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Published byKelly Briggs Modified over 9 years ago
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Queen’s University Belfast Crest; Coat of Arms; Emblem
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Queen’s University Belfast Lanyon Building
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A model approach to metals Wei SHA Professor of Materials Science http://space.qub.ac.uk:8077/cber/Sha
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Metals The most important materials
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Other materials Not for the same jobs
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Microstructure BigSmall
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Microstructure Heat treatment: hardness and precipitation Maraging steels: Modelling of microstructure, properties and applications. Sha, Guo
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Microstructure Heat treatment: hardness and precipitation Maraging steels: Modelling of microstructure, properties and applications. Sha, Guo
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Low nickel maraging steel Fe-12.94Ni-1.61Al-1.01Mo-0.23Nb-0.046C Sha, Li, Wilson, Materials Science and Technology, 27, 2011, 983
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Gasar Gas-reinforced metals Drenchev, Sobczak, Malinov, Sha, Materials Science and Technology, 22, 2006, 1135
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Computer software systems Predicting microstructures Predicting properties Predicting the effect of metal processing
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Modelling methodologies 1)The Johnson-Mehl-Avrami method and its adaption to continuous cooling and heating 2)Finite element method 3)Phase field method 4)Atomistic simulation 5)Neural network method 6)Surface engineering products Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov
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Neural network NaturalArtificial Input Layer Hidden Layer Output Layer Neuron Neural Network The human brain contains 10 10 – 10 11 neurons Sha, Malinov, ASM Handbook, 22A, 2009, 553
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Class test Pass the 9 dots with 3 changes of direction Outside the box.
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Titanium alloy Phase transformation Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov
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Furnace Time-temperature path In-situ monitoring The Model Example of simulation and monitoring Nucleation and growth of the phase in Ti6242 Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov
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Titanium aluminide Transmission electron microscopy and analysis Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov
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Titanium aluminide Phase field computer simulation Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov
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Nickel-phosphorus deposits As-deposited 400 C 800 C Chemical vessels and valves Coaxial electrical connectors Waveguide components (guide electromagnetic or sound) Worm feed shafts Airframes Textile machinery Electroless copper and nickel-phosphorus plating. Sha, Wu, Keong
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Electroless copper Printed circuit boards (PCB) Electroless copper and nickel-phosphorus plating. Sha, Wu, Keong
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Industrial applications Optimization of the alloy composition Optimisation Criteria Trained Neural Network Solution Loops for Heat Treatment Loops for Temperature Loops for Alloy Composition Find Alloy composition with max strength at 420°C Fix Heat treatment = Annealing T = 420°C Sn, Cr, Fe, Si, Nb, Mn = 0; O = 0.12 Vary Al, Mo, Zr, V Solution Al = 5.8; Mo = 7.3; Zr = 5.2; V = 0 Tensile strength (420°C) = 932 MPa; Yield strength = 665 MPa; Elongation = 10%; Modulus of elasticity = 94 GPa; Fatigue strength = 448 MPa; Fracture toughness = 101 MPa m 1/2 Sha, Malinov, ASM Handbook, 22A, 2009, 553
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Industrial applications Centrifugal casting process of composite International Conference on Composites and Nanocomposites, 2011, India
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10 s radius r vol. fraction 5 s radius r vol. fraction 15 s radius r vol. fraction 0 s radius r vol. fraction 25 s, completed radius r vol. fraction 20 s radius r vol. fraction Industrial applications SiC particle distribution during casting of Al alloy International Conference on Composites and Nanocomposites, 2011, India
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Industrial applications Hot spot and gas cavity in centrifugal casting Hot spot Gas cavity International Conference on Composites and Nanocomposites, 2011, India
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Industrial applications Gas nitriding of titanium alloys μ Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov http://space.qub.ac.uk:8077/cber/Sha
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