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Characterization of deformation transition in the rolled LZ91 magnesium alloy under tensile loading

Journal of Magnesium and Alloys 2024年第8期12卷 3173-3179页

作者： Yutaka Yoshida Jun-ichi Shibano Jyunpei Hagikura Ryuhei Misutani Yuto Monden Faculty of Engineering Kitami Institute of TechnologyKoen-choKitamiHokkaido 090-8507Japan Department of Mechanical Engineering Kitami Institute of TechnologyKoenchoKitamiHokkaido 090-8507Japan School of Regional Innovation and Social Design Engineering Intelligent Machines and Biomechanics Course Program Kitami Institute of TechnologyKoen-choKitamiHokkaido 090-8507Japan

In this study,the mechanical behavior of crystal group of hexagonal close-packed(hcp;αphase)and body-centered cubic(bcc;βphase)during tensile loading was investigated to elucidate the mechanism from elastic to plastic deformation transition of the rolled LZ91 Mg alloy using transmission-X-ray diffraction(transmission-XRD)measurement,transmission electron microscopy(TEM),scanning transmission electron microscopy(STEM),energy dispersive X-ray spectroscopy(EDS).The approximate proof stress of the LZ91 Mg alloy sample was found that the lattice strain retained the expanded state from 0.6%nominal strain,and the transmission-XRD measurement characterized the crystalline behavior during the transition by the integrated intensity of crystal group hcp(100).The lattice strain of bcc(110)decreased from the 0.6%nominal strain due to dislocation activity,which occurred nearβ/βgrain *** addition,we performed the analyses of electron energy loss spectroscopy(EELS)modes,the Li-K peak disappeared from the segregated Li regions of 10–60 nm nearβ/βgrain boundary at the nominal strain of 0.8%.Understanding this mechanical behavior during the elastic to plastic deformation transition by transmission-XRD is crucial for the development of Mg-Li alloys.

关键词： Magnesium-lithium alloy Plastic deformation X-ray diffraction Scanning/transmission electron microscopy Electron energy loss spectroscopy

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Extracellular matrix-templating fibrous hydrogels promote ovarian tissue remodeling and oocyte growth

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Bioactive Materials 2024年第2期32卷 292-303页

作者： Claire E.Nason-Tomaszewski Emily E.Thomas Daniel L.Matera Brendon M.Baker Ariella Shikanov Department of Biomedical Engineering University of MichiganAnn ArborMI 48109USA Department of Chemical Engineering University of MichiganAnn ArborMI 48109USA Department of Obstetrics and Gynecology University of MichiganAnn ArborMI 48109USA Cellular and Molecular Biology Program University of MichiganAnn ArborMI 48109USA

Synthetic matrices which mimic the extracellular composition of native tissue create a comprehensive model for studying development and ***,we have engineered a composite material which retains cell-secreted ECM for the culture of ovarian follicles by embedding electrospun dextran fibers functionalized with basement membrane binder(BMB)peptide in PEG *** the presence of ECM-sequestering fibers,encapsulated immature primordial follicles and ovarian stromal cells aggregated into large organoid-like structures with dense deposition of laminin,perlecan,and collagen I,leading to steroidogenesis and significantly greater rates of oocyte survival and *** determined that cell aggregation restored key cell-cell interactions critical for oocyte survival,whereas oocyte growth was dependent on cell-matrix interactions achieved in the presence of *** we have shown that sequestration and retention of cell-secreted ECM along synthetic fibers mimics fibrous ECM structure and restores the cell-cell and cell-matrix interactions critical for engineering an artificial ovary.

关键词： Biomimetic matrix Ovarian follicle Fibrous hydrogels

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Electroencephalography Machine Learning Features and Methods for Early Diagnosis and Classification of Parkinson’s Disease (2013–2023): A Review

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IEEE Sensors Journal 2025年第12期25卷 21017-21032页

作者： Emad-Ud-Din, Muhammad Almuteb, Ibrahim Wang, Ya Hubbard, James E. Texas A&M University Department of Computer Science College StationTX77843 United States Texas A&M University Department of Biomedical Engineering College StationTX77843 United States Department of Electrical and Computer Engineering College Station77843 United States Texas A&M University Department of Mechanical Engineering College StationTX77843 United States

