Results 81 to 90 of about 81,916 (317)

Experimental and Computational Modal Analyses for Launch Vehicle Models considering Liquid Propellant and Flange Joints

open access: yesInternational Journal of Aerospace Engineering, 2018
In this research, modal tests and analyses are performed for a simplified and scaled first-stage model of a space launch vehicle using liquid propellant.
Chang-Hoon Sim   +5 more
doaj   +1 more source

The 3D version of the finite element program FESTER

open access: yes, 1992
In this report, a detailed description of the 3-D version finite element pro-gram FESTER is given. This includes: 1. A brief introduction to the package FESTER; 2. Preparing an input data file for the 3D version of FESTER; 3.
Qu, R, Reed, M B
core  

Heat transfer analyses by finite element and boundary element methods. A bibliography (1997–1998)

open access: yes, 2000
This bibliography contains references to papers, conference proceedings and theses/dissertations dealing with finite element and boundary element analyses of heat transfer problems that were published in 1997-1998.
Jaroslav Mackerle, Mackerle, Jaroslav,
core   +1 more source

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

The management of intelligence-assisted finite element analysis technology

open access: yes, 1997
Artificial Intelligence (AI) approaches to Finite Element Analysis (FEA), have had tentative degrees of success over the last few years and some authors have argued that effective FEA can help in the manufacture reliability and safety aspects of ...
Sharif, AM
core  

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

open access: yesAdvanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon   +3 more
wiley   +1 more source

Ship Impact Study: Analytical Approaches and Finite Element Modeling

open access: yesShock and Vibration, 2012
The current paper presents the results of a ship impact study conducted using various analytical approaches available in the literature with the results obtained from detailed finite element analysis.
Pawel Woelke   +4 more
doaj   +1 more source

Superconvergence and error estimation of finite element solutions to fire-exposed frame problems

open access: yes, 2000
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.When a fire reaches the point of flashover the hot gases inside the burning room ignite resulting in furnace-like conditions.
Kirby, James Alexander, Kirby, J.A.
core  

Mesoscopic Finite Element modelling of non-crimp fabrics for drape and failure analyses [PDF]

open access: yes, 2006
To date, macroscopic analysis methods have been invariably used to analyse textile composite structures for forming and mechanical performance. Techniques such as geometric ‘mapping’ for the draping of textile fabrics and classical laminate analysis ...
Creech, G.
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy