: Zhang J , Liu K , Sun F , Liu R , Wu G , Wang M , Gu S , Zhu Z , Mao X 
Published: November 2023

Abstract
Fe-6.5wt%Si steel samples of different thicknesses (1 mm, 2 mm, and 5 mm) were prepared by arc-melting and suction-casting with sub-rapid solidification rates. The microstructures and magnetic properties of the samples were studied, and the effect of solidification rates were discussed. Results show that columnar crystals are generated with a <100> fiber texture after casting. Ordered phases B2 and D03 are inhibited by sub-rapid solidification, and such an effect is clear in the 1 mm thick sample with the largest cooling rate. With decreasing cooling rate, the grain size increases, with the mean values being 66.6±30.8 μm, 93.0±42.8 μm, and 149.7±66.8 μm, and the intensity of the <100> texture increases, with the values being 3.14 mrd, 3.56 mrd, and 5.85 mrd, respectively. The 5 mm thick sample with the lowest cooling rate exhibits the best magnetic properties (B8=1.30 T, B50=1.55 T, P1/50=2.19 W/kg, P1/400=37.85 W/kg).
Microstructural path modeling of primary recrystallization
Authors: Vandermeer R A , Jensen D Juul 
Published: November 2023

Abstract
While the classic KJMA model is frequently used to fit experimental recrystallization kinetics data, the fitted values in most cases are inconsistent with the observed microstructural evolution. In this paper, we review the much more powerful microstructural path modeling (MPM) methodology. A basic assumption in this next generation of recrystallization models is related to the spatial distribution of nucleation sites, which may be uniform in the mathematical sense, i.e. randomly distributed in the sample volume, or clustered either along lines or on planes. For example nuclei are often observed to be linearly aligned because they have formed along original grain boundaries or stringers of second phase particles in the deformed matrix. In this paper, we present a new MPM, which is extending the former idealized linear MPM, allowing the recrystallizing grains to grow with different speeds in different directions, thus becoming prolate spheroid shaped. Finally issues concerning experimental determination and analysis of growth rates, are discussed.
Modeling the hot deformation behavior of micro-alloyed steel in the single and two-phase fields
Authors: Sharifi S S , Buzolin R H , Bakhtiari S , Gontijo M , Sommitsch C , Poletti M C 
Published: November 2023

Abstract
Continuous casting is a well-established process to produce steel slabs. However, the surfaces of the slabs may crack during processing. The occurrence of cracks is related to different phenomena, i.e., ferrite formation, presence of precipitates, and microstructural modifications during manufacturing processing. In the present work, we developed a physically based mesoscale model to describe the plastic deformation of micro-alloyed steel in the single and two-phase fields, as well as the microstructure evolution. We implemented a dislocation density-based constitutive model to calculate the strain hardening and the stress softening produced by dynamic recovery using the Kocks-Mecking (KM) formalism for the austenite and ferrite. We coupled the KM model with the Johnson-Mehl-Avrami-Kolmogorov model to consider the dynamic recrystallization of the austenitic phase. The nucleation and growth of the recrystallized grains, driven by the stored energy, compete with the annihilation of dislocations due to dynamic recovery. In the two-phase domain, the iso-work condition for the load partition is implemented. We calculated the ferrite volume fraction by fitting the data obtained using JmatPro software. Moreover, an Arrhenius-type equation correlates the yield stress to the Zener-Hollomon parameter. We validated the model with isothermal uniaxial compression tests of microalloyed steel over the temperature range of 650 °C-1100 °C and strain rates of 10−2 s−1 and 10−3 s−1 using a Gleeble® 3800 thermomechanical simulator.
The effect of subgrain mobility on recrystallization kinetics: phase-field simulation study
Authors: Abramova O , Prahs A , Schneider D , Nestler B 
Published: November 2023

