Results 101 to 110 of about 5,651,169 (235)

Physical Properties of Water Hyacinth, Polyester, and Cotton Blended Spun Yarn: A Blend Ratio Study

Journal of Natural Fibers
The goal of the study is to investigate the ideal mix ratio for yarn spinning in the production of industrial textiles, taking into account the physical properties of water-hyacinth-based fabric and yarn.
Sakorn Chonsakorn, Rattanaphol Mongkholrattanasit, Nattadon Rungruangkitkrai, Chanakarn Ruangnarong, Natthapong Panyathikun, Supanicha Srivorradatphisan   +5 more
doaj   +1 more source

Fiber‐Format Flexible Linear Electrostatic Motors

Advanced Materials, EarlyView.
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley   +1 more source

Yarn-to-yarn and yarn-to-metal friction in relation to some properties of yarn

, 2009
Bu çalışmada, karde ve penye pamuktan üretilen ring ipliklerinin sürtünme özellikleri ile bu ipliklerin fiziksel özellikleri arasındaki ilişkiler incelenmiştir.
Altaş, Sevda, Kadoğlu, Hüseyin
core  

Textile‐Based Capacitive Pressure Sensors Enabled by Ultrasonic Spray‐Coated Carbon Black Electrodes and Electrostatic Flocking

Advanced Materials Interfaces, EarlyView.
A 4‐layer Kevlar‐based composite is fabricated by combining ultrasonic spraying and electrostatic flocking. Carbon black dispersion is first deposited onto Kevlar fabric to create a conductive electrode. Nylon fibers are then electrostatically flocked onto the coated fabric, forming a dielectric layer.
Mengdi Chen, Hongxuan Li, Lei Shi, Fei Huang, Yuting Zhu, Wee Chen Gan, Swee Tiam Tan, Kean Aw   +7 more
wiley   +1 more source

Machine learning modeling of melt-spinning for yarn property prediction

Results in Materials
The quality and performance of yarn in textile production are critically dependent on a range of machine operating parameters. A precise understanding of how these parameters influence yarn properties is essential for both researchers and industrial ...
Mehran Dadgar, Kamyar Noshad
doaj   +1 more source

Smart Electrospun Nanofibers for Controlled Oil‐Water Separation

Advanced Materials Interfaces, EarlyView.
Stimuli‐responsive electrospun nanofibers are reviewed as advanced platforms for controlled oil/water separation. The effects of surface wettability, porous structure, and external stimuli, including pH, temperature, gas, and light, on separation performance are discussed.
Aynaz Sedaghatnia, Milad Babazadeh‐Mamaqani, Hossein Roghani‐Mamaqani, Donya Razzaghi, Amin Babaie, Reza Lotfi‐Mayan, Mostafa Rezaei   +6 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Moisture‐Adaptive Triboelectric Materials and Platforms: Design Strategies, Performance Enhancement, and Applications in Energy Harvesting and Wearable Electronics

Advanced Materials Technologies, EarlyView.
This review summarizes moisture‐adaptive strategies that enable triboelectric nanogenerators (TENGs) to operate across diverse moisture conditions. It examines moisture‐management methods, including exclusion, directional transport, removal, and utilization, with charge‐regulation approaches based on interfacial, dielectric, and structural engineering.
Junzhe Gan, Zhao Sha, Xuehua Zhang, Hoang‐Phuong Phan, Jin Zhang   +4 more
wiley   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source