Results 171 to 180 of about 14,986,562 (279)

SOME PARTIAL DIFFERENTIAL EQUATIONS OF EVEN ORDER

Demonstratio Mathematica, 1970
openaire   +1 more source

Thermal Cycle–Microstructure–Property Relationships in Rail Steel Heat‐Affected Zone Simulated by Gleeble

Advanced Engineering Materials, EarlyView.
Microstructural evolution of premium rail steel during flash butt welding (FBW), comparing physically simulated heat‐affected zones with actual weld regions. Thermal cycles induce phase transformations and microstructural heterogeneity that influence weld quality and mechanical performance. These findings provide insights into optimizing FBW parameters
Emmanoelle Cintra da Cunha Araújo, João Marcos da Silva Nunes, Marcelly Cristiny Nunes de Carvalho, Alex Rojas, Cristie Luis Kugelmeier, Cristhian Ricardo Loayza Loayza, João Carlos Ferreira, Maria Veronica Goncalves Rodrigues, Rute Sayuri Kano, Isaac Araújo Furtado, Jacyara Dalylla da Silva Nunes, Jhonatan Peres de Sousa, Marcos Natan da Silva Lima, Eden Santos Silva, Gedeon Silva Reis, Samuel Filgueiras Rodrigues   +15 more
wiley   +1 more source

A Perspective on Multiscale Electrodiffusion and Model Selection for Ion Transport in Energy-Storage Nanomaterials. [PDF]

Nanomaterials (Basel)
Mofidi H, Yang W, Zhang M.
europepmc   +1 more source

Microstructural Evolution and In Situ Formation of TiB and TiC in Ti─5Al─2.5Sn Alloy Processed by Powder Metallurgy

Advanced Engineering Materials, EarlyView.
Accelerated in situ formation of TiB and TiC in Ti–5Al–2.5Sn–B4C is driven by transient liquid phase formation, which enhances particle reactions and microstructural evolution. This process increases hardness and establishes a coupled relationship between sintering temperature and reinforcement content, strongly influencing porosity in the resulting ...
Fernando. Y. Kojima, Juliano. Soyama
wiley   +1 more source

Inflammatory Syndrome Regulated by WNT/β-Catenin, Non-Muscle Myosin and α-SMA Is a Self-Organized Dissipative Structure. [PDF]

Biology (Basel)
Lecarpentier Y, Morini A, Locher C, Krokidis X.   +3 more
europepmc   +1 more source

Gyroid Structured Globugraphite Carbon Foam With Hierarchical and Tailored Pore Size

Advanced Engineering Materials, EarlyView.
Secondary sacrificial templates were designed and printed to create a defined network within a porous carbon. Lattices thermally degrades during the sintering process. Lattices are imprinted into the ceramic template and transferred to the morphology of Globugraphite.
Christiane Roller, Justin Neumann, David Ploch, Lennard M. Flohr, Julian Karsten, Fabian A. Riebesehl, Bodo Fiedler   +6 more
wiley   +1 more source

Intelligent neural network-based framework for Maxwell nanofluid flow with Soret-Dufour coupling and nonlinear thermal radiation. [PDF]

Discov Nano
Ishaq M, Ashraf MB, Fantaye AK, Zayani HM, Alshehery S, Alsawah GA, Khedher NB.   +6 more
europepmc   +1 more source

Microstructural, Mechanical, and Textural Evolution of Dissimilar Combination of Laser‐Welded Maraging Steel and 4340 Steel

Advanced Engineering Materials, EarlyView.
The present work reports the microstructural, mechanical, and texture evolution of a dissimilar combination laser‐welded maraging steel with 4340 steel. This is important for aerospace applications. The demand for dissimilar welding is growing rapidly with the requirement of efficient and durable joints.
Bharat Behl, Yu Dong, Alokesh Pramanik, Tapas Kumar Bandyopadhyay   +3 more
wiley   +1 more source

Stability and heat transfer of mhd eyring powell tri hybrid nanofluid flow over a permeable shrinking cylinder. [PDF]

Discov Nano
Mohd Kasim AR, Mustafa PES, Aljabali A, Zainal NA, Adeosun AT, Nisa Ariffin NA, Tijani YO.   +6 more
europepmc   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source