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Improving Global Quality of Life

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9.1.3 Hot topics<br />

Reducing negative impact on the environment e.g. by introducing gas conditioning plants.<br />

Efficient utilisation <strong>of</strong> refurbished existing assets and life extension <strong>of</strong> existing plant including<br />

appropriate welding repair specifications, technologies and inspection.<br />

Building new plant with increased efficiency e.g. supercritical or ultra supercritical steam generating<br />

plant.<br />

Changing to cleaner burning fuels, with accompanying asset modification.<br />

Refurbishment rather than replacement <strong>of</strong> worn components.<br />

Recycling <strong>of</strong> discarded materials and consumables.<br />

Utilisation <strong>of</strong> procedures and techniques which put a lower burden on the environment e.g. uptake<br />

<strong>of</strong> solid state welding processes for fabrication <strong>of</strong> power plant components.<br />

Improved plant condition monitoring e.g. creep testing.<br />

Retention <strong>of</strong> skills, and development <strong>of</strong> personnel to support technologies and welding management.<br />

9.1.4 Power – Nuclear<br />

The challenges in the development <strong>of</strong> robust welding technology for nuclear reactor materials hold the<br />

key for sustainable development <strong>of</strong> economic, safe and environmentally friendly nuclear energy. The<br />

development <strong>of</strong> new as well as improved variants <strong>of</strong> nuclear reactor materials needs adaptation <strong>of</strong> the latest<br />

advances in welding technology to ensure cost-competitiveness <strong>of</strong> nuclear power. The present maturity in<br />

understanding <strong>of</strong> the science <strong>of</strong> welding has to be utilised for developing suitable welding consumables for<br />

the advanced/ improved materials as also for evolving appropriate repair welding technologies for existing<br />

nuclear power plants. The innovative welding technologies, like activated TIG welding, friction stir welding,<br />

hybrid welding, have to be harnessed to enable their industrial application for fabrication <strong>of</strong> nuclear reactor<br />

components. Tools like artificial neural networks would find increasing application in ensuring high quality<br />

welds. Computational, experimental and theoretical are the three pillars to meet the demands <strong>of</strong> desired<br />

performance and regulatory requirements. On the long-term, development <strong>of</strong> fusion technology will be<br />

crucially dependent on the development <strong>of</strong> appropriate welding technologies for materials like low/reduced<br />

activation ferritic-martensitic steels and oxide dispersion strengthened alloys.<br />

Multi-disciplinary intelligent welding approaches are being increasingly adopted for realising high<br />

performance welding technology through synergistic use <strong>of</strong> sensors, evaluation, modelling and automation.<br />

An intelligent welding system, equipped with sensors, artificial intelligence and actuators to sense and<br />

control welding operations in real time would reduce the occurrence <strong>of</strong> defects in welds and would also<br />

guide the welder to eliminate errors while providing the adaptability needed to accommodate the variability<br />

found in the welding process. Online monitoring <strong>of</strong> welding processes is feasible through synergistic use<br />

<strong>of</strong> sensors and modelling for evaluation <strong>of</strong> narrow gap welds and resistance welds in high performance<br />

components. The application <strong>of</strong> artificial intelligence methods in the field <strong>of</strong> welding is exemplified through<br />

the development <strong>of</strong> quantitative models using artificial neural networks for predicting ferrite content,<br />

solidification mode and weld-bead geometry in austenitic stainless steel welds. The models for ferrite<br />

content and solidification mode can be effectively used for designing the welding consumables having<br />

chemical compositions that minimise hot-cracking susceptibility in austenitic stainless steel welds, while<br />

the models for weld-bead geometry can be used for optimising welding process parameters for obtaining<br />

high quality welds. Research efforts are continuing worldwide for increasingly applying artificial intelligence<br />

methods in automated welding.<br />

Nuclear power is expected to play a key role in the global energy scenario in the coming years, especially in<br />

the context <strong>of</strong> the rapid depletion <strong>of</strong> fossil fuel resources and increasing concerns about climatic changes<br />

90 <strong>Improving</strong> <strong>Global</strong> <strong>Quality</strong> <strong>of</strong> <strong>Life</strong> Through Optimum Use and Innovation <strong>of</strong> Welding and Joining Technologies

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