检索结果-内蒙古大学图书馆

Spurious-mode vibrations caused by alternating current poling and their solution process for Pb(Mg_(1/3)Nb_(2/3))O_(3)-PbTiO_(3) single crystals

引用

Journal of Materiomics 2022年第1期8卷 96-103页

作者： Yiqin Sun Tomoaki Karaki Tadashi Fujii Yohachi John Yamashita Department of Intelligent Robotics Toyama Prefectural UniversityImizu9390398ToyamaJapan Mechanical&Aerospace Engineering North Carolina State UniversityRaleighNC27695-7910USA

The effects of alternating current poling(ACP)at 80℃on electrical properties of[001]-oriented 0.72 Pb(Mg_(1/3)Nb_(2/3))O_(3)-0.28PbTiO_(3)(PMN-28PT)single crystals(SCs)have been *** square-wave ACP SCs poled at high voltage(HV,5 kV_(rms)/cm)occasionally showed large fluctuations and low opposite values of piezoelectric coefficient(d_(33)=±1370 pC/N)in one *** revealed spuriousmode vibrations(SMV)of impedance ***,after depolarizing and repolarizing the sample with a sine-wave ACP at low voltage(LV,3.5 kV_(rms)/cm),the d_(33) enhanced to be 1720 pC/N(+26%)and did not exhibit large fluctuation or opposite values in one plate any *** impedance spectrum became clean and the abnormal SMV *** proposed four possible mechanisms of the SMV,and speculate that the main cause maybe by macro-scale sub-domain structure and/or phase change in the main domain structure and/or phase in the SC plate due to the specific poling conditions not eternal mechanical damage of PMN-PT *** study will be useful to realize a high d_(33) and improve other properties of PMN-PT ACP SC ultrasonic transducers without any SMV for high-frequency medical imaging equipment.

关键词： Alternating current poling Ferroelectric single crystal Ultrasonic transducer Spurious mode vibration Piezoelectric property

来源：评论

学校读者我要写书评

暂无评论

Direct Data-Driven Control-Based Additive Feedforward Compensation for Fast and Precise Positioning Control*

Direct Data-Driven Control-Based Additive Feedforward Compen...

引用

IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Daigo Yamaguchi Shimpei Sato Yoshihiro Maeda Department of Engineering Electrical and Mechanical Engineering Program Nagoya Institute of Technology Nagoya Japan

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

In industrial positioning systems where rapid response and high-precision are crucial, minor model inaccuracies due to unknown dynamics and identification errors in controller design significantly impede achieving desired positioning accuracy. This paper introduces and evaluates a novel, direct data-driven control-based additive feedforward (FF) compensation method, aimed at enhancing precision in positioning while streamlining the design process. The purpose of this additive FF compensation is to attenuate undesirable error responses resulting from modeling errors in the existing model-based FF design. The proposed method enhances control performance by utilizing data-driven prediction of positioning response and optimizing the predicted response. Moreover, this work presents a newly developed design theory for the additive FF controller and highlights its design efficiency. The effectiveness of the proposed approach is substantiated through comprehensive experiments with a galvano scanner in printed circuit board laser drilling applications, demonstrating significant improvements in positioning accuracy and response time.

关键词： Drilling Laser theory Additives Accuracy Mechatronics Design methodology Printed circuits

来源：评论

学校读者我要写书评

暂无评论

Design and Optimization of the Porous Metamaterial EM Absorbers in X-band

Design and Optimization of the Porous Metamaterial EM Absorb...

引用

2023 IEEE Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMC+SIPI 2023

作者： Anurakparadorn, Kanat Taub, Alan Michielssen, Eric University of Michigan Macromolecular Science and Engineering Program Department of Material Science and Engineering Ann ArborMI United States University of Michigan Department of Mechanical Engineering Ann ArborMI United States University of Michigan Department of Electrical Engineering and Computer Science Ann ArborMI United States

ISBN: (纸本)9798350309768

A strategy that combines experiment and simulation to design and optimize electromagnetic (EM) metamaterial absorbers containing a periodic porous structure is described. The approach provides the ability to produce absorbers that meet multiple user-specified objectives. Using the measured intrinsic properties of the baseline materials as an input to EM-field based computational modelling and optimization, absorption by the studied metamaterials measured by their reflection loss (RL) increases significantly. The resulting metamaterials have the potential for lower cost and lighter weight while providing greater protection than traditional metal gaskets and foams. © 2023 IEEE.

