Results 31 to 40 of about 10,603 (221)

Erosive wear properties of ZA-27 alloy-based nanocomposites: Influence of type, amount, and size of nanoparticle reinforcements

Friction, 2018
Metal matrix nanocomposites (MMnCs) comprise a metal matrix filled with nanosized reinforcements with physical and mechanical properties that are very different from those of the matrix.
Aleksandar Vencl, Ilija Bobić, Biljana Bobić, Kristina Jakimovska, Petr Svoboda, Mara Kandeva   +5 more
doaj   +1 more source

Mechanical and tribological behavior of flyash, red mud and mica particles reinforced Al7075 alloy hybrid metal composites

Manufacturing Review, 2022
In the present research Al7075 alloy with 1, 3 and 5 varying weight percentages of flyash, 1, 2 and 3 varying wt.% of red mud along with constant 4 wt.% of mica particles composites were synthesized by stir casting technique.
Matti Siddesh, Shivakumar B.P., Nagaral Madeva, Shashidhar S., Siddappa P.N., Auradi Virupaxi   +5 more
doaj   +1 more source

Characterization of Corrosion and Stress Corrosion Cracking of AE44 Magnesium Alloy [PDF]

Archives of Metallurgy and Materials, 2020
The paper presents the susceptibility of AE44 magnesium alloy to electrochemical corrosion and stress corrosion cracking (SCC). The evaluation of the intensity of the interaction of the corrosive environment was carried out using the corrosion tests and ...
M. Sozańska, A. Mościcki, B. Chmiela
doaj   +1 more source

Effect of Dialkyl Peroxide Blending on Tensile Properties of PLA/PBAT Polymer Alloys

Engineering Transactions, 2014
Poly(lactic acid) (PLA) and poly(butylene adipate/terephthalate) (PBAT) were used for polymer alloys, and the effects of the mixing ratio of PLA and PBAT and the addition of dialkyl peroxide (compatibilizing agent) were examined. The stress-strain curves
Masahiro NISHIDA, Hiroki ICHIHARA, Hiroki WATANABE, Norio FUKUDA, Hiroaki ITO   +4 more
doaj   +1 more source

Effect of Controlled Rolling and Cooling Process on Microstructures and Mechanical Properties of Low Carbon Bainitic Steel AH80DBD

Teshugang, 2023
The effect of microstructure on impact properties of AH80DBD low carbon bainite steel is analyzed by macro-fractography, scanning fractography, metallography and transmission electron microscope.
陈尹泽, 李娜, 宋立伟, 马志强
doaj  

Eliciting stable nanoscale fracture in single-crystal silicon

Materials Research Letters, 2022
In this letter, we demonstrated stable nanoscale fracture in single-crystal silicon using an in-situ wedge-loaded double cantilever beam (DCB) specimen.
Frank W. DelRio, Scott J. Grutzik, William M. Mook, Sara M. Dickens, Paul G. Kotula, Eric D. Hintsala, Douglas D. Stauffer, Brad L. Boyce   +7 more
doaj   +1 more source

Fractography of poly(N-isopropylacrylamide) hydrogel networks crosslinked with mechanofluorophores using confocal laser scanning microscopy

, 2020
Due to their soft and brittle nature, the mechanical characterization of polymer hydrogels is a difficult task employing traditional testing equipment. Here, we endowed poly(N-isopropyl acrylamide) (PNIPAAm) hydrogel networks with Diels–Alder adducts of ...
M. Stratigaki, C. Baumann, Lambèrt C. A. van Breemen, J. Heuts, R. Sijbesma, R. Göstl   +5 more
semanticscholar   +1 more source

A Short Review on Fracture Mechanisms of Mechanical Components Operated under Industrial Process Conditions: Fractographic Analysis and Selected Prevention Strategies

Metals, 2019
An insight of the dominant fracture mechanisms occurring in mechanical metallic components during industrial service conditions is offered through this short overview.
George A. Pantazopoulos
doaj   +1 more source

Fatigue Crack Growth under Non-Proportional Mixed Mode Loading in Rail and Wheel Steel Part 1: Sequential Mode I and Mode II Loading

Applied Sciences, 2019
Fatigue tests were performed to estimate the coplanar and branch crack growth rates on rail and wheel steel under non-proportional mixed mode I/II loading cycles simulating the load on rolling contact fatigue cracks; sequential and overlapping mode I and
Makoto Akama
doaj   +1 more source

Prediction of mechanical properties and fractography examination of AZ91 magnesium composites reinforced with graphene using a random forest machine learning model: experimental validation

Archives of Civil and Mechanical Engineering
Machine learning (ML), a prominent branch of artificial intelligence, is increasingly applied in material design, particularly for magnesium composites.
Song‐Jeng Huang, Yudhistira Adityawardhana   +1 more
semanticscholar   +1 more source