Results 111 to 120 of about 93,025 (314)
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim +6 more
wiley +1 more source
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
Study of the influence of cutting parameters on tool wear and the state of the machined surface
This work presents a study of wear on the clearance face of turning tools. This study will contribute to the development of improved machining precision and efficiency while extending tool life and also ensuring the surface quality produced, despite wear
Benattia Bloul +2 more
doaj +1 more source
The design of an effective sensor fusion model for condition monitoring systems of turning processes
High energy price and the increasing requirements of quality and low cost of products have created an urgent need to implement new technologies in current automated manufacturing environments.
Al-Azmi, A F, Al-Azmi, Abdulrahman F
core
Numerical model for prediction of tool wear and worn-out pin profile during friction stir welding
Understanding tool wear during friction stir welding (FSW) is important for joining of high melting point metallic (HMPM) materials. Heat transfer and material flow based models developed in past have improved understanding of the FSW process.
Arora, Amit +3 more
core +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
The study on the effect of various tool wear indicators on the machining of MMCs
This paper aims to conduct tool wear experiments on cutting SiCp/Al composite materials, and methodically reveal the wear evolution of PCD tools in some detail.
Zhigao Chen +6 more
doaj +1 more source
Quantitative wear analysis of H13 steel tool during friction stir welding of Cu-0.8%Cr-0.1%Zr alloy
Joining of high strength materials using friction stir welding (FSW) is difficult due to severe tool wear and change in the shape/size of the tool. However, quantitative understanding of tool wear during FSW of high melting point metallic materials is ...
Kaushal Jha +7 more
core +1 more source
Mesoblends consist of a nanostructured polymer into which a second polymer is imbibed with a selective solvent. In this work, a solvent‐templatable pentablock terpolymer possessing a sulfonated midblock is modified with a hydrophilic polymer that is photocrosslinked in situ, yielding a hierarchical binetwork.
Kacie M. Wells +3 more
wiley +1 more source

