A domain decomposition algorithm for inverse welding problems

A mathematical model and a numerical scheme for the inverse determination of heat sources generated by means of a welding process is presented in this paper. The accuracy of the heat source retrieval is discussed.

Domain decomposition methods for welding problems

This paper, a 2-D non-linear electric arc-welding problem is considered. It is assumed that the moving arc generates an unknown quantity of energy which makes the problem an inverse problem with an unknown source. Robust algorithms to solve such problems e#ciently, and in certain circumstances in real-time, are of great technological and industrial interest. There are other types of inverse problems which involve inverse determination of heat conductivity or material properties [CDJ63][TE98], inverse problems in material cutting [ILPP98], and retrieval of parameters containing discontinuities [IK90]. As in the metal cutting problem, the temperature of a very hot surface is required and it relies on the use of thermocouples. Here, the solution scheme requires temperature measurements lied in the neighbourhood of the weld line in order to retrieve the unknown heat source. The size of this neighbourhood is not considered in this paper, but rather a domain decomposition concept is presented and an examination of the accuracy of the retrieved source are presented. This paper is organised as follows. The inverse problem is formulated and a method for the source retrieval is presented in the second section. The source retrieval method is based on an extension of the 1-D source retrieval method as proposed in [ILP].

Electronic packaging and reduction in modelling time using domain decomposition

The domain decomposition method is directed to electronic packaging simulation in this article. The objective is to address the entire simulation process chain, to alleviate user interactions where they are heavy to mechanization by component approach to streamline the model simulation process.

Decomposition of in situ particulate absorption spectra

A global dataset of in situ particulate absorption spectra has been decomposed into component functions representing absorption by phytoplankton pigments and non-algal particles. The magnitudes of component Gaussian functions, used to represent absorption by individual or groups of pigments, are well correlated with pigment concentrations determined using High Performance Liquid Chromatography. We are able to predict the presence of chlorophylls a,ba,b, and cc, as well as two different groups of summed carotenoid pigments with percent errors between 30% and 57%. Existing methods of analysis of particulate absorption spectra measured in situ provide for only chlorophyll aa; the method presented here, using high spectral resolution particulate absorption, shows the ability to obtain the concentrations of additional pigments, allowing for more detailed studies of phytoplankton ecology than currently possible with in-situ spectroscopy.

Non-Markovian decoherence: complete positivity and decomposition

In this work, the non-Markovian decoherence is considered in two ways. Firstly, an effective Hamiltonian approach is demonstrated to investigate the decoherence of a quantum system in a non-Markovian environment, in which complete positivity of the reduced dynamics is achieved. This method uses the notion of an effective environment, that is a subsystem of the environment that causes the decoherence. Secondly, the evolution of the system and environment is decomposed, thus partially illuminating how they would interact given that memory effects are allowed. It should be noted that beam splitters and rotators are sufficient to explain this decomposition.

Análisis de las condiciones laborales en las entidades de la economía social en España desde una perspectiva de género

Las empresas de economía social comparten unos valores que motivan un comportamiento diferente de éstas en relación con la composición de sus plantillas, las condiciones de trabajo, su especialización productiva y su ubicación geográfica frente a las empresas ordinarias (sociedades anónimas y laborales) que no son de economía social. Este comportamiento diferencial constituye, a su vez, una importante aportación a la cohesión social y, de forma específica, desde el punto de vista de género, proporciona una mejora de la presencia y posición de las mujeres en el ámbito laboral. El objetivo principal de esta investigación es evaluar la existencia de elementos diferenciales entre las empresas de economía social y las ordinarias en cuanto a la igualdad de oportunidades, condiciones y trayectorias laborales desde una perspectiva de género, centrando el estudio en el caso de España. A partir de la Muestra Continua de Vidas Laborales (2010) se identifican dos grupos de empresas, de economía social (grupo objetivo) y de economía "no social" u ordinaria (grupo de control) equivalentes en cuanto a tamaño y sector de actividad. Para cada grupo y sus respectivos/as trabajadores/as, se realizan contrastes paramétricos y no paramétricos de diferencias de medias entre mujeres y hombres en relación a diferentes características laborales como el tipo de jornada, la duración del contrato o la estabilidad en la trayectoria laboral en la empresa. Además, se lleva a cabo una estimación de la discriminación salarial en ambos grupos siguiendo el modelo Oaxaca-Blinder. Los resultados muestran que las empresas de economía social ofrecen mejores condiciones en el acceso y la permanencia en el puesto laboral a las mujeres, una mayor estabilidad laboral y menor discriminación salarial frente a los hombres.