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EN
This analysis lays emphasis on finding a suitable combination of shielding gas for welding underframe members such as sole bar of Railway Coaches made of corten steel; for improved mechanical, metallurgical and corrosion properties of welds using copper coated solid MIG/MAG welding filler wire size 1.2 mm conforming to AWS/SFA 5.18 ER 70 S in Semi-automatic GMAW process. Solid filler wire is preferred by welders due to less fumes, practically no slag and easy manipulation of welding torch with smooth wire flow during corrosion repair attention, when compared to Flux cored wire. Three joints using Gas metal arc welding (GMAW) with shielding gases viz., Pure CO2, (80% Ar – 20% CO2 ) and (90% Ar – 10% CO2 ) were made from test pieces cut from Sole bar material of Railway Coach. Study of Mechanical properties such as tensile strength, hardness and toughness revealed that welded joint made using shielding gas (80% Ar – 20% CO2 ) has better Mechanical properties compared to the other two shielding gases and comparable to that of Parent metal. Type of Shielding gas used has influence on the chemical composition and macro & micro structures. The Tafel extrapolation study of freshly ground samples in 3.5% NaCl solution revealed that the welded joint made using shielding gas (80% Ar – 20% CO2 ) has also better corrosion resistance which is comparable to the Parent metal as well as similar commercial steels.
PL
Prognozowanie trwałości środków z wykorzystaniem wskaźników degradacji wiąże się z dwoma zagadnieniami praktycznymi:(1) identyfikacją progów niepewnego uszkodzenia dla wskaźników degradacji oraz (2) łączeniem licznych wskaźników degradacji otrzymanych na podstawie danych z monitorowania stanu. Model degradacji w przestrzeni stanów stanowi efektywne podejście do tych dwóch zagadnień. Jednakże dotychczasowe badania dotyczące tego modelu w dużej mierze przyjmują założenie dyskretnego czasu lub dyskretnych stanów, które wymaga równych odstępów między przeglądami lub dyskretyzacji ciągłych wskaźników degradacji. Aby uniknąć konieczności zakładania dyskretnego czasu i dyskretnych stanów, w niniejszej pracy zaproponowano model przestrzeni stanów oparty na procesie Gamma. Proces Gamma charakteryzuje własność monotoniczna rosnącą, która odpowiada nieodwracalnym procesom degradacji środków technicznych w trakcie jednego cyklu serwisowego. Własność monotoniczna rosnąca ułatwia również ustalenie funkcji prawdopodobieństwa, gdy brane są pod uwagę czasy uszkodzeń. W artykule sformułowano algorytmy estymacji parametrów oraz prognozowania czasu życia dla modelu przestrzeni stanów opartego na procesie Gamma. Dodatkowo określono metodę oceny efektywności wskaźników w modelowaniu degradacji. Proponowany model przestrzeni stanów oparty na procesie Gamma oraz jego algorytmy weryfikowano przy użyciu danych symulacyjnych oraz danych terenowych pozyskanych z przedsiębiorstwa zajmującego się ciekłym gazem ziemnym.
EN
Two practical issues are involved in asset life prediction using degradation indicators: (1) identifying uncertain failure thresholds of degradation indicators and (2) fusing multiple degradation indicators extracted from condition monitoring data. The state space degradation model provides an effective approach to address these two issues. However, existing research on the state space degradation model largely adopts a discrete time or states assumption which requires equal inspection intervals or discretising continuous degradation indicators. To remove the discrete time and states assumptions, this paper proposes a Gamma-based state space model. The Gamma process has a monotonically increasing property that is consistent with the irreversible degradation processes of engineering assets within a single maintenance cycle. The monotonically increasing property also makes the establishment of the likelihood function more straightforward when failure times are considered. In this paper, parameter estimation and lifetime prediction algorithms for the Gamma-based state space model are developed. In addition, an effectiveness evaluation approach for indicators in degradation modelling is established. The proposed Gamma-based state space model and algorithms are validated using both simulated data and a field dataset from a liquefied natural gas company.
EN
Biological method is considered as eco-friendly and reliable process for the synthesis of silver nanoparticles (AgNps) in the field of nanotechnology due to its tremendous applications in various fields. In this study we have isolated a total of twelve endophytic fungi from leaves of Curcuma longa (turmeric) and Catharanthus roseus out of which six endophytic fungi showed their ability to synthesized AgNps from silver nitrate (AgNO3) solution which splits into a positive silver ion (Ag+) and a negative nitrate ion (NO3 -) in order to turn the silver ions into solid silver (Agº). Of the six positive endophytic fungi VRD2 showed good and encouraging results and was identified as Penicillium spinulosum VRD2. UV-Visible Spectroscopy confirms the AgNps showing maximum peak at 425nm implying the bioreduction of AgNO3. Transmission Electron Microscopy (TEM) revealed the particle are spherical and well dispersed without agglomeration size ranging from 25- 30nm.
4
Content available remote Biosynthesis of silver nanoparticles by a Bacillus sp. of marine origin
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EN
This study was aimed to explore the nanoparticle synthesizing properties of a silver resistant Bacillus sp. isolated from a marine water sample. The 16SrDNA sequence analysis of the isolate proved it as a Bacillus strain. Very interestingly, the isolate was found to have the ability to form intracellular silver nanoparticles at room temperature within 24 hours. This was confirmed by the UV-Vis absorption analysis which showed a peak at 430 nm corresponding to the plasmon absorbance of silver nanoparticles. Further characterization of the nanoparticles was carried out by transmission electron microscopy (TEM) and scanning electron microscopy (SEM) analysis. The presence of silver nanoparticles with the size less than 100 nm was confirmed. These particles were found to be extremely stable as confirmed by the TEM analysis after three months of purification. So, the current study is the demonstration of an efficient synthesis of stable silver nanoparticles by a marine Bacillus strain.
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