... and the temperature distributions within the domain are calculated through numerical simulation. The IHCP solution in the form of filter coefficients is defined and a genetic algorithm (GA) is used for the calculation of filter matrix. The number of significant filter coefficients required to evaluate surface heat...

...Asif Afzal Optimization of thermal performance processes using genetic algorithm (GA) combined with some commercial software or other soft computing methods like artificial neural networks are common in many heat transfer applications with the exception of battery thermal management...

... ≤ L wav ≤ 0.09 , and 0.001 ≤ A ≤ 0.005 . Genetic algorithm is selected as an optimization tool that is apt in handling various continuous and discrete variables and the problems with the complexities in the objective function as well as in constraints. Validation of the optimization model is carried...

... ε − NTU relationship for 2 − FHX . The experimental and numerical validation of the equivalence model is presented. Three-fluid cross-flow compact heat exchanger with offset strip fins is optimized for minimum number of entropy generation units using genetic algorithm (GA). Optimum design variables...

... for the most difficult situation) than that necessary for exhaustive search. constructal design Y-shaped cavity convection heat transfer exhaustive search genetic algorithm Constructal theory has generated a worldwide movement toward design as science, i.e., design based on physics...

..., in terms of solution speed and model rigor, that existing modeling methods do not match. volume averaging theory particle swarm optimization heat sink optimization genetic algorithm electronics cooling heat transfer augmentation Past studies have considered different approaches...

.... Assoc. Editor: Giulio Lorenzini. 22 07 2012 18 03 2013 This paper proposes and implements a new methodology for optimizing finned-tube heat exchangers (FTHEs) using a volume-averaging theory (VAT) hierarchical physical model and a genetic algorithm (GA) numerical optimizer...

... Optimization of Design Variables and Heat Exchangers Layout in HRSGs for CCGT, Using Genetic Algorithm ,” J. Appl. Therm. Eng. , 29 , pp. 290 – 299 . 10.1016/j.applthermaleng.2008.02.035 [10] Franco , A. , and Giannini , N. , 2006 , “ A General Method for the Optimum Design of Heat Recovery...

..., as well as effectiveness. Fin pitch, fin height, fin offset length, cold stream flow length, no-flow length, and hot stream flow length are considered as six decision variables. Fast and elitist nondominated sorting genetic algorithm (i.e., nondominated sorting genetic algorithm II) is applied to minimize...

...-film thickness was represented by 100 design variables, and the electrical potential at each electrode were also design variables. The topology optimization problem (inverse problem) has been solved with two methods, i.e., with a genetic algorithm (GA) and with a conjugate gradient method using adjoint...

... be used to handle more complicated problems and to obtain both-side heat transfer correlations simultaneously, where the conventional Wilson-plot method cannot be applied. 06 05 2008 23 10 2008 31 03 2009 genetic algorithms heat exchangers heat transfer laminar to turbulent...

...Atul Nagose; Ankit Somani; Aviral Shrot; Arunn Narasimhan Using an approach that couples genetic algorithm (GA) with conventional numerical simulations, optimization of the geometric configuration of a phase-change material based heat sink (PBHS) is performed in this paper. The optimization is done...

... and oil flowing in the shell side. The genetic algorithm has been used to determine the coefficients of correlations. It is shown that under the identical mass flow, a heat exchanger with continuous helical baffles offers higher heat transfer coefficients and pressure drop than that of a heat exchanger...

... by the sum of squares of residuals between calculated and observed temperatures and heat fluxes at the boundaries. To check the performance and accuracy in retrieval, a comparison is presented between four retrieval methods, viz. Levenberg-Marquardt algorithm, genetic algorithm, artificial neural network...

...Yunfei Chen; Deyu Li; Jennifer R. Lukes; Arun Majumdar Monte Carlo simulation is applied to investigate phonon transport in single crystalline Si nanowires. Phonon-phonon normal ( N ) and Umklapp ( U ) scattering processes are modeled with a genetic algorithm to satisfy energy and momentum...