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arXiv 2023年

作者： Zheng, Li Karapiperis, Konstantinos Kumar, Siddhant Kochmann, Dennis M. Mechanics & Materials Lab Department of Mechanical and Process Engineering ETH Zürich Zürich8092 Switzerland Department of Materials Science and Engineering Delft University of Technology Delft2628 CD Netherlands

The rise of machine learning has fueled the discovery of new materials and, especially, metamaterials—truss lattices being their most prominent class. While their tailorable properties have been explored extensively, the design of truss-based metamaterials has remained highly limited and often heuristic, due to the vast, discrete design space and the lack of a comprehensive parameterization. We here present a graph-based deep learning generative framework, which combines a variational autoencoder and a property predictor, to construct a reduced, continuous latent representation covering an enormous range of trusses. This unified latent space allows for the fast generation of new designs through simple operations (e.g., traversing the latent space or interpolating between structures). We further demonstrate an optimization framework for the inverse design of trusses with customized mechanical properties in both the linear and nonlinear regimes, including designs exhibiting exceptionally stiff, auxetic, pentamode-like, and tailored nonlinear behaviors. This generative model can predict manufacturable (and counter-intuitive) designs with extreme target properties beyond the training domain. Copyright © 2023, The Authors. All rights reserved.

关键词： Trusses

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Toughening effects of Mo and Nb addition on impact toughness and crack resistance of titanium alloys

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Journal of materials science & Technology 2021年第20期79卷 147-164页

作者： Shixing Huang Qinyang Zhao Yongqing Zhao Cheng Lin Cong Wu Weiju Jia Chengliang Mao Vincent Ji School of Materials Science and Engineering Northeastern UniversityShenyangLiaoning110819China School of Material Science and Engineering Chang’an UniversityXi’anShaanxi710064China Northwest Institute for Nonferrous Metal Research Xi’anShaanxi710016China School of Mechanical Engineering Liaoning Shihua UniversityFushunLiaoning113001China ICMMO/SP2M UMR CNRS 8182UniversitéParis-SaclayOrsay91405France

Ti-6Al,Ti-6Al-2Mo and Ti-6Al-3Nb alloys were prepared to investigate the toughening effects ofβstabilizers Mo and Nb on impact toughness and crack resistance of titanium *** Charpy impact tests showed that the total impact absorbed energy of Ti-6Al-2Mo and Ti-6Al-3Nb(∼64 J)were two times higher than that of Ti-6Al(∼30 J),indicating the higher impact toughness of Ti-6Al-2Mo and Ti-6Al-3Nb *** of load-displacement curves revealed the similar crack initiation energy of Ti-6Al,Ti-6Al-2Mo and Ti-6Al-3Nb(15.4 J,16.1 J and 15.0 J,respectively).However,the higher crack propagation energy of Ti-6Al-2Mo and Ti-6Al-3Nb(46.7 J and 48.3 J,respectively)were about three times higher than that of Ti-6Al(14.4 J),indicating the stronger resistance to crack propagation in Ti-6Al-2Mo and ***-mortem analysis of impact samples demonstrated that the increased dislocation density and deformation twinning were mainly responsible for the stronger resistance to crack propagation in Ti-6Al-2Mo and *** to the invisibility of dislocation activation and deformation twinning during the Charpy impact process,a mathematical model has been proposed to evaluate the effects of Al,Mo and Nb elements on dislocation mobility based on the Yu Rui-huang electron *** of Mo and Nb elements significantly improved the dislocation mobility in Ti-6Al-2Mo and Ti-6Al-3Nb compared to that in Ti-6Al ***,more dislocations were activated in Ti-6Al-2Mo and Ti-6Al-3Nb which supplied the larger plastic deformation under impact loading.A dislocation-based model also has been proposed to interpret the nucleation and propagation of deformation twinning under the impact *** pileup atα/βinterfaces provided potential sites for nucleation of deformation twinning in Ti-6Al-2Mo and ***,deformation twinning facilitated the dislocation motion inαgrains with hard *** increased dislocation mobility and deformation

