An inverse analysis method for determining abradable constitutive properties
نویسندگان
چکیده
Abradable coatings enable small tip clearances within gas turbine engines to be achieved. These allow blades cut their ideal paths during engine running-in and act as a sacrificial layer unforeseen blade-casing interactions, minimising any damage the blades. Abradables are often plasma sprayed result, given abradable can have wide range of properties which defined by its composition spray process parameters. also known evolve interactions result excessive heating compaction. In industry abradables characterised superficial Rockwell hardness value, it is not clear how relates mechanical or this relationship unique. An inverse methodology presented for obtaining these via simulated testing. Firstly, neural network (NN) trained using tests, then used in conjunction with particle swarm optimisation (PSO) estimate value. determined form conduct series interaction simulations, demonstrating contact forces dominant frequencies differ rub events. This work provides rapidly over full acceptable hardnesses, turn optimise specific blade geometries hardnesses produce optimal compressor performance life. • Inverse method predict constituent from single Hardness measurement. vary between batches variability shown. Blade-Casing simulations demonstrate changes alter response. The an shown greatly affect interaction.
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ژورنال
عنوان ژورنال: Materials today communications
سال: 2022
ISSN: ['2352-4928']
DOI: https://doi.org/10.1016/j.mtcomm.2022.104571