자료유형  

 학위논문

Control Number  

0017164540

International Standard Book Number  

9798384045656

Dewey Decimal Classification Number  

620.11

Main Entry-Personal Name  

Trombley, Megan L.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Michigan., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

197 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

General Note  

Advisor: Allison, John E.

Dissertation Note  

Thesis (Ph.D.)--University of Michigan, 2024.

Summary, Etc.  

요약Metal additive manufacturing (AM) is an important modern manufacturing method that offers many advantages over conventional manufacturing. Due to its complex thermal history, metal AM is still the focus of active research directed at fully understanding process-structure-property (PSP) relationships. In the age of integrated computational materials engineering (ICME), understanding the mechanisms that drive PSP relationships are critical in enabling robust modeling and optimization of AM processes. The AM processing parameters largely dictate the thermal history, which in turn influences the microstructure, macrostructure, and mechanical properties. In this dissertation, the fatigue behavior of 316L stainless steel made via laser-powder bed fusion (L-PBF) was investigated. There is a particular lack of research addressing the influence of part geometry on fatigue behavior. With the goal being to accelerate the design process, it is imperative to understand how mechanical behavior changes with section thickness to accurately predict when and where failure will occur in large, complex parts. The focus of this dissertation is on the effects of section thickness and AM machine on high cycle fatigue behavior in AM 316L stainless steel.The high cycle fatigue (HCF) behavior was characterized using ultrasonic fatigue (UF) testing. Specimens with a gauge diameter of 5.0 mm, 2.5 mm