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| 1 | Surface Nanocrystallization (SNC) of Metallic Materials-Presentation of the Concept behind a New Approach显示文摘In this paper, a concept of surface nanocrystallization (SNC) of metallic materials is introduced.Three types of SNC processes are classified. Different SNC mechanisms and possible techniques for SNC are discussed with emphasis on mechanically induced surface self-nanocrystallization.Further development and prospects are addressed with respect to the properties and behaviors of the materials with a nanocrystalline surface. Enhancement of the behavior of the engineering materials by means of the SNC technology and its industrial application possibilities are analyzed. | Lu, K Lu, J | 1999 | Journal of Materials Science & Technology1999，15，3： | 296 |
| 2 | Metal Fabrication by Additive Manufacturing Using Laser and Electron Beam Melting Technologies显示文摘Selective laser melting (SLM) and electron beam melting (EBM) are relatively new rapid, additive manufac- turing technologies which can allow for the fabrication of complex, multi-functional metal or alloy monoliths by CAD-directed, selective melting of precursor powder beds. By altering the beam parameters and scan strategies, new and unusual, even non-equilibrium microstructures can be produced; including controlled microstructural architectures which ideally extend the contemporary materials science and engineering paradigm relating structure-properties-processing-performance. In this study, comparative examples for SLM and EBM fabricated components from pre-alloyed, atomized precursor powders are presented. These include Cu, Ti–6Al–4V, alloy 625 (a Ni-base superalloy), a Co-base superalloy, and 17-4 PH stainless steel. These systems are characterized by optical metallography, scanning and transmission electron microscopy, and X-ray diffraction. | Lawrence E. Murr Sara M. Gaytan Diana A. Ramirez Edwin Martinez Jennifer Hernandez Krista N. Amato Patrick W. Shindo Francisco R. Medina Ryan B. Wicker | 2012 | Journal of Materials Science & Technology2012，28，1： | 98 |
| 3 | A general-purpose machine learning framework for predicting properties of inorganic materials显示文摘A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data.While prior examples have demonstrated successful models for some applications,many more applications exist where machine learning can make a strong impact.To enable faster development of machine-learning-based models for such applications,we have created a framework capable of being applied to a broad range of materials data.Our method works by using a chemically diverse list of attributes,which we demonstrate are suitable for describing a wide variety of properties,and a novel method for partitioning the data set into groups of similar materials to boost the predictive accuracy.In this manuscript,we demonstrate how this new method can be used to predict diverse properties of crystalline and amorphous materials,such as band gap energy and glass-forming ability. | Logan Ward Ankit Agrawal Alok Choudhary Christopher Wolverton | 2016 | npj Computational Materials2016，，1： | 83 |
| 4 | Corrosion Resistance of Graphene-Reinforced Waterborne Epoxy Coatings显示文摘Graphene(G) was dispersed uniformly in water and used as an inhibitor in waterborne epoxy coatings.The effect of dispersed G on anticorrosion performance of epoxy coatings was evaluated.The composite coatings displayed outstanding barrier properties against H_2O molecule compared to the neat epoxy coating.Open circuit potential(OCP),Tafel and electrochemical impedance spectroscopy(EIS)analysis con-?rmed that the corrosion rate exhibited by composite coatings with 0.5 wt%G was an order of magnitude lower than that of neat epoxy coating.Salt spray test results revealed superior corrosion resistance offered by the composite coating. | Shuan Liu Lin Gu Haichao Zhao Jianmin Chen Haibin Yu | 2016 | Journal of Materials Science & Technology2016，32，5： | 67 |
| 5 | A Review on Casting Magnesium Alloys: Modification of Commercial Alloys and Development of New Alloys显示文摘The research and development status of casting magnesium alloys including the commercial casting alloys and the new types casting alloys are reviewed,with more attention to microstructure and mechanical properties of modified-AZ91,AM60 and WE43 alloys with various additions,and new types of low cost casting alloys and high strength casting alloys.The modification and/or refinement of Mg2 Si phase in Mg–Al–Si based casting alloys by various additions are discussed and new purifying technologies for casting magnesium alloys are introduced to improve the performance.The modified AZ81 alloy with reduced impurities is found to have the tensile strength of 280 ± 6 MPa and elongation of 16% ± 0.7%.The fatigue strength of AZ91 D alloy could be obviously improved by addition of Ce and Nd.The Mg–16Gd–2Ag–0.3Zr alloy exhibits very high tensile and yield strengths(UTS:423 MPa and YS:328 MPa);however,its elongation still needs to be improved. | Fusheng Pan Mingbo Yang Xianhua Chen | 2016 | Journal of Materials Science & Technology2016，32，12： | 78 |
| 6 | Friction stir based welding and processing technologies-processes,parameters,microstructures and applications:A review显示文摘Friction stir welding(FSW) has achieved remarkable success in the joining and processing of aluminium alloys and other softer structural alloys. Conventional FSW, however, has not been entirely successful in the joining, processing and manufacturing of different desired materials essential to meet the sophisticated green globe requirements. Through the efforts of improving the process and transferring the existing friction stir knowledge base to other advanced applications, several friction stir based daughter technologies have emerged over the timeline. A few among these technologies are well developed while others are under the process of emergence. Beginning with a broad classification of the scattered frictions stir based technologies into two categories, welding and processing, it appears now time to know,compile and review these to enable their rapid access for reference and academia. In this review article,the friction stir based technologies classified under the category of welding are those applied for joining of materials while the remnant are labeled as friction stir processing(FSP) technologies. This review article presents an overview of four general aspects of both the developed and the developing friction stir based technologies, their associated process parameters, metallurgical features of their products and their feasibility and application to various materials. The lesser known and emerging technologies have been emphasized. | G.K.Padhy C.S.Wu S.Gao | 2018 | Journal of Materials Science & Technology2018，34，1： | 65 |
| 7 | A review of selective laser melting of aluminum alloys: Processing,microstructure, property and developing trends显示文摘Selective laser melting(SLM) is an attractive rapid prototyping technology for the fabrication of metallic components with complex structure and high performance. Aluminum alloy, one of the most pervasive structural materials, is well known for high specific strength and good corrosion resistance. But the poor laser formability of aluminum alloy restricts its application. There are problems such as limited processable materials, immature process conditions and metallurgical defects on SLM processing aluminum alloys. Some efforts have been made to solve the above problems. This paper discusses the current research status both related to the scientific understanding and technology applications. The paper begins with a brief introduction of basic concepts of aluminum alloys and technology characterization of laser selective melting. In addition, solidification theory of SLM process and formation mechanism of metallurgical defects are discussed. Then, the current research status of microstructure, properties and heat treatment of SLM processing aluminum alloys is systematically reviewed respectively. Lastly, a future outlook is given at the end of this review paper. | Jinliang Zhang Bo Song Qingsong Wei Dave Bourell Yusheng Shi | 2019 | Journal of Materials Science & Technology2019，35，2： | 77 |
| 8 | Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems显示文摘We present a method for solving partial differential equations using artificial neural networks and an adaptive collocation strategy.In this procedure,a coarse grid of training points is used at the initial training stages,while more points are added at later stages based on the value of the residual at a larger set of evaluation points.This method increases the robustness of the neural network approximation and can result in significant computational savings,particularly when the solution is non-smooth.Numerical results are presented for benchmark problems for scalar-valued PDEs,namely Poisson and Helmholtz equations,as well as for an inverse acoustics problem. | Cosmin Anitescu Elena Atroshchenko Naif Alajlan Timon Rabczuk | 2019 | Computers, Materials & Continua2019，，4： | 72 |
| 9 | Bone grafts and biomaterials substitutes for bone defect repair:A review显示文摘Bone grafts have been predominated used to treat bone defects,delayed union or non-union,and spinal fusion in orthopaedic clinically for a period of time,despite the emergency of synthetic bone graft substitutes.Nevertheless,the integration of allogeneic grafts and synthetic substitutes with host bone was found jeopardized in long-term follow-up studies.Hence,the enhancement of osteointegration of these grafts and substitutes with host bone is considerably important.To address this problem,addition of various growth factors,such as bone morphogenetic proteins(BMPs),parathyroid hormone(PTH)and platelet rich plasma(PRP),into structural allografts and synthetic substitutes have been considered.Although clinical applications of these factors have exhibited good bone formation,their further application was limited due to high cost and potential adverse side effects.Alternatively,bioinorganic ions such as magnesium,strontium and zinc are considered as alternative of osteogenic biological factors.Hence,this paper aims to review the currently available bone grafts and bone substitutes as well as the biological and bio-inorganic factors for the treatments of bone defect. | Wenhao Wang Kelvin W.K.Yeung | 2017 | Bioactive Materials2017，2，4： | 66 |
| 10 | The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies显示文摘The Open Quantum Materials Database(OQMD)is a high-throughput database currently consisting of nearly 300,000 density functional theory(DFT)total energy calculations of compounds from the Inorganic Crystal Structure Database(ICSD)and decorations of commonly occurring crystal structures.To maximise the impact of these data,the entire database is being made available,without restrictions,at www.oqmd.org/download.In this paper,we outline the structure and contents of the database,and then use it to evaluate the accuracy of the calculations therein by comparing DFT predictions with experimental measurements for the stability of all elemental ground-state structures and 1,670 experimental formation energies of compounds.This represents the largest comparison between DFT and experimental formation energies to date.The apparent mean absolute error between experimental measurements and our calculations is 0.096 eV/atom.In order to estimate how much error to attribute to the DFT calculations,we also examine deviation between different experimental measurements themselves where multiple sources are available,and find a surprisingly large mean absolute error of 0.082 eV/atom.Hence,we suggest that a significant fraction of the error between DFT and experimental formation energies may be attributed to experimental uncertainties.Finally,we evaluate the stability of compounds in the OQMD(including compounds obtained from the ICSD as well as hypothetical structures),which allows us to predict the existence of~3,200 new compounds that have not been experimentally characterised and uncover trends in material discovery,based on historical data available within the ICSD. | Scott Kirklin James E Saal Bryce Meredig Alex Thompson Jeff W Doak Muratahan Aykol Stephan Rühl Chris Wolverton | 2015 | npj Computational Materials2015，，1： | 62 |
| 11 | Novel Magnesium Alloys Developed for Biomedical Application:A Review显示文摘There is an increasing interest in the development of magnesium alloys both for industrial and biomedical applications.Industrial interest in magnesium alloys is based on strong demand of weight reduction of transportation vehicles for better fuel efficiency,so higher strength,and better ductility and corrosion resistance are required.Nevertheless,biomedical magnesium alloys require appropriate mechanical properties, suitable degradation rate in physiological environment,and what is most important,biosafety to human body. Rather than simply apply commercial magnesium alloys to biomedical field,new alloys should be designed from the point of view of nutriology and toxicology.This article provides a review of state-of-the-art of magnesium alloy implants and devices for orthopedic,cardiovascular and tissue engineering applications. Advances in new alloy design,novel structure design and surface modification are overviewed.The factors that influence the corrosion behavior of magnesium alloys are discussed and the strategy in the future development of biomedical magnesium alloys is proposed. | Nan Li Yufeng Zheng | 2013 | Journal of Materials Science & Technology2013，29，6： | 58 |
| 12 | Design, Preparation and Properties of Carbon Fiber Reinforced Ultra-High Temperature Ceramic Composites for Aerospace Applications: A Review显示文摘Carbon fiber reinforced ultra-high temperature ceramic(UHTC) composites, consisting of carbon fibers embedded in a UHTC-matrix or a C–SiC–UHTC-matrix, are deemed as the most viable class of materials that can overcome the poor fracture toughness and thermal shock resistance of monolithic UHTC materials, and also improve the oxidation resistance and ablation resistance of C/C and C/SiC composites at ultra-high temperatures. In this review, we summarize the different processing routes of the composites based on the UHTC introducing methods, including chemical vapor infiltration/deposition(CVI/D),precursor infiltration and pyrolysis(PIP), reactive melt infiltration(RMI), slurry infiltration(SI), in-situ reaction, hot pressing(HP), etc; and the advantages and drawbacks of each method are briefly discussed. The carbon fiber reinforced UHTC composites can be highly tailorable materials in terms of