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Impact of Casting Defects on Nickel-Based Superalloys

Study reveals how manufacturing flaws affect fatigue life in superalloys.

Arjun Kalkur Matpadi Raghavendra, Vincent Maurel, Lionel Marcin, Henry Proudhon

― 4 min read


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Table of Contents

Fatigue life refers to how long a material can last under repeated loading before it breaks. This study looks into how certain Defects formed during the manufacturing of two Nickel-based Superalloys-Inconel 100 (IN100) and René 125 (R125)-affect their fatigue life. Casting defects such as Pores and Shrinkages can change how a material behaves under stress, making it important to study their impact.

What are Nickel-Based Superalloys?

Nickel-based superalloys are special materials known for their strength and ability to withstand high temperatures. They are often used in aircraft engines, particularly for turbine blades and disks. These materials can resist deformation at temperatures above 650°C, but they can also develop defects while being manufactured, which can significantly impact their performance.

Types of Defects

During the casting process, materials can form various defects, mainly spheroidal pores and larger, more complex shrinkages.

  • Pores: These are small, round voids formed when gases get trapped in the metal while it cools. They are usually smaller and spherical.

  • Shrinkages: These are larger, irregular cavities that occur due to the metal contracting as it cools. Their shapes can be complicated, affecting how stress is distributed in the material.

Defects and Fatigue Life

The presence of defects in materials leads to stress concentrations, which are areas where stress is much higher than in surrounding areas. This can lead to crack formation and eventually failure. The size, shape, and location of these defects are crucial in determining fatigue performance.

Research has shown that as the size of a defect increases, the fatigue life of the material generally decreases. Surface defects are particularly harmful due to their exposure to environmental factors.

Measuring Defects

To evaluate how these defects impact fatigue life, researchers used X-ray computed tomography (XCT). This technique allows for detailed imaging of the internal structures of the materials, giving insights into the size and shape of defects.

By creating digital models of the materials that reflect their actual defects, scientists can perform simulations to predict how the materials will behave under stress.

Experimental Testing

Fatigue tests involved applying cyclical loads to the samples to measure their endurance limits. The researchers prepared several samples from IN100 and R125 and subjected them to these tests at varying temperatures.

The goal was to gather data on how long these materials could withstand loads before failing, especially focusing on how the defects influenced their durability.

Findings from the Experiments

The results showed a broad range of Fatigue Lives among the samples, even those with similar types of defects. This variability can be attributed to differences in defect characteristics and their arrangements within the material.

Certain samples with large clusters of shrinkages failed much earlier than expected, while others with fewer defects lasted longer. This indicated that the arrangement and interaction of defects play significant roles in fatigue failure.

Energy-Based Non-Local Model

To better predict fatigue life, an original energy-based non-local model was developed. This model considers the influence of the shape and arrangement of defects, focusing on stressed regions rather than average properties across the whole material.

  • Stress Concentration: This model takes into account highly stressed volumes around defects where cracks are likely to initiate. It recognizes that small ligaments created by complex defect shapes can also concentrate stress and lead to premature failure.

Experimental Validation

The energy-based model was validated against experimental results. It accurately predicted fatigue lives within a factor of three, demonstrating its effectiveness across different porosity levels and sample geometries.

This success indicates that understanding the complex nature of defects allows for better forecasting of material performance.

Implications of the Research

The findings have important implications for industries that use nickel-based superalloys, particularly in the aerospace sector. By recognizing the impact of cast defects on fatigue life, manufacturers can improve production methods to minimize defects or better predict the performance of existing materials.

Conclusion

In conclusion, this study emphasizes the critical role of casting defects in determining the fatigue life of nickel-based superalloys. Advanced imaging and modeling techniques have provided new insights into how these materials can fail, paving the way for better material design and testing practices in high-temperature applications.

Future Research

Future efforts should focus on refining the energy-based model to enhance its predictive capabilities. Additionally, more studies on various alloy compositions and manufacturing processes will further our understanding of fatigue performance in complex materials.

By continuing to advance our knowledge in this area, we can ensure safer and more efficient use of nickel-based superalloys in demanding environments, ultimately contributing to improved engineering solutions in the aerospace industry and beyond.

Original Source

Title: Fatigue life prediction at mesoscopic scale of samples containing casting defects: A novel energy based non-local model

Abstract: Fatigue failure driven by stress gradients associated to casting defects was studied in two cast nickel-based superalloys. The experimental campaign revealed complex damage phenomena linked to spongeous shrinkages, characterized by their intricate arrangement of defects in the material medium, forming defect clusters. Multiple cracks were observed to initiate from defect volumes, coalescing with neighboring void surfaces along crystallographic planes. Defects were characterized using X-ray computed tomography, and image-based finite element (FE) models were constructed as digital representations of each experimental sample explicitly containing all real casting defects. Numerical simulations of these FE models under the same conditions as the experiments revealed that tortuous defects contain small ligaments where very high local stresses develop. These ligaments initiate early cracks, but due to the limited stressed volumes, these cracks do not drive the life of the material. A thorough comparison of simulations with experiments led to the development of an original method to define stressed volumes and address small ligaments. Finally, a novel energy-based non-local model was proposed, using two parameters to predict the fatigue lives of samples containing casting defects at the mesoscopic scale. The model was validated against samples with varying porosity levels, sizes, and geometries, accurately predicting fatigue lives within a factor of 3 compared to experimental results. This new approach generalizes the application of non-local methods to real casting defects by considering their shape and stressed volumes to estimate fatigue properties.

Authors: Arjun Kalkur Matpadi Raghavendra, Vincent Maurel, Lionel Marcin, Henry Proudhon

Last Update: 2024-07-28 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2407.19519

Source PDF: https://arxiv.org/pdf/2407.19519

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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