Abstract
The influence of grain boundary mobility on the recrystallization process (ReX) was investigated in this study using the phase-field approach. In accordance with the Read-Shockley equation, for the interfacial mobility as a function of the misorientation angle, the resulting microstructural evolution was studied. It was observed that the disappearance of low-angle grain boundaries (LAGBs) during the ReX process caused high-angle grain boundaries to move faster during the subsequent ReX stages. For materials with high stacking energy, such as aluminum, LAGBs were additionally found to play a significant role in the ReX process. The kinetics of the ReX process, coupled with grain growth, showed the typical behavior observed in fine-grained structures of pure aluminum.
Effect of boundary grooving on grain growth by Potts model simulations
Authors: Zöllner D , Pantleon W 
Published: November 2023

Abstract
Grain growth in thin films is a technologically important and scientifically fascinating topic: As the grain size influences many mechanical and optical properties of a material, any change in the grain structure and therewith in the grain size changes also the materials properties. There are many factors influencing coarsening of the microstructure such as grain boundary properties or the presence of particles; additionally the film thickness becomes rather important. It has been observed that when the grain size reaches the magnitude of the layer thickness, coarsening slows down and may even stagnate. For thin films, surface effects such as grain boundary grooving become important. In general, grooves are totally left out of implementations in the standard Potts model. In the current investigation, we introduce grain boundary grooves in the Potts model as physical entities. In the analysis, we show how the mere presence of such grooves reduces the driving force of grain boundary migration at the surface tremendously at any stage of coarsening.
Abnormal grain growth in thin copper foils during high-temperature annealing
Authors: Guo J , Zhang C L , Li X , Huang T L , Wu G L , Shi H F , Jensen D Juul , Huang X X 
Published: November 2023

Abstract
We investigate grain growth at 1000 °C, a critical temperature for abnormal grain growth in copper foils. By ex-situ annealing experiments at 1000 °C, it is found that abnormal grains grow through the entire sample thickness, forming a polycrystalline structure with a single layer of grains. The migration of the boundaries surrounding the abnormally large grains are characterized by optical microscopy and electron backscatter diffraction. The migration rates are found to vary significantly from place to place, which is analysed based on boundary characteristics, i.e., misorientation and boundary curvature, and the size distribution of the neighbouring grains.
Annealing behavior of AlSi10Mg alloy fabricated by laser powder bed fusion
Authors: Chen S Q , Huang X Y , Shuai L F , Wu G L , Huang T L , Huang X X 
Published: November 2023

Abstract
The AlSi10Mg alloy fabricated by laser powder bed fusion was subjected to isochronal annealing for 2h at temperatures in the range of 100–520 °C. Recovery and grain growth of the annealed samples were investigated by combining EBSD and in situ TEM techniques. A bimodal grain size distribution with grain sizes of 0.9 μm and 2.3 μm was developed in the initial sample, where large grains were found in the interiors of melt pools and most of small grains were distributed along melt pool boundaries. In-situ TEM investigations revealed that nucleation that occurs at the melt pool boundaries is as a consequence of migration of high angle boundaries during annealing. A slight increase in grain sizes was discovered during high-temperature heat treatment, indicating the remarkable thermal stability of the alloy compared to conventional cast Al-Si alloys. This is explained by the fact that the stable eutectic Si structure, which was originally formed during rapid solidification, can effectively retard grain boundary migration during recrystallization.
TEM observations of variation of dislocation cell structures along the building direction in SLM-316L stainless steel
Authors: Fan J M , Wang W Y , Zhu Y Y , Liu Q , Chen S Q , Godfrey A , Che H Q , Huang X X 
Published: November 2023

Abstract
Ultra-fast cooling and cyclic thermal heating associated with the additive manufacturing by selective laser melting (SLM) often lead to the formation of multi-scale microstructures in manufactured metallic materials. It has been frequently reported that a dislocation cell structure develops within the grains in SLM-316L stainless steels (ss), which has important effects on their mechanical properties and thermal stability. However, the formation mechanism of the dislocation cell structure is still under debate. In this study, we used transmission electron microscopy (TEM) techniques to characterize the variation of dislocation structures along the building direction in a SLM-316L ss sample. It exhibits various dislocation structures in the very surface melt pools. The distribution of dislocations at shallower locations is relatively discrete. While the dislocation cell structures are completely formed at deeper locations, which are similar to the bulk interior of the sample. The thermal cycle is not the main contribution to the formation of dislocation cell structures, but plays the role in enhancing the annihilation of dislocations inside the cells and sharpening the cell boundaries.
Microstructural and textural gradients in SLM-manufactured AlSi10Mg after low-draught cold-rolling and heat treatment
Authors: Liao Z , Zhang L , Huang X , Jensen D Juul 
Published: November 2023

Abstract
Additively manufactured AlSi10Mg is often subject to a two-stage heat treatment, namely solid solution treatment followed by artificial aging, to achieve optimal properties. Before such heat treatments, slight surface plastic deformation may be applied to modify the surface quality and properties. However, gradients in microstructure and texture near the surface introduced by the plastic deformation may cause undesired microstructural and textural evolutions during subsequent heat treatment. In this work, we introduce plastic deformation in the surface layer in an SLM-manufactured AlSi10Mg sample by relatively low-draught cold rolling and we investigate the through-thickness variations in microstructure and texture in the deformed state and after heat treatment. The SLM-manufactured AlSi10Mg sample has a fine-scale microstructure and a weak texture, and is rather thermally stable during subsequent heat treatments. Applying 10% low-draught cold rolling to the SLM-manufactured AlSi10Mg sample is found to introduce a near Goss texture in the surface layer, while little change is observed in the center layer. After subsequent solution treatment and aging, abnormal grain growth occurred in the surface layer resulting in remarkable through thickness gradients in microstructure and texture.
In situ measurement of austenite grain growth and recrystallization using laser ultrasonics
Authors: Lin Minghui , Roy Sabyasachi , Militzer Matthias 
Published: November 2023

Abstract
The development of next generation process models and advanced high-strength steel products for thin slab casting and direct rolling requires quantification of microstructure evolution during thermomechanical processing. Laser ultrasonics is a non-contact in-situ method to record grain growth, recrystallization and phase transformations in metals and alloys. Here, we will present an improved experimental design that facilitates a continuous microstructure measurement through the various stages of simulated hot rolling from reheating to runout table cooling using a Gleeble thermomechanical simulator equipped with a laser ultrasonics for metallurgy (LUMet) system. Austenite grain growth and static recrystallization after hot deformation are quantified based on attenuation of the ultrasound waves whereas austenite decomposition can be recorded with the changes in ultrasound velocity during the phase transformation. Further, the LUMet results for a microalloyed low carbon steel are validated with conventional techniques including optical and electron microscopy as well as double-hit tests. These experimental studies demonstrate the capabilities of laser ultrasonics in the identification of both normal and abnormal grain growth, non-recrystallization temperature, recrystallization, and austenite decomposition kinetics in a single test for a given processing path, as well as its potential for accelerated optimization of process control under industrial rolling conditions.
Multiobjective Optimization Design of a Brushless Excitation Synchronous Motor Based on the Taguchi Method
Authors: Sun Chuanhui , Xu Yufa 
Published: November 2023

Abstract
Considering the issue of significant total harmonic distortion in the no-load back electromotive force (EMF) and torque ripple of a brushless excitation synchronous motor (BESM) used in a compressor, a multiobjective optimization design method of a BESM based on the Taguchi method was proposed. By selecting the polar arc coefficient, stator slot width, damping winding pitch, and air gap length as the optimization parameters, the maximum no-load back EMF, minimum back EMF total harmonic distortion rate, and minimum torque ripple are selected as the optimization objectives. Then, the Taguchi method was employed to construct an orthogonal table to enhance the performance of the optimization objectives. This approach facilitated the determination of the optimal parameter combination for optimization. Finally, the simulation results indicate significant enhancements in each optimized aspect of the motor’s performance following the optimization process. This outcome serves as validation for the efficacy of the Taguchi method in achieving an optimal design for the BESM.
Real-time Lightweight Target Detection Network under Autonomous Driving
Authors: Zheng Quanfeng , Xu Shuobo , Liu Chunling , Li Yanshun , He Qiang 
Published: November 2023