关键词： Titanium alloy Impact toughness Crack resistance Dislocation mobility Deformation twinning

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Measurements of CNT Forest Self-Assembly from In-situ ESEM Synthesis

arXiv

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arXiv 2024年

作者： Surya, Ramakrishna Koerner, Gordon L. Hajilounezhad, Taher Safavigerdin, Kaveh Calyam, Prasad Bunyak, Filiz Palaniappan, Kannappan Maschmann, Matthew R. Department of Mechanical and Aerospace Engineering University of Missouri ColumbiaMO65211 United States Department of Electrical Engineering and Computer Science University of Missouri ColumbiaMO65211 United States MU Materials Science and Engineering Institute University of Missouri ColumbiaMO65211 United States

Understanding and controlling the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological impact. Here, in-situ environmental scanning electron microscope (ESEM) chemical vapor deposition (CVD) synthesis observes the real-time nucleation, assembly, delamination, and self-termination of dense (> 109 CNT/cm2), tall (> 100 µm) CNT forests in real time. Forest synthesis is continuously observed from nucleation to self-termination. Assembly forces generated near the substrate detach CNTs from the substrate, which simulation suggests requires approximately 10 nN of tensile force. Delamination initiates at both the CNT-catalyst and the catalyst-substrate interfaces, indicating multiple delamination mechanism. Digital image correlation applied to SEM image sequences measures time-invariant strain within growing forests, indicating that forests grow as rigid bodies after liftoff. The Meta CoTracker algorithm measured CNT growth rates reduce from 50 nm/sec to full termination over 150 seconds. This work provides a robust strategy to observe and measure CVD material synthesis in-situ using ESEM. The method is uniquely suited to observe population-based phenomena at both nanometer spatial resolution and at a highly scalable field of view. © 2024, CC BY.

关键词： Carbon nanotubes

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Corrigendum to "Advances in developing cost-effective carbon fibers by coupling multiscale modeling and experiments: A critical review" [Prog. Mater. Sci. 146 (2024) 101329] (Progress in materials science (2024) 146, (S0079642524000987), (10.1016/***.2024.101329))

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Progress in materials science 2025年 152卷

作者： Zhu, Jiadeng Gao, Zan Mao, Qian Gao, Yawei Li, Ya Zhang, Xin Gao, Qiang Jiang, Mengjin Lee, Sungho van Duin, Adri C.T. Smart Devices Brewer Science Inc. SpringfieldMO65806 United States Department of Mechanical and Aerospace Engineering University of Virginia CharlottesvilleVA22904 United States Department of Mechanical Engineering The Pennsylvania State University University ParkPA16802 United States College of Textile Science and Engineering Zhejiang Sci-Tech University Hangzhou310018 China State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing100084 China School of Chemistry and Chemical Engineering Yangzhou University Yangzhou225002 China College of Polymer Science and Engineering Sichuan University Chengdu610065 China Carbon Composite Materials Research Center Institute of Advanced Composite Materials Korea Institute of Science and Technology Jeonbuk Wanju-gun55324 Korea Republic of

The first author's affiliation in the above-mentioned article is partially incorrect. The correct affiliation is just "a Smart Devices, Brewer science Inc., Springfield, MO 65806, USA". The correct affiliation has been replaced as above. The authors would like to apologize for any inconvenience caused. © 2025 Elsevier Ltd

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Development of an Automated Traffic Decongestion Control System

Development of an Automated Traffic Decongestion Control Sys...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Adedotun O. Adetunla Adeniran Afolalu Adeolu Adesoji Adediran Adjugah Uvietobore Joshua Samuel-Soma Ajibade Bamidele Segun Ilugbusi Dept. of Mechanical Engineering Science University of Johannesburg Johannesburg South Africa Dept. of Mechanical and Mechatronics Engineering Afe Babalola University Ado Ekiti Nigeria Department of Materials and Metallurgical Engineering Federal University of Oye-Ekiti Nigeria Department of Mechanical Engineering Science University of Johannesburg South Africa Dept. of Mechanical & Mechatronics Engineering Afe Babalola University Ado Nigeria Dept. of Computing and Information Systeems Sunway University Petaling Jaya Malaysia Dept. of Business Administration Afe Babalola University Ado Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Traffic congestion in urban and rural areas causes delays, safety hazards, and pollution. This study developed a traffic decongestion system using Arduino microcontroller, IR sensors, a servomotor, and an LCD display to reduce travel time, enhance safety, and support sustainable transportation. The system detects vehicles with IR sensors, controls barriers with a servomotor, and shows lane travel times on the LCD. By installing new traffic signals and using active traffic management strategies, the system was assessed through metrics like traffic flow and pedestrian safety. Results showed that the system effectively reduced travel times, improved safety, and supported sustainable transportation. Challenges were managed through thorough testing and communication. The study’s findings validate the effectiveness of such systems and offer insights for future traffic management research and practice.

关键词： Microcontrollers Urban areas Transportation Control systems Sensor systems Liquid crystal displays Sensors Servomotors Traffic congestion Testing

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Investigation on cutting fluid use in finish milling of polylactide (PLA) 3D-printed parts 20

Investigation on cutting fluid use in finish milling of poly...

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20th CIRP Conference on Modeling of Machining Operations in Mons, CIRP CMMO 2025

作者： Lorenzoni, Margaux Spitaels, Laurent Rivière-Lorphèvre, Edouard Odent, Jérémy M'Saoubi, Rachid Cloëz, Liam Fontaine, Michaël Ducobu, François Machine Design and Production Engineering Lab Research Institute for Materials Science and Engineering University of Mons Place du Parc 20 Mons7000 Belgium University of Mons Place du Parc 20 Mons7000 Belgium R&D Material and Technology Development Seco Tools AB Björnbacksvägen 2 FagerstaSE-737 82 Sweden Department of Mechanical Engineering Sciences Division of Production and Materials Engineering Lund University Ole Römers väg 1 LundSE-221 00 Sweden FEMTO-ST Institute-Applied Mechanics Dept. Université de Franche-Comté-SUPMICROTECH-CNRS Rue de l'épitaphe 24 BesançonF-25000 France

Fused Filament Fabrication (FFF) is an additive manufacturing process based on Material Extrusion (MEX) of polymeric filament. This manufacturing technology is commonly used for personalized production applications and prototyping, allowing to obtain customized parts with complex geometries at a low cost. However, this production technique has its limitations regarding dimensional accuracy and surface roughness of the final parts. To overcome these limitations, finish milling is considered to be a promising technique as it is widely used for metallic parts. Yet, the specific thermal properties of polymers such as low thermal conductivity and low melting temperature are adding a challenge in the determination of optimal cutting conditions. In this context, the use of cutting fluid could be the key to keep the material from melting during milling. Therefore, this paper proposes to compare the impact of using a compressed air flow to dry conditions on the cutting forces and the surface quality obtained on 3D-printed polylactide (PLA) parts. The qualification test of the tool-material couple standard (NF E 66-520-6) will be used as a guideline to determine the relevance of cutting fluid use for cutting conditions varying around an operating point. Moreover, simulated cutting forces using a mechanistic model will be compared to experimental data to evaluate the applicability of the model. © 2025 The Authors.

