High temperature time-dependent low cycle fatigue behaviour of a type 316L(N) stainless steel

Total strain controlled low cycle fatigue tests on 316L(N) stainless steel have been conducted in air at various strain rates in the temperature range of 773-873 K to identify the operative time-dependent mechanisms and to understand their influence on the cyclic deformation and fracture behaviour of the alloy. The cyclic stress response at all the testing conditions was marked by an initial hardening followed by stress saturation. A negative strain rate stress response is observed under specific testing conditions which is attributed to dynamic strain ageing (DSA). Transmission electron microscopy studies reveal that there is an increase in the dislocation density and enhanced slip planarity in the DSA regime. Fatigue life is found to decrease with a decrease in strain rate. The degradation in fatigue resistance is attributed to the detrimental effects associated with DSA and oxidation. Quantitative measurement of secondary cracks indicate that both transgranular and intergranular cracking are accelerated predominantly under conditions conducive to DSA.

Enantiospecific approach to the tricyclic core structure of tricycloillicinone, ialibinones, and takaneones via ring-closing metathesis reaction

Enantiospecific synthesis of the tricyclic core structure present in the biologically active natural products tricycloillicinone, ialibinones, and takaneones, starting from the readily available campholenaldehyde employing a transannular RCM reaction as the key step, has been accomplished.

Tungsten(0)-carbonyl complexes of naphthylazoimidazoles

The reaction of W(CO)(6) with 1-alkyl-2-(naphthyl-alpha-azo)imidazole (alpha-NaiR) has synthesized [W(CO)(5)(alpha-NaiR-N)] (alpha-NaiR-N refers to the monodentate imidazole-N donor ligand) at room temperature. The structure of[W(CO)(5)(alpha-NaiMe-N)] shows a monodentate imidazole-N coordination of 1-methyl-2-(naphthyl-alpha-azo)imidazole (alpha-NaiMe). The complexes are characterized by elemental, mass and other spectroscopic data (IR, UV-Vis, NMR). On refluxing in THF at 323 K, [W(CO)(5)(alpha-NaiR-N)] undergoes decarbonylation to give [W(CO)(4)(alpha-NaiR-N,N')] (alpha-NaiR-N,N' refers to the imidazole-N(N), azo-N(N') bidentate chelator). Cyclic voltammetry shows metal oxidation (W-0/W-1) and ligand reductions (azo/azo(-), azo(-)/azo(=)). The redox and electronic properties are explained by theoretical calculations using an optimized geometry. DFT computation of [W(CO)(5)(alpha-NaiMe-N)] suggests that the major contribution to the HOMO/HOMO - 1 come from W cl-orbitals and the orbitals of CO. The LUMOs are occupied by alpha-NaiMe functions. The back bonding interaction thus originates from the W(CO)(n) moiety to the LUMO of alpha-NaiR. A TD-DFT calculation has ascribed that HOMO/HOMO - 1 -> LUMO is a mixture of metal-to-ligand and ligand-to-ligand charge transfer underlying the CO -> azoimine contribution. The complexes show emission spectra at room temperature. [W(CO)(4)(alpha-NaiR-N,N')] shows a higher fluorescence quantum yield (phi = 0.05-0.07) than [W(CO)(5)(alpha-NaiR-N)] (phi = 0.01-0.02). (C) 2008 Elsevier Ltd. All rights reserved.

Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine

In this paper, downscaling models are developed using a support vector machine (SVM) for obtaining projections of monthly mean maximum and minimum temperatures (T-max and T-min) to river-basin scale. The effectiveness of the model is demonstrated through application to downscale the predictands for the catchment of the Malaprabha reservoir in India, which is considered to be a climatically sensitive region. The probable predictor variables are extracted from (1) the National Centers for Environmental Prediction (NCEP) reanalysis dataset for the period 1978-2000, and (2) the simulations from the third-generation Canadian Coupled Global Climate Model (CGCM3) for emission scenarios A1B, A2, B1 and COMMIT for the period 1978-2100. The predictor variables are classified into three groups, namely A, B and C. Large-scale atmospheric variables Such as air temperature, zonal and meridional wind velocities at 925 nib which are often used for downscaling temperature are considered as predictors in Group A. Surface flux variables such as latent heat (LH), sensible heat, shortwave radiation and longwave radiation fluxes, which control temperature of the Earth's surface are tried as plausible predictors in Group B. Group C comprises of all the predictor variables in both the Groups A and B. The scatter plots and cross-correlations are used for verifying the reliability of the simulation of the predictor variables by the CGCM3 and to Study the predictor-predictand relationships. The impact of trend in predictor variables on downscaled temperature was studied. The predictor, air temperature at 925 mb showed an increasing trend, while the rest of the predictors showed no trend. The performance of the SVM models that are developed, one for each combination of predictor group, predictand, calibration period and location-based stratification (land, land and ocean) of climate variables, was evaluated. In general, the models which use predictor variables pertaining to land surface improved the performance of SVM models for downscaling T-max and T-min

Lowering of relaxor transition temperature in Lead-based perovskites under pressure

The dielectric constants of lead iron niobate (PFN) and 40% lead zinc niobate (PZN) added to lead iron niobate (PFN0.6-PZN(0.4)) have been measured as a function of pressure up to 6 GPa under isothermal conditions between room temperature and 348 K. The relaxer transition temperature measured at 1 kHz excitation frequency varies at a rate -24.5 K/GPa for PFN and at a rate of - 28.8 K/GPa for the PFN0.6-PZN(0.4) composition.