Exploring the Machine Learning (ML) features and methods based on electroencephalography (EEG) and quantitative electroencephalographic (qEEG) holds the potential to early diagnosis and classification of Parkinson’s disease (PD) and can bring convenience to the decision-making process for healthcare professionals. PD is clinically heterogeneous, with high variability between patients in terms of motor and non-motor symptoms. This nature makes it extremely challenging for early diagnosis, and severity classification using traditionally questionnaire-based standards. EEG and qEEG provide objective signals with rich features that can potentially provide a translational alternative. In the past decade, a host of ML-based features and algorithms have been developed to detect and classify PD in patients using a range of EEG and qEEG datasets. Various methodologies, including graph-CNNs, deep RNNs, and hybrid models, are discussed within the context of early diagnosis and classification, each offering unique insights and performance levels. This review highlights the multifaceted nature of PD diagnosis and classification research. It addresses the challenges and limitations encountered in existing techniques, emphasizing the need for further improvements in accuracy, sensitivity, and specificity. This review provides a standardized insight into the evolving landscape of PD diagnosis and classification. It showcases the remarkable progress that has been made in utilizing EEG and qEEG data while emphasizing the ongoing quest for effective and convenient ML based methods for early diagnosis and classification. © 2001-2012 IEEE.

关键词： Electroencephalography

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Recent advances in lung-on-a-chip technology for modeling respiratory disease

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Bio-Design and Manufacturing 2023年第5期6卷 563-585页

作者： Jorge A.Tavares-Negrete Prativa Das Sahar Najafikhoshnoo Steven Zanganeh Rahim Esfandyarpour Department of Electrical Engineering University of CaliforniaIrvineCA 92697USA Department of Biomedical Engineering University of CaliforniaIrvineCA 92697USA Henry Samueli School of Engineering University of CaliforniaIrvineCA 92697USA Laboratory for Integrated Nano Bio Electronics Innovation Henry Samueli School of EngineeringUniversity of CaliforniaIrvineCA 92697USA Department of Mechanical and Aerospace Engineering University of CaliforniaIrvineCA 92697USA Department of Bioengineering University of Massachusetts DartmouthDartmouthMAUSA

Tissue engineering approaches,including those to functional lung tissues,are finely honed by the inclusion of upgraded devices that mimic biophysical and biochemical features in *** culture is one of these essential biophysical characteristics enabled by the introduction of microfluidic devices in recent *** review links the importance of dynamic culture for in vitro maintenance of functional lung cells to the modeling of respiratory *** identify and discuss different parameters for fabricating the requisite microfluidic models for lung cells,as well as their application in modeling lung diseases caused by external factors such as smoking and *** possibility of creating a multi-organ-on-a-chip to establish a more physiologically relevant model is ***,the focus is on different prospects for the in vitro modeling approach and for lungs-on-a-chip for developing advanced,reliable technology to analyze the pathophysiology of respiratory diseases and screen potential treatments.

关键词： Lung-on-a-chip In vitromodeling Lung pathophysiology Respiratory diseases 3D culturemodel

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Unobstructive andsafe-to-wear watt-level wireless charger

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npj Flexible Electronics 2024年第1期8卷 117-131页

作者： Sangjun Kim Jonathan Wells Sarnab Bhattacharya Hamsi Nathan Jiaming He Isabella Tubilla Heeyong Huh Pooja Kakani Ali Farshkaran Praveenkum Pasupathy Jianshi Zhou Emily Porter Nathan Lazarus Nanshu Lu Department of Mechanical Engineering The University of Texas at AustinAustinTXUSA Department of Electrical and Computer Engineering The University of Texas at AustinAustinTXUSA Department of Biomedical Engineering The University of Texas at AustinAustinTXUSA Texas Materials Institute The University of Texas at AustinAustinTXUSA Department of Aerospace Engineering and Engineering Mechanics The University of Texas at AustinAustinTXUSA Department of Electrical and Computer Engineering University of DelawareNewarkDEUSA US Army Research Laboratory AdelphiMDUSA

