Results 101 to 110 of about 4,797,118 (337)

Interpolation spaces and unitary representations [PDF]

Proceedings of the American Mathematical Society, 1981
Let G G be a Lie group, π \pi a unitary representation of G G on a Hilbert space H ( π ) \mathcal {H}(\pi ) , and H k ( π ) {
openaire   +1 more source

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

Advanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng, Ziping Sang, Jiali Zhang, Felix Radtke, Louis Becker, Simone Herzog, Sebastian Weber, Christoph Broeckmann   +7 more
wiley   +1 more source

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

New classes of rearrangement-invariant spaces appearing in extreme cases of weak interpolation

Journal of Function Spaces and Applications, 2006
We study weak type interpolation for ultrasymmetric spaces L?,E i.e., having the norm ??(t)f*(t)?E˜, where ?(t) is any quasiconcave function and E˜ is arbitrary rearrangement-invariant space with respect to the measure dt/t. When spaces L?,E are not “too
Evgeniy Pustylnik, Teresa Signes
doaj   +1 more source

Spatial interpolation of dry deposition using EOF models

Revista de Matemática: Teoría y Aplicaciones, 2009
Random processes are monitored over space and time by a network of stations distributed across a spatial region. Auxiliary information is often gathered not only at the stations but at other points across the region.
Breda Muñoz Hernández
doaj   +1 more source

Interpolation on cycloidal spaces

Journal of Approximation Theory, 2014
Hermite interpolation problems on cycloidal spaces are analyzed. Newton and Aitken-Neville formulae are obtained. Numerical examples are included.
E. Mainar, Jesús M. Carnicer, Juan Manuel Peña   +2 more
openaire   +2 more sources

Non‐Destructive and Mechanical Characterization of the Bond Quality of Co‐Extruded Titanium‐Aluminum Profiles

Advanced Engineering Materials, EarlyView.
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld, Ahmed Dewidar, Karim Qarbi, Hendrik Wester, Florian Patrick Schäfke, Alexej Verschinin, Hans Jürgen Maier, Sebastian Barton, Christian Klose, Johanna Uhe   +9 more
wiley   +1 more source

Interpolation projections and Banach spaces

Journal of Approximation Theory, 1983
Soit K un espace de Hausdorff compact et C(K) l'espace de toutes les fonctions reelles ou complexes a valeurs continues sur K. Soit F(K) un autre espace de Banach de fonctions continues sur K, continuement plonge dans C(K): J: F(K)C→C(K). On etudie la convergence des projections d'interpolation lineaire dans F(K)
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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

An Integrated MATLAB Code for Homogenization‐Based Topology Optimization and Generating Functionally Graded Surface Lattices for Additive Manufacturing

Advanced Engineering Materials, EarlyView.
Unlocking structural efficiency, this work integrates homogenization‐based topology optimization with functionally graded triply periodic minimal surface lattices to create highly efficient, customizable lattice structures. Key achievements include the development of a versatile MATLAB framework, optimization of mechanical properties for additive ...
Mirhan Ozdemir, Ugur Simsek, Cemal Efe Gayir, Kadir Gunaydin, Orhan Gulcan   +4 more
wiley   +1 more source