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Microstructure and properties have been studied for high strength steel weld metals with variations in carbon, manganese and nickel. Based on neural network modelling, experimental welds were made using shielded metal arc welding with manganese at 0.5 or 2.0 wt. % and nickel at 7 or 9 wt. %. Additional welds were made where carbon was varied between 0.03(More)
Coalesced bainite is a coarse constituent recently found to develop along with the classical martensite, lower and upper bainite in steel weld metals. Its crystallography has been characterised using electron backscattering diffraction in combination with field emission gun scanning electron microscopy. It is confirmed that coalesced bainite grains are(More)
The relationship between alloying content, microstructure and properties has been studied for high strength steel weld metals with 7 to 9 wt. % nickel. Neural network modelling suggested that manganese reductions lead to large impact toughness increases and that nickel must be added in a controlled manner with respect to manganese in order toincrease impact(More)
Shielded metal arc welding and submerged arc welding were used to prepare experimental weld metals with variations in nickel, manganese and carbon contents. The weld metals contained Ni between 6.6 and 10.5 wt. %, Mn between 0.5 and 2.0 wt. % while carbon was varied between 0.03 and 0.11 wt. %. Mechanical properties were found to be sensitive to alloying(More)
Two experimental high strength steel weld metals were produced with 7 wt-% nickel and either 2 or 0.5 wt-% manganese. Neural network predictions that it is advantageous to reduce the manganese concentration in high nickel alloys have been confirmed, with impact energy increasing from 32 to 113 J at –40uC. High resolution microstructural investigations(More)
Nanoparticles (NPs) comprised of nanoengineered complexes are providing new opportunities for enabling targeted delivery of a range of therapeutics and combinations. A range of functionalities can be included within a nanoparticle complex, including surface chemistry that allows attachment of cell-specific ligands for targeted delivery, surface coatings to(More)
Neural network modelling suggested that the impact strength of high-strength steel weld metals could be increased at moderate expense to yield strength once Ni additions are made in a controlled manner with respect to Mn. Based on these predictions, shielded metal arc welding was used to prepare weld metals with Ni at 7 and 9 wt. % while Mn was at 2.0 or(More)
Neural network predictions suggested that strength of a high strength steel weld metal with 7 wt. % nickel and 0.5 wt. % manganese could be increased significantly at moderate expense to impact toughness by additions of carbon. Based on this, three experimental weld metals were produced with carbon levels between 0.03 and 0.11 wt. %. Mechanical test results(More)
The problems encountered with the interpretation of martensite and the various forms of bainite that are found in high strength steel weld metals have been addressed. Field emission gun scanning electron microscopy was found to overcome resolution difficulties often met with light optical microscopy and conventional scanning electron microscopy. The various(More)
Neural network modelling has been applied to search for novel high strength steel weld metal compositions, potentially offering improved tolerance to variations in the weld thermal cycle. An experimental 7 wt% Ni manual metal arc electrode, formulated on these predictions, was used to produce all-weld metals and welds in high strength steel. Mechanical(More)