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A diluent protective organic additive electrolyte of hydrophilic hyperbranched polyester for long-life reversible aqueous zinc manganese oxide batteries

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Frontiers of Materials Science 2023年第2期17卷 65-78页

作者： Hengxin Xu Song Yang Yufeng Chen Junle Xiong Shengtao Zhang Fang Gao Zhengyong Huang Hongru Li College of Chemistry and Chemical Engineering Chongqing UniversityChongqing 400044China Chongqing Kunding Environmental Protection Technology Co.Ltd.Chongqing 400044China State Key Laboratory of Power Transmission Equipments and System Security and New Technology Chongqing UniversityChongqing 400044China

hydrophilic hyperbranched polyester(poly(tetramethylol acetylenediurea(TA)-CO-succinyl chloride)(PTS))was proposed to be used as an organic additive in aqueous ZnSO_(4)electrolyte to achieve a highly reversible zinc/manganese oxide *** is found that the zinc symmetric battery based on the 2.0 wt.%PTS/ZnSO_(4)electrolyte showed a long cycle stability of more than 2400 h at 1.0 mA·cm^(-2),which is much longer than that including the blank ZnSO_(4)electrolyte(140 h).Furthermore,the capacity retention of the Zn||MnO_(2)full cells employing the 2.0 wt.%PTS/ZnSO_(4)electrolyte remained 85%after 100 cycles at 0.2 A·g^(1),which is much higher than 20%capacity retention of the cell containing the blank ZnSO_(4)electrolyte,and also greater than 59.6%capacity retention of the cell including the 10.0 wt.%TA/ZnSO_(4)*** using 2.0 wt.%PTS/ZnSO_(4)electrolytes,the capacity retention of the Zn||MnO_(2)full cells even reached 65%after 2000 cycles at a higher current density of 1.0 A·g^(1).It is further demonstrated that the PTS was firmly adsorbed on the zinc anode surface to form a protective layer.

关键词： aqueous zinc-ion battery hydrophilic branched polyester Zn anode protection Zn dendrite adsorption

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Reliability Lifetime Prediction of SiC IGBT Devices with Different Packaging Approaches 17th

Reliability Lifetime Prediction of SiC IGBT Devices with Dif...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Li, Hui Chen, Siyu Yao, Ran Zhou, Bailing Lai, Wei Li, Jinyuan Chen, Zhongyuan Li, Yaosheng State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing400044 China State Key Laboratory of Advanced Transmission Technology Global Energy Interconnection Research Institute Co Ltd. Beijing102209 China

ISBN: (纸本)9789819904075

In this paper, the reliability lifetime of SiC IGBT devices is predicted with wire-bonded packaging and press-pack packaging approaches. Firstly, the electro-thermal-mechanical coupling models of SiC IGBT devices with different packaging approaches are established. Secondly, the steady-state and the power cycling simulation studies are carried out to analyze the difference of internal stress and weak point between the two packaging structures of SiC IGBT devices. Finally, the reliability lifetime model of SiC IGBT devices with different packaging approaches is proposed. The influences of junction temperature fluctuation, average temperature, and conduction current condition on the lifetime of SiC IGBT devices are evaluated. The results show that the SiC IGBT chip with the press-pack packaging has a higher lifetime than the wire-bonded packaging, and it is helpful for the packaging designing of ultra-high voltage SiC IGBT device in the future. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Silicon carbide

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Real-Time Break-Through Detection in Craniotomy Using Long Short-Term Memory Networks

Real-Time Break-Through Detection in Craniotomy Using Long S...

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IEEE International Conference on robotics and Biomimetics

作者： Yunle Chen Xingjian Shen Xianghe Meng Hui Xie State key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

An important step before the implantation of an invasive brain-computer interface (BCI) is craniotomy, which provides direct access to the brain. During the craniotomy, the precision of cranial drilling is critical, as any deviation or exces-sive penetration can pose significant risks, potentially leading to severe brain injury. Traditional methods of force signal analysis lack effective feedback in complex situations, leading to a risk of over-drilling and potential brain damage. Here, we proposes a Long Short-Term Memory (LSTM) neural network to detect the break-through of the drill bit in real-time. Thrust force data from five drilling experiments on a fancy rat skull specimen are collected. The force data are then split into 0.2-second intervals corresponding to different stages of the drilling process. An LSTM network is trained with these labeled datasets to detect changes in the drilling stage, thereby determining the break-through point. The trained classicfication network gets a accuracy of 96%. Practical drilling experiments on a fancy rat skull specimen validates the feasibility and accuracy of the break-through detection algorithm. The experimental results demonstrate that the method can achieve an over-penetration distance within 15 μm, which is safe for performing craniotomy in rats. Given that this method ensures safety for the stringent requirements of rat craniotomy, it can be expected to provide even greater safety for human craniotomy procedures.

