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J. Wayne Jones

Researcher at University of Michigan

Publications -  58
Citations -  1817

J. Wayne Jones is an academic researcher from University of Michigan. The author has contributed to research in topics: Creep & Microstructure. The author has an hindex of 21, co-authored 58 publications receiving 1583 citations. Previous affiliations of J. Wayne Jones include Ford Motor Company.

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Crystallographic fatigue crack initiation in nickel-based superalloy René 88DT at elevated temperature

TL;DR: In this paper, the fatigue behavior of polycrystalline nickel-based superalloy Rene 88DT was examined in the lifetime regime of 105-109 cycles at 593-°C in air using an ultrasonic fatigue apparatus operating at frequencies close to 20 kHz.
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Microstructural extremes and the transition from fatigue crack initiation to small crack growth in a polycrystalline nickel-base superalloy

TL;DR: In this article, a characterization protocol based on the electron backscatter diffraction technique has been developed to identify the combination of microstructural features within crack initiation sites and surrounding neighborhoods that leads to the transition from initiation to early small crack growth.
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The effect of solidification rate on the growth of small fatigue cracks in a cast 319-type aluminum alloy

TL;DR: In this paper, the authors investigated the effect of solidification rate on the growth behavior of small fatigue cracks in a 319-type aluminum alloy, a common Al-Si-Cu alloy used in automotive castings.
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Particle size, volume fraction and matrix strength effects on fatigue behavior and particle fracture in 2124 aluminum-SiCp composites

TL;DR: In this article, the effects of particle size, volume fraction and matrix strength on the stress-controlled axial fatigue behavior and the probability of particle fracture were evaluated for 2124 aluminum alloy reinforced with SiC particles.
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Nonlinear ultrasonics for in situ damage detection during high frequency fatigue

TL;DR: In this article, the authors reported the use of the feedback signal of an ultrasonic fatigue system to dynamically deduce fatigue damage accumulation via changes in the nonlinear ultrasonic parameter.