Results 241 to 250 of about 93,025 (314)

Analysis of Tool Wear in Finish Turning of Titanium Alloy Ti-6Al-4V Under Minimum Quantity Lubrication Conditions Observed with Recurrence Quantification Analysis. [PDF]

Materials (Basel)
Lisowicz J, Krupa K, Leksycki K, Rusinek R, Wojciechowski S.   +4 more
europepmc   +1 more source

Upcycling Compact Discs Into Ultra‐Stable, Flexible, and Stretchable Nanoporous Gold Electrodes for Enhanced Biosensing Performance

Advanced Materials Technologies, EarlyView.
This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley   +1 more source

An Advanced Tool Wear Forecasting Technique with Uncertainty Quantification Using Bayesian Inference and Support Vector Regression. [PDF]

Sensors (Basel)
Rong Z, Li Y, Wu L, Zhang C, Li J.
europepmc   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

In-situ tool wear condition monitoring during the end milling process based on dynamic mode and abnormal evaluation. [PDF]

Sci Rep
Chen M, Mao J, Fu Y, Liu X, Zhou Y, Sun W.   +5 more
europepmc   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

Advanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee, Rocco Lupoi, Michael J. Gibbons   +2 more
wiley   +1 more source

Confidence Interval Estimation for Cutting Tool Wear Prediction in Turning Using Bootstrap-Based Artificial Neural Networks. [PDF]

Sensors (Basel)
Colantonio L, Equeter L, Dehombreux P, Ducobu F.   +3 more
europepmc   +1 more source

Surface‐Plasmon‐Coupled Blue InGaN/GaN Micro‐LEDs with Oxide–Metal–Oxide Capping Layer Compatible to Chip Fabrication Process

Advanced Optical Materials, EarlyView.
A sidewall‐integrated oxide–metal–oxide architecture is demonstrated to overcome efficiency degradation in ultra‐small InGaN/GaN micro‐LEDs. Conformal Al2O3 passivation combined with plasmonic Ag nanoparticles enables localized surface plasmon–exciton coupling, converting surface‐related nonradiative losses into radiative emission.
Pil‐Kyu Jang, Lee‐Woon Jang, Ohbin Kwon, Yeong‐Hoon Cho, Sangbum Kim, Sang‐Ik Lee, Seungjae Baek, Jiwon Park, Myeongjun Choi, Jaeseung Kim, Taehwan Kim, Sung‐Un Kim, Min‐Seok Lee, Yong‐Ho Ra, Ki Hoon Nam, Seung Min Kwak, Alexander Y. Polyakov, In‐Hwan Lee   +17 more
wiley   +1 more source

Waveguide Geometry–Driven Trade‐Offs in Resonant Cavity Sensor Performance

Advanced Optical Materials, EarlyView.
Waveguide geometry governs the interplay between sensitivity, intrinsic Q‐factor, and wavelength noise in silicon nitride resonant sensors. Contrary to intuition, higher sensitivity does not ensure superior performance. Low‐noise, high‐Q ridge resonators achieve the lowest detection limits, revealing that detection is ultimately constrained by noise ...
Mohammad Talebi Khoshmehr, Bakiye Imran Akca, Mateusz Słowikowski, Drecka Dagmara, Marcin Juchniewicz, Ryszard Piramidowicz, Muhammad Ali Butt   +6 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