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A robust low-friction triple network hydrogel based on multiple synergistic enhancement mechanisms Friction (IF 6.3) Pub Date : 2024-09-18 Xinyue Zhang, Qin Chen, Kai Chen, Cunao Feng, Haiyan Feng, Xiaowei Li, Dekun Zhang
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Excellent lubricating hydrogels with rapid photothermal sterilization for medical catheters coating Friction (IF 6.3) Pub Date : 2024-09-18 Yue Sun, Zhenling Shang, Chenghao Li, Jinglun Guo, Zhuo Chen, Nan Zhao, Guoqiang Liu, Feng Zhou, Weimin Liu
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Social robot for at-home cognitive monitoring. Sci. Robot. (IF 26.1) Pub Date : 2024-09-18 Melisa Yashinski
A socially assistive robot can administer in-home neuropsychological tests for cognitive monitoring of older adults.
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A versatile knee exoskeleton mitigates quadriceps fatigue in lifting, lowering, and carrying tasks Sci. Robot. (IF 26.1) Pub Date : 2024-09-18 Nikhil V. Divekar, Gray C. Thomas, Avani R. Yerva, Hannah B. Frame, Robert D. Gregg
The quadriceps are particularly susceptible to fatigue during repetitive lifting, lowering, and carrying (LLC), affecting worker performance, posture, and ultimately lower-back injury risk. Although robotic exoskeletons have been developed and optimized for specific use cases like lifting-lowering, their controllers lack the versatility or customizability to target critical muscles across many fatiguing
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Hexagonal electrohydraulic modules for rapidly reconfigurable high-speed robots Sci. Robot. (IF 26.1) Pub Date : 2024-09-18 Zachary Yoder, Ellen H. Rumley, Ingemar Schmidt, Philipp Rothemund, Christoph Keplinger
Robots made from reconfigurable modular units feature versatility, cost efficiency, and improved sustainability compared with fixed designs. Reconfigurable modules driven by soft actuators provide adaptable actuation, safe interaction, and wide design freedom, but existing soft modules would benefit from high-speed and high-strain actuation, as well as driving methods well-suited to untethered operation
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Artificial Bacteria Flagella with Micro-structured Soft-magnetic Teeth IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Chaojian Hou, Kun Wang, Shuideng Wang, Zejie Yu, Xiaokai Wang, Zhi Qu, Mingxing Cheng, Lu Fan, Lixin Dong
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Confidence-Aware Object Capture for a Manipulator Subject to Floating-Base Disturbances IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Ruoyu Xu, Zixing Jiang, Beibei Liu, Yuquan Wang, Huihuan Qian
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A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim, Christoffer Heckman
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Proprioceptive State Estimation for Amphibious Tactile Sensing IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Ning Guo, Xudong Han, Shuqiao Zhong, Zhiyuan Zhou, Jian Lin, Jian S. Dai, Fang Wan, Chaoyang Song
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Single-grasp Deformable Object Discrimination: the Effect of Gripper Morphology, Sensing Modalities, and Action Parameters IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Michal Pliska, Shubhan Patni, Michal Mares, Pavel Stoudek, Zdenek Straka, Karla Stepanova, Matej Hoffmann
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From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Nathan Lichtlé, Eugene Vinitsky, Matthew Nice, Rahul Bhadani, Matthew Bunting, Fangyu Wu, Benedetto Piccoli, Benjamin Seibold, Daniel B. Work, Jonathan W. Lee, Jonathan Sprinkle, Alexandre M. Bayen
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On the Evaluation of Collision Probability Along a Path IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Lorenzo Paiola, Giorgio Grioli, Antonio Bicchi
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A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque
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LeTac-MPC: Learning Model Predictive Control for Tactile-Reactive Grasping IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-18 Zhengtong Xu, Yu She
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Heuristic Predictive Control for Multirobot Flocking in Congested Environments IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-18 Guobin Zhu, Qingrui Zhang, Bo Zhu, Tianjiang Hu
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Optimal Mismatched Disturbance Rejection Control for Continuous-Time Uncontrollable Systems IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-18 Shichao Lv, Hongdan Li, Dongqing Liu, Shihua Li, Huanshui Zhang
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Uncooperative Spacecraft Pose Estimation With Normalized Segmentation Coordinate Space IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-18 Lijun Zhong, Shengpeng Chen, Wei Wang, Wenyi Yang, Guixin Yuan, Pengyu Guo, Xia Yang, Xiaohu Zhang
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A High-Order Fully Actuated System Approach to Control of Overhead Cranes IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-18 Fuxing Yao, Guangtai Tian, Aiguo Wu, Guang-Ren Duan, He Kong