关键词： Drilling Accuracy Force Rats Skull Real-time systems Safety Classification algorithms Long short term memory Biological neural networks

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Cam Profile Optimization for a Piezoelectric-Based Sole Energy Harvester

Cam Profile Optimization for a Piezoelectric-Based Sole Ener...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Liao, Haisu Ren, Zhongliang Wang, Yidi Wu, Xinyu Gao, Fei Southern University of Science and Technology Shenzhen518005 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen518055 China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China

ISBN: (纸本)9781665481090

Harvesting energy from the human body to extend the operational time for low-power has gained significant attention. Recently, researchers have focused on biomechanical energy harvesting from human feet while walking. This paper presents an optimization of the cam profile for a piezoelectric-based sole energy harvester designed to be worn on the bottom of shoes to power electronic devices. Specifically, cams with linear polynomial and exponential functions were designed to actuate the piezoelectric transducers (PZTs). Force analysis revealed that the exponential function cam induces more significant deformation in the PZTs than the linear polynomial cam. Preliminary tests on a healthy subject validated this design, showing that the exponential function cam produced an average output power of 0.16mW at a walking speed of 5.5 km/h, indicating a 78% improvement over the linear polynomial cam. Moreover, the optimization rate increased with the growing walking speed. © 2024 IEEE.

关键词： Piezoelectric transducers

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Deep Learning-Enhanced Super-Resolution Ultrasound for Efficient Brain Vascular Mapping

Deep Learning-Enhanced Super-Resolution Ultrasound for Effic...

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IEEE International Conference on robotics and Biomimetics

作者： Andi Sun Xingjian Shen Xianghe Meng Hui Xie State key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Robotic implantation of neural electrodes for in-vasive brain-computer interface(BCI) requires precise vascular mapping to avoid major blood vessels. While super-resolution ultrasound imaging offers superior resolution compared to traditional methods, it typically requires probes with numer-ous elements, demanding substantial hardware resources. This paper presents a novel approach combining deep learning with reduced-element probes for high-resolution vascular imaging. The proposed method employs a transformer-based neural network to accurately localize high-density microbubbles while reducing the required number of probe elements. Simulations reveal that a 32-element linear probe with deep learning outper-forms a 64-element probe using 2D normalized cross-correlation for microbubble concentrations below 1.95 microbubbles/mm2. The overall localization precision and Jaccard index demon-strate superior performance of the deep learning approach, particularly at lower microbubble densities. In vivo experiments on a mouse brain model using a 64-element probe (15 MHz) and deep learning achieved vascular network reconstruction with 21 um resolution, distinguishing vessels 26 um apart. This technique significantly lowers the hardware requirements for constructing high-resolution vascular networks, thereby providing detailed cerebrovascular distribution maps. These maps have the potential to enable more precise planning and safer execution of neural electrode implantation for BCI research, while reducing overall system complexity.

关键词： Deep learning Electrodes Location awareness In vivo Ultrasonic imaging Superresolution Hardware Probes Image reconstruction Robots

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A Modular Robotic system for Tibial Fracture Reduction and Rehabilitation with Vibrational Stimuli Generation

A Modular Robotic System for Tibial Fracture Reduction and R...

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IEEE International Conference on Mechatronics and Automation

作者： Zhenyi Wang Hongjian Yu Zijia Guo Xiangyu Shen Zhijiang Du State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

This paper introduces a modular robotic system aimed at tibial fracture reduction and rehabilitation with vibrational stimuli generation. With the development of the economy and the diversification of entertainment, the incidence of traumatic orthopedics is increasing, especially tibial shaft fractures rank first among lower limb fracture types. Compared to traditional manual techniques by physicians, robot-assisted reduction surgery offers higher precision and reduces the risk of physician exposure to X-ray radiation. Studies have shown that mechanical stimuli help promote trabecular bone growth, resulting in stronger postoperative calluses. However, vibration has not yet been applied to fracture rehabilitation in reduction medical devices. Therefore, this article innovatively designs a modular robotic system capable of both reduction operations and vibrational stimulation, aiming to achieve the integration of reduction and rehabilitation of tibial fractures.

关键词： Vibrations Analytical models Dynamics Surgery Medical services Kinematics Motors

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Performance Analysis of 4-RPUR Parallel Mechanism for Ankle Rehabilitation

Performance Analysis of 4-RPUR Parallel Mechanism for Ankle ...

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IEEE International Conference on Mechatronics and Automation

作者： Hongjian Yu Zijia Guo Zhenyi Wang Sheji Sun Zhijiang Du State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

Four-degrees-of-freedom (4-DoFs) ankle fracture surgery assistant and rehabilitation robot based on 4-RPUR was developed to help the patients recover movement ability of the ankle. Furthermore, to evaluate the performance of the robot, we use a spatial search method to calculate and depict the workspace images, and analyze the sensitivity of the workspace to different parameters; based on screw theory, a singularity evaluation indicator is proposed, and singularity images are drawn; the robot is subjected to stiffness modeling, constructing a stiffness matrix for the mechanism and establishing stiffness evaluation indicators, and creating performance spectra, with further analysis and discussion on the physical variation rules and physical meanings of the spectra.