A wearable microgrid that centralizes and distributes harvested energy across different body regions can optimize power utilization and reduce overall battery *** setup underscores the importance of developing cable-free wireless power transfer(WPT)systems for mobile and portable devices to eliminate the risks posed by wired connections,especially in dynamic and hazardous *** introduce a thin,stretchable,and safe hand band capable of watt-level wireless charging through the widely adopted Qi protocol operating at 130 *** implementation of nonadhesive fabric encapsulation serves to protect the 50-μm-thin spiral copper antenna from mechanical strain,ensuring an overall hand band stretchability of 50%.We also create a stretchable“Ferrofabric”,characterized by a magnetic permeability of 11.3 and a tensile modulus of 75.3 kPa,that provides magnetic shielding for the antenna without compromising ***“Ferrofabric”improves the coil inductance but induces core loss in AC *** fully understanding and managing loss mechanisms such as the skin effect,proximity effect,core loss,and joule heating,we achieve a wireless charging efficiency of71%andpower delivery of 3.81Win the kHz frequency *** band is unobstructive to hand motion and can charge a handheld smartphone as fast as a desktop charger or power a battery-free chest-laminated e-tattoo sensor,with well-managed thermal and electromagnetic *** a holistic electromagnetic,structural,and thermal design,our device culminates in a safe,rugged,and versatile solution for wearable WPT systems.

关键词： antenna charge wear

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mechanical Evaluation of the PEEK Cranial Implants 61

Mechanical Evaluation of the PEEK Cranial Implants

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61st International Scientific Conference on Experimental Stress Analysis, EAN 2023

作者： Varga, Patrik Tóth, Teodor Hudák, Radovan Huňady, Róbert Kostka, Ján Department of Biomedical Engineering and Measurement Faculty of Mechanical Engineering Technical University of Košice Letná 1/9 Sever Košice042 00 Slovakia Department of Applied Mechanics and Mechanical Engineering Faculty of Mechanical Engineering Technical University of Košice Letná 1/9 Sever Košice042 00 Slovakia

ISBN: (纸本)9788055336770

Additive manufacturing and new polymeric progressive biocompatible materials enable the production of individual cranial implants. The advantage of this approach is a reduction in the number of complications during surgery due to inaccuracies in the design and manufacture of the implant. Critical areas of implants are their attachment to the skull and their mechanical properties. The paper deals with the finite element method analysis of force action on a cranial implant made of PEEK. The simulation was made for two methods of fixing the implant to the skull, where in case A, they were used to fix the screw, and in case B, it was only about placing the implant on the defect without fixing it to the bone. © 2024 EAN 2023 - 61st Conference on Experimental Stress Analysis, Proceedings of Full Papers. All rights reserved.

关键词： Finite element method

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Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot

Sub-optimal Perceptron Controller Using WOA Algorithm for Fa...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Pastrana, M.A. Oliveira, L.H. Bautista, J. Pinto-Lopera, Jesus Mendoza-Penaloza, Jose Munoz, Daniel M. University of the Amazonia Faculty of Engineering Systems Undergraduate Program Florencia Caquetá Colombia University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities. The efficacy of ANNs heavily relies on their learning process. Heuristic search algorithms have been proposed in literature as reliable options for optimizing neural networks utilizing the Perceptron architecture. This paper presents an suboptimal neural network Perceptron training method employing the Whale Optimization Algorithm for the application of farming watering mobile robots. To achieve this, a fitness function based on system responses such as overshoot, settling Time, and steady-state Error was developed. The sub-optimal Perceptron controller was then implemented using MATLAB, CoppeliaSim software and the EVA robot, resulting in a 66.17% overshoot, a 4.7% steady-state error, and a settling time of 3.05 seconds. Moreover, the sub-optimal Perceptron controller was mapped onto a System on Chip FPGA AMD-Xilinx Zynq 7020, resulting in a hardware resources consumption of 1,870 (3.52%) Lookup table, 2 (0.9%) Digital Signal Processing blocks, 1,019 (0.96%) Flip-Flops and a power consumtion of 0.005 W. Finally, Hardware-in-The-Loop validation was performed using CoppeliaSim, Python, Universal Direct Memory Access, and the EVA robot. The results showed an overshoot of 94.83%, a settling time of 2 seconds, and a steady-state error of 4.5%. © 2024 IEEE.

关键词： MATLAB

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Bringing Bearing Fault Detection to Embedded Systems Using Low-Cost Machine Learning Techniques

Bringing Bearing Fault Detection to Embedded Systems Using L...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Teixeira, Natalia S. Pastrana, M.A. Moura, Henrique G. Munoz, Daniel M. University of Brasilia Faculty of Gama Automotive Engineering Undergraduate Program Brasilia Brazil University of Brasilia Department of Mechanical Engineering Mechatronics Graduate Program Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Vibration analysis is crucial for predictive maintenance of bearing systems, aiming to reduce costs and prevent failures. This paper investigates signal processing techniques such as FFTs and Hilbert Transforms for fault diagnosis, alongside decision tree models, particularly the J48 algorithm within the WEKA environment, for fault classification. The study emphasizes the integration of signal processing and machine learning for effective fault diagnosis and maintenance. Notably, a classification model with low computational cost has been chosen, facilitating implementation in embedded systems. This model also offers interpretability of outputs, as it is based on decision trees of frequency components obtained through preprocessing. © 2024 IEEE.

关键词： Predictive maintenance

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Real-time trajectory optimization for powered planetary landings based on analytical shooting equations

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Chinese Journal of Aeronautics 2022年第7期35卷 91-99页

作者： Lin CHENG Peng SHI Shengping GONG Zhenbo WANG School of Astronautics Beihang UniversityBeijing 100191China Department of Mechanical Aerospaceand Biomedical EngineeringUniversity of TennesseeKnoxville 37996USA

Traditionally,numerical trajectory integration for shooting equation calculation and iterations for shooting with randomly guessed initial solutions deteriorate the real-time performance of indirect methods for on-board *** this study,the indirect method is improved to achieve real-time trajectory optimization of fuel-optimal powered planetary landings with the help of analytical shooting equation derivations and a practical homotopy ***,the contributions of this paper are ***,the analytical expressions for shooting equation calculation are derived to replace the traditional time-consuming trajectory ***,the computational efficiency is significantly ***,the original three-dimensional landing problem is connected with a simplified one-dimensional problem that only involves the vertical dynamics,and its analytical solution is obtained based on Pontryagin’s minimum ***,starting with the analytical solution,the accurate solution of the original landing problem can be obtained through an adaptive homotopy *** results of Earth landing scenarios are given to substantiate the effectiveness of the proposed techniques and illustrate that the developed method can obtain a fuel-optimal landing trajectory in 5 ms with 100%success rate.

关键词： Adaptive homotopy Analytical solution Fuel-optimal landings Indirect method Real-time control

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Design of FeSiBPCu soft magnetic alloys with good amorphous forming ability and ultra-wide crystallization window

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Journal of Materials Science & Technology 2023年第16期147卷 124-131页

作者： Xingdu Fan Tao Zhang Weiming Yang Junhua Luan Zengbao Jiao Hui Li Jiangsu Key Laboratory for Advanced Metallic Materials School of Materials Science and EngineeringSoutheast UniversityNanjing 211189China Institute of Massive Amorphous Metal Science China University of Mining and TechnologyXuzhou 221116China Center for Advanced Structural Materials Department of Mechanical and Biomedical EngineeringCollege of Science and EngineeringCity University of Hong KongKowloonHong KongChina Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHong KongChina School of Materials Science and Engineering Shanghai UniversityShanghai 200444China

The Fe_(81.3)Si_(4)B_(13–x)PxCu_(1.7) soft magnetic alloys with high Cu and proper P elements addition were synthesized with the aim of ensuring the amorphous forming ability(AFA)while expanding the crystallization window(CW).It is found that the atomic ratio of P/Cu of∼3 is advantageous for AFA whereas a small amount of P addition promotes the precipitation ofα-Fe grains and excessive P addition induces surface crystallization behavior of the present *** Cu concentration can expand the annealing temperature(Ta)window whereas proper P addition effectively expands the annealing time(ta)*** Fe_(81.3)Si_(4)B_(13-x)PxCu_(1.7) soft magnetic alloy was successfully synthesized with a large Ta window of up to 130°C and ta window of 90 min,which is a breakthrough for nanocrystalline alloys with high saturation *** analysis reveals that the ultra-wide CW is related to the unique nucleation mechanism,that is,theα-Fe grains are precipitated attaching to the Cu or CuP clusters and enveloping the Cu clusters,resulting in the high number density ofα-Fe *** ultra-wide CW promises the potential material in flexibly choosing the annealing process according to the performance.

关键词： Nanocrystalline alloys Amorphous forming ability Crystallization window Soft magnetic properties

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