Results 41 to 50 of about 18,733 (251)
Jixie chuandong, 2021 In order to research the influence of the time-varying stiffness of rolling bearings on the precision of spindle rotation of machine tools， a time-varying stiffness model of rolling bearings are established by considering the radial clearance.
Runlin Chen +5 more
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Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Versatile Pneumatic Twisted Coiled Actuators Enabled by Fiber‐Polymer Composite Fabrication
Advanced Functional Materials, EarlyView.This work reports composite Pneumatic Twisted Coiled Actuators with embedded Kevlar fibers that convert pneumatic or hydraulic pressure into powerful linear motion. A novel precise manufacturing technique is used to systematically explore how design variables influence actuator mechanics and dynamics.
William J. Townsend +5 more
wiley +1 more source
Research on cold rolling of 41Cr4/20NiCrMo7 bimetal composite bearing ring
Metalurgija, 2018 In order to improve the service life of bearing rings, a new method of cold rolling bimetal composite bearing rings was proposed in this paper.With Abaqus software,a finite element simulation model of the cold rolling of bimetal composite bearing rings ...
B. S. Sun, C. W. Wang, Z. L. Zhao
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Communications, 2012 This paper deals with accurate geometric models of rolling bearing components in the CAD system. This model is then employed to create a static structural analysis used to determine the size of stress between the components of a rolling bearing ...
Slavomir Hrcek +2 more
doaj +1 more source
A Chaotic Feature Extraction Based on SMMF and CMMFD for Early Fault Diagnosis of Rolling Bearing
IEEE Access, 2020 Various failure mechanisms of rolling bearing under different working conditions involve important nonlinear dynamic characteristics. And the incipient fault detection of the complex and non-stationary rolling bearing signal is difficult, especially with
Xiaoli Yan, Guiji Tang, Xiaolong Wang
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Magnesium‐Based Transient Bioelectronics, Bio‐Optics and Bio‐Scaffolds
Advanced Functional Materials, EarlyView.This paper reviews the state of the art and recent advances in magnesium‐based thin‐film, foils, and scaffolds for applications in transient bio‐optics, bioelectronics and tissue engineering. The design principles, fabrication methods, material properties, and integration strategies are discussed in detail.
Massimo Mariello, Yves Leterrier
wiley +1 more source
Advanced Functional Materials, EarlyView.The design of intrinsically robust stretchable semiconducting polymers was achieved through OTBS‐mediated post‐functionalization of PDPP2T side chains with UPy units, generating dual hydrogen‐bonding motifs comprising weaker urethane linkages and strong quadruple UPy interactions along the long alkyl side chain, which is crucial for achieving desirable
Dinda Bazliah +7 more
wiley +1 more source
Tissue‐Adhesive Fabric‐Based Bioelectronics for Wearable and Implantable Applications
Advanced Functional Materials, EarlyView.An implantable and wearable bioelectronic textile (iTextile) is introduced as a unified platform bridging wearable and implantable systems. By integrating a self‐healing polymer, stretchable silk fabric, conductive composite electrodes, and an adhesive hydrogel, the platform enables conformal, stable interfacing with soft tissues. The iTextile supports
Soojung An +7 more
wiley +1 more source
Entropy, 2018 Aiming to solve the problem of accurate diagnosis of the size and location of rolling bearing faults, a novel quantitative and localization fault diagnosis method of the rolling bearing is proposed based on the quantitative mapping model (QMM). The fault
Jialong Wang, Lingli Cui, Yonggang Xu
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