关键词： Metamaterials

来源：评论

学校读者我要写书评

暂无评论

Towards Design and Development of a Soft Pressure Sensing Sleeve for Performing Safe Colonoscopic Procedures

Towards Design and Development of a Soft Pressure Sensing Sl...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Mohammad Rafiee Javazm Sonika Kiehler Ozdemir Can Kara Farshid Alambeigi Walker Department of Mechanical Engineering and Texas Robotics University of Texas Austin TX USA

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In this paper, with the goal of enhancing the safety of current colonoscopic procedures and providing the pressure and location of the contact between the colonoscope and the colon’s surface, we propose design and development of a unique Soft Pressure Sensing Sleeve (SPSS). SPSS can seamlessly be integrated with the existing colonoscopic devices and would not change the existing diagnosis workflow. The pressure sensing of SPSS is performed based on the resistance change of a liquid metal (i.e., Gallium) embedded into several micro-channels located within SPSS’s deformable sleeve when it interacts with the colon surface. To demonstrate functionality of the SPSS, without loss of generality, in this paper, we designed and fabricated a SPSS with 4 sensing regions. We also proposed and experimentally evaluated an empirical calibration function for this sensor. Results demonstrate high accuracy (RMSE=2.45 and mean absolute error <3%) of the proposed calibration function compared with the evaluation experiments.

关键词： Performance evaluation Liquids Gallium Surface resistance Robot sensing systems Sensors Calibration Safety Colon Intelligent robots

来源：评论

学校读者我要写书评

暂无评论

Advances in Wireless,Batteryless,Implantable Electronics for Real‑Time,Continuous Physiological Monitoring

引用

Nano-Micro Letters 2024年第3期16卷 254-302页

作者： Hyeonseok Kim Bruno Rigo Gabriella Wong Yoon Jae Lee Woon‑Hong Yeo IEN Center for Wearable Intelligent Systems and Healthcare Georgia Institute of TechnologyAtlantaGA 30332USA George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Georgia Tech and Emory University School of MedicineAtlantaGA 30332USA Parker H.Petit Institute for Bioengineering and Biosciences Institute for MaterialsInstitute for Robotics and Intelligent MachinesGeorgia Institute of TechnologyAtlantaGA 30332USA

This review summarizes recent progress in developing wireless,batteryless,fully implantable biomedical devices for real-time continuous physiological signal monitoring,focusing on advancing human health *** considerations,such as biological constraints,energy sourcing,and wireless communication,are discussed in achieving the desired performance of the devices and enhanced interface with human *** addition,we review the recent achievements in materials used for developing implantable systems,emphasizing their importance in achieving multi-functionalities,biocompatibility,and *** wireless,batteryless devices offer minimally invasive device insertion to the body,enabling portable health monitoring and advanced disease ***,we summarize the most recent practical applications of advanced implantable devices for human health care,highlighting their potential for immediate commercialization and clinical uses.

关键词： Implantable electronics Biomedical systems Batteryless devices Wireless electronics Physiological signal monitoring

来源：评论

学校读者我要写书评

暂无评论

Analysis of VSC-HVDC System in the Asynchronously Operating Grids During AC Line Faults 1

Analysis of VSC-HVDC System in the Asynchronously Operating ...

