Results 31 to 40 of about 3,878,602 (281)

Structural Materials Durability Statistical Assessment Taking into Account Threshold Sensitivity

Metals, 2022
This work presents an experimental—analytical study of the possibility of applying the method of the greatest probability to evaluate the sensitive thresholds of the bottom (N0) and top (Nk) of the statistical distribution of the mechanical structural ...
Žilvinas Bazaras, Vaidas Lukoševičius, Eglė Bazaraitė   +2 more
doaj   +1 more source

DEVELOPMENT OF LOW-ALLOY SOLID SECTION WIRES AND EFFECTIVE WELDING PRACTICES OF HIGH-RESISTANCE STEELS FOR OPERATIONS IN THEEXTREME NORTH CONDITIONS

Известия высших учебных заведений: Нефть и газ, 2015
Currently applied welding materials do not always meet the requirements towards cold resistance and resistance to brittle failure of welding joints metal. The existing practice of welding for ensuring the equal strength of a weld joint requires execution
A. P. Baryshnikov, D. A. Kaschenko, I. G. Karpov, R. V. Bishokov   +3 more
doaj   +1 more source

Exo Supportive Devices: Summary of Technical Aspects

Bioengineering, 2023
Human societies have been trying to mitigate the suffering of individuals with physical impairments, with a special effort in the last century. In the 1950s, a new concept arose, finding similarities between animal exoskeletons, and with the goal of ...
António Diogo André, Pedro Martins
doaj   +1 more source

Experimental study on the tribo-chemical smoothening process between self-mated silicon carbide in a water-lubricated surface-contact reciprocating test

Friction, 2018
Silicon carbide (SiC) can be tribo-chemically smoothened during a self-mated sliding procedure in the aqueous environment. As well reported in the point-contact tests, this smoothening process works well due to the abundant water as oxidant.
Le Jin, Herbert Scheerer, Georg Andersohn, Matthias Oechsner, Dieter Hellmann   +4 more
doaj   +1 more source

Experimental Investigations on the Mechanical Performances of Auxetic Metal-Ceramic Hybrid Lattice under Quasi-Static Compression and Dynamic Ballistic Loading

Applied Sciences, 2023
In recent years, there have been increasing research interests in investigating the compression and ballistic responses of metal-ceramic hybrid structures, mainly making use of the synergistic effects of conventional metal honeycomb structures and ...
Rong Wang, Yongxiong Chen, Xiaonan Yan, Nan Cong, Delei Fang, Peipei Zhang, Xiubing Liang, Wenwang Wu   +7 more
doaj   +1 more source

First-principles thermodynamic modeling for the Al-Nb-Ni ternary system

Science and Technology of Advanced Materials: Methods
In CALPHAD methodology, used for thermodynamic database construction, the first-principles calculations based on the density functional theory have increasingly become important tool to provide an input data for assessing the thermodynamic database.
Arkapol Saengdeejing, Ryoji Sahara, Yoshiaki Toda   +2 more
doaj   +1 more source

Digital design and additive manufacturing of structural materials in electrochemical and thermal energy storage systems: a review

Virtual and Physical Prototyping, 2023
Additive manufacturing is increasingly utilised in the energy conversion and storage field. It offers great flexibility to fabricate structural materials with improved physical properties, and other advantages such as material waste reduction ...
Qing Liu, Ruihuan Ge, Chuan Li, Qi Li, Yixiang Gan   +4 more
doaj   +1 more source

Simultaneous dynamic electrical and structural measurements of functional materials [PDF]

, 2015
A new materials characterization system developed at the XMaS beamline, located at the European Synchrotron Radiation Facility in France, is presented.
A. Muñiz-Piniella, C. A. Lucas, C. Vecchini, D. Dontsov, D. Wermeille, J. Wooldridge, L. Bouchenoire, M. G. Cain, M. Lesourd, M. Stewart, O. Bikondoa, P. Thompson, S. Brown, S. Lepadatu, S. R. C. McMitchell, T. P. A. Hase, Waser R.   +16 more
core   +1 more source

A critical examination of compound stability predictions from machine-learned formation energies [PDF]

, 2020
Machine learning has emerged as a novel tool for the efficient prediction of material properties, and claims have been made that machine-learned models for the formation energy of compounds can approach the accuracy of Density Functional Theory (DFT ...
Bartel, CJ, Ceder, G, Dunn, A, Jain, A, Trewartha, A, Wang, Q   +5 more
core   +3 more sources

Study of the Mechanisms of Polymorphic Transformations in Zirconium Dioxide upon Doping with Magnesium Oxide, as Well as Establishing the Relationship between Structural Changes and Strength Properties

Ceramics, 2023
The aim of this work is to study the mechanisms of polymorphic transformations in ZrO2 ceramics doped with MgO with different concentrations during thermal isochronous annealing, as well as the effect of the phase composition of ceramics on the change in
Alisher E. Kurakhmedov, Aidar K. Morzabayev, Islam Tleubay, Askhat Berguzinov, Artem L. Kozlovskiy   +4 more
doaj   +1 more source