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Queen’s University Belfast Lanyon Building

A model approach to metals Wei SHA Professor of Materials Science

Metals The most important materials

Other materials Not for the same jobs

Microstructure BigSmall

Microstructure Heat treatment: hardness and precipitation Maraging steels: Modelling of microstructure, properties and applications. Sha, Guo

Microstructure Heat treatment: hardness and precipitation Maraging steels: Modelling of microstructure, properties and applications. Sha, Guo

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

Gasar Gas-reinforced metals Drenchev, Sobczak, Malinov, Sha, Materials Science and Technology, 22, 2006, 1135

Computer software systems Predicting microstructures Predicting properties Predicting the effect of metal processing

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

Neural network NaturalArtificial Input Layer Hidden Layer Output Layer Neuron Neural Network The human brain contains – neurons Sha, Malinov, ASM Handbook, 22A, 2009, 553

Class test Pass the 9 dots with 3 changes of direction Outside the box.

Titanium alloy Phase transformation Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov

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

Titanium aluminide Transmission electron microscopy and analysis Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov

Titanium aluminide Phase field computer simulation Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov

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

Electroless copper Printed circuit boards (PCB) Electroless copper and nickel-phosphorus plating. Sha, Wu, Keong

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

Industrial applications Centrifugal casting process of composite International Conference on Composites and Nanocomposites, 2011, India

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

Industrial applications Hot spot and gas cavity in centrifugal casting Hot spot Gas cavity International Conference on Composites and Nanocomposites, 2011, India

Industrial applications Gas nitriding of titanium alloys μ Titanium alloys: Modelling of microstructure, properties and applications. Sha, Malinov