Article
Materials Science, Multidisciplinary
Filipe Moreira, Pedro M. M. Ferreira, Rui J. C. Silva, Telmo G. G. Santos, Catarina Vidal
Summary: This research investigated the feasibility of producing surface composites of aluminium-based dissimilar alloys reinforced with functional microparticles and enhanced the understanding of Upward Friction Stir Processing (UFSP) technology. The results showed that UFSP can achieve a homogeneous incorporation of SiC particles in aluminium-based dissimilar alloys surface composites.
Article
Crystallography
Majed Mohammed Hotami, Shengyuan Yang
Summary: This study aims to discover and select the appropriate friction stir processing settings for improving the performance of aluminum alloy 7075 surface composites with the addition of three unique nanoparticles (TiO2, B4C, and graphene). The findings indicate that high rotational speeds and suitable processing parameters can decrease surface roughness and granule distributions while increasing surface micro-hardness.
Review
Materials Science, Multidisciplinary
Hamed Mirzadeh
Summary: This monograph provides an overview of friction stir processing (FSP) of surface metal-matrix composites (MMCs) using AZ91 magnesium alloy, summarizing the results related to various reinforcing particles and explaining the AZ91 composite fabricating methods based on FSP. The effects of introducing second-phase particles and FSP process parameters on the microstructural modification, mechanical properties, wear/tribological behavior, and corrosion resistance are discussed. Furthermore, suggestions for future work, such as focusing on superplasticity, metal additive manufacturing processes, and common reinforcing phases, are proposed.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Xiao Yang, Hongxia Zhang, Peng Dong, Zhifeng Yan, Wenxian Wang
Summary: High-entropy alloy particles were used as reinforcement for aluminum matrix composites in this study, resulting in enhanced mechanical properties due to the formation of strong and ductile interfaces. Both brittle and ductile fracture characteristics were observed on the surface of the particles.
MATERIALS CHARACTERIZATION
(2022)
Review
Engineering, Manufacturing
Shalok Bharti, Nilesh D. Ghetiya, Kaushik M. Patel
Summary: This review paper extensively studied the manufacturing of surface composites by Friction Stir Processing (FSP), providing detailed insights on the working mechanism of FSP, factors affecting FSP, and the impact on different properties. It discussed the changes in hardness, wear, corrosion, and tensile strength during the manufacturing process, and suggested future research directions in the area.
MATERIALS AND MANUFACTURING PROCESSES
(2021)
Article
Chemistry, Physical
Essam R. I. Mahmoud, Hamad Almohamadi, Abdulrahman Aljabri, Sohaib Z. Khan, Ahmad N. Saquib, Mohammed Farhan, Mohammed Abdel-Ghani Elkotb
Summary: Friction Stir Processing (FSP) was utilized to fabricate a metal matrix composite reinforced with nano-sized yttrium oxide powder. After two passes under specific conditions, defect-free composite materials with homogenously distributed particles were obtained, resulting in almost double the hardness and tensile strength of the base metal, with refined matrix grains. However, the ductility and toughness of the composite materials were reduced compared to the base metal.
Article
Materials Science, Multidisciplinary
Gh Asrari, M. H. Daneshifar, S. A. Hosseini, M. Alishahi
Summary: This study demonstrated the fabrication of an Al-Mg solid solution layer on a pure Al substrate using friction stir selective alloying, resulting in significantly increased hardness compared to the original sample.
Article
Chemistry, Physical
Pragya Saxena, Arunkumar Bongale, Satish Kumar, Rangappa Suresh
Summary: The hardness and wear behaviors of Al6061-based surface composites prepared by the friction stir process (FSP) were investigated and compared. It was found that various parameters such as FSP tool geometry, reinforcement composition, number of FSP passes, and pin load influenced the wear rate and hardness of the composites. The optimal composition of copper and graphene reinforcements as well as the FSP pass numbers were identified to have significant effects on the wear and hardness properties of the composites.
Article
Automation & Control Systems
Jingming Tang, Qichao Deng
Summary: The influence of pre-implanted reinforced particles on the temperature and flow fields in the processed zone of friction stir processed aluminum matrix composites was studied. Experimental measurement and numerical simulation were used to obtain the temperature distribution in the processed zone. The effect of SiC particles as reinforced particles on the flow of plastic materials during the process was investigated. The study also discussed the refinement, particle size, and distribution of the SiC particles in the processed zone, as well as the microhardness of the processed zone.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Xiaopeng Li, Zeyu Zhang, Yong Peng, Dejun Yan, Zhanqiu Tan, Qi Zhou, Kehong Wang
Summary: This study successfully prepared nano-Al4C3 reinforced aluminum matrix composites through friction stir processing, which improved the ductility of the composite while maintaining the original strength. The main strengthening mechanisms include a strong Al4C3-Al interface, homogeneous dispersion, nano size, and dynamic recrystallization during FSP.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Review
Engineering, Manufacturing
Huijie Zhang, Baoxin Zhang, Qiuzhi Gao, Jianling Song, Guoliang Han
Summary: Graphene is an ideal reinforcement for the fabrication of aluminum matrix composites (AMCs), and Friction Stir Processing (FSP) is an ideal candidate for producing high-performance graphene-reinforced AMCs. The addition of graphene affects the structure and properties evolution of AMCs, while process conditions and microstructure evolutions also play a critical role in determining the properties of the composites.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Chemistry, Physical
Peng Han, Wen Wang, Zhihao Liu, Ting Zhang, Qiang Liu, Xiaohu Guan, Ke Qiao, Dongming Ye, Jun Cai, Yingchun Xie, Kuaishe Wang
Summary: In this study, a novel Al matrix composite reinforced by CoCrFeNi HEA particles was fabricated for the first time using cold spray and subsequent friction stir processing. The microstructure and mechanical properties of the composites were examined, and the results showed that the FSPed samples exhibited improved properties compared to the CSed samples, with refined particle size, optimized grain size, and enhanced interfacial bonding.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Engineering, Mechanical
Abhishek Kumar Singh, Lalit Kaushik, Jaiveer Singh, Hrishikesh Das, Mounarik Mondal, Sung-Tae Hong, Shi-Hoon Choi
Summary: The microstructure, texture, and deformation history of friction-stir-processed commercially pure titanium were investigated. It was found that a equiaxed submicron grain microstructure developed in the stir zone, and the texture evolution was highly dependent on the thermo-mechanical history. Prismatic and pyramidal slip systems and compression twinning were found to be the dominant deformation modes in the stir zone.
INTERNATIONAL JOURNAL OF PLASTICITY
(2022)
Article
Crystallography
Abdulla I. Almazrouee, Khaled J. Al-Fadhalah, Saleh N. Alhajeri
Summary: Friction stir processing is a green fabrication technique that can be used for the development of surface composites. Through the use of specific tool parameters, sufficient mixing and uniformity can be achieved, leading to a remarkable increase in hardness of the composite layer.
Article
Engineering, Mechanical
C. J. AnandhaKumar, S. Gopi, S. Shashi Kumar, Dhanesh G. Mohan
Summary: Friction stir processing was successfully applied to fabricate aluminium hybrid surface composites with reinforcement particles like Al2O3, BN, Gr, and B4C. The microstructure showed homogeneous dispersion of reinforcement particles with good interfacial bonding. Surface composites with B4C and Al2O3 combinations exhibited superior mechanical properties and wear resistance compared to other combinations. XRD analysis indicated the absence of secondary phases or intermetallic compounds in the processed zone.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2021)
Article
Materials Science, Multidisciplinary
Lei Luo, Zhiyi Liu, Song Bai, Jing Cao, Fei Liu, Linnan Ou, Juangang Zhao
Summary: This study investigates the microstructures and mechanical properties of a hot extruded Al-Zn-Mg-Cu alloy pipe with variable cross-section. It is found that the changes in hot deformation degrees contribute to the variable temperature distribution along the extrusion direction. The profiles of the extruded pipe exhibit dynamic recovery (DRV), partial dynamic recrystallization (DRX), and an exponential increase in high-angle grain boundaries fraction.
METALS AND MATERIALS INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Chen Zhang, Lei Luo, Bingwei Chen, Wei Chen
Summary: The study investigated the effect of different coatings on the wear of the piston-cylinder system. The results showed that the graphite coating had the least improvement, the MAO coating caused serious wear in the face contact friction pair, while the HA coating exhibited good wear resistance in both line contact and face contact friction pairs.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2022)
Article
Energy & Fuels
Chen Zhang, Lei Luo, Wei Chen, Fei Yang, Gang Luo, Junming Xu
Summary: Experimental results show that using bio-jet fuel as a substitute for RP-3 jet fuel is feasible, although knock combustion is more likely to occur at large throttle openings, requiring cooling air to reduce the heat generated from spontaneous combustion.
Article
Automation & Control Systems
Bo Li, Wei Zhang, Fuzhen Xuan
Summary: This study used machine learning to optimize the selective laser melting (SLM) process in metal additive manufacturing. By employing feature dimension ascending and introducing a random forest algorithm, the relative densities of SLM parts were successfully predicted. This strategy can replace tedious experiments and destructive testing to quickly find the optimal SLM process parameters.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Bo Li, Wen Liang, Facai Ren
Summary: This research demonstrates that electrohydrodynamic inkjet printing can improve the sensitivity of flexible pressure sensors by directly writing AgNPs patterns on the substrate. The introduction of multilayered structures and the use of soft packaging material enhance the sensing performance. The study compares different sensor structures and presents applications of the sensors.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Hangcheng Dong, Jingxiao Liao, Yang Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu
Summary: In this work, the authors study the 1-D optimal piecewise linear approximation problem and propose a lattice neural network (LNN) method to solve it. They characterize the optimal solution and demonstrate the competitiveness of the LNN method through experiments.
Article
Chemistry, Analytical
Xiaobei Liang, Jinyong Yao, Lei Luo, Wenzhao Zhu, Weifang Zhang, Yanrong Wang
Summary: This paper proposes a new proportional FxRLS (PFxRLS) algorithm to solve the sensitivity and tracking performance limitations of the traditional FxRLS algorithm. The algorithm successfully reduces the sensitivity to user-defined parameters and improves robustness and denoising performance through the introduction of momentum technique.
Article
Chemistry, Physical
Lei Luo, Zhongde Shan, Haoqin Yang, Yanqing Su, Liangshun Luo, Liang Wang, Jingjie Guo, Hengzhi Fu
Summary: This study uses a combination of travelling magnetic fields and sequential solidification to optimize the Ni-rich intermetallic in Al-Cu-based alloys with high Ni content, improving their performance at both room and elevated temperatures.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Polymer Science
Bo Li, Jianrui Zhang, Tianxiang Deng, Facai Ren
Summary: A convertible thermal meta-structural device was designed and fabricated to demonstrate multiple heat-flow manipulations using a single device. The device consisted of discrete square unit modules with different materials, allowing for different thermal manipulation functions through unique geometric designs within each module. By rotating and arranging the modules, the device achieved convertibility among different thermal manipulation functions.
Article
Engineering, Manufacturing
Yinan Chen, Bo Li, Bo Chen, Fuzhen Xuan
Summary: This study investigated the microstructural evolution of a laser powder bed fusion (L-PBF) additively manufactured quaternary CoCrFeNi high-entropy alloy (HEA) under high-cycle fatigue conditions. Deformation twinning was observed under high-cycle fatigue, leading to cyclic softening and increased hardness. The formation of nano-twins involved the dissociation of full dislocations to partial ones. High-resolution TEM revealed the presence of full dislocations, lattice distortion, stacking faults, and partial dislocations associated with the twin structure.
ADDITIVE MANUFACTURING
(2023)
Article
Engineering, Multidisciplinary
Jing-Xiao Liao, Hang-Cheng Dong, Lei Luo, Jinwei Sun, Shiping Zhang
Summary: We propose a novel multi-objective criterion that combines kurtosis and G-l1/l2 norm to improve the global optimality of blind deconvolution methods. By introducing a multi-task 1DCNN with two branches, we optimize the criterion in both time and frequency domains simultaneously. Experimental results show that our method outperforms other state-of-the-art blind deconvolution methods.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Biology
Xiao-Cong Zhong, Qisong Wang, Dan Liu, Jing-Xiao Liao, Runze Yang, Sanhe Duan, Guohua Ding, Jinwei Sun
Summary: In this paper, a deep domain adaptation framework with correlation alignment (DDAF-CORAL) is proposed to address the problem of distribution divergence in motor imagery classification across domains.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Jing-Xiao Liao, Hang-Cheng Dong, Zhi-Qi Sun, Jinwei Sun, Shiping Zhang, Feng-Lei Fan
Summary: Bearing fault diagnosis is crucial for reducing damage risk and improving economic profits of rotating machines. Machine learning, particularly deep learning, has advanced in this field, but faces challenges in effectiveness and interpretability. To address this, a convolutional network with quadratic neurons is proposed to handle noisy bearing data, and an attention mechanism called "qttention" is derived to improve interpretability. Experiments show that the proposed network facilitates effective and interpretable bearing fault diagnosis. The code is available at https://github.com/asdvfghg/QCNN_for_bearing_diagnosis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Materials Science, Multidisciplinary
Tao Shen, Wei Zhang, Bo Li
Summary: This study integrates machine learning and feature engineering techniques to predict the density of LPBF-built components and the fatigue life of LPBF-built alloys. The MLP model shows higher efficiency and accuracy in prediction. These approaches provide valuable insights into addressing the challenges of LPBF manufacturing.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Kuan Ju, Shuo Weng, Chun Li, Lihui Zhao, Bo Li, Yue Hu, Yang Gao, Fuzhen Xuan
Summary: This paper presents an intelligent monitoring method for continuous monitoring of dynamic load parameters and load recognition in hydrogen-based fuel cell vehicles (HFCVs) using carbon-based strain sensor, data acquisition and wireless transmission embedded unit, and machine learning. The research shows that this method can effectively recognize different road conditions and optimize the structure of the deep neural network.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Nanoscience & Nanotechnology
Ahmad Mirzaei, Peter D. Hodgson, Xiang Ma, Vanessa K. Peterson, Ehsan Farabi, Gregory S. Rohrer, Hossein Beladi
Summary: This study investigated the influence of parent austenite grain refinement on the intervariant boundary network in a lath martensitic steel. It found that refining the parent austenite grain led to a decrease in the fraction of certain boundaries in the martensite and an increase in the connectivity of low energy boundaries, ultimately improving the impact toughness.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
N. L. Church, C. E. P. Talbot, L. D. Connor, S. Michalik, N. G. Jones
Summary: Metastable beta Ti alloys based on the Ti-Nb system have attracted attention due to their unique properties. However, the unstable cyclic behavior of these alloys has hindered their widespread industrial use. Recent studies have shown that internal stresses, including those from dislocations, may be responsible for this behavior. This study demonstrates that inter-cycle thermal treatments can mitigate the unstable cyclic behavior, providing a significant breakthrough in our understanding of Ti-Nb superelastic materials.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Di Zhao, Chenchen Zhao, Ziyang Xiu, Jiuchun Yan
Summary: This study proposes a novel strategy for achieving the bonding of SiC ceramic and Al alloy using ultrasound. The ultrasound promotes the dissolution of Al into the solder, activating the solder and triggering the interfacial reaction between SiC ceramic and solder. With increasing ultrasonic duration, the bonding between SiC and Al transitions from partial to full metallurgical bonding.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Kang Du, Yang Zhang, Guangda Zhao, Tao Huang, Liyuan Liu, Junpeng Li, Xiyu Wang, Zhongwu Zhang
Summary: This paper systematically investigated the evolution of microstructure in Fe-Ni-Co-Al polycrystalline alloys and its effects on mechanical properties. The results revealed that the migration of grain boundaries in different processes is driven by different factors, which impacts the grain orientation and precipitate formation. In the process of directional recrystallization, grains with specific orientations grow in the grain boundary region and form the dominant orientation, while grains with lower migration rate form the minor orientation. The alloy produced through directional recrystallization exhibited good recoverable strain and superelastic strain, while the alloy produced through solid solution treatment showed no evident superelastic behavior.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Edohamen Awannegbe, Liang Chen, Yue Zhao, Zhijun Qiu, Huijun Li
Summary: This study employed laser metal deposition to additively manufacture Ti-15Mo wt% alloy, and subsequently subjected it to post-fabrication uniaxial thermomechanical processing. The results showed that different zones in the microstructure remained after processing, and deformation mechanisms mainly involved slip and martensite formation. The compressive mechanical properties were found to be dependent on strain rate, with higher flow stress and compressive strength observed at higher strain rates. Grain structure homogenisation was not achieved, leading to anisotropic tensile properties.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Reza Khatib Zadeh Davani, Enyinnaya George Ohaeri, Sandeep Yadav, Jerzy A. Szpunar, Jing Su, Michael Gaudet, Muhammad Rashid, Muhammad Arafin
Summary: This research aims to investigate the effect of roughing and finishing reductions on crystallographic texture. The results show significant heterogeneity in the centerline region, with higher intensity of certain textures. Drop Weight Tear Test indicates that steel specimens with lower and medium reductions exhibit superior low-temperature impact toughness compared to steel with higher reductions. The electrochemical hydrogen charging experiments confirm the presence of internal hydrogen cracks only in steel with lower and medium reductions.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Flavio De Barbieri, Denis Jorge-Badiola, Rodrigo Allende, Karem Tello, Alfredo Artigas, Franco Perazzo, Henry Jami, Juan Perez Ipina