Abstract
Target detection in traffic scenes has been a focal point concerning computer vision, especially in the context of autonomous driving, including the recognition of vehicles, pedestrians, and traffic signs. However, the computational power of devices operating in traffic scenarios is limited, placing stringent demands on computational resources and latency. To address these challenges, this study proposed a lightweight detection algorithm, GV2-YOLO, which prioritizes both speed and accuracy. First, we apply the GhostNetv2 architecture and incorporate the Ghost module to decrease the parameters of the backbone feature extraction network. Second, the algorithm also integrates SPPF and Slim-neck by GSConv techniques, which effectively reduces the computational complexity while ensuring the resulting significant reduction in detection accuracy. Our proposed algorithm achieves a mAP of 84.7% on the CCTSDB dataset. The algorithm has a total parameter count of 9.1 M, making it ideal for deployment in embedded autonomous driving platforms.
Binary Tree Algorithm-based Fault Location Method for Tripping in Ultra-high Voltage Substations
Authors: Zhou Lihui , Shen Yu , Zhang Song , Li Haiyu , Ni Jiayang 
Published: November 2023

Abstract
The current conventional method for fault location in substations involves using a mathematical model to convert the problem into a parameter identification problem. However, this approach often yields poor results due to the lack of characterization of fault features. To address this, a new fault location method for tripping faults in Extra High Voltage (EHV) substations is proposed. This method utilizes a binary tree algorithm to construct a fault binary tree and encode the nodes to accurately characterize the fault characteristics. Using this information, a fault location model is developed. Experimental verification confirms the effectiveness of the proposed method, with analysis showing its ability to successfully locate tripping faults in EHV substations with high convergence and superior accuracy.
Design of T-shaped non-uniform microstrip lines for reducing crosstalk in high-speed PCBs
Authors: Dong Weijie , Duan Hanqing , Xie Yongping 
Published: November 2023

Abstract
High-speed and high-density PCB circuit layout design faces serious signal integrity problems. Crosstalk is one of the key problems affecting signal quality. Periodic non-uniform differential microstrip lines have the possibility of reducing crosstalk. This paper proposes a T-shaped non-uniform microstrip line, which adds the T-shaped bump on the inner side of the parallel microstrip lines. The microstrip line adopts the minimum batch production process linewidth to maintain high density, which is suitable for occasions where the line spacing is three times the linewidth. The principle of crosstalk mitigation for T-shaped microstrip lines is explained, and the evolution process of T-shaped microstrip lines is given, compared with parallel microstrip lines and tabbed lines with the same density. The simulation resulting in the time domain and frequency domain shows that the transmission performance of the T-shaped microstrip line is good, and crosstalk can be effectively suppressed in a high-frequency band, even better in some specific frequencies due to the crosstalk fluctuation with frequency.
Research on Feature Extraction of Underwater Acoustic Target Radiation Noise Based on Machine Learning Algorithm
Authors: Liu Cong , Han Dong , Zhang Xinyang , Li Ning 
Published: November 2023

Abstract
Underwater acoustic target recognition is a very important technology in the field of underwater acoustics, with great economic and military value. Feature extraction technology for underwater acoustic target radiation noise signals is the key to achieving acoustic target recognition. This study aims at the feature extraction task of acoustic targets and extracts 10 types of 252-dimensional feature vectors from three domains: time domain, frequency domain, and auditory domain. Through 7 machine learning algorithms for classification and recognition experiments, the experimental results show that the recognition performance of the ensemble classifier is much better than that of a single classifier. For different types of features, this study combines three ensemble learning algorithms and feature selection algorithms to select the original 252-dimensional features. The feature selection experiment shows that the wrapper feature selection algorithm has the best effect, and the feature vector dimension can be reduced to 40 dimensions. The recognition accuracy rate is not less than 92.8%, which provides feature extraction guidance for acoustic target recognition based on feature extraction.