The present work aims at optimizing the geometry of curved trapezoidal winglets to enhance heat transfer rates (expressed as Colburn factor, j) and minimize pressure losses friction f). A fin-and-tube exchanger was analyzed with mounted on alternate tube either side fins. Multi-objective optimization performed using genetic algorithm (GA) maximize j f. Two surrogate models, viz. response surfac...

Mixotrophic metabolism was evaluated as an option to augment the growth and lipid production of marine microalga Tetraselmis sp. FTC 209. In this study, a five-level three-factor central composite design (CCD) was implemented in order to enrich the W-30 algal growth medium. Response surface methodology (RSM) was employed to model the effect of three medium variables, that is, glucose (organic C...

We propose a curved erbium doped aluminum oxide (Al2O3:Er) distributed feedback (DFB) laser for a reliable integrated photonics light source. The curved structure allows a compensation for radially varying film thickness in Al2O3:Er deposition process. OCIS codes: (130.0130) Integrated optics; (130.3120) Integrated optics devices; (140.3460) Lasers; (130.2790) Guided waves.

A total of 1099 data points consisting of alcohol-alcohol, alcohol-alkane, alkane-alkane, alcohol-amine and acid-acid binary solutions were collected from scientific literature to develop an appropriate artificial neural network (ANN) model. Temperature, molecular weight of the pure components, mole fraction of one component and the structural groups of the components were used as input paramet...

production of several yeast products occur in presence of mixtures of monosaccharides. to study effect of xylose and glucose mixtures with system aeration and nitrogen source as the other two operative variables on xylitol production by pichia guilliermondii, the present work was defined. artificial neural network (ann) strategy was used to athematically show interplay between these three contr...

Lead (Pb) is well known for the containment of soil surfaces. In last few decades, phytoremediation has been most ideal technology to extract Pb from soil, involving numerous chemical reactions and cost analysis. The aim this study model optimize extraction contaminated via Pelargonium hortorum by comparing two modeling approaches: response surface methodology (RSM) artificial neural networks (...

the objective of this paper is to develop an artificial neural network (ann) model which can beused to predict temperature rise due to climate change in regional scale. in the present work data recorded overyears 1985-2008 have been used at training and testing steps for ann model. the multilayer perceptron(mlp) network architecture is used for this purpose. three applied optimization methods a...

In the present study Artificial Neural Network (ANN) has been optimized using a hybrid algorithm of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The hybrid GA-PSO algorithm has been used to improve the estimation of electricity demand of the state of Tamil Nadu in India. The ANN-GA-PSO model uses gross domestic product (GSDP); electricity consumption per capita; income growth r...

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