WEBINAR

Coupling TQ-Interface with Precipitation Models for Gas Turbine Applications

8 February 2023 | 8:00am EST / 2:00pm CET

Coupling TQ-Interface with Precipitation Models for Gas Turbine Applications

8 February 2023 | 8:00am EST / 2:00pm CET

Nickel alloys are used across the gas turbine engine industry due to their excellent high temperature strength and fatigue performance. The microstructure of the alloy, such as the grain size and the precipitate distribution, play an important role in the development of the macroscopic properties. For this reason, the heat treatment and ageing steps are carefully designed with the use of CALPHAD and precipitation kinetics tools.

In this webinar a multi-component mean-field precipitate evolution code will be presented along with a newly developed graphical user interface. The GUI is developed in MATLAB, but the underlying code uses the TQ Fortran interface to extract the thermodynamic and mobility information from Thermo-Calc.

This webinar is part of our Expert User Series, which invites experts from industry and academia to present their work with Thermo-Calc products.

Speakers:
Dr. Chris Argyrakis, Materials & Process Modelling Engineer, Rolls-Royce plc
Sergiu Pantis MSc., Doctoral Candidate, Technical University of Munich; Research & Development Manager, Optimedia Windows & Doors

Host:
Therese Gustafsson, Technical Sales Manager, Thermo-Calc Software

Date and Time:
8 February 2023 | 8:00am EST / 2:00pm CET

Register for the Webinar

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About the Speakers

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Dr. Chris Argyrakis
Materials & Process Modelling Engineer
Rolls-Royce plc

Dr. Chris Argyrakis

Dr. Chris Argyrakis is a technical specialist and part of the Materials and Process Modelling Group of Rolls-Royce plc, specialising in modelling the microstructure evolution during production of a range of novel alloy systems (i.e. Ni, Ti and Fe alloys) and quantifying the effects of different manufacturing processes on continuum properties for gas turbine engine components. He has supervised multiple PhD and Post-Doctoral students and has coordinated research with the Rolls-Royce plc affiliated University technology centres.

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Sergiu Pantis MSc.
Doctoral Candidate, Technical University of Munich
Research & Development Manager, Optimedia Windows & Doors

Sergiu Pantis MSc.

Sergiu Pantis MSc. is a doctoral candidate at the Technical University of Munich and a Research & Development Manager at Optimedia Windows & Doors. During his time at the University of Sheffield he adapted a mean-field precipitation model developed by Hector Basoalto, Magnus Anderson, Christos Argyrakis and Jeffery Brooks into a Graphical User Interface, significantly improving its ease of use, expanding its user-group and increasing its TRL. He is currently researching the sociological and managerial implications brought by emerging Industry 4.0 technologies (IoT, Blockchain, etc.) on manufacturing companies.

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