fiber,interface, and matrix. From the perspective of service environmental applications for engine propulsions and hypersonic vehicles, the material designs(mainly focusing on the composition, quantity, structure of matrix, as well as the architecture of carbon fibers, UHTCs and pores), their relevant processing routes and properties(emphasizing on the mechanical and ablation properties) are discussed in this paper. In addition, we propose a material architecture to realize the multi-function through changing the distribution of carbon fibers, UHTCs and pores, which will be an important issue for future development of carbon fiber reinforced UHTC composites. | Sufang Tang Chenglong Hu | 2017 | Journal of Materials Science & Technology2017，33，2： | 51 |
| 13 | A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate显示文摘In this paper,a deep collocation method(DCM)for thin plate bending problems is proposed.This method takes advantage of computational graphs and backpropagation algorithms involved in deep learning.Besides,the proposed DCM is based on a feedforward deep neural network(DNN)and differs from most previous applications of deep learning for mechanical problems.First,batches of randomly distributed collocation points are initially generated inside the domain and along the boundaries.A loss function is built with the aim that the governing partial differential equations(PDEs)of Kirchhoff plate bending problems,and the boundary/initial conditions are minimised at those collocation points.A combination of optimizers is adopted in the backpropagation process to minimize the loss function so as to obtain the optimal hyperparameters.In Kirchhoff plate bending problems,the C^1 continuity requirement poses significant difficulties in traditional mesh-based methods.This can be solved by the proposed DCM,which uses a deep neural network to approximate the continuous transversal deflection,and is proved to be suitable to the bending analysis of Kirchhoff plate of various geometries. | Hongwei Guo Xiaoying Zhuang Timon Rabczuk | 2019 | Computers, Materials & Continua2019，，5： | 53 |
| 14 | Effect of Microstructure Refinement on the Strength and Toughness of Low Alloy Martensitic Steel显示文摘马氏体的微观结构在熄灭,有从 6 亩 m 到 199 亩 m 的优先的奥氏体谷物尺寸的 tempered 17CrNiMo6 钢被光金属组织学( OM )描绘了,与各种各样的优先的奥氏体谷物尺寸扫描电子显微镜学( SEM )和传动电子显微镜学( TEM ) .Theyield 强度和钢的坚韧被测试并且与微观结构特征相关。结果证明在 17CrNiMo6 钢的优先的奥氏体谷物尺寸和马氏体的包尺寸与收益强度跟随一种 Hall-Petch 关系。当优先的奥氏体谷物尺寸从 199 亩 m 被精制到 6 亩 m 时,收益强度由 235 MPa 增加了,当在 77 K 的 Charpy U槽口冲击能多于 8times 改善了时,显示那微观结构精炼在比在增加强度改进抵抗到劈开骨折是更有效的。破裂表面暗示为劈开骨折的联合起来的裂缝路径作为是包被识别。 | Chunfang WANG Maoqiu WANG Jie SHI Weijun HUI Han DONG | 2007 | Journal of Materials Science & Technology2007，23，5： | 50 |
| 15 | Recovery of iron from high phosphorus oolitic iron ore using coal-based reduction followed by magnetic separation显示文摘Oolitic iron ore is one of the most important iron resources. This paper reports the recovery of iron from high phosphorus oolitic iron ore using coal-based reduction and magnetic separation. The influences of reduction temperature, reduction time, C/O mole ratio, and CaO content on the metallization degree and iron recovery were investigated in detail. Experimental results show that reduced products with the metallization degree of 95.82% could be produced under the optimal conditions (i.e., reduction temperature, 1250℃; reduction time, 50 min; C/O mole ratio, 2.0; and CaO content, 10wt%). The magnetic concentrate containing 89.63wt% Fe with the iron recovery of 96.21% was obtained. According to the mineralogical and morphologic analysis, the iron minerals had been reduced and iron was mainly enriched into the metallic iron phase embedded in the slag matrix in the form of spherical particles. Apatite was also reduced to phosphorus, which partially migrated into the metallic iron phase. | Yong-sheng Sun Yue-xin Han Peng Gao Ze-hong Wang Duo-zhen Ren | 2013 | International Journal of Minerals,Metallurgy and Materials2013，20，5： | 43 |
| 16 | Recent Advances in Synthesis of Waterborne Polyurethane and Their Application in Water-based Ink:A Review显示文摘Over the last few years,waterborne polyurethane(WPU) was applied to various fibers,adhesives,primers for metals,caulking materials,emulsion polymerization media,paint additives,defoamers,associate thickeners,pigment pastes,textile dyes and biomaterials,resulting in the increasing enthusiasm of researchers to design and synthesize novel WPU with unique properties.Thus,various processes and raw materials have been developed to prepare WPU.This review gives an overview on the developments of WPU mainly derived from novel polyols,analyzes the potential application in water-based inks and presents the probable future research area about water-based inks.Notably,the poly(ε-caprolactone) and poly(lactic acid) are the versatile materials used in WPU synthesis and supply the potential special performance for preparing WPU.Meanwhile,addition-fragmentation chain transfer(RAFT) polymerization and atom transfer radical polymerization(ATRP) processes provide an opportunity to control the chain sequence of WPU and obtain products with the desired performance. | Xing Zhou Yan Li Changqing Fang Shujuan Li Youliang Cheng Wanqing Lei Xiangjie Meng | 2015 | Journal of Materials Science & Technology2015，31，7： | 47 |