关键词： Ankle Analytical models Sensitivity systematics Mechatronics Search methods Surgery

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Effects of Inlet Conditions on the Two-Phase Flow Water Hammer Transients in Elastic Tube 23rd

Effects of Inlet Conditions on the Two-Phase Flow Water Hamm...

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23rd Pacific Basin Nuclear Conference, PBNC 2022

作者： Zhao, Zixiang Duan, Zhongdi Xue, Hongxiang Yuan, Yuchao Liu, Shiwen State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

ISBN: (纸本)9789819910229

Two-phase flow water hammer events occur in the pipelines of the nuclear power systems and lead to transient and violent pressure shock to tube structures. For the sake of operation safety, the occurrence and severity of the two-phase water hammer should be carefully assessed. This paper presents a parameter analysis of the inlet conditions on the two-phase flow water hammer transients, with considering the elastic effect of the tube walls. A numerical model is established for the vapor-liquid two-phase flow based on the two-fluid six-equation modelling approach, with incorporating correlations and criterions for two-phase flow regime, interfacial interactions and heat transfer. The governing equations are transformed to matrix form expressed by characteristic variables, and solved using the splitting operator method and the total variation diminishing scheme. The accuracy of the model is verified against the experimental data in open literature. Then, the model is applied to investigate the effect of inlet velocity and inlet water temperature on the two-phase flow water hammer transients. The simulation results show that the increase of inlet velocity increases the pressure peak values and brings forward the onset of water hammer, and the increase of inlet temperature decreases the pressure shock. A comparison of the water hammer results between the elastic tube and rigid tube is further presented, and the effect of the elastic modulus on the water hammer is analyzed. The results also show that the pressure peak is largely affected by the tube diameter. © 2023, The Author(s).

关键词： Condensation

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Human-Exoskeleton Locomotion Interaction Experience Transfer: Speeding up and Improving the Performance of Preference-based Optimizations of Exoskeleton Assistance During Walking

Human-Exoskeleton Locomotion Interaction Experience Transfer...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Hongwu Li Junchen Liu Ziqi Wang Haotian Ju Tianjiao Zheng Yongsheng Gao Jie Zhao Yanhe Zhu State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Preference-based optimizing methods have shown their advantages and potential in exploring individual, comfortable, and effective control strategies and assistance parameters of exoskeletons during locomotion. Research indicates that compared with naive wearers, knowledgeable wearers with abundant exoskeleton assistance experience have obvious advantages in speeding up the parameters exploration process and improving the assistant performance. However, there is no existing method that could utilize the human-exoskeleton locomotion interaction experience (HELIE) to assist naive wearers during the exploration process. In this work, we propose a novel preference-based human-exoskeleton locomotion interaction experience transfer (LIET) framework, which could speed up the exploration of human-preferred parameters and acquire more satisfying results for naive wearers via the HELIE acquired from knowledgeable wearers. In addition, based on the proposed LIET framework, we establish the mathematical expression of the HELIE transfer during exoskeleton assistance. This will promote the research that concerns utilizing HELIE for exoskeleton control parameters optimizations in the future. Finally, experiments demonstrate the proposed LIET framework could speed up the exploration process and acquire more satisfying optimized results for naive wearers.

关键词： Legged locomotion Exoskeletons Process control Optimization methods robotics and automation

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Using Hip Assisted Running Exoskeleton with Impact Isolation Mechanism to Improve Energy Efficiency

Using Hip Assisted Running Exoskeleton with Impact Isolation...

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

作者： Ziqi Wang Junchen Liu Hongwu Li Qinghua Zhang Xianglong Li Yi Huang Haotian Ju Tianjiao Zheng Jie Zhao Yanhe Zhu State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Research has indicated that exoskeletons can assist human movement, but due to the influence of additional weight and challenges in control strategy design, only a few exoskeletons effectively reduce the wearers’ metabolic costs during running. This paper proposes an innovative and efficient hip-assisted running exoskeleton (HARE) designed to facilitate the flexion and extension movements of the joint along the sagittal plane. In the field of structural engineering, we propose implementing an active-passive combination constant force suspension system, hereinafter referred to as CFS, to effectively mitigate the impact of inertial forces during running. The decoupled transmission mechanism allows the CFS and assist mechanisms to operate independently, ensuring the tension of the cables. The flexible structural design can reduce the locomotion limitation on human bodies and reduce the additional energy burden on the body. In control strategy designing, the joint torque-generating strategy provides personalized assistance strategies for wearers to actively optimize the control parameters. Meanwhile, the safety control strategy based on abnormal gait recognition can ensure human safety. Experiments have shown that compared to not wearing exoskeletons, this device can reduce the energy consumption of the human body by 5.33 % at a speed of 9 km/h. This demonstrates its potential in human motion assistance processes.

关键词： Energy consumption Costs Exoskeletons Force Energy efficiency Safety Structural engineering Intelligent robots Hip Gait recognition

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