Results 131 to 140 of about 4,738,087 (364)
Advanced Engineering Materials, EarlyView.Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach +8 more
wiley +1 more source
Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping
Advanced Engineering Materials, EarlyView.Monitoring of hybrid workpieces: when machining hybrid workpieces, unavoidable axial deviations of the material transition zone cause temporal shifts in the process force signals. A new anomaly detection method based on dynamic time warping is proposed to detect material defects.
Berend Denkena +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The microstructure of Cr‐rich Cr‐Si‐alloys is maintained by alloying with Ge, Pt, and Mo. The effects of these elements on A15‐phase fraction, partitioning, microstructural stability, grain size, and hardness are combinable. Molybdenum is found to be the most promising alloying element for microstructural stability during high‐temperature exposure.
Anke Silvia Ulrich +6 more
wiley +1 more source
Hybrid Framework Materials: Next‐Generation Engineering Materials
Advanced Engineering Materials, EarlyView.Hybrid organic–inorganic materials merge the unique properties of organic and inorganic compounds, enabling applications in optoelectronics, gas storage, and catalysis. This review explores metal‐organic frameworks, hybrid organic–inorganic perovskites, and the emerging field of hybrid glasses, emphasizing their structures, functionalities, and ...
Jay McCarron +2 more
wiley +1 more source
Adjustable Plasmonic Core–Shell Nanoparticles for Personalized Color Vision Correction
Advanced Engineering Materials, EarlyView.This study introduces a personalized solution for correcting color vision deficiency (CVD) by embedding tunable core‐shell metal nanoparticles—a common nanotechnology—into contact lenses. By customizing the nanoparticles’ optical properties to filter specific wavelengths, these lenses address individual visual impairments, enhancing color ...
Hyeonah Lee +4 more
wiley +1 more source
Detecting Relative Anomaly [PDF]
arXiv, 2016 System states that are anomalous from the perspective of a domain expert occur frequently in some anomaly detection problems. The performance of commonly used unsupervised anomaly detection methods may suffer in that setting, because they use frequency as a proxy for anomaly.
arxiv
Advanced Engineering Materials, EarlyView.This article concerns room temperature tensile testing, with a range of (nominal) strain rates, of three titanium alloys. Stress–strain curves are analyzed to obtain creep characteristics. Profilometry‐based indentation plastometry testing is also covered, using different penetration velocities, and correlations established with tensile data.
Philip John McKeown +2 more
wiley +1 more source
Precision and Recall for Range-Based Anomaly Detection [PDF]
arXiv, 2018 Classical anomaly detection is principally concerned with point-based anomalies, anomalies that occur at a single data point. In this paper, we present a new mathematical model to express range-based anomalies, anomalies that occur over a range (or period) of time.
arxiv
A Study on Thermal Expansion and Thermomechanical Behavior of Composite Metal Foams
Advanced Engineering Materials, EarlyView.The coefficient of thermal expansion of steel–steel composite metal foam (S‐S CMF) is shown to be lower than that of bulk stainless steel while its performance under compression demonstrate excellent mechanical stability and strength at all temperatures with gradualsoftening from 400 to 600 °C.
Zubin Chacko +2 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source