Results 81 to 90 of about 34,890 (264)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Reverse Engineering and Performance Evaluation of a Pump Impeller Fabricated With Additive Manufacturing

Chemie Ingenieur Technik, EarlyView.
This study explores the process chain for reverse engineering and additive manufacturing of a water pump impeller in a process plant. Key aspects include digital twin creation, CAD redesign, material certification, Hirtisation postprocessing, and performance testing. Insights highlight iterative design for improved precision and reliability.
Michael Stadler, Kati Schatz, Sebastian Rehfeldt, Harald Klein   +3 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Analysis of Corrosion and Wall Perforation in the Heat Exchanger Made of AISI 316L Stainless Steel

Materials and Corrosion, EarlyView.
Elevated passivation temperature is identified as the dominant factor triggering localized corrosion and subsequent perforation of AISI 316L heat exchanger tubes. Electrochemical and complementary characterization results show that the alloy retains high resistance to general, pitting, and intergranular corrosion, indicating that failure primarily ...
Bojana Radojković, Bore Jegdić, Branimir Grgur, Stefan Dikić, Jovanka Pejić, Anđela Simović, Nataša Gajić, Aleksandra Popović   +7 more
wiley   +1 more source

Fretting Wear and Corrosion Behavior of the Fe‐35Mn Biodegradable Alloy for Biomedical Applications

Materials and Corrosion, EarlyView.
This study evaluates the corrosion and tribological wear behavior of the Fe‐35Mn alloy, demonstrating superior mechanical stability and a more favorable degradation rate than pure iron, thereby highlighting its potential for biomedical applications. ABSTRACT The biodegradable Fe‐35Mn alloy has emerged as a promising material for temporary implants due ...
Kerolene Barboza da Silva, Caio Pascotti Valem, S. Sudhagara Rajan, Vasanth Gopal, Praveenkumar Kesavan, Roberto Zenhei Nakazato, Geetha Manivasagam, Ana Paula Rosifini Alves   +7 more
wiley   +1 more source

Hydrogen‐Enhanced Stress Corrosion Cracking of Wire Arc Additive Manufactured Inconel 625 Superalloy in NaCl Solution: Mechanism of Synergistic Degradation

Materials and Corrosion, EarlyView.
Hydrogen‐enhanced SCC of WAAM Inconel 625 in 3.5 wt.% NaCl solution. Hydrogen charging reduces passive film stability (lower corrosion potential) and promotes pitting at Laves phase/matrix interfaces. Stress corrosion cracks propagate along Laves‐rich regions, leading to quasi‐cleavage brittle fracture.
Xu Zhang, Jinhong Liu, Gongchen Zhu, Yajie Chu, Dong Wu, Liyi Wang   +5 more
wiley   +1 more source

Transferable Hot‐Deformation Flow‐Curve Modeling Across Steels Through Transfer Learning

Materials Genome Engineering Advances, EarlyView.
We propose a transferable sequence model that moves steel hot‐deformation ML beyond the “one‐case, one‐model” paradigm. Pretrained across compositions/windows and personalized with four extreme‐condition curves, it improves accuracy and robustness in 10‐fold evaluation.
Changqing Shu, Zhengjun Yao, Shuyan Wang, Xiaolin Zhu, Siyi Sheng, Guojin Xiang, Jicong Zhang, Qiuhao Gu, Liukai Hua, Shasha Zhang   +9 more
wiley   +1 more source

Influence of cementation duration on the structure and properties of structural middle carbon steel 40Cr4, 35CrMnSi4 and 42CrMoS4

Литьë и металлургия
The influence of increasing the cementation duration from 8 to 12 hours with subsequent quenching and low‑temperature tempering on the structure formation and contact fatigue of structural medium‑carbon low‑alloy steels 35CrMnSi4, 40Cr4, and 42CrMoS4 ...
E. P. Pozdnyakov, I. N. Stepankin
doaj   +1 more source

Effect of small addition of Cr on stability of retained austenite in high carbon steel [PDF]

, 2017
High carbon steels with dual phase structure of martensite and metastable austenite are strong, hard and cost effective. This makes them suitable for a number of industrial applications in high abrasive environments.
Pahlevani, F ; https://orcid.org/, Hossain, R ; https://orcid.org/, Sahajwalla, V ; https://orcid.org/   +2 more
core   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source