Results 91 to 100 of about 9,532 (254)

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Strict liability ultra-hazardous activity in the doctrine and law-enforcement practice of the USA

RUDN Journal of Law, 2013
The article embraces the approaches of the USA jurisprudence and law enforcement practice towards the concept of ultra hazardous / abnormally dangerous activity.
M B Rumyantsev
doaj  

Experimental Characterization and Constitutive Modeling of the Effect of Prior Inelastic Strain on the Viscoplastic Behavior of AD730 at 700 °C

Advanced Engineering Materials, EarlyView.
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca, Patrick Villechaise, Malik Durand, Arnaud Longuet, Florent Coudon, Loïc Signor, Julien De Jaeger, Dominique Eyidi, Nathalie Bozzolo, Jonathan Cormier   +9 more
wiley   +1 more source

Influential Flows of Legal Philosophy to Jurists’ Thoughts

Sociological Jurisprudence Journal, 2018
This paper analyzes several flows of legal philosophy that predispose the thinking of jurists/lawyers. The legal flows include law of nature, classical to modern, legal positivism, sociological jurisprudence and flow American legal realism. In detail, it
Dewa Gede Atmadja
doaj  

LEGALITAS HUKUM PERKAWINAN BEDA AGAMA DALAM PRAKTIK HUKUM MASYARAKAT INDONESIA: HARMONISASI HUKUM POSITIF DAN HUKUM AGAMA

Hakam: Jurnal Kajian Hukum Islam dan Hukum Ekonomi Islam
The right to marry and choose one's spouse freely is part of human rights, including marriages performed by interfaith couples. The problem with interfaith marriage, however, lies in the restrictive positive legal norms that accommodate religious norms ...
Najiburrahman Najiburrahman, Ismail Marzuki, Qurratul Layyinah   +2 more
doaj   +1 more source

Development of Private Enforcement of Competition Law in Lithuania [PDF]

Yearbook of Antitrust and Regulatory Studies, 2015
The article reviews the jurisprudence of Lithuanian courts on private enforcement of competition law and identifies the main obstacles for the development of this practice.
Raimundas Moisejevas
doaj  

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

The Principles and Practice of Medical Jurisprudence [PDF]

The American Journal of the Medical Sciences, 1884
openaire   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source