Interpretation of the Partial Coalescence Prior to Rupture Using Riedel’s Cavitation Model Based on Qualitative Cavity Shape Data

EasyChair Preprint 14284

Abstract

Studying the creep cavitation damage where cavities form, nucleate, grow, and coalesce along the grain boundaries is one way forward to predict the lifetime of materials susceptible to creep deformation in industrial applications such as power plants, where elevated temperatures are paramount. Although Riedel’s generic cavitation equations existed since 1990, the cavitation models were only calibrated when the calibration method was designed in 2017 by the second author. The existing models assume no partial coalescence. Here, we will move forward to take the partial coalescence prior to rupture to calibrate the nucleation and cavity growth using a specific cavity shape. The cavity shape seems to provide useful qualitative data, facilitating the comprehension of the partial coalescence mechanism with the aid of the current cavitation model. The specific material and creep test we investigated is brass alloy Cu–40Zn–2Pb microtomography. Focusing only on the complex shapes having a complexity factor above 0.75, where the coalescence has been evidently associated with such shapes, the current model can be applied to further understand the mechanism at creep times ranging from 137 minutes to 440 minutes. This is done by interpreting the number of cavities and the size of the cavities before and after the coalescence. A complex cavity shape is a result of the coalescence between multiple spherical cavity shapes. The increasing nucleation rate and the decreasing growth rate have been significantly associated with the coalescence mechanism prior to rupture.

Keyphrases: Cavity shape, Creep cavitation damage, Interlinkage, Partial Coalescence, cavitation data, coalescence, creep deformation

@booklet{EasyChair:14284,
  author    = {Mohamed Abdelrehim and Qiang Xu},
  title     = {Interpretation of the Partial Coalescence Prior to Rupture Using Riedel’s Cavitation Model Based on Qualitative Cavity Shape Data},
  howpublished = {EasyChair Preprint 14284},
  year      = {EasyChair, 2024}}