Results 141 to 150 of about 557,778 (354)

Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6

Advanced Engineering Materials, EarlyView.
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter, Thomas Wegener, Andreas Schilling, Martin Fehlbier, Thomas Niendorf   +4 more
wiley   +1 more source

Seepage characteristics of accumulation landslides under different types of heavy rainfall stability analysis

Shuiwen dizhi gongcheng dizhi
Heavy rainfall is a major causes of sedimentary landslide disasters, and understanding the spatiotemporal dynamic characteristics of the seepage field in landslides under heavy rain is crucial for evaluating landslide stability and providing ...
Hao SHI, Yuanyao LI, Yilin XU, Yang ZHENG, Kehan CHEN, Yinliang MA   +5 more
doaj   +1 more source

Inducing factors and deformation mechanism of the Zhangjiacitang landslide in the Three Gorges Reservoir Area. [PDF]

Sci Rep, 2023
Chen H, Zou J, Wang X, Lv P, Tan Z, Cheng L, Wei Q.   +6 more
europepmc   +1 more source

Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study

Advanced Engineering Materials, EarlyView.
This study explores the first implementation of Ti‐based MXenes materials in brake pad friction composite material. The resulting composite material exhibits a 48% reduction in the wear rate; alongside significant improvements are observed for thermal and mechanical properties.
Eslam Mahmoud, Jakob Gruber, Hakan Göçerler, Pierluigi Bilotto, Christian Gierl‐Mayer, Elham Loni, Michael Naguib, Carsten Gachot   +7 more
wiley   +1 more source

The behaviour and deformation mechanisms for 316L stainless steel deformed at cryogenic temperatures

, 2023
Suning Li, Philip J. Withers, Saurabh Kabra, Kun Yan   +3 more
openalex   +1 more source

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

Advanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos, Grigorios Kostopoulos, Eleni Papadopoulou, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria N. Gkara, Chara Ch. Mitropoulou, Georgios Kazakis, Alin Munteanu, Jeremi Gancet, Nikos D. Lagaros   +11 more
wiley   +1 more source

Creep behavior and microscopic deformation mechanism of third-generation Ni-based single crystal superalloy at 760 ℃

Cailiao gongcheng
The creep deformation mechanism of the superalloy at 760 ℃ is investigated by analyzing the creep deformation behavior of a third-generation nickel-based single crystal superalloy at 760 ℃ and characterizing its microstructural evolution and dislocation ...
XU Ruida, LI Ying, YU Huichen
doaj   +1 more source

Effect of Repetitive Bending and Straightening Process on Microstructure Properties and Deformation Mechanism of a Ti-Al-Cr-Mo Alloy. [PDF]

Materials (Basel), 2023
Li Z, Xu Y, Qian J, Song L.
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Machine learning-assisted design of strong and ductile BCC high-entropy alloys

Materials Research Letters
Machine learning-based feature importance analysis was utilized to systematically identify the critical material parameters and elemental effects governing the yield strength of BCC high-entropy alloys (HEAs). We found that the shear modulus mismatch and
Ling Shen, Yongkang Li, Weidong Zhang, Shikun Zhang, Shihua Ma, Fei Peng, Zhenggang Wu   +6 more
doaj   +1 more source