Results 171 to 180 of about 883,463 (344)

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

Advanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker, Felix Radtke, Jonathan Lentz, Santiago Benito, Christoph Broeckmann, Sebastian Weber   +5 more
wiley   +1 more source

The Role of Nanoscience in Energy Research. [PDF]

ACS Nanosci Au
Bediako K, Buonsanti R, Schaak RE, Zheng N.   +3 more
europepmc   +1 more source

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

Advanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke, Nick Hantke, Harald Zetzener, Jan T. Sehrt, Arno Kwade   +4 more
wiley   +1 more source

An Integrated, CFD-Based, Analysis of Carbonation in a Stirred Tank Reactor. [PDF]

Materials (Basel)
Gakis GP, Marinos D, Aviziotis IG, Balomenos E, Boudouvis AG, Panias D.   +5 more
europepmc   +1 more source

Computation Transport Phenomena in Chemical Engineering. Experiment and Numerical Simulation on the Effect of Solvent on Styrene Polymerization Process Using a Laminar Tubular Reactor.

, 1997
Tohru Nagasako, Manabu Shimada, Kazuhiko Katayama, Kikuo Okuyama   +3 more
openalex   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Structural and Physico-Chemical Changes of Mozzarella di Bufala Campana Cheese Influenced by Covering Liquid Composition. [PDF]

Foods
Fenga I, Alinovi M, Paciulli M, Mucchetti G, Chiavaro E.   +4 more
europepmc   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source

Quadratic mixed convection of Maxwell-Buongiorno nanofluid over cubic stratified surface incorporating cross diffusion effects and solar radiation. [PDF]

Sci Rep
Khan A, Hashim, Farooq M, Qureshi MA, Prakash M, Guedri K, Fadhl BM, Almaliki AH, Bayram M.   +8 more
europepmc   +1 more source

Chemical Kinetic Investigations of Ignition and Combustion Phenomena in a DI Diesel Engine Fueled with Methanol. 1st Report. Ignition Characteristics of Methanol Mixtures.

, 1996
Jin Kusaka, Yasuhiro DAISHO, Takeshi SAITO   +2 more
openalex   +2 more sources