Modeling

The drift towards new challenges in Grid computing including scientific workflow management implies the need for new, robust, multicriteria scheduling algorithms that can be applied by the user in an intuitive way. Currently existing bi-criteria scheduling approaches for scientific workflows are usually restricted to certain criterion pairs and require the user to define his preferences either as weights assigned each

This paper presents an optimization study of a once through multi-stage flash (MSF) desalination process with simple mixer. The optimization problem was to maximize the gained output ratio (GOR) at different plant capacities by varying the top brine temperature.A simple model developed by Soliman was used and slightly modified to take into account the variation of average boiling point elevation

... B. Saha a , P. Karthik Reddy a and AK Ghoshal Corresponding Author Contact Information , a , E-mail The Corresponding Author. ... Nucleation and growth model with reaction order, n = 2/3 is the best suited one and it also predicted the experimental TGA data successfully. ...

Since intrinsic models, which take into account cell volume fraction, follow from proper application of the law of conservation of mass to a multiphase system, the intrinsic modeling approach should be used whenever biomass occupies a significant volume fraction of the culture. A recent report(11) offers the first comparison of intrinsic and nonintrinsic model predictions to actual experimental data gathered from a high-density yeast recycle fermentor. Here, the analysis of Jarzebski et al.(11) has been carried further to show that the improper nonintrinsic model predicts a steady-state culture glucose concentration that differs from that given by the fundamentally correct intrinsic model by over 60% at the optimal, bleed stream flow rate. In addition, a revised formulation for an intrinsic ethanol mass balance is presented.

ABSTRACT This paper describes a two year empirical study investigating efficacy of established design methodology in the phases of conceptualisation and rough embodiment design. The study aims at verification and validation of the results of a field study into the efficacy and learnability of design methodology. In a longitudinal study the development of individual design strategies of design students is being examined, followed by a cross-sectional study into typical procedures used by experienced designers

ABSTRACT A phenomenological constitutive model is postulated to represent the response of metals over a wide range of loading conditions. The model is based on a single internal variable that can be viewed as being related to a characteristic length scale of the microstructure that develops in the metal during deformation. A scaling law for the evolution of this characteristic (or effective) length based on experimental observations is proposed. The constitutive model is illustrated by studying the response of copper and comparing with available experimental results over a very wide range of strain rates (10−2–106 s−1), strains (up to 1) and temperatures (77–473 K).

Averaging models are proposed for viscoplastic and elastic-viscoplastic heterogeneous materials. The case of rigid viscoplastic materials is first discussed. Large deformations are considered. A first class of models is based on different linearizations of the nonlinear local response. A second class of models is obtained from approximate solutions of the nonlinear Eshelby problem. In this problem, an ellipsoid with uniform nonlinear properties is embedded in an infinite homogeneous matrix. An approximate solution is obtained by approaching the matrix behavior with an affine response. Using this solution of the nonlinear Eshelby problem, the average strain rate is calculated in each phase of the composite material, each phase being represented by an ellipsoid embedded in an infinite reference medium. By adequate choices of the reference medium, different averaging models are obtained (self-consistent scheme, nonlinear Mori Tanaka model…). Finally, elasticity is included in the model...