关键词： Compressed air

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Non-Equilibrium Solidification Complexions in Additive Manufacturing Enable Exceptional Creep Resistance: An Example in Nickel-Based Superalloys

SSRN

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SSRN 2024年

作者： Li, Yansong Cui, Luqing Xu, Jinghao Xin, Tongzheng Jiang, Shuang Li, Yao Zhang, Honghong Dang, Xiaofeng Liang, Xiaoqing Gao, Shuang Mu, Yahang Lu, Kaiju Moverare, Johan J. He, Weifeng Shaanxi Xi’an710049 China School of Mechanical Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China Division of Engineering Materials Department of Management and Engineering Linköping University LinköpingSE-58183 Sweden School of Materials Science and Engineering Dalian University of Technology Dalian116024 China Key Laboratory of Electromagnetic Processing of Materials Ministry of Education Northeastern University Shenyang110819 China School of Materials Science and Engineering Chang’an University Shaanxi Xi’an710064 China School of Mechanical Engineering Xi’an Shiyou University Shaanxi Xi’an710065 China National Key Lab of Aerospace Power System and Plasma Technology Air Force Engineering University Shaanxi Xi’an710038 China School of Material Engineering Shanghai University of Engineering Science Shanghai201620 China Shenyang110016 China Defense Innovation Institute Academy of Military Science Beijing100071 China

Insufficient time-dependent properties at elevated temperatures, particularly creep resistance and ductility, are currently crucial factors impeding the use of additively manufactured Hastelloy X (HX). To address this limitation, a micro-nano olive-shaped carbide network was purposely introduced into HX via laser powder bed fusion (L-PBF) and following optimized heat treatment. The inherent chemical heterogeneity combined with the sufficient stored energy of boundaries, induced by the ultrafast cooling rate of the L-PBF process, creates favorable conditions for the formation of micro-nano precipitation networks. Compared to its untreated counterpart, the optimized HX exhibited considerably improved creep resistance, with an 83% increase in creep life and a 122% improvement in fracture ductility. Furthermore, through multiscale characterization techniques and theoretical calculations, the preferential precipitation behavior of the micro-nano carbide networks was systematically investigated from both kinetic and thermodynamic perspectives. The superior creep resistance of the L-PBF HX, decorated with carbide networks, stems from the synergistic effects of the higher cavity surface energy, greater pinning force for grain boundary sliding, and lower plasticity-assisted diffusion rate, which markedly inhibit the nucleation and growth of microvoids during high-temperature deformations. This work provides a comprehensive understanding of the strengthening mechanisms associated with non-equilibrium solidification-facilitated carbide networks, providing new insights into the targeted design and optimization of L-PBF alloys. © 2024, The Authors. All rights reserved.

关键词： Creep resistance

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Wear properties of cemented carbides with new binder solutions for rock drilling inserts

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Wear 2025年 570卷

作者： Toller-Nordström, L. Sten, S. Kritikos, M. Norgren, S. Borgenstam, A. Borgh, I. Department of Materials Science and Engineering KTH Royal Institute of Technology 100 44 Stockholm Sweden Sandvik Mining and Rock Solutions R&D Rock Tools Division 126 80 Stockholm Sweden Department of Mechanical Engineering Lund223 62 Sweden

Cemented carbides with tungsten carbide grains as hard phase and metallic cobalt binder phase are used extensively for drill bit inserts for rock drilling. The process of rock drilling is severe with some of the wear happening through fracture in the cemented carbide. This work investigated two cemented carbides with iron rich alternative binder phases containing different amounts of FCC phase, intended to minimise the fractures through formation of a BCC phase. The samples are tested next to a reference with cobalt binder and investigations of the as-sintered samples show only very small differences in many of the relevant properties and microstructural features, including hardness, toughness, grain size distribution and binder phase volume fraction. The main difference found is in the amount of FCC in the binder phase microstructure. In a rock turning test it is found that both alternative binder drill bit inserts perform better than the reference with cobalt binder phase, studies of the wear scars show that the wear progresses though fracture of material in all samples with no discernible differences seen. There is however a correlation between volume fraction of FCC in iron-based binders and reduced wear, showing that the concept is promising for further studies. © 2025 The Authors

关键词： Tungsten carbide

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Investigating the High-Capacity Biopolymer Cashew Gum Binder for Lithium Ion Battery Silicon Anode Manufacturing

Investigating the High-Capacity Biopolymer Cashew Gum Binder...

