Numeric Calculation for Transient Thermal Stress Field in Wall-Shape Metal Part During Laser Direct Forming

In order to investigate the transient thermal stress field in wall-shape metal part during laser direct forming, a FEM model basing on ANSYS is established, and its algorithm is also dealt with. Calculation results show that while the wall-shape metal part is being deposited, in X direction, the thermal stress in the top layer of the wall-shape metal part is tensile stress and in the inner of the wall-shape metal part is compressive stress. The reason causing above-mentioned thermal stress status in the wall-shape metal part is illustrated, and the influence of the time and the processing parameters on the thermal stress field in wall-shape metal part is also studied. The calculation results are consistent with experimental results in tendency.

Development of Mini Space Bioreactor System

微重力对空间细胞培养的影响规律一直是国际空间生物学的重点研究领域。而空间细胞培养技术和方法作为空间细胞生物学研究的基础，其概念性和原理性设计是正确区分重力对细胞的直接作用和间接作用的前提。另外，空间实验成本高昂，空间细胞培养装置的体积、重量、功耗是首要的制约因素。为保证充分物质交换，满足细胞代谢需求，同时尽可能降低由细胞供液形式产生的力学环境对细胞的影响，区分重力对细胞的直接作用和间接作用，我们研制了逆流片层式微型细胞培养装置。实验表明为使培养液流动对细胞生长影响最小，流动剪切应变率应小于1s-1。通过理论计算分析的逆流片层式微型细胞培养装培养室内流场及流动剪切范围表明，该装置可以满足要求。通过实验检测细胞培养时的氧耗、糖耗等，可以确定不同种类细胞的培养液流量范围。培养室内采用经表面改性的聚合物网架作为细胞载体，使得培养空间得到充分利用，并利于操作。从而为空间细胞培养研究提供了一种新的技术手段。

Experimental Study on Flow Induced Vibration of a Cylinder with Two Degrees of Freedom Near a Rigid Wall

The flow-induced vibration of a cylinder with two degrees of freedom near a rigid wall under the action of steady flow is investigated experimentally. The vibration amplitude and frequency of the cylinder and the vortex shedding frequency at the wake flow region of the cylinder are measured. The influence of gap-to-diameter ratio upon the amplitude response is analyzed. The experimental results indicate that when the reduced velocity (Vr) is in the range of 1.2 < Vr < 2.6, only streamwise vibration with small amplitude occurs, whose frequency is quite close to its natural frequency in the still water. When the reduced velocity Vr > 3.4, both the streamwise and transverse vibrations of the cylinder occur. In this range, the amplitudes of transverse vibration are much larger than those of streamwise vibrations, and the amplitudes of the streamwise vibration also get larger than those at the range of 1.2 < Vr < 2.6. At the range of Vr > 3.4, the frequency of streamwise vibration undergoes a jump at certain values of Vr, at which the streamwise vibrating frequency is twice as much as the transverse one. However, when the streamwise vibration does not experience a jump, its frequency is the same as that of the transverse vibration. The maximum values of second streamwise and transverse vibration amplitudes increase with increasing gap-to-diameter ratios.

Pendleton Artificial Reef: annual progress report presented to Southern California Edison Company

(PDF contains 82 pages.)

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.

Técnicas de Inteligencia Artificial integradas en una aplicación de gestión para una casa rural en JQueryMobile y Protégé Frames.

Este proyecto plantea el reto de realizar una aplicación web para la gestión y control de una casa rural desde dispositivos móviles como smartphones y tabletas, con una interfaz de propietario para gestionar de manera dinámica las diferentes partes de la misma, así como la inclusión de una zona de niños donde se aplicarán tecnologías de Inteligencia Artificial en concreto representación del conocimiento mediante “frames”, donde se permitirá a los usuarios realizar preguntas al sistema para intentar adivinar un árbol que previamente la propietaria de la casa rural habrá establecido. El objetivo no es elaborar un sistema experto, tarea que requeriría muchas más horas que las que corresponden a un proyecto de fin de carrera, sino comprobar la posibilidad de integración de estas herramientas en una aplicación orientada a dispositivos móviles. Se emplearán las funcionalidades de HTML5 para la inclusión de la “zona explorador” donde los niños podrán geo localizar árboles, así como su posterior búsqueda a modo de GPS donde los usuarios podrán ver donde está situado el árbol que desean buscar y su posición actual, la cual se irá actualizando automáticamente.

Experts wall outcomes

Taken from the learning and teaching experts group meeting on 23 June 2015

Artificial fertilization of the eggs, and rearing and identification of the larvae of the anchoveta, Cetengraulis mysticetus

ENGLISH: The anchoveta, Cetengraulis mysticetus (Günther), is an important bait fish used to capture tunas in the Eastern Tropical Pacific Ocean. Contributions to the early life history of this species in the Gulf of Panama were made by Simpson (1959), who was able to identify deductively the planktonic egg of the anchoveta from 10 other anchovy eggs concurrently present. He also reared these planktonic eggs in the laboratory and described the resultant larvae to the age of 48 hours after hatching. Because of the lack of differences among the anchovy larvae, this description does not permit the identification of anchoveta larvae from those of other engraulid species. Furthermore, while adult specimens are easily recognized, up to the present it has not been possible to extend the identification of the juvenile anchoveta to specimens smaller than about 25 mm. The purpose of this study, therefore, was to identify anchoveta from the time of hatching to about 25 mm. SPANISH: La anchoveta, Cetengraulis mysticetus (Günther), es un importante pez de carnada que se emplea en la captura de los atunes en el Océano Pacífico Oriental Tropical. Simpson (1959) logró identificar deductivamente el huevo planctónico de la anchoveta al separarlo de otros diez huevos de anchoas que se encuentran al mismo tiempo, contribuyendo de esta manera a conocer los primeros estados de la historia natural de esta especie en el Golfo de Panamá. El también estableció un criadero en el laboratorio con estos huevos planctónicos y describió las larvas resultantes hasta la edad de 48 horas después de la eclosión. Debido a que no hay diferencias entre las larvas de las anchoas, esta descripción no permite identificar las larvas de la anchoveta de las otras especies de engráulidos. Más aun, a pesar de que los especímenes adultos son fácilmente reconocibles, hasta ahora no ha sido posible identificar la anchoveta juvenil de menos de unos 25 mm. Consecuentemente, el propósito del presente estudio ha sido el de identificar al anchoveta desde el momento de la eclosión hasta que tiene unos 25 mm.