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SSRN 2024年

作者： Stoco, Caroline Binde Cassar, Daniel Roberto Kaufman, Michael Clarke, Amy Coury, Francisco Gil Federal University of São Carlos Graduate Program in Materials Science and Engineering SP São Carlos Brazil SP Campinas Brazil Center for Advanced Non-Ferrous Structural Alloys George S. Ansell Department of Metallurgical and Materials Engineering Colorado School of Mines GoldenCO United States

A genetic algorithm was developed to search for high entropy alloys (HEAs) with good combinations of mechanical properties. The algorithm was designed to solve a multi-objective problem of finding single-phase face-centered cubic HEAs with high Hall-Petch constants and high critical resolved shear stresses. The goal was to obtain an alloy with good ductility and strength. The most promising alloy suggested by the genetic algorithm was an unconventional composition (Co32.73Cu15.11Fe0.72Hf0.72Mn35.97Mo3.96Ni10.43Sn0.36);this alloy was experimentally produced and characterized. An advantage of the proposed method is the possibility of more systematically identifying and exploring new compositions in the complex composition space characteristic of these multicomponent alloys. However, the thermodynamic parameters used for this selection process exhibited limitations, which were further explored in the present study, as evidenced by the fact that the microstructure of the selected alloy was not single-phase. © 2024, The Authors. All rights reserved.

关键词： Phase equilibria

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Optimizing Lpbf-Parameters by Box-Behnken Design Allows to Print Crack-Free and Dense High-Boron Alloyed Stainless Steels

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SSRN 2024年

作者： Freitas, Brenda Juliet Martins Koga, Guilherme Yuuki Arneitz, Siegfried Bolfarini, Claudemiro de Traglia Amancio-Filho, Sergio Federal University of São Carlos Graduate Program in Materials Science and Engineering São Carlos13.565-905 Brazil Graz University of Technology Institute of Materials Science Joining and Forming Graz8010 Austria Federal University of São Carlos Department of Materials Engineering São Carlos13.565-905 Brazil Rod. Washington Luis São Carlos13565-905 Brazil

Boron has almost null solubility in iron, and its addition to stainless steels leads to the formation of hard borides, beneficial for increasing the wear resistance. However, these boron-containing steels have poor printability, with the occurrence of pronounced cracking, high porosity and risk of delamination. In this work Box-Behnken design coupled to analysis of variance (ANOVA) were used to optimize the LPBF (Laser Powder Bed Fusion) processing parameters of a highly boron-alloyed stainless steel reinforced with a boride network. The proposed models demonstrated to be accurate to determine the porosity percentage for the studied alloys, in which the laser power and scanning speed play the main role on the alloys’ densification, and absence of extensive defects. These results indicate that the use of design of experiments tools are essential to produce defect-free boron-modified stainless steel specimens with a relatively low number of experiments, identifying a narrow optimized processing window to build bulk composite materials. © 2024, The Authors. All rights reserved.

关键词： Design of experiments

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Ultrafine-Grained Stainless Steel with Wear-Resistant Nanoborides Decorating Grain Boundaries Produced by Laser Powder Bed Fusion

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SSRN 2024年

作者： Martins Freitas, Brenda Juliet Koga, Guilherme Yuuki Miguel Rodrigues, Luana Cristina Botta Filho, Walter José Amancio-Filho, Sergio de Traglia Bolfarini, Claudemiro Federal University of São Carlos Graduate Program in Materials Science and Engineering São Carlos13.565-905 Brazil Graz University of Technology Institute of Materials Science Joining and Forming Graz8010 Austria Federal University of São Carlos Department of Materials Engineering São Carlos13.565-905 Brazil Rod. Washington Luis São Carlos13565-905 Brazil

Stainless steel composites combine corrosion resistance and toughness of the metallic matrix with wear resistance granted by hard reinforcing nanoparticles. Given their near-net-shape manufacturing characteristics, additive manufacturing techniques are attractive to produce these hard and wear-resistant classes of materials with low machinability. In this work, from a SAF 2205 duplex stainless steel with boron addition, laser powder bed fusion (LBPF) was employed to produce an ultrafine-grained (~1 µm), dense (porosity ~0.1%), and crack-free ferritic-induced matrix composite with Cr2B-nanoborides reinforcing the grain boundaries (GBs) without formation of Cr-depleted regions. The composite showed significant higher hardness (up to 456 HV0.5) and wear resistance (4.4 x 10-5 mm3 N-1m-1) in sliding condition compared to a hot-rolled (225 HV0.5 and 2.9 x 10-3 mm3 N-1m-1) and a LPBF-produced SAF 2205 (314 HV0.5 and 3.3 x 10-4 mm3 N-1m-1). © 2024, The Authors. All rights reserved.

关键词： Wear of materials

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A robust bendable IrO_x thin film via mild alkaline solution process for neuron stimulating electrodes

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Surfaces and Interfaces 2024年 44卷

作者： Tso, Kuang-Chih Chan, Tzu-Ying Yu, Tsung-Chun Tao, Yu-Jen Chu, Chao-Yi Chen, San-Yuan Lee, Jyh-Fu Ohta, Jun Chen, Po-Chun Wu, Pu-Wei Graduate Program of Accelerator Light Source National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Division of Materials Science Graduate School of Science and Technology Nara Institute of Science Technology Nara Ikoma Takayama 8916-5 Japan Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Institute of Materials Science and Engineering National Taipei University of Technology Taipei 106 Taiwan National Synchrotron Radiation Research Center Hsinchu 300 Taiwan

We demonstrate a unique chemical formula to deposit hydrous iridium oxide thin film on a platinum-coated polyimide substrate. In a mild alkaline solution, the iridium (III) precursor undergoes the ligand exchange and hydrolysis reaction to become the iridium (III) dimers that are physically adsorbed on the substrate for subsequent heterogeneous condensation and growth of amorphous hydrous iridium oxide thin film. Both UV–Vis and X-ray absorption spectroscopy (XAS) are employed to determine the reaction steps involved. The chemical nature and crystallinity of the hydrous iridium oxide thin film are investigated by XAS, X-ray photon spectroscopy, and X-ray diffraction. The hydrous iridium oxide thin film reveals an impressive normalized charge storage capacity (CSC) of 0.3 mC/cm²-nm and a low impedance (80.5 Ω) at 1k Hz. In addition, in bending test of 3,000 cycles, the hydrous iridium oxide thin film retains 91.2 % of its initial normalized CSC without any physical crack and delamination. The cell viability test suggests negligible bio-toxicity. Our results provide a solid evidence of fabricating a robust flexible electrode for neural interfaces for potential use in implantable electronic devices. © 2023 Elsevier B.V.

关键词： Bio-electrode Flexible substrate Implantable electronic devices Iridium dimers Iridium oxide Polyimide

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ZnO AS AN INDUCER OF SPINEL-LIKE PHASE FORMATION ON ALUMINA-BASED CASTABLES 17

ZnO AS AN INDUCER OF SPINEL-LIKE PHASE FORMATION ON ALUMINA-...

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17th Unified International Technical Conference on Refractories, UNITECR 2022

作者： Borges, O.H. Sardelli, J.A.P. Rocha, R.M. Neto, C. Pagliosa Pandolfelli, V.C. Federal University of Sao Carlos Graduate Program in Materials Science and Engineering SP Sao Carlos Brazil FIRE Associate Laboratory SP Sao Carlos Brazil RHI Magnesita Research and Development Center Praça Louis Ensch 240 MG Contagem32210-902 Brazil

Environmental and occupational issues regarding Cr6+ formation urge the replacement of chrome-containing refractories by greener alternatives. For the latest decades, magnesium-containing refractories have been investigated for this purpose, however, few studies evaluated the likelihood of using other chemical elements as inducers of spinel-like phase formation in refractory castables. In this work, the addition of zincite (ZnO) in alumina-based vibrated castables bonded with calcium aluminate cement (CAC) or hydratable alumina (HA) was evaluated and compared with its MgO counterpart. The formation of the Zn-based spinel (ZnAl2O4, gahnite) took place at a lower temperature (1100 ºC) than MgAl2O4 (1300 ºC), resulting in the anticipated strengthening of these compositions. Despite the challenges regarding using ZnO - as its volatilization under reduced atmosphere and fast reaction kinetics -, lower linear dimensional changes, comparable cold modulus of rupture and enhanced thermal shock damage resistance was detected. © 2022 Unified International Technical Conference on Refractories, UNITECR 2022 - Proceedings. All rights reserved.

关键词： Zinc oxide

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Study of Machine Learning Techniques for Damage Identification in a Beam 10th

Study of Machine Learning Techniques for Damage Identifica...

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10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： da Silva Coelho, Jefferson de Sousa, Amanda Aryda Silva Rodrigues Machado, Marcela Rodrigues Dutkiewicz, Maciej Department of Mechanical Engineering University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília Brazil Post-Graduate Program - Integrity of Engineering Materials University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília70910-900 Brazil Faculty of Civil Environmental Engineering and Architecture University of Science and Technology Bydgoszcz85-796 Poland

ISBN: (纸本)9783031157578

Damage is defined as any change to the material, geometry or boundary condition that can modify the structure’s properties or response. In the past, damage identification was performed through periodical inspection, non-destructive testing/non-destructive evaluation, or visual observation. Structural health monitoring (SHM) has emerged to transition from offline damage identification to near real-time and online damage assessment. Hence, SHM is a damage detection strategy to monitor a structure for a period using a series of continuous measurement devices, which then collect the system’s characteristics and subsequently perform statistical analysis to assess the current circumstances and health of the structure. One of the first steps for the study of SHM is damage detection followed by monitoring. Machine Learning (ML) techniques can be used to develop viable algorithms to make potential predictions. ML algorithms are therefore providing the tools needed to enhance the capabilities of SHM systems and provide intelligent solutions to past challenges. Preliminary studies have reviewed that the extension of ML into SHM has dramatically increased the system’s capabilities, providing innovative solutions to different research challenges. This work conducts a study of the use of ML to identify damage in a beam and discuss the challenge of usage, performance and implementation of each technique. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

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Impact of Morphological and Structural Properties of Submicron Core-Shell Fe-Silica Particles on High-Current Power Converter Performance in Electronics

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ACS Omega 2025年第22期10卷 23387-23396页

作者： Ratnasari, Delyana Septiani, Eka Lutfi Nandiyanto, Asep Bayu Dani Cao, Kiet Le Anh Hirano, Tomoyuki Okuda, Nobuhiro Matsumoto, Hiroyuki Ogi, Takashi Chemical Engineering Program Department of Advanced Science and Engineering Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Hiroshima Higashi-Hiroshima 739-8527 Japan Program Studi Teknik Kimia Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam Universitas Pendidikan Indonesia Jl. Setiabudhi No. 229 West Java Bandung 40154 Indonesia Materials Research Center Technology & Intellectual Property HQ TDK Corporation 570-2 Matsugashita Minami-Hadori Chiba Narita 286-8588 Japan

As the demand for energy-efficient solutions grows in industries such as electric vehicles and renewable energy systems, the need for high-current power converters, powder core inductors, has become increasingly critical. These converters are essential for managing the flow of energy while maintaining efficiency under demanding conditions. However, achieving the necessary performance, particularly in terms of energy storage and minimizing energy losses, requires advanced materials with tailored magnetic properties. This study addresses these needs by introducing a novel class of magnetic materials, i.e., submicrometer-sized silica-coated iron (Fe@SiO2) particles. These particles are produced through a one-step aerosol process, enabling precise control over particle morphology, size, and structural characteristics. The tuned Fe@SiO2 particles demonstrated improved packing density and saturation current as well as reduced eddy current losses, significantly boosting the stability and efficiency of power converters to meet the demands of modern high-current electronic systems. This research highlights the importance of advanced magnetic materials in the ongoing evolution of power electronics, offering new possibilities for more efficient and reliable power conversion systems in a range of applied electronic technologies. © 2025 The Authors. Published by American Chemical Society.

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A computational materials science paradigm for a Course-based Undergraduate Research Experience (CURE)

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arXiv 2024年

作者： Strubbe, David A. Department of Physics University of California Merced 5200 N. Lake Rd. MercedCA95343 United States Materials and Biomaterials Science and Engineering Graduate Group University of California Merced 5200 N. Lake Rd. MercedCA95343 United States

Course-based Undergraduate Research Experiences (CUREs) bring the excitement of research into the classroom to improve learning and the sense of belonging in the field. They can reach more students, earlier in their studies, than typical undergraduate research. Key aspects are: students learn and use research methods, give input into the project, generate new research data, and analyze it to draw conclusions that are not known beforehand. CUREs are common in other fields but have been rare in materials science and engineering. I propose a paradigm for computational material science CUREs, enabled by web-based simulation tools from *** that require minimal computational skills. After preparatory exercises, students each calculate part of a set of closely related materials, following a defined protocol to contribute to a novel class dataset which they analyze, and also calculate an additional property of their choice. This approach has been used successfully in several class projects. Copyright © 2024, The Authors. All rights reserved.

关键词： Students

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Hydrogen Storage Properties of the Ti18V24Nb23Cr33Al2Multicomponent Alloy Using Ti6V4Al Alloy Scraps as Feedstock Material

ACS Sustainable Resource Management

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ACS Sustainable Resource Management 2025年第5期2卷 807-814页

作者： Mariana de Brito Ferraz Claudia Zlotea Walter José Botta Guilherme Zepon Federal University of São Carlos Graduate Program in Materials Science and Engineering (PPGCEM/UFSCar) Rodovia Washington Luiz Km 235 São Carlos 13565-905 São Paulo Brazil Institut de Chimie et des Matériaux de Paris-Est CNRS UMR 7182 2-8 Rue Henri Dunant 94320 Thiais France Federal University of São Carlos Graduate Program in Materials Science and Engineering (PPGCEM/UFSCar) Rodovia Washington Luiz Km 235 São Carlos 13565-905 São Paulo Brazil；Federal University of São Carlos Department of Materials Engineering (DEMa/UFSCar) Rodovia Washington Luiz Km 235 São Carlos 13565-905 São Paulo Brazil

Hydrogen storage in metal hydrides has been extensively studied due to their capacity to reversibly absorb hydrogen under relatively low pressures. Multicomponent alloys, especially those of the Ti-V-Nb-Cr system, have garnered significant attention because of the possibility of fine-tuning the hydrogen storage properties by compositional control. However, most of the investigations on multicomponent alloys rely on high-purity elements as feedstock materials, which can have a substantial environmental impact due to the energy-intensive processes required to achieve such purity levels. In this work, we propose an alternative approach by utilizing Ti6Al4V alloy (ASTM F136) scraps from the biomedical industry as feedstock material to produce Ti18Nb23V24Cr33Al2. The alloy was synthesized by using an arc-melting process, combining Ti6Al4V scraps with other pure elements. Structural analysis using X-ray diffraction (XRD) and scanning electron microscopy (SEM) revealed the formation of a microstructure composed predominantly by a body-centered cubic (BCC) solid solution with a small micro segregation providing additional microstructural insights. The Ti18Nb23V24Cr33Al2alloy exhibited a hydrogen storage capacity of 2.75 wt % H2with room temperature reversibility, presenting hydrogen storage properties comparable to those of a (TiVNb)65Cr35alloy produced only from high-purity *** study presents a sustainable approach to producing Ti18Nb23V24Cr33Al2alloy from Ti6Al4V machine chips, achieving efficient hydrogen storage with reduced environmental impact.

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Review Integration of smartphone technology and artificial intelligence for advanced ophthalmic care:A systematic review

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Advances in Ophthalmology Practice and Research 2024年第3期4卷 120-127页

作者： Kai Jin Yingyu Li Hongkang Wu Yih Chung Tham Victor Koh Yitian Zhao Ryo Kawasaki Andrzej Grzybowski Juan Ye Eye Center The Second Affiliated Hospital of Zhejiang University School of MedicineZhejiang Provincial Key Laboratory of OphthalmologyZhejiang Provincial Clinical Research Center for Eye DiseasesZhejiang Provincial Engineering Institute on Eye DiseasesHangzhouChina Centre for Innovation and Precision Eye Health National University of SingaporeSingapore Department of Ophthalmology National University of SingaporeSingapore Singapore Eye Research Institute Singapore National Eye CentreSingapore Ophthalmology and Visual Science Academic Clinical Program Duke-NUS Medical SchoolSingapore Cixi Institute of Biomedical Engineering Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Ningbo Eye Hospital NingboChina Zhejiang International Scientific and Technological Cooperative Base of Biomedical Materials and Technology Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Zhejiang Engineering Research Center for Biomedical Materials Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Division of Public Health Department of Social MedicineGraduate School of MedicineOsaka UniversityOsakaJapan Artificial Intelligence Center for Medical Research and Application Osaka University HospitalOsakaJapan Institute for Research in Ophthalmology Foundation for Ophthalmology DevelopmentPoznanPoland

Background:The convergence of smartphone technology and artificial intelligence(AI)has revolutionized the landscape of ophthalmic care,offering unprecedented opportunities for diagnosis,monitoring,and management of ocular ***,there is a lack of systematic studies on discussing the integration of smart-phone and AI in this *** text:This review includes 52 studies,and explores the integration of smartphones and AI in ophthalmology,delineating its collective impact on screening methodologies,disease detection,telemedicine initiatives,and patient *** collective findings from the curated studies indicate promising performance of the smartphone-based AI screening for various ocular diseases which encompass major retinal diseases,glaucoma,cataract,visual impairment in children and ocular surface ***,the utilization of smartphone-based imaging modalities,coupled with AI algorithms,is able to provide timely,efficient and cost-effective screening for ocular *** modality can also facilitate patient self-monitoring,remote patient monitoring and enhancing accessibility to eye care services,particularly in underserved *** involving data pri-vacy,algorithm validation,regulatory frameworks and issues of trust are still need to be ***,evaluation on real-world implementation is imperative as well,and real-world prospective studies are currently ***:Smartphone ocular imaging merged with AI enables earlier,precise diagnoses,personalized treat-ments,and enhanced service accessibility in eye *** is crucial to navigate ethical and data security challenges while responsibly leveraging these innovations,promising a potential revolution in care access and global eye health equity.

关键词： Artificial intelligence Smartphone imaging Ophthalmology Telemedicine Ocular disease management

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