Probability of Detection and Defect Distribution Modeling of Porous Hard-Alpha Inclusions in Titanium Aero-Engine Disks
Hongzhuo Liu, Puying Shi, Zhengli Hua, Dawei Huang, Xiaojun Yan
TL;DR
This paper introduces a method to create and study porous hard-alpha inclusions in titanium aero-engine disks, improving defect detection and modeling.
Contribution
The paper proposes a novel method to fabricate real porous hard-alpha inclusions and establishes the first POD model for them.
Findings
A method to fabricate real porous hard-alpha inclusions in TC4 titanium alloy disks was successfully implemented.
A probability of detection model for porous hard-alpha inclusions was established for the first time.
A defect distribution model with a cubic polynomial relationship was derived, differing from traditional linear models.
Abstract
A major quality challenge in the application of titanium alloys is the persistence of substances known as “hard-alpha inclusions”. Although hard-alpha inclusions are extremely rare and typically small in size in high-quality titanium alloys for aero-engine disks, their hard and brittle nature poses a non-negligible threat to the structural integrity of the disks. Due to the extreme scarcity of natural hard-alpha inclusions, most previous studies have focused on “synthetic dense hard-alpha particles” rather than “real porous hard-alpha inclusions”, inevitably over-looking the differences between them. In this work, a method of introducing titanium nitride sponge preforms into the electrode preparation step of the smelting process is proposed and implemented, successfully fabricating real porous hard-alpha inclusions in TC4 titanium alloy disks. On this basis, the detection…
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Taxonomy
TopicsTitanium Alloys Microstructure and Properties · Surface Treatment and Coatings · Additive Manufacturing Materials and Processes