Mohammad A. Amooie, Hunter B. Gilbert, Peyton J. Wilson, Michael M. Khonsari
{"title":"Application of 2D inverse heat transfer to analyze mechanical fatigue","authors":"Mohammad A. Amooie, Hunter B. Gilbert, Peyton J. Wilson, Michael M. Khonsari","doi":"10.1016/j.ijfatigue.2025.109030","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a novel approach for reconstructing localized heat sources associated with fatigue degradation in metallic materials using 1D and 2D Inverse Heat Conduction Problem (IHCP) techniques, integrated with a Finite Element Method (FEM) framework. Traditional fatigue analysis methods are often constrained in their ability to analyze complex geometries. To address these limitations, an approach is introduced that leverages the self-heating observed during cyclic loading to estimate plastic work rates and predict fracture locations. The 2D IHCP demonstrates superior accuracy in capturing variations in heat fluxes and identifying critical regions prone to crack initiation. Experimental validation tests using stainless teel (SS) 321 specimens are presented with thermal and stress analysis data supporting the effectiveness of the proposed methodology. The results indicate that the 2D IHCP method is highly effective in predicting plastic work rate, crack initiation onset, Fracture Fatigue Entropy (FFE), and provides a robust framework for analyzing fatigue in components with complex geometries.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109030"},"PeriodicalIF":5.7000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325002270","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents a novel approach for reconstructing localized heat sources associated with fatigue degradation in metallic materials using 1D and 2D Inverse Heat Conduction Problem (IHCP) techniques, integrated with a Finite Element Method (FEM) framework. Traditional fatigue analysis methods are often constrained in their ability to analyze complex geometries. To address these limitations, an approach is introduced that leverages the self-heating observed during cyclic loading to estimate plastic work rates and predict fracture locations. The 2D IHCP demonstrates superior accuracy in capturing variations in heat fluxes and identifying critical regions prone to crack initiation. Experimental validation tests using stainless teel (SS) 321 specimens are presented with thermal and stress analysis data supporting the effectiveness of the proposed methodology. The results indicate that the 2D IHCP method is highly effective in predicting plastic work rate, crack initiation onset, Fracture Fatigue Entropy (FFE), and provides a robust framework for analyzing fatigue in components with complex geometries.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.