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A Compact 2-DOF Cross-Scale Piezoelectric Robotic Manipulator with Adjustable Force for Biological Delicate Puncture IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-17 Xiang Gao, Jie Deng, Weiyi Wang, Qingbing Chang, Jianhua Sun, Junkao Liu, Shijing Zhang, Yingxiang Liu
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M $^{3}$ Tac: A Multispectral Multimodal Visuotactile Sensor with Beyond-Human Sensory Capabilities IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-17 Shoujie Li, Haixin Yu, Guoping Pan, Huaze Tang, Jiawei Zhang, Linqi Ye, Xiao-Ping Zhang, Wenbo Ding
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Robotic Cutting of Fruits and Vegetables: Modeling the Effects of Deformation, Fracture Toughness, Knife Edge Geometry, and Motion IEEE Trans. Robot. (IF 9.4) Pub Date : 2024-09-17 Prajjwal Jamdagni, Yan-Bin Jia
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Dynamic data driven load-carrying capacity prediction method for composite laminates with delamination Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-14 Bo Gao, Naigang Cui, Qiang Yang, Junru Wang, Songhe Meng
The delamination of composites has invisibility and can reduce the load-carrying capacity (LCC) of structures. In this paper, a dynamic data driven LCC prediction method for composite laminates considering delamination is proposed. The method is divided into offline and online phases: In the offline phase, finite element modeling, prior information acquisition, and database construction are carried
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Robotic grinding and polishing of complex aeroengine blades based on new device design and variable impedance control Robot. Comput.-Integr. Manuf. (IF 9.1) Pub Date : 2024-09-13 Xiangfei Li, Huan Zhao, Haoyuan Zhou, Yuanhao Cai, Yecan Yin, Han Ding
Owing to the advantages of good flexibility and low cost, robots are gradually replacing manual labor as an effective carrier for the grinding and polishing of aeroengine blades. However, the geometric features of blades are complex and diverse, and the contour accuracy and surface quality requirements are high, making the robotic grinding and polishing of blades still a challenging task. For this
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Development of a novel circular saw blade substrate with high stiffness for mitigating vibration noise and improving sawing performance Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Jinyou Kang, Heng Zhang, Jinsheng Zhang, Xingdong Yuan, Changyu Lv, Tianyu Bai, Yantao Gong, Jing Guo
The circular saw blade substrates featuring a large diameter-thickness ratio and multiple saw teeth are increasingly required to accomplish the first or second machining tasks with high efficiency in sawing operations. However, the weak bending stiffness of this substrate can easily cause intense vibrations and harsh noises, while its special structure characteristics pose further challenges to vibration
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Phase nonlinearity–weighted optical flow for enhanced full-field displacement measurement and vibration imaging Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Yeseul Kong, Seunghwan Lee, Yinan Miao, Hyeonwoo Nam, Jun Young Jeon, Gyuhae Park
In this study, we developed a technique to utilize phase nonlinearity as a quantifiable confidence measure of the reliability of component displacement vectors extracted from multi-scale and multi-direction phases. The proposed approach includes three novel concepts. First, relative confidence values are established based on phase nonlinearity to quantify the reliability of the displacement components
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Theoretical and experimental approaches for flexible cage dynamic characteristics of four-point contact ball bearing considering multi-point contact behaviors Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Yin Su, Jingqi Zhang, Wei Zhang
Multi-point contact often occurs between the balls and raceways of the four-point contact ball bearing (FPCBB) due to operating conditions and manufacturing errors, which can lead to unstable motion and wear of the cage. A dynamic analysis method for FPCBB with a flexible cage under multi-point contact is presented in this paper. Initially, the boundary conditions for different contact points (two-point
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Backbone curve orientated parameter identification for systems with coupled nonlinearity Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Xiaoxu Zhang, Binbin Diao, Zuolin Liu, Hongbin Fang, Jian Xu
Backbone curve attracts much concern from nonlinear system identification studies because it directly orientates the nonlinearity embedded in a system. Although extensive approaches have been proposed for normal nonlinearities that are symmetric or decoupled in the modal space, it is still challenging to extend the backbone-based identification technique for better applicability. To this end, this
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[formula omitted]-space physics-informed neural network (k-PINN) for compressed spectral mapping and efficient inversion of vibrations in thin composite laminates Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem, Mathias Kersemans
