Experimental development and modelling of a thermal gradient mechanical fatigue test for single crystal turbine blade application

Monocrystalline high pressure turbine blades are booth cooled by an internal channel network and side-wall crossing holes. As they undergo complex thermo-mechanical cycles they suffer fatigue, creep and oxidation damages. In order to validate lifetime prediction chain under real conditions of use, the study of technological test configurations reproducing turbine cycle conditions was necessary. For that, a thermal gradient mechanical fatigue facility is developed. Thermal gradient is generated through an external surface heating and an internal air cooling. As a result, tests could be conducted following a growing complexity on smooth and multi-perforated tubular specimens going from isothermal test up to thermo-mechanical complex cycle. The need of in-depth analysis of these tests led to the study of two measurement methods. The electrical potential drop method for crack detection and crack following applied to complex shapes and digital image correlation which use was extended to high temperatures. Simulation key issue is the thermal field estimation. Measurement complexity led us to numerically determine it by various methods including aero-thermal coupled calculations. Finally lifetime prediction chain including non-local coverage was confronted with experimental measurements in terms of mechanical response, damage localisation and crack initiation lifetime.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00910829
Author Degeilh, Robin
Maintainer CCSD
Last Updated May 8, 2026, 01:22 (UTC)
Created May 8, 2026, 01:22 (UTC)
Identifier NNT: 2013DENS0019
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Mécanique et Technologie (LMT) ; École normale supérieure - Cachan (ENS Cachan)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
creator Degeilh, Robin
date 2013-06-19T00:00:00
harvest_object_id 64f152b9-33f0-4c3b-ac03-6095b2a4c81a
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE