TY - GEN
T1 - Establishment Method for Hard-Alpha Defect Distribution Curve of Titanium Alloy of Aero-Engine Life-Limited Parts Considering the Effect of Hot Processing
AU - Li, Guo
AU - Liu, Junbo
AU - Zhou, Huimin
AU - Ding, Suiting
AU - Bao, Mengyao
AU - Ji, Haibin
AU - Cai, Yusheng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Manufacturing defects in life-limited parts of aero-engines, such as hard alpha inclusions and machining scratches, seriously threaten the safety of the aero-engine. The probabilistic failure risk assessment method has been developed to quantitatively assess the impact of material and manufacturing defects on engine failure risk by assuming a material initial defects distribution curve. The distribution of melting defects hard alpha is the core input to the probabilistic failure risk analysis, which is significantly affected by hot processing, such as forging deformation ratio, deformation rate, and deformation temperature. However, limited research has been conducted to investigate the impact of hot working on defect distribution curves. Hence, this paper proposed a method for correcting titanium alloys’ internal hard alpha defect distribution curve. Firstly, based on the experimental data of the artificial hard-alpha defects, the constitutive model is established for the TiN material. Then, the finite element software DEFORM was used to simulate the thermal deformation model of the bar forging and hard-alpha inclusion deformation. Afterward, the thermal deformation law of the hard-alpha inclusion with forging was obtained. Finally, a hard-alpha defect deformation model is established based on the defect deformation law, and the correction line of the hard-alpha defect distribution curve is obtained. The error between the hard-alpha defect deformation model and the artificial preset defect forging test is less than 50%. The deformation model will be applied to correct the critical defect data of domestic titanium alloy materials and then establish the defect distribution curve that reflects domestic materials’ processing level. The correction curve can support the airworthiness forensics of domestic autonomous models.
AB - Manufacturing defects in life-limited parts of aero-engines, such as hard alpha inclusions and machining scratches, seriously threaten the safety of the aero-engine. The probabilistic failure risk assessment method has been developed to quantitatively assess the impact of material and manufacturing defects on engine failure risk by assuming a material initial defects distribution curve. The distribution of melting defects hard alpha is the core input to the probabilistic failure risk analysis, which is significantly affected by hot processing, such as forging deformation ratio, deformation rate, and deformation temperature. However, limited research has been conducted to investigate the impact of hot working on defect distribution curves. Hence, this paper proposed a method for correcting titanium alloys’ internal hard alpha defect distribution curve. Firstly, based on the experimental data of the artificial hard-alpha defects, the constitutive model is established for the TiN material. Then, the finite element software DEFORM was used to simulate the thermal deformation model of the bar forging and hard-alpha inclusion deformation. Afterward, the thermal deformation law of the hard-alpha inclusion with forging was obtained. Finally, a hard-alpha defect deformation model is established based on the defect deformation law, and the correction line of the hard-alpha defect distribution curve is obtained. The error between the hard-alpha defect deformation model and the artificial preset defect forging test is less than 50%. The deformation model will be applied to correct the critical defect data of domestic titanium alloy materials and then establish the defect distribution curve that reflects domestic materials’ processing level. The correction curve can support the airworthiness forensics of domestic autonomous models.
KW - Aero-engine
KW - Airworthiness
KW - Distribution curve of defects
KW - Hot processing
KW - Life limited parts
KW - Probabilistic failure risk assessment
UR - https://www.scopus.com/pages/publications/85200499936
U2 - 10.1007/978-981-97-4010-9_56
DO - 10.1007/978-981-97-4010-9_56
M3 - 会议稿件
AN - SCOPUS:85200499936
SN - 9789819740093
T3 - Lecture Notes in Electrical Engineering
SP - 738
EP - 755
BT - 2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume II
A2 - Fu, Song
PB - Springer Science and Business Media Deutschland GmbH
T2 - Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Y2 - 16 October 2023 through 18 October 2023
ER -