Summary: This study examines the effect of Cr additions on the mechanical behavior of TWIP steel at temperatures ranging from 25°C to 350°C. The results indicate that different temperature-dependent strengthening mechanisms, including mechanical twinning, Dynamic Strain Aging, and slip bands, are at play. The stacking fault energy (SFE) influences the percentage of mechanical twinning, which in turn affects the strain hardening rate.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Hanlin Peng, Siming Huang, Ling Hu, Bingbing Luo, Liejun Li, Ian Baker
Summary: This study explores the weldability, microstructures, and mechanical properties of two L1(2)-nanoparticle-strengthened medium-entropy alloys after electron beam welding (EBW). The results show that strong yet ductile defect-free joints were produced, with larger grain sizes in the fusion zones compared to the heat-affected zones and base materials. Both EBWed MEAs exhibited high yield strengths, high ultimate tensile strengths, and good fracture strains at 77 K. The V-doping improved the cryogenic mechanical properties of the TMT MEA.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Yongxin Wang, Lei Chen, Lizi Shao, Shuo Hao, Motomichi Koyama, Xingzhou Cai, Xiaocong Ma, Miao Jin
Summary: This study investigated the tensile deformation behavior of an Mn-N bearing lean duplex stainless steel with metastable austenite. The results showed that the strain rate had significant influence on the work hardening, strain-induced martensitic transformation, and fracture mechanism.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Jong Woo Won, Seulbi Lee, Hye-Jeong Choe, Yong-Taek Hyun, Dong Won Lee, Jeong Hun Lee
Summary: Cold-rolled pure titanium showed improved sheet formability after undergoing cryogenic-deformation treatment. This treatment increased the thinning capability of the titanium and suppressed cracking during sheet forming. The formation of twins during deformation contributed to high thinning capability and increased strength through grain refinement and dislocation accumulation.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Handong Li, Lin Su, Lijuan Wang, Yanbin Jiang, Jiahui Long, Gaoyong Lin, Zhu Xiao, Yanlin Jia, Zhou Li
Summary: Homogenization heat treatment is a key procedure in controlling the second phase, enhancing composition uniformity, and workability of as-cast Cu-15Ni-8Sn alloy. This study found that electropulsing treatment (EPT) can significantly reduce treatment temperature and time, improve elongation and overall mechanical properties of the alloy.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Yuxuan Wang, Juntao Zou, Lixing Sun, Yunfei Bai, Zhe Zhang, Junsheng Cheng, Lin Shi, Dazhuo Song, Yihui Jiang, Zhiwei Zhang
Summary: A novel mechanical-heat-electricity synergistic method was proposed to enhance the mechanical properties of Cu-15Sn-0.3Ti alloy by forming annealing twins (ATs). The combination method of Rotary swaging (RS) and Electric pulse treatment (EPT) successfully induced recrystallization and refinement of the microstructure, leading to a significant increase in the strength of the alloy within a short time.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Zhiyi Ding, Jiangtao Xie, Tong Wang, Aiying Chen, Bin Gan, Jinchao Song
Summary: This study demonstrated the Ta-induced strengthening of CoCrNi-AlTi MEAs using nanoscale heterogeneous coherent precipitates. The addition of Ta and aging treatments significantly enhanced the mechanical properties of the alloy, including yield strength, ultimate tensile strength, and elongation.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Z. Y. You, Z. Y. Tang, B. Wang, H. W. Zhang, P. Li, L. Zhao, F. B. Chu, H. Ding
Summary: The mechanical properties and microstructural evolution of C-doped TRIP-assisted HEA under dynamic loading conditions were systematically investigated in this study. The results showed that dynamic tensile deformation led to an increase in yield strength and a decrease in ultimate tensile strength, with a trend towards increased total elongation. The primary deformation mechanisms shifted from TRIP and TWIP effects to deformation twinning and dislocations. The presence of carbides formed through C-doping hindered dislocation slip and promoted the activation of multiple twinning systems.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
Article
Nanoscience & Nanotechnology
Feng Qin, Feihu Chen, Junhua Hou, Wenjun Lu, Shaohua Chen, Jianjun Li
Summary: Plastic instability in strong multilayered composites is completely suppressed by architecting nanoscale BCC Nb crystalline-amorphous CuNb interfaces.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2024)