The vibrational response of structural components carries valuable information about their underlying mechanical properties, health status and operational conditions. This underscores the need for the development of efficient physics-based inversion algorithms which, given a limited set of sensing data points and in the presence of measurement noise, can reconstruct the response at locations where
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Generalized relative entropy: New look at Rényi entropy and its exploration from complexity measures to sparsity measures with applications in machine condition monitoring Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Lan Wei, Dong Wang, Yu Wang
Complexity measures and sparsity measures are capable of detecting and characterizing underlying dynamic changes in machine condition monitoring. Previous studies have developed Shannon entropy and Kullback-Leibler (KL) divergence and their generalization, namely Rényi entropy and Rényi divergence, but their theoretical properties as a function of sparsity and their transitions from complexity measures
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A novel semi-convex function for simultaneous identification of moving vehicle loads and bridge damage Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-13 Zhilong Hou, Yi Liang, Ling Yu
For the simultaneous identification (SI) problem on the moving vehicle loads and bridge damage, the existing methods fail to appropriately consider the sparse characteristics of structural damage and ignore the prior information of vehicle loads, which make them suffering from challenges such as prolonged computation cost, poor noise robustness, and limited identification accuracy. To address this
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In-Link Actuators for Low-Inertia Robots IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-13 Kazuma Morikawa, Seiichiro Katsura
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Leveraging artificial intelligence for real-time indirect tool condition monitoring: From theoretical and technological progress to industrial applications Int. J. Mach. Tool Manu. (IF 14.0) Pub Date : 2024-09-12 Delin Liu, Zhanqiang Liu, Bing Wang, Qinghua Song, Hongxin Wang, Lizeng Zhang
Tool condition monitoring (TCM) during mechanical cutting is critical for maximising the utilisation of cutting tools and minimising the risk of equipment damage and personnel injury. The demand for highly efficient and sustainable machining in modern industries has led to the development of new processes operating under specific conditions. Real-world datasets obtained under harsh cutting conditions
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Identification of fractional order time delay system with measurement noise using variable period integration operational matrix Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-12 Zishuo Wang, Shuning Liang, Beichen Chen, Hongliang Sun
This paper proposes a parameter identification method for fractional-order time-delay systems with measurement noise, based on the Legendre wavelet variable-period integration operational matrix. A variable-period integration operational matrix and a variable-period time-delay integration operational matrix are constructed by variable-period sampling principle. For the impulse noise, global Gaussian
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Digital twin-driven senseless cutting force monitoring and vibration stability control of a rotary ultrasonic machining system Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-12 Tian Lan, Pingfa Feng, Jianfu Zhang, Xiangyu Zhang, Jianjian Wang
Rotary ultrasonic machining (RUM) emerges as a superior technique for processing difficult-to-cut materials due to its capacity to improve machining efficiency and surface quality. The tool vibration amplitude and its stability in the machining process are critical to guarantee the performance of RUM. However, due to the lack of a reliable status monitoring and control method, the operator cannot identify
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Monitoring the bond zone mechanism between reinforced steel & concrete for electromechanical impedance technique through a multi-attached piezo sensor-based diagnostic approach Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-12 Lukesh Parida, Sumedha Moharana
The utilization of steel reinforcement in reinforced concrete structures has garnered substantial attention due to its ability to enhance structural integrity and durability. However, the potential for structural failure remains a critical concern primarily arising due to bond loss at the critical interface between reinforcement and the concrete. This research investigates the bond between concrete
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Parameter Identification and Scanning Pose Optimization for Robotic Vision Measurement System IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-12 Wenzheng Zhao, Yinan Wang, Jiawei Zhang, Yinhua Liu
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Online Evaluation for Learning Feasible Robotic Grasps With Physical Constraints IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-12 Daohui Liu, Rui Chen, Jun Luo, Xingjian Liu, Yu Sun
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Visual seafloor mapping with autonomous robots. Sci. Robot. (IF 26.1) Pub Date : 2024-09-11 Amos Matsiko
Autonomous robots adopt navigation-aided hierarchical reconstruction to visually map the seafloor.
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Restoration of grasping in an upper limb amputee using the myokinetic prosthesis with implanted magnets Sci. Robot. (IF 26.1) Pub Date : 2024-09-11 Marta Gherardini, Valerio Ianniciello, Federico Masiero, Flavia Paggetti, Daniele D’Accolti, Eliana La Frazia, Olimpia Mani, Stefania Dalise, Katarina Dejanovic, Noemi Fragapane, Luca Maggiani, Edoardo Ipponi, Marco Controzzi, Manuela Nicastro, Carmelo Chisari, Lorenzo Andreani, Christian Cipriani
The loss of a hand disrupts the sophisticated neural pathways between the brain and the hand, severely affecting the level of independence of the patient and the ability to carry out daily work and social activities. Recent years have witnessed a rapid evolution of surgical techniques and technologies aimed at restoring dexterous motor functions akin to those of the human hand through bionic solutions
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Stretchable Arduinos embedded in soft robots Sci. Robot. (IF 26.1) Pub Date : 2024-09-11 Stephanie J. Woodman, Dylan S. Shah, Melanie Landesberg, Anjali Agrawala, Rebecca Kramer-Bottiglio
To achieve real-world functionality, robots must have the ability to carry out decision-making computations. However, soft robots stretch and therefore need a solution other than rigid computers. Examples of embedding computing capacity into soft robots currently include appending rigid printed circuit boards to the robot, integrating soft logic gates, and exploiting material responses for material-embedded
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On the use of vibrations and temperatures for the monitoring of plastic chain conveyor systems Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 L. Radicioni, F.M. Bono, S. Cinquemani
In industrial automation, the transportation of unit loads plays a crucial role. This paper addresses the under-explored area of plastic chain conveyors, a versatile and efficient means of transport within production processes. Despite their widespread use, these conveyors suffer from wear and tear due to continuous contact between the chain and guide rails, often leading to unscheduled shutdowns and
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Lamb wave based damage imaging in variable thickness plates Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Caibin Xu, Qi Wang, Guangjian Gao, Mingxi Deng
The researches on Lamb wave based damage localization for constant thickness plates have been widely investigated in the field of structural health monitoring, while the issue of Lamb wave based damage imaging in variable thickness plates is rarely addressed. This is because the Lamb wave propagation characteristics in plates with varying thickness is more complex than that with constant thickness
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Analysis and experiment of a multi-tile magnetic spring with high negative stiffness Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Mingkai Wu, Ruiqi Gao, Yifan Zhou, Jixing Che, JiuLin Wu, Xiaoqing Li, Xuedong Chen, Wei Jiang
The parallel combination of magnetic negative stiffness mechanisms (MNSMs) with positive stiffness (PS) springs is an effective approach to achieve high load capacity and excellent low-frequency vibration isolation performance. However, in high-static-support situations with restricted mounting space, such as in the precision manufacturing and measuring fields, the magnitudes of the negative stiffness
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Adaptive neural chattering suppression pseudo inverse active control for a class of micromilling systems with multiaxis piezoelectric actuators Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Xuefei Zhang, Xiuyu Zhang, Zhengyan Hu, Yue Wang, Zhi Li, Yizhou Chen
For a multi-axis nonlinear milling system with piezoelectric actuators, a pseudo inverse dynamic surface active control scheme with adaptive fuzzy output-feedback is developed. The main contributions can be characterized as following: (1) to overcome the hysteresis non-linearities in the piezoelectric actuators, the new hysteresis pseudo inverse compensators are established to replace the conventional
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Variance estimation of modal parameters from the poly-reference least-squares complex frequency-domain algorithm Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-11 Mikkel Tandrup Steffensen, Michael Döhler, Dmitri Tcherniak, Jon Juel Thomsen
Modal parameter estimation from input/output data is a fundamental task in engineering. The poly-reference least-squares complex frequency-domain (pLSCF) algorithm is a fast and robust method for this task, and is extensively used in research and industry. As with any method using noisy measurement data, the modal parameter estimates are afflicted with uncertainty. However, their uncertainty quantification
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Biaxially stretchable metamaterial absorber with a four-dimensional printed shape-memory actuator Int. J. Mech. Sci. (IF 7.1) Pub Date : 2024-09-11 Sumin Bark, Heijun Jeong, Eiyong Park, Sungjoon Lim
Among the various methods for strain sensing, the metamaterial absorbers (MMAs) stand out due to their dual capabilities. Specifically, MMAs facilitate the wireless detection of deformations in the target and operate independently of any external power source. However, conventional research has a limitation in that stretchable strain sensors are unable to deform themselves autonomously, which puts
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Rigid-foldable spiral origami with compression-torsion coupled motion mode Int. J. Mech. Sci. (IF 7.1) Pub Date : 2024-09-11 Tie Mei, Fei Wang, C.Q. Chen
Rigid foldable origami enables smooth and precise folding without stretching or bending its constituent panels and is promising for applications such as reprogrammable matter, self-folding machines, reconfigurable antennas, and deployable spacecraft. The diverse range of potential applications necessitates the need for the design and detailed analysis of different rigid-foldable origami structures
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Mesoscopic simulation of concrete drying shrinkage with hydration kinetics Int. J. Mech. Sci. (IF 7.1) Pub Date : 2024-09-11 Mengxi Zhang, Wenwei Li, Mingchao Li, Qiaoling Min, Yang Shen, Chensen Ding
Shrinkage-induced cracking significantly impacts the durability of mass concrete structures. Quantitatively evaluating drying shrinkage of concrete proves challenging due to the time-consuming experiments and overlooked microstructure changes during the hydration process. To address this concern, this study initially characterized the long-term hydration products and microstructure of low-heat Portland
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Unsupervised Fault Detection of Brushless DC Motors Under Multioperating Conditions via Order Hybrid Interpolated Gaussian Descriptor IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-11 Chong Luo, Jianyu Wang, Enrico Zio, Qiang Miao
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Optimal milling cutter helix selection for period doubling chatter suppression Int. J. Mach. Tool Manu. (IF 14.0) Pub Date : 2024-09-10 M. Sanz-Calle, A. Iglesias, L.N. López de Lacalle, Z. Dombovari, J. Munoa
In high speed milling, interrupted cutting conditions can lead to period doubling chatter vibrations. While many studies have already confirmed that the use of helical tools can effectively shrink or remove these regions of unstable cutting, none of them has provided clear guidance to select the minimum helix that completely cancels the period doubling lobes. This study addresses this gap by introducing
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Achieving fine tailoring of elastocaloric properties of laser powder bed-fused NiTi alloy via laser beam manipulation Int. J. Mach. Tool Manu. (IF 14.0) Pub Date : 2024-09-10 Jianbin Zhan, Kun Li, Ruijin Ma, Liang Zhu, Jiahui Fang, Huajun Cao, David Z. Zhang, Lawrence E. Murr
Laser powder bed fusion (LPBF) technology enables the development of NiTi alloys with complex geometries and tunable phase-transformation temperatures (PTTs). This technology is increasingly acknowledged as promising in the field of elastocaloric (eC) refrigeration. However, the mechanisms governing the manner in which this technology tunes the eC performance remain ambiguous. This study evaluated
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A novel vibration transfer path analysis for electric vehicle driving motor controllers under strong signal crosstalk Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-10 Lingchen Kong, Xuan Zhao, Xiaolei Yuan, Qiang Yu, Peilong Shi, Chenyu Zhou, Dawei Zhang
Reliability tests of the driving motor controller unit (MCU) that consider actual vehicle structures and vibrations are essential for the development of the MCU in electric vehicles. However, existing measurements ignore the influence of actual vehicle conditions, and the reduction of analysis accuracy caused by the strong crosstalk from actual vehicle structures is also currently unresolved. To resolve
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Analysis of a two-degree-of-freedom beam for rotational piezoelectric energy harvesting Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-10 Xiang-Yu Li, I-Chie Huang, Wei-Jiun Su
This study introduces a two-degree-of-freedom piezoelectric energy harvester designed to harness rotational motion as an energy source. The harvester is built using a cut-out beam, which enables the first two resonant frequencies to be closely located in the low-frequency range. A distributed continuous model is developed and validated with experimental results. As the beam undergoes significant displacement
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Reinforcement Learning Grasping With Force Feedback From Modeling of Compliant Fingers IEEE ASME Trans. Mechatron. (IF 6.1) Pub Date : 2024-09-10 Luke Beddow, Helge Wurdemann, Dimitrios Kanoulas
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Nonlinear optimal frequency control for dynamic vibration absorber and its application Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Fansong Li, Hao Wu, Letian Liu, Yunguang Ye, Yong Wang, Pingbo Wu
A principal limitation of passive dynamic vibration absorber (DVA) lies in its intrinsic design constraint, as it is tuned to a specific resonant frequency, rendering it less effective at mitigating vibrations over a variable frequency range. To ensure that the DVA retains its vibration reduction capability under loads with time-varying frequencies, this paper proposes a method for designing the optimal
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Maximum L-Kurtosis deconvolution and frequency-domain filtering algorithm for bearing fault diagnosis Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Haitao Xu, Shengxi Zhou
Blind deconvolution technique can effectively recover the periodic fault impulses. However, deconvolution algorithms may not perform well for fault detection if the objective criteria are sensitive to outliers. Aiming at solving the limitation, a novel maximum L-Kurtosis deconvolution (MLKD) algorithm is proposed. Firstly, the L-Kurtosis is introduced, and the results show that it remains approximately
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Rebalancing Mel-frequency Cepstrum and parallel fusion model for surface hardness monitoring of laser shock peening using acoustic emission Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Zhifen Zhang, Xianwen Xiang, Rui Qin, Zhengyao Du, Jing Huang, Xizhang Chen, Yu Su, Guangrui Wen, Weifeng He, Xuefen Chen
Laser shock peening (LSP) technology is commonly used to strengthen and extend the life of components such as aero-engine compressor blades. Online monitoring of the LSP process using acoustic emission (AE) technology is crucial for improving its reliability and consistency. However, it is still challenging to obtain the accurate monitoring due to the high sampling rate of AE with wide frequency band
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Construction of threshold truncated singular value decomposition algorithm and its application in sound field calculation Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Yanhao Chen, Zhifei Zhang, Zhongming Xu, Yansong He
One of the main characteristics of ill-posed inverse problems is the strong interference of random noise or measurement errors on the parameters to be estimated. During the solution of inverse problems, measurement errors or noise affect the solution in the form of the reciprocals of singular values, and filtering out the spatial information corresponding to small singular values significantly improves
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Investigation of an improved time of arrival detection method for acoustic Emission signals and its applications to damage characterisation in composite materials Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan
An improved Time of Arrival (ToA) estimation method is presented for picking the arrival of the Acoustic Emission (AE) signals. The performance of this method is compared with the recently developed ToA estimation methods based on time-varying correlation built on surrogate function, and the non-stationary time series based Akaike Information Criterion (AIC). The method proposed in this research work
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Underwater source localization using a distributed composite artificial lateral line system with pressure and active electric sensing fusion Mech. Syst. Signal Process. (IF 7.9) Pub Date : 2024-09-09 Tongqiang Fu, Qiao Hu, Guangyu Jiang, Jiawei Zhao, Liuhao Shan
Learning about the lateral lines of fish for perceiving their surroundings, various artificial lateral line systems have been developed for underwater vehicles. However, previous studies of artificial lateral line systems for underwater source localization have only relied on single sensing of hydrodynamic or electric modality. Inspired by the functions of mechanoreceptors and electroreceptors in fish