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Tommy George

Researcher at Wright-Patterson Air Force Base

Publications -  8
Citations -  157

Tommy George is an academic researcher from Wright-Patterson Air Force Base. The author has contributed to research in topics: Fatigue limit & Modal analysis. The author has an hindex of 5, co-authored 8 publications receiving 137 citations.

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An Energy-Based Uniaxial Fatigue Life Prediction Method for Commonly Used Gas Turbine Engine Materials

TL;DR: In this paper, a new energy-based life prediction framework for calculation of axial and bending fatigue results at various stress ratios has been developed, which is capable of constructing prediction intervals based on a specified percent confidence level.
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Multi-Axial Fatigue-Life Prediction via a Strain-Energy Method

TL;DR: In this article, a strain energy-based method was developed to predict the fatigue life of a structure subjected to either shear or biaxial bending loads at various stress ratios, where the experimental strain energy density of each can be determined by measuring the area underneath the monotonic true stress-strain curve and the area within a hysteresis loop, respectively.
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An Energy-Based Torsional-Shear Fatigue Lifing Method

TL;DR: An energy-based fatigue-life prediction framework for the determination of full-life, remaining-life and critical-life of in-service structures subjected to torsional-shear loading has been developed as mentioned in this paper.
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Sustainability Study of Inherent Damping in Additively Manufactured Nickel Alloy

TL;DR: The laser powder bed fusion additive manufacturing process has been used to fabricate unique specimens with inherent damping capability for suppressing vibratory responses associated with high cyclic oscillations as mentioned in this paper.
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Validating a Multifactor Model for Damping Performance of Additively Manufactured Components

TL;DR: In this paper, the vibratory behavior of inherently damped laser powder bed fused (LPBF) specimens has been studied and an improved damping performance assessment via a multifactor correlation model has been presented.