𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A convergence study for the numerical simulation of the IUPAC-LDPE extrusion experiments

✍ Scribed by G Barakos; E Mitsoulis


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
774 KB
Volume
58
Category
Article
ISSN
0377-0257

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Numerical simulation and experiments of
✍ Hong Xiao; Changgen Liu; Jianhua Tao πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 251 KB

A numerical model, based on Reynolds equations, was developed to estimate the drag coefficient of a probe. The relation of the displacement of the probe and time was obtained applying the drag coefficients to equations governing the motion of the probe. Experiments were conducted for verification of

Numerical simulation of the convergence
✍ D. Bernaud; P. De Buhan; S. Maghous πŸ“‚ Article πŸ“… 1995 πŸ› John Wiley and Sons 🌐 English βš– 1009 KB

The present paper describes the numerical implementation of constitutive relationships previously developed for modelling the elastoplastic behaviour of bolted rockmass regarded as a homogenized anisotropic medium on the macroscopic scale. Attention is more particulary focused on the iterative algor

Numerical study of the convergence of th
✍ Farid A. Parpia; Ajaya K. Mohanty πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 421 KB

We have carried out relativistic molecular electronic structure calculations using the prescription of 'strict kinetic balance' applied to four-component spherical Gaussian spinors centred on the nuclei; the exponents for all atomic symmetries have been chosen according to the 'even-tempered' or 'ge

Convergence study of the truncated Karhu
✍ S. P. Huang; S. T. Quek; K. K. Phoon πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 166 KB

## Abstract A random process can be represented as a series expansion involving a complete set of deterministic functions with corresponding random coefficients. Karhunen–Loeve (K–L) series expansion is based on the eigen‐decomposition of the covariance function. Its applicability as a simulation t