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4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022

作者： Rao, K. B. V. Brahma Prasad, G.N.R. Amudha, S. Kumar, Ashok Prasad, Dvsssv Mohanavel, V. Koneru Lakshmaiah Education Foundation Department of Computer Science & Engineering Andhra Pradesh Vaddeswaram India Department of Mca Telangana Gandipet India Srm Institute of Science and Technology Department of Computational Intelligence Tamil Nadu Kattankulathur India Banasthali Vidyapith Department of Computer Science Rajasthan India Aditya College of Engineering Department of Mechanical Engineering Andhra Pradesh Surampalem India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Tamilnadu India Chandigarh University Department of Mechanical Engineering Punjab Mohali India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Buildings and a lot of other such construction elements include steel as the main part. The quality of the steel is often overlooked. This may lead to fatal consequences when prolonged for a long time. To solve this issue, this study aims to find the best combination of feature extraction and classification technique. For this procedure, a dataset consisting of various types of defects that can occur in steel is collected. This dataset will be used to test and train the models that consist of both feature extraction and classification algorithms. The Gray-Level Co-occurrence Matrix (GLCM) and the Gray-Level Run Length Matrix (GLRM) are two extraction approaches employed in this procedure for clear data extraction from the brain picture. The extracted data is then examined using four Machine Learning (ML) classifiers: SVM or the Support Vector Machine (SVM), the K-Nearest Neighbor (KNN), and the Random Forest (RF). The data are then evaluated further using a confusion matrix to determine a technique with more precision and accuracy. The confusion matrix employs the TPR/FPR-True and False Positive Rate-and TNR/FNR-True and False Negative Rate-concepts. The values are then compared in the form of a bar graph and the combination has higher accuracy and other values. The result of the comparison provides us with the best combination of feature extraction techniques and classifier algorithms that can be used to detect and classify the type of defect from the steel plates and pipes. © 2022 IEEE.

关键词： Support vector machines

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Preparation of Carbon Nanotube/Epoxy Composite Films with Superior Tensile Strength and Toughness

SSRN

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SSRN 2024年

作者： Zhang, Yi Hang Zhan, Hang Mo, Run Wei Zhang, Heng Wang, Jian Nong School of Materials Science and Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China School of Mechanical and Power Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China

Carbon nanotubes (CNTs) have been considered as promising reinforcements for various composites due to their excellent mechanical properties. However, CNT/resin composites prepared so far still suffer from bad dispersion, low mass fraction, and poor alignment of CNTs and their weak bonding with the resin matrix. Herein, we report an effective strategy towards preparing CNT/epoxy (EP) composite films with excellent mechanical properties. Firstly, from floating catalytic spray pyrolysis, CNTs are continuously deposited on a substrate make a thin film. The pristine film is then immersed in solutions of different EP concentrations under pressure and stretched to different strains for resin infiltration and CNT reorientation. The film was finally pressed at a low temperature for resin redistribution and then at a high temperature for resin curing. The determining factors such as the alignment and mass fraction of CNTs and the distribution of EP resin in the composite film can be easily tailored. Benefiting from a high CNT content (60.56 wt.%), excellent CNT alignment from repeated prestretching, and uniform resin distribution between CNTs from pressurized impregnation and low temperature pressing, the composite film can achieve excellent mechanical properties, including a tensile strength of 4.1 GPa, elongation at break of 3.8%, and toughness of 77.9 J cm-3. Such a strength and toughness are superior to those for the previous CNT and carbon fiber composites published in the literature. © 2024, The Authors. All rights reserved.

关键词： Tensile strength

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In-Situ Infrared Camera Monitoring for Defect and Anomaly Detection in Laser Powder Bed Fusion: Calibration, Data Mapping, and Feature Extraction

arXiv

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arXiv 2024年

作者： Hinnebusch, Shawn Anderson, David Bostan, Berkay To, Albert C. Department of Mechanical Engineering and Materials Science University of Pittsburgh Benedum Hall 3700 O'Hara Street PittsburghPA15261 United States

Laser powder bed fusion (LPBF) process can incur defects due to melt pool instabilities, spattering, temperature increase, and powder spread anomalies. Identifying defects through in-situ monitoring typically requires collecting, storing, and analyzing large amounts of data generated. The first goal of this work is to propose a new approach to accurately map in-situ data to a three-dimensional (3D) geometry, aiming to reduce the amount of storage. The second goal of this work is to introduce several new IR features for defect detection or process model calibration, which include laser scan order, local preheat temperature, maximum pre-laser scanning temperature, and number of spatters generated locally and their landing locations. For completeness, processing of other common IR features, such as interpass temperature, heat intensity, cooling rates, and melt pool area, are also presented with the underlying algorithm and Python implementation. A number of different parts are printed, monitored, and characterized to provide evidence of process defects and anomalies that different IR features are capable of detecting. © 2024, CC BY-NC-ND.

关键词： Defects

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Finite Element Analysis for the Virtual Surgical Planning of Stiffnessmatched Personalized Load-bearing Percutaneous Implants 6

Finite Element Analysis for the Virtual Surgical Planning of...

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6th CIRP Conference on BioManufacturing, BioM 2024

作者： Olivas-Alanis, Luis H. Sanguedolce, Michela Souza, Jason M. Dean, David Department of Materials Science and Engineering The Ohio State University 140 W 19th Ave ColumbusOH43210 United States Department of Mechanical Energy and Management Engineering University of Calabria via Pietro Bucci RendeCS 87036 Italy Department of Reconstructive and Plastic Surgery The Ohio State University 915 Olentangy River Rd. ColumbusOH43212 United States

Osseointegrated, percutaneous intramedullary abutments provide a new opportunity to increase freedom of movement, dexterity, and power of prosthetic upper and lower extremities. Device deployment is based on the physician's experience and judgment as no biomechanical information is available or choice of implant location, shape, and materials. Furthermore, there is little opportunity for personalization to improve performance and reduce the risk of stress shielding-induced bone loss or stress concentration-induced device failure. We present a Virtual Surgical Planning (VSP) environment for assessing the expected mechanical outcome of physician choice in the placement site of a percutaneous implant. Starting from de-identified patient images, a virtual anatomical model is created to emulate the surgical implantation procedure. After digitally implanting the intramedullary component-abutment system, the mechanical performance is computationally evaluated via Finite Element Analysis (FEA) under representative in vivo static loading conditions. Our computational analysis includes two different materials for the implant: medical-grade Surgical Grade 5 Titanium alloy (Ti-6Al-4V) and super-elastic Nickel-Titanium (NiTi). The resulting analysis can inspire future design personalization and deployment in an open surgical procedure. Our VSP approach would allow interactive assessment of device location, materials, and performance to alter the normal stress-strain distribution in the bone, potentially avoiding stress shielding and device failure. Future stiffness-matching strategies (e.g., incorporation of internal porosity, new materials, or novel implant geometry), and their effect on implant strength could be evaluated in our computational model. © 2024 The Authors.

关键词： Titanium alloys

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Brain-Mimicking Phantom for Photoablation and Visualization

Brain-Mimicking Phantom for Photoablation and Visualization

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International Symposium on Medical Robotics (ISMR)

作者： Ravi Prakash Kent K. Yamamoto Siobhan R. Oca Weston Ross Patrick J. Codd Department of Mechanical Engineering and Materials Science Duke University. Department of Neurosurgery Duke University School of Medicine

While the use of tissue-mimicking (TM) phantoms has been ubiquitous in surgical robotics, the translation of technology from laboratory experiments to equivalent intraop-erative tissue conditions has been a challenge. The increasing use of lasers for surgical tumor resection has introduced the need to develop a modular, low-cost, functionally relevant TM phantom to model the complex laser-tissue interaction. In this paper, a TM phantom with mechanically and thermally similar properties as human brain tissue suited for photoablation studies and subsequent visualization is developed. The proposed study demonstrates the tuned phantom response to laser ablation for fixed laser power, time, and angle. Additionally, the ablated crater profile is visualized using optical coherence tomography (OCT), enabling high-resolution surface profile generation.

关键词： Visualization Young's modulus Medical robotics Power lasers Phantoms Laser modes Brain modeling

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Interfacial engineering of lithium-polymer batteries with in situ UV cross-linking

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InfoMat 2021年第9期3卷 1016-1027页

作者： Ramin Rojaee Samuel Plunkett Md Golam Rasul Meng Cheng Vahid Jabbari Reza Shahbazian-Yassar Mechanical and Industrial Engineering Department University of Illinois at ChicagoChicagoIllinoisUSA Materials Science Division Argonne National LaboratoryLemontIllinoisUSA Department of Chemical Engineering University of Illinois at ChicagoChicagoIllinoisUSA

Developing promising solid-state Li batteries with capabilities of high current densities have been a major challenge partly due to large interfacial resistance across the electrode/electrolyte *** work represents an integrated network of self-standing polymer electrolyte and active electrode materials with in situ UV *** method provides a uniform morphology of composite polymer electrolyte with low thickness of 20-40μ*** modification leads to promising cycling results with 85%specific capacity retention in LijjLiFePO4 cell over 100 cycles at high current densities of 170 mA g1(~25μA cm^(-2),1 C).By applying this method,the interfacial resistance decreases as high as seven folds compared to noncross-linked *** following work introduce a facile and cost-effective method in developing fastcharging self-standing polymer batteries with enhanced electrochemical properties.