| 17 | 高熵合金材料研究进展(英文)显示文摘根据人类开发材料的能力来看,合金成分经历了从简单到复杂的发展过程.合金的功能和性能不断改善,同时促进了人类文明进步.具有多组分的高熵合金(HEAs)可以有效地改善合金的微观结构和性质.高熵合金具有诸如高强度和高硬度、优异的耐腐蚀性和热稳定性、良好的抗疲劳强度及断裂强度、强耐辐射性等优异的性能,这是传统的合金无法比拟的.这些优异的性能也说明高熵合金未来具有非常高的应用前景.近年来,高熵合金在各个领域也呈现出快速发展的趋势.为了更好地了解高熵合金的基础,未来快速开发出具有更加优异性能的高熵合金,本文综述了近年来关于高熵合金的发展.高熵合金的发展已经经历了两个阶段,第一个阶段为等摩尔-单相固溶体结构的高熵合金,第二阶段为非等摩尔比的多相固溶体高熵合金.本文主要讨论了高熵合金的制备方法、组分设计、相形成和微观结构、优异的性能和高熵合金在计算模拟方面的应用,同时提出了高熵合金的未来发展趋势和前景. | 张蔚冉 Peter K.Liaw 张勇 | 2018 | Science China Materials2018，61，1： | 48 |
| 18 | Anaerobic microbiologically influenced corrosion mechanisms interpreted using bioenergetics and bioelectrochemistry: A review显示文摘Microbiologically influenced corrosion(MIC) is a major cause of corrosion damages, facility failures, and financial losses, making MIC an important research topic. Due to complex microbiological activities and a lack of deep understanding of the interactions between biofilms and metal surfaces, MIC occurrences and mechanisms are difficult to predict and interpret. Many theories and mechanisms have been proposed to explain MIC. In this review, the mechanisms of MIC are discussed using bioenergetics, microbial respiration types, and biofilm extracellular electron transfer(EET). Two main MIC types, namely EET-MIC and metabolite MIC(M-MIC), are discussed. This brief review provides a state of the art insight into MIC mechanisms and it helps the diagnosis and prediction of occurrences of MIC under anaerobic conditions in the oil and gas industry. | Yingchao Li Dake Xu Changfeng Chen Xiaogang Li Ru Jia Dawei Zhang Wolfgang Sand Fuhui Wang Tingyue Cu | 2018 | Journal of Materials Science & Technology2018，34，10： | 43 |
| 19 | Progress in additive manufacturing on new materials: A review显示文摘Recent efforts and advances in additive manufacturing(AM) on different types of new materials are presented and reviewed. Special attention is paid to the material design of cladding layers, the choice of feedstock materials, the metallurgical behavior and synthesis principle during the AM process, and the resulted microstructures and properties, as well as the relationship between these factors. Thereafter,the trend of development in the future is forecasted, including: Effects of the particles size and size distribution of powders; Approaches for producing fine microstructures; Opportunities for creating new materials by AM; Wide applications in reconditioning of damaged components; Challenges for deep understanding and applications of the AMed new materials. The idea of 'Develop Materials' or 'Create Materials' by AM is highlighted, but a series of scientific, technological and engineering problems remain to be solved in future. | Neng Li Shuai Huang Guodong Zhang Renyao Qin Wei Liu Huaping Xiong Gongqi Shi Jon Blackburn | 2019 | Journal of Materials Science & Technology2019，35，2： | 47 |
| 20 | Recent advances and applications of machine learning in solidstate materials science显示文摘One of the most exciting tools that have entered the material science toolbox in recent years is machine learning.This collection of statistical methods has already proved to be capable of considerably speeding up both fundamental and applied research.At present,we are witnessing an explosion of works that develop and apply machine learning to solid-state systems.We provide a comprehensive overview and analysis of the most recent research in this topic.As a starting point,we introduce machine learning principles,algorithms,descriptors,and databases in materials science.We continue with the description of different machine learning approaches for the discovery of stable materials and the prediction of their crystal structure.Then we discuss research in numerous quantitative structure–property relationships and various approaches for the replacement of first-principle methods by machine learning.We review how active learning and surrogate-based optimization can be applied to improve the rational design process and related examples of applications.Two major questions are always the interpretability of and the physical understanding gained from machine learning models.We consider therefore the different facets of interpretability and their importance in materials science.Finally,we propose solutions and future research paths for various challenges in computational materials science. | Jonathan Schmidt Mário R.G.Marques Silvana Botti Miguel A.L.Marques | 2019 | npj Computational Materials2019，，1： | 49 |
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