Results 211 to 220 of about 382,794 (354)

MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band

Advanced Materials Technologies, EarlyView.
An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi, Jamal Alhourani, Yury Gogotsi, Mohammad H. Zarifi   +3 more
wiley   +1 more source

Preliminary Assessment of Thermal and Mechanical Properties of a Graphene-Rich Carbon Coating on 3003-H14 Aluminum Alloy for Potential Anti-Icing Applications. [PDF]

Materials (Basel)
Almomani A, Alkhasawneh M, Almomani MA, Bani-Hani MA.   +3 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Design, Analysis, and Prototyping of a Multifunctional Digital Twin-Enabled Aerospace Drilling End-Effector Deployable by a Collaborative Robot. [PDF]

Sensors (Basel)
Kazemiesfahani M, Dilfanian E, Monsarrat B, Hajzargarbashi S.   +3 more
europepmc   +1 more source

Material Selection and Geometric Design for Few‐filament Shape Memory Polymer Yarns for Force Generation

Advanced Materials Technologies, EarlyView.
A custom shape memory polymer material selection process relates quantitative application criteria (e.g., compression garment yarns) to material characterization information. The selected materials are manufactured into yarn geometries, which expand the design space by creating structural stress‐strain profiles beyond the nominal material stress‐strain
Michaela Andrews, Susan Mantell, Julianna Abel   +2 more
wiley   +1 more source

Mechanical and thermal performance of magnesium carbon fiber sandwich composites with variable fiber orientations for aerospace structures. [PDF]

Sci Rep
Annadorai ME, Ramakrishna M.
europepmc   +1 more source

Extreme‐Temperature Resistant, Flexible, and Sensitive Strain Sensor for Aerospace Parachute Deployment

Advanced Materials Technologies, EarlyView.
In this study, we report a resistive‐type strain sensor fabricated using single‐walled CNTs, are used layer using the pray technique to deposit as conductive, and UV‐resin was spin‐coated as a protection layer. The sensor functioned in harsh temperature variation conditions from −50°C to 125°C without deterioration.
Jagan Singh Meena, Lucas Lum Yu Xiang, Dhivya Dharshini Kannan, Chun Fei Siah, Yeow Kheng Lim   +4 more
wiley   +1 more source

Nonlinear control of flexible aerospace vehicles

, 2014
Due to mass constraints aerospace systems tend to have lightweight and flexible structures leading to new control objectives such as structural load reduction. To fulfil these objectives, flexible modes must be considered from the design of the controller, requiring to consider some constraints such as nonlinearities, underactuation, or measurement ...
openaire   +1 more source

From Strain to Pressure: Atomically Resolved Mechanisms of Stress Dissipation in Emissive, Elastically Deformable Molecular Crystals Under Ambient and High Pressure

Advanced Optical Materials, EarlyView.
Molecular crystals must withstand both isotropic and anisotropic stress to function in flexible optoelectronics and high‐pressure devices. In situ high‐pressure single‐crystal X‐ray diffraction coupled with DFT‐D computations reveal how an emissive molecular crystal with interdigitated packing bends elastically at ambient‐pressure and remains ...
Arif H. Dar, Vikram C. Joshi, Alexandra Longcake, Tamador Alkhidir, Ayat Al Nimer, Praveen B. Managutti, Shamraiz H. Talib, Jaime Viegas, Michael R. Probert, Changquan C. Sun, Sharmarke Mohamed   +10 more
wiley   +1 more source

Machine Learning-Powered Vision for Robotic Inspection in Manufacturing: A Review. [PDF]

Sensors (Basel)
Patrashko DY, Gurau V.
europepmc   +1 more source