关键词： electrochemical impedance spectroscopy interfacial engineering lithium batteries selfstanding polymer electrolyte

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Enhanced dynamic impact resistance of UHMWPE fabrics impregnated with double-thickening shear thickening fluid

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Defence Technology 2025年

作者： Meng, Yiting Chen, Heyu Lin, Hengyu Lu, Zhehong Hu, Yubing Zhang, Yanan College of Materials Science and Engineering Nanjing Tech University Nanjing211816 China National Special Superfine Powder Engineering Research Center of China Nanjing University of Science and Technology Nanjing210014 China School of Mechanical & Aerospace Engineering Queen's University Belfast BelfastBT9 5AH United Kingdom

Inspired by the thermal stability mechanism of thermophilic protein, which presents ionic bonds that have better stability at higher temperatures, this paper proposes the introduction of electrostatic interactions by adding carboxyl-modified silica (C-SiO2), PAA, and CaCl2 to achieve higher viscosity over 25 °C. The rheological behavior of C-SiO2-based shear thickening fluid (CS-STF) was investigated at a temperature range of 25–55 °C. Unlike SiO2-based STF, which exhibits single-step thickening and a negative correlation between viscosity and temperature. As the C-SiO2 content was 41% (w/w) and the mass ratio of PAA:CaCl2:C-SiO2 was 3:1:10, the CS-STF displayed a double-thickening behavior, and the peak viscosity reached 1330 Pa·s at 35 °C. From the yarn pull-out test, the inter-yarn force was significantly increased with the increasing CS-STF content. Treating UHMWPE fabrics with CS-STF improved the impact resistance effectively. In the blunt impact test, the U-CS fabrics with high CS-STF content (121.45 wt%) experienced penetration failure under high impact energy (18 J) due to stress concentration caused by the shear thickening behavior. The knife stabbing test demonstrated that U-CS fabrics with appropriate content (88.38 wt%) have the best stabbing resistance in various impact energies. Overall, this study proposed a high-performence STF showing double-thickening and enhancing shear-thickening behavior at a wide temperature range, the composite fabrics with the performance of resisting both the blunt and stab impact had broad application prospects in the field of personal protection. © 2025 China Ordnance Society

关键词： Viscosity

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Characterization of biodiesels and tire derived particulate matters in morphology and nanostructure

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materials Today: Proceedings 2022年 66卷 2756-2761页

作者： Oh, Ban-seok Karin, Preechar Srilomsak, Mek Chonvasin, Kritin Po-ngen, Watcharin Srimanosaowapak, Sompong Hanamura, Katsunori School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Department of Teacher Training in Mechanical Engineering Faculty of Technical Education King Mongkut's University of Technology North Bangkok Bangsue Bangkok 10800 Thailand National Metal and Materials Technology Center National Science and Technology Development Agency Pathum Thani 12120 Thailand School of Engineering Tokyo Institute of Technology Tokyo 152-8550 Japan

Particulate Matters (PM) are known to be dangerous to human health and the environment. Regulations have been set to limit PM levels from vehicles, including compression ignition engine vehicles. The effect of increasing biodiesel content in the fuels has been investigated with respect to the PM using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). PM from tire emissions were compared against diesel PM using SEM, energy dispersive x-ray spectroscopy (EDS), TEM, particle size analysis, x-ray diffraction (XRD), and Raman spectroscopy (RS). The SEM and TEM show that increasing the biodiesel content decreased the size of the PM agglomerate particles, primary particles, and fringes. The EDS, RS, and XRD show that Tire PM are mostly carbon with silicon, calcium, zinc, and other various trace elements. They also allow comparisons with diesel PM for the carbon nanostructure. The particle size analysis shows that Tire PM are generally larger than engine derived PM. The TEM showed that the nanostructure of the carbonaceous Tire PM was the same fringe structure as the engine derived PM. The Tire PM was successfully characterized using similar methods as engine derived soot. There is strong relationship between the increasing of biodiesel content and reduction of agglomerate size, primary particle size and average fringe length. © 2022

关键词： Scanning electron microscopy

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Alleviating mechanical degradation of hexacyanoferrate via strain locking during Na^(+) insertion/extraction for full sodium ion battery

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Nano Research 2022年第3期15卷 2123-2129页

