ParisTech

About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Residual stress. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.

Laue-DIC: a new method for improved stress field measurements at the micrometer scale.

Abstract: A better understanding of the effective mechanical behavior of polycrystalline materials requires an accurate knowledge of the behavior at a scale smaller than the grain size. The X-ray Laue microdiffraction technique available at beamline BM32 at the European Synchrotron Radiation Facility is ideally suited for probing elastic strains (and associated stresses) in deformed polycrystalline materials with a spatial resolution smaller than a micrometer. However, the standard technique used to evaluate local stresses from the distortion of Laue patterns lacks accuracy for many micromechanical applications, mostly due to (i) the fitting of Laue spots by analytical functions, and (ii) the necessary comparison of the measured pattern with the theoretical one from an unstrained reference specimen. In the present paper, a new method for the analysis of Laue images is presented. A Digital Image Correlation (DIC) technique, which is essentially insensitive to the shape of Laue spots, is applied to measure the relative distortion of Laue patterns acquired at two different positions on the specimen. The new method is tested on an in situ deformed Si single-crystal, for which the prescribed stress distribution has been calculated by finite-element analysis. It is shown that the new Laue-DIC method allows determination of local stresses with a strain resolution of the order of 10-5.

Analysis of Yarrowia lipolytica extracellular lipase Lip2p glycosylation

Abstract: Wild-type (WT) Yarrowia lipolytica strain secretes a major extracellular lipase Lip2p which is glycosylated. In silico sequence analysis reveals the presence of two potential N-glycosylation sites (N113IS and N134NT). Strains expressing glycosylation mutant forms were constructed. Esterase activities for the different forms were measured with three substrates: p-nitrophenol butyrate (p-NPB), tributyrin and triolein. Sodium dodecyl sulfate polacrylamide gel electrophoresis analysis of supernatant indicated that the suppression of the two sites of N-glycosylation did not affect secretion. S115V or N134Q mutations led to lipase with similar specific activity compared with WT lipase while a T136V mutation reduced specific activity toward p-NPB and tributyrin. Electrospray ionization MS of the WT entire protein led to an average mass of 36 950 Da, higher than the mass deduced from the amino acid sequence (33 385 Da) and to the observation of at least two different mannose structures: Man(8)GlcNAc(2) and Man(9)GlcNAc(2). LC-tandem MS analysis of the WT Lip2p after trypsin and endoproteinase Asp-N treatments led to high coverage (87%) of protein sequence but the peptides containing N113 and N134 were not identified. We confirmed that the presence of N-glycosylation occurred at both N113 and N134 by MS of digested proteins obtained after enzymatic deglycosylation or from mutant forms.

Self-aware Computing Systems: Related Concepts and Research Areas

Abstract: Self-aware computing systems exhibit a number of characteristics (e.g., autonomy, social ability, and proactivity) which have already been studied in different research areas, such as artificial intelligence, organic computing, or autonomic and self-adaptive systems. This chapter provides an overview of strongly related concepts and areas of study from the perspective of self-aware computing systems.

Probing Reliability of Transport Phenomena Based Heat Transfer and Fluid Flow Analysis in Autogeneous Fusion Welding Process

Abstract: The transport phenomena based heat transfer and fluid flow calculations in weld pool require a number of input parameters. Arc efficiency, effective thermal conductivity, and viscosity in weld pool are some of these parameters, values of which are rarely known and difficult to assign a priori based on the scientific principles alone. The present work reports a bi-directional three-dimensional (3-D) heat transfer and fluid flow model, which is integrated with a real number based genetic algorithm. The bi-directional feature of the integrated model allows the identification of the values of a required set of uncertain model input parameters and, next, the design of process parameters to achieve a target weld pool dimension. The computed values are validated with measured results in linear gas-tungsten-arc (GTA) weld samples. Furthermore, a novel methodology to estimate the overall reliability of the computed solutions is also presented.