Results 21 to 30 of about 21,546 (307)

Strength and reliability of WC-Co cemented carbides: Understanding microstructural effects on the basis of R-curve behavior and fractography

, 2018
J. Tarragó, D. Coureaux, Y. Torres, E. Jiménez-Piqué, L. Schneider, J. Fair, L. Llanes   +6 more
semanticscholar   +3 more sources

Microstructure and Fatigue Properties of AlZn6Mg0.8Zr Alloy Subjected to Low-Temperature Thermomechanical Processing

Metals, 2017
The paper presents results of the investigations on the effect of the low-temperature thermomechanical treatment on the microstructure of AlZn6Mg0.8Zr alloy (7003 alloy) and the relationships between microstructure and fatigue properties and fractography
Aleksander Kowalski, Wojciech Ozgowicz, Adam Grajcar, Marzena Lech-Grega, Andrzej Kurek   +4 more
doaj   +1 more source

Cauchy-based Modelling in Cementitious Materials Technology [PDF]

Archives of Civil Engineering, 2020
Cauchy paved the way for constructing models in concrete technology, and elsewhere. He determined the (nonflat) surface area in 3D by measuring random total projections. Analogously, he determined the length of a curved line in 2D by way of measuring the
P. Stroeven, M. Słowik
doaj   +1 more source

Data demonstrating the effects of build orientation and heat treatment on fatigue behavior of selective laser melted 17–4 PH stainless steel

Data in Brief, 2016
Axial fully-reversed strain-controlled (R=−1) fatigue experiments were performed to obtain data demonstrating the effects of building orientation (i.e. vertical versus horizontal) and heat treatment on the fatigue behavior of 17–4 PH stainless steel (SS)
Aref Yadollahi, Jutima Simsiriwong, Scott M. Thompson, Nima Shamsaei   +3 more
doaj   +1 more source

Evaluation of mechanical behaviour and tensile failure analysis of 8 wt.% of nano B4C particles reinforced Al2214 alloy nano composites

Manufacturing Review, 2022
The microstructure and mechanical properties of Al2214-8 wt.% of 500 nm sized B4C particles reinforced composites were studied in this study. By using a liquid metallurgical process, composites containing 8 wt.% of B4C in Al2214 alloy were created.
Gopalan Kumar, Rajabathar Saravanan, Nagaral Madeva, Thippeswamy Hemnath Raju   +3 more
doaj   +1 more source

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

The effect of platinum-aluminide coating features on high-temperature fatigue life of nickel-based superalloy Rene®80 [PDF]

Journal of Mining and Metallurgy. Section B: Metallurgy, 2019
Low cycle fatigue is the most important failure mode in Aviation/Industrial engine rotary turbine parts. In this paper, the influence of Pt-aluminide coating parameters on high temperature low cycle fatigue behavior of superalloy Rene®80 which is used to
Barjesteh M.M., Zangeneh-Madar K., Abbasi S.M., Shirvani K.   +3 more
doaj   +1 more source

Intermittency and roughening in the failure of brittle heterogeneous materials [PDF]

, 2009
Stress enhancement in the vicinity of brittle cracks makes the macro-scale failure properties extremely sensitive to the micro-scale material disorder.
Bonamy, D.
core   +4 more sources

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

Unsupervised Machine Learning in Fractography: Evaluation and Interpretation

Materials Characterization, 2020
Modern computer vision and machine learning techniques, when applied in Fractogra- phy bare the potential to automate much of the failure analysis process and remove human induced ambiguity or bias.
Shmuel Osovski, Stylianos Tsopanidis
semanticscholar   +1 more source