作者： Jianguo Sun Hualin Ye Jin An Sam Oh Yao Sun Anna Plewa Yumei Wang Tian Wu Kaiyang Zeng Li Lu Department of Mechanical Engineering National University of SingaporeSingapore 117575Singapore National University of Singapore Chongqing Research Institute Chongqing 401123China Department of Chemical&Biomolecular Engineering National University of SingaporeSingapore 117585Singapore Integrative Sciences and Engineering Programme NUS Graduate SchoolNational University of SingaporeSingapore 138632Singapore Singapore Institute of Manufacturing Technology A*STAR(Agency for ScienceTechnologyand Research)Singapore 138634Singapore School of Science Harbin Institute of TechnologyShenzhen 518055China Faculty of Energy and Fuels AGH University of Science and Technology al.Mickiewicza 30 30-059 KrakowPoland Institute of Materials Research and Engi

Generation of large strains upon Na^(+) intercalation is one of the prime concerns of the mechanical degradation of Prussian blue(PB)and its *** construction from the atomic level is imperative to maintain structural stability and ameliorate the long-term stability of ***,an inter nickel hexacyanoferrate(NNiFCN)is successfully introduced at the out layer of iron hexacyanoferrate(NFFCN)through ion exchange to improve structural stability through compressive stress locking by forming NNiFCN ***,the kinetics of sodium ion diffusion is enhanced through the built-in electric *** electrochemical performance is therefore significantly improved with a remarkable long-term cycling stability over 3,000 cycles at 500 mA·g^(–1) in the full sodium-ion batteries(SIBs)with a maximum energy density of 91.94 Wh·g^(–1),indicating that the core-shell structured NNiFCN/NFFCN could be the low-cost and high-performance cathode for full SIBs in large-scale EES applications.

关键词： mechanical degradation core-shell structure Prussian blue full sodium-ion battery built-in electric field

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Effective non-halogen flame-retardants combined with nSiO_(2)particles to improve thermal stability and fire resistance of high-performance polyurethane nanocomposite foams

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Journal of materials science & Technology 2024年第36期203卷 1-13页

作者： Lam H.Pham Ngoc Thuy Nguyen Dang Mao Nguyen Tuan An Nguyen Tan Binh Nguyen Jonghwan Suhr Tien Dung Nguyen Mourad Rahim Anh Dung Tran-Le Lucas Terrei Rabah Mehaddi Yuri Ferreira da Silva Patrick Perré DongQuy Hoang Faculty of Materials Science and Technology University of ScienceVietnam National UniversityHo Chi Minh 700000Vietnam Vietnam National University Ho Chi Minh City 700000Vietnam Universitéde Lorraine LERMAB186 Rue de Lorraine 54400 Cosnes-et-RomainFrance Department of Polymer Science and Engineering Sungkyunkwan UniversitySuwon-si 16419Republic of Korea School of Mechanical Engineering Sungkyunkwan UniversitySuwon-si 16419Republic of Korea Institute of Applied Materials Science Vietnam Academy of Science and Technology01B TL29 District 12Ho Chi Minh City 700000Vietnam Laboratory of Technologies Innovative(LTI) University of Picardie Jules VerneLe Bailly 80025 Amiens CedexFrance Universitéde Lorraine CNRSLEMTANancy F-54000France UniversitéParis-Saclay CentraleSupélecLaboratoire de Génie des Procédés et MatériauxSFR Condorcet FR CNRS 3417Centre Européen de Biotechnologie et de Bioéconomie(CEBB)3 rue des Rouges Terres 51110 PomacleFrance

This study focuses on the improvement of the thermal stability and flame-retardant performance of polyurethane(PU)foam by using effective flame-retardant additives and nano silica(nSiO_(2))particles from rice *** addition of non-halogen flame retardants(FRs)including aluminum trihydroxide(ATH),triphenyl phosphate(TPP),and diammonium phosphate(DAP)leads to markedly enhanced thermal sta-bility and fire resistance of the PU/nSiO_(2)/FRs nanocomposites,resulting in achieving UL-94 HB *** particular,the nanocomposites met the UL-94 V-0 criteria thanks to the inclusion of DAP at 25 *** LOI value of the nanocomposites reached 26%which is much higher than that of PU/nSiO_(2)nanocompos-ite,about 20%.In order to further understand the fire-proof mechanism,the residue char layer remaining of the PU/nSiO_(2)/FRs nanocomposites after being burned was also investigated by scanning electron mi-croscopy(SEM)and Fourier transform infrared(FTIR).In addition,the microstructure,thermal stability,thermal conductivity,and mechanical properties of nanocomposites were also evaluated in this study.

关键词： Flame retardancy Polyurethane/nsio2 nanocomposite Aluminum hydroxide Diamonium hydrogen phosphate Thermal stability Nano silica from rice husk

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