Grid-refined LES predictions for Fan-OGV broadband noise

This work forms part of a project on the use of large eddy simulation (LES) for broadband rotor-stator interaction noise prediction. In this paper, we focus on LES calculations of noise sources on and close to a blade trailing edge. We consider two test cases; one an isolated NACA0012 airfoil in flow, and the other an industry-standard rotating fan. In the first case, turbulent mean and RMS velocities and energy spectra at different locations are compared with those from experiment. 1,2The sound generated by the unsteady pressure fluctuations on the airfoil surface and by the flow turbulence will be predicted using a Ffowcs Williams Hawkings (FW-H) surface. In the second case, unsteady flow and acoustic fields around the blade passage 3 are presented for a refined mesh, and the rotor-stator tonal noise will be predicted by using the rotor-wake mean velocity profile and the methodology described in Lloyd & Peake 4. Copyright © 2009 by Qinling Li, Nigel Peake & Mark Savill.

An anisotropic elastic-plastic constitutive model for single and polycrystalline metals. II—Experiments and predictions concerning thin-walled tubular OFHC copper

Predictions based on an anisotropic elastic-plastic constitutive model proposed in the first part of this paper are compared with the experimental stress and strain data on OHFC copper under first torsion to about 13% and partial unloading, and then tension-torsion to about 10% along eight different loading paths. This paper also describes the deformation and stress of the thin-walled tubular specimen under finite deformation, the numerical implementation of the model, and the detailed procedure for determining the material parameters in the model. Finally, the model is extended to a general representation of the multiple directors, and the elastic-viscoplastic extension of the constitutive model is considered.

Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions

This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/path loss in both outdoor and indoor links. The approach followed has been a combined use of ANNs and ray-tracing, the latter allowing the identification and parameterization of the so-called dominant path. A complete description of the process for creating and training an ANN-based model is presented with special emphasis on the training process. More specifically, we will be discussing various techniques to arrive at valid predictions focusing on an optimum selection of the training set. A quantitative analysis based on results from two narrowband measurement campaigns, one outdoors and the other indoors, is also presented.

Faborez: App social de petición de favores instantáneos

Este Proyecto Fin de Carrera ha realizado el diseño y la implementación de la aplicación social Faborez, para la petición de favores instantáneos. El desarrollo se ha realizado en un marco de integración y colaboración directa de los usuarios en el proyecto, partiendo de un Minimum Viable Product inicial e integrando su feedback en la progresiva ampliación de las características del servicio. En implementación se han utilizado tecnologías emergentes, todas de código abierto: MongoDB y Redis para el almacenamiento de datos, Sails.js como plataforma base para el backend y desarrollando como clientes una aplicación web y otra Android nativa.

Android App para Multilingual Central Repository

El objetivo del proyecto es crear una aplicación Android usando la base de conocimiento multilingüe Multilingual Central Repository 3.0 (MCR 3.0).

Empresómetro app

En los últimos años la telefonía móvil ha experimentado un enorme crecimiento, siendo la plataforma Android la más extendida con una cuota de mercado claramente superior a la de sus competidores. El objetivo de este proyecto es la de explorar las posibilidades que ofrece esta plataforma para el desarrollo de aplicaciones para móviles mediante la implementación de la herramienta Empresómetro. Otro objetivo no menos importante es la de gestionar un proyecto con un cliente real, acordando funcionalidades y plazos para la construcción de la herramienta. En el presente documento se detallan todas los pasos realizados para lograr el objetivo, desde el nacimiento de la idea, hasta su desarrollo, pasando por las fases previas de captura de requisitos, análisis, diseño e implementación.

Predictions of fish yields and the status of the Kainji Lake fishery, 1998

Length frequency data was collected for the 6 main species from the Kainji Lake fishery for up to 16 months. Growth parameters were estimated and used for virtual - population and length based cohort analysis. The results from cohort analysis suggest that before the ban on beach seines the maximum economic yield from the fishery was overshot by 70%. Yield per recruit analysis showed that the fish are caught far below their optimum size. Fishing gears and the timing responsible for this early mortality have been identified. After the eradication of seines from the lake a 10% increase in total catch revenue can be expected from the fishery. This is equivalent to an increase in income of Naira 18,300 per annum for each fishing entrepreneur using other methods. A scenario for the regulation of cast net mesh size together with the ban of beach seines has been presented. A further increase of Naira 142 million (N25,500 per entrepreneur) can be anticipated if this is implemented by the Kainji Lake Fisheries Management and Conservation Unit. It is expected that the annual increase in fishing effort presently experienced will cause future yields to decline. The rate of the decline has been reduced by the eradication of the beach seine fishery and will further fall if the minimum mesh size for cast nets is implemented. A recommendation is made to the Kainji Lake Fisheries Management and Conservation Unit to first consolidate the beach seine ban and then to implement a ban of undersized cast nets. (PDF contains 70 pages)