Results 101 to 110 of about 836,691 (279)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Shortest Paths in Distance-regular Graphs

open access: yesEuropean Journal of Combinatorics, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bendito, Enrique   +2 more
openaire   +2 more sources

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

Assessing Altered Coating Adhesion on Plasma‐Deoxidized Surfaces Under Oxygen‐Free Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
This study demonstrates the effectiveness of atmospheric pressure plasma pretreatment in modifying silicon and stainless steel surfaces to improve adhesion. Argon‐hydrogen plasma increases surface roughness and improves adhesion strength, whereas pure argon results in smoother surfaces and structural changes.
Selina Raumel   +6 more
wiley   +1 more source

The Distance Matrices of Some Graphs Related to Wheel Graphs

open access: yesJournal of Applied Mathematics, 2013
Let D denote the distance matrix of a connected graph G. The inertia of D is the triple of integers (n+(D), n0(D), n-(D)), where n+(D), n0(D), and n-(D) denote the number of positive, 0, and negative eigenvalues of D, respectively.
Xiaoling Zhang, Chengyuan Song
doaj   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

open access: yesAdvanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat   +7 more
wiley   +1 more source

Minimum Feedback Vertex Sets in Distance Graphs and Circulant Graphs

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2008
For a set D⊂ Z n, the distance graph P n (D) has Z n as its vertex set and the edges are between vertices i and j with |i-j|∈D. The circulant graph C n (D) is defined analogously by considering operations modulo n.
Hamamache Kheddouci, Olivier Togni
doaj  

Distance in graphs [PDF]

open access: yesCzechoslovak Mathematical Journal, 1976
Entringer, R. C.   +2 more
openaire   +1 more source

Distance majorization sets in graphs

open access: yes, 2015
Summary: Let \(G=(V,E)\) be a simple graph. A subset \(D\) of \(V(G)\) is said to be a distance majorization set (or dm-set) if for every vertex \(u\in V-D\), there exists a vertex \(v\in D\) such that \(d(u,v)\geq\deg(u)+\deg(v)\). The minimum cardinality of a dm-set is called the distance majorization number of \(G\) (or dm-number of \(G)\) and is ...
R.SUNDARESWARAN, -, V.SWAMİNATHAN, -
openaire   +3 more sources

On distances in generalized Sierpiński graphs

open access: yesApplicable Analysis and Discrete Mathematics, 2018
In this paper we propose formulas for the distance between vertices of a generalized Sierpi?ski graph S(G, t) in terms of the distance between vertices of the base graph G. In particular, we deduce a recursive formula for the distance between an arbitrary vertex and an extreme vertex of S(G, t), and we obtain a recursive formula for the distance ...
Estrada-Moreno, Alejandro   +2 more
openaire   +4 more sources

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