引用

1st IEEE International Conference on Smart and Sustainable Developments in Electrical engineering, SSDEE 2025

作者： Tiwari, Ravi Shankar Sinha, Ashish Kumar Kumar, Prashant GLA University Department of Electrical Engineering Mathura India Dongguk University Department of Mechanical Robotics and Energy Engineering Seoul04620 Korea Republic of

ISBN: (纸本)9798331542108

The growing energy demand and ruler electrification accelerates the integration of synchronously and asynchronously operating grids. Generation based on hydro, wind or solar may operate at a frequency slightly different than the national grid due to its intermittent nature and operational constraints. It is important to integrate the generation of various sources to improve grid reliability. Wind energy farms are usually integrated into the grid using VSC (voltage source converters)-HVDC systems. Faults on either side of the HVDC link may create operational and stability issues for interconnecting the HVDC link. The fault ride-through is the ability of the VSC-HVDC system to remain connected with the grid during faults. This paper explores and analyzes the fault ride-through ability of a± 100kV, 200 MW two-level VSC-HVDC to maintain interconnections between grids, especially during the presence of intermittent sources like wind farms at one end of the VSC-HVDC system. © 2025 IEEE.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

Prediction of directivity characteristics of piezoelectric macro-fiber composite interdigital transducers: a semi-analytical approach

e-Journal of Nondestructive Testing

引用

e-Journal of Nondestructive Testing 2024年第7期29卷

作者： Raorane, Siddhesh Ambrozinski, Lukasz Stepinski, Tadeusz Packo, Pawel Department of Robotics and Mechatronics Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow30-059 Poland

The employment of guided waves for structural health monitoring applications has attracted substantial attention in recent years. Piezoelectric transducers are frequently employed in these systems for elastic wave generation and acquisition. Their dynamic properties, i.e., direction-dependent frequency characteristics such as directivity patterns, are an important feature for designing a reliable monitoring strategy. Although analysis of the transducer directivity pattern can be performed using finite element models, these usually tend to be computationally very expensive, especially for parametric and optimization studies. In this paper, a semi-analytical framework is proposed that can predict the far-field directivity patterns of complex transducers of arbitrary shape and structure mounted on a substrate. The framework described in this paper integrates analytical far-field predictions with a local finite element model evaluating the traction field produced by the transducer. Consequently, the FE model accurately captures near-field responses, whereas the analytical component predicts the far-field responses. The implementation of this semi-analytical framework requires the development of analytical and numerical approaches. The former includes computation of dispersion curves of the inspected plate, the stress and displacement profiles of wave modes, and ultimately, the excitability relations, while the latter includes estimation of the traction field between the transducer and the plate using the FE model. Owing to the popularity of piezoelectric macro-fiber composite (MFC) transducers, in this paper, we apply the proposed method to predict the directivity patterns of MFC M2807-P2 transducer. To validate the reliability of the proposed method, the predicted patterns are compared with experimental results obtained using Laser Doppler Vibrometer. © 2024, NDT. net GmbH and Co. KG. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Artificial Neural Networks for the Forward Kinematics of a SCARA Manipulator: A Comparative Study with Two Datasets

Artificial Neural Networks for the Forward Kinematics of a S...

引用

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024

作者： Bouzid, Rania Narayan, Jyotindra Gritli, Hassène Tunis Borj Cedria1164 Tunisia Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Assam Guwahati781039 India Le Belvédère Tunis1002 Tunisia

ISBN: (纸本)9798350372229

In the field of robotics and automation, the precise determination of manipulator positions is a fundamental aspect with widespread applications. Despite the significance of analytical methods, solving the Forward Kinematics (FK) for Selective Compliance Assembly Robot Arm (SCARA) manipulator robots can be complex and computationally intensive. Our research introduces a method to address the FK problem for the four degrees of freedom (4-DoF) SCARA manipulator through Artificial Neural Networks (ANNs). We utilize two different generated datasets, one with a fixed step size and another one based on a sinusoidal signal, for training the ANNs. This choice of datasets allows us to assess the ANN s' generalization capabilities across a range of operating conditions. Thereafter, the study is planned to investigate the ANN's performance while employing three distinct training algorithms: Levenberg-Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG). Through a comprehensive comparison of the performance of different ANN models, different training algorithms, and the two adopted generated datasets, this study provides valuable insights into selecting the most optimal training configurations for the SCARA robot's FK solutions. We employ the Mean Squared Error (MSE) and the error histogram as two performance metrics to assess the accuracy of various ANNs. The results reveal that optimal MSE outcomes were obtained when utilizing a balanced architecture with three hidden layers in the analysis of the sinusoidal-signal-based datasets. © 2024 IEEE.

关键词： Artificial Neural Network Fixed-step- and sinusoidal-signal-based datasets Forward kinematics SCARA manipulator robot Training optimizers

来源：评论

学校读者我要写书评

暂无评论

Model-Based Estimation of Active and Passive Muscle Forces Using MRE in Forearm Muscles During 2-DOF Wrist Tasks

Model-Based Estimation of Active and Passive Muscle Forces U...

引用

IEEE/RAS-EMBS International Conference on Biomedical robotics and Biomechatronics (BioRob)

作者： Cody A Helm Fabrizio Sergi Department of Biomedical and Mechanical Engineering Human Robotics Laboratory University of Delaware Newark DE

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Magnetic resonance elastography (MRE)-based muscle force estimation methods have been proposed to estimate individual muscle forces based on measurements of shear wave speed and joint torque in multiple postures. To estimate both the slope and offset parameters of the relationship between shear wave speed and muscle force, it is necessary to collect measurements in a plethora of postures in case of substantial muscle redundancy. However, anisotropic MRE requires a structural and diffusion-tensor imaging scan in each posture, which is infeasible given the time constraints of MRI imaging. The objectives of this work were to develop a muscle force estimator with sufficient accuracy that would only require a limited set of postures, and to evaluate its effectiveness under a variety of measurement conditions. We developed a novel MRE-based muscle force estimator, which decouples shear wave speed into its active and passive components and solves for the slope and offset parameters, independently. We assessed the effectiveness of the proposed estimator under different simulated measurement conditions, with varying levels of noise, and compared it to the original MRE-based estimator. The proposed estimator results in a reduction in the estimation error for the offset parameter, for all muscles, without significant degradation in the estimation error for the slope parameter. However, the proposed muscle force estimator does not improve the goodness-of-fit or the cross-validation error compared to the original estimator. In conclusion, the proposed MRE-based muscle force estimator improves the estimation of muscle-specific parameters and may yield increased muscle force estimation performance.

关键词： Wrist Estimation error Force measurement Torque Force Muscles Biomedical measurement Time measurement Torque measurement Time factors

来源：评论

学校读者我要写书评

暂无评论

Feedforward Backpropagation Artificial Neural Network for Modeling the Forward Kinematics of a Robotic Manipulator

Feedforward Backpropagation Artificial Neural Network for Mo...

引用

2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023

作者： Bouzid, Rania Narayan, Jyotindra Gritli, Hassene Higher Institute of Information and Communication Technologies Tunis1164 Tunisia Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Guwahati781039 India National Engineering School of Tunis Tunis1002 Tunisia

ISBN: (纸本)9798350307771

Determining an end-effector position and orientation, known as forward kinematics (FK), is a crucial aspect of robotic manipulation. This research addresses the FK problem using a Feedforward Backpropagation Artificial Neural Network (FFBP-ANN) and examines the network's performance with different hyperparameters. The input of the FFBP-ANN is primarily formed using three different datasets: fixed-step values, random values, and sinusoidal-signal based values, for a 2-DOF robotic manipulator. The output of the FFBP-ANN is evaluated using FK formulation of the robot manipulator. Thereafter, the FFBP-ANN is trained utilizing the input-output training dataset using The Neural Network Toolbox for MATLAB. The network's potential is investigated by varying the critical hyperparameters, including the number of hidden neurons and the number of hidden layers. Moreover, the effectiveness of the proposed FFBP-ANN is investigated with three different training optimizers including the utilization of Levenberg-Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient optimization algorithms. During training, by adjusting the network's weights and biases iteratively, the backpropagation technique allows the network to effectively learn and comprehend the relationship between joint positions and Cartesian coordinates. The comparative results offer valuable insights into the strengths and limitations of different ANN architectures when applied to solving FK problems. In this way, this study focuses on exploring the application of the FFBP-ANN in resolving FK challenges and assisting in the identification of appropriate network types for path-planning tasks. © 2023 IEEE.

关键词： End effectors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：