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Smart Energy Systems and Artificial Intelligence (SESAI), International Conference on

作者： Paul Amaechi Ako Victor Sunday Aigbodion Charles Mbohwa Department of Quality and Operations Management Faculty of Engineering and Built Environment University of Johannesburg South Africa Department of Mechanical Engineering Faculty of Engineering University of Nigeria Nsukka Nigeria Department of Mechanical Engineering Science University of Johannesburg South Africa Africa Centre of Excellence for Sustainable power and Energy Development ACE-SPED University of Nigeria Nsukka Nigeria Department of Metallurgical and Materials Engineering University of Nigeria Nsukka Distinguished Professor University of South Africa College of Science Engineering and Technology Roodepoort

ISBN: (数字)9798350349689

ISBN: (纸本)9798350349696

Although silicon (Si)-based materials show a great deal of promise for lithium-ion batteries, which store energy, they have several drawbacks that reduce their use. For instance, since they enlarge greatly throughout the lithiation/delithiation process, their capacity rapidly decreases and they only survive a few cycles. It is imperative that this issue be resolved, and changing the anode binder material is a crucial tactic for improving electrode performance. A desirable option in this regard is cashew gum (CG), a biopolymer made from Anacardium occidentale. Cyclic voltammetry, scanning electron microscopy, galvanostatic discharge-charge test were used to analyze the cashew gum electrodes. The excellent morphology of the composite sample of 3 weight percent CG produced using a straightforward method provided an amazing discharge capacity of 875.2 mAhg -1 at a current density of 300 mAg -1 and 120 cycles. The cashew gum binder's ability to address the difficulties related to the anode of silicon energy storage lithium-ion batteries application was validated by the electrochemical tests.

关键词： Lithium-ion batteries Scanning electron microscopy Renewable energy sources Energy resolution Morphology Silicon Discharges (electric)

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Comparative Analysis of Deep Learning-Based Defect Monitoring in Metal Additive Manufacturing

Comparative Analysis of Deep Learning-Based Defect Monitorin...

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Computer, Control and Robotics (ICCCR), International Conference on

作者： Md Hasib Zubayer Chaoqun Zhang Wang Yafei School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Gangdong Laboratory (Zhuhai) School School of Materials Sun Yat-sen University (Shenzhen) and Southern Marine Science and Engineering Shenzhen China

ISBN: (数字)9798350373141

ISBN: (纸本)9798350373158

In metal additive manufacturing (AM), precise realtime defect detection is critical and significantly contributes to the effectiveness of this technology. The recent progress in additive manufacturing industry is increasingly reliant on AI-driven deep learning techniques, which demand substantial computational resources. Therefore, the optimization of software components and their alignment with appropriate hardware configurations are essential for the development of a system capable of realtime inference. This study conducts a comparative analysis of five advanced realtime image processing algorithms: Convolutional Neural Networks (CNN), Single Shot Detector (SSD), Faster Region-based Convolutional Neural Networks (Faster R-CNN), You Only Look Once (YOLO) version 5, and the latest YOLO version 8. The aim is to determine the most rapid and efficient algorithm for defect detection in metal AM. The results reveal that YOLOv8 outperforms CNN, SSD, Faster R-CNN, and other YOLO models in effectiveness, demonstrating a remarkable defect detection accuracy of up to 96% within approximately 288 seconds, a significant improvement over other automated recognition methods. While SSD boasts the fastest detection speeds, YOLOv8 leads in accuracy, highlighting its pivotal role in metal AM defect identification. The evaluation, based on metrics such as accuracy, precision, mean average precision (mAP), recall, and F1 score, assigns mAP values as follows: CNN (72%), Faster R-CNN (77 % ), SSD (73%), and YOLOv5 (89 % ). This comprehensive assessment highlights YOLOv8's outstanding capabilities, establishing it as a frontrunner, albeit slightly slower than SSD in speed, yet surpassing other deep learning models in accuracy and precision.

关键词： YOLO Measurement Deep learning Accuracy Software algorithms Three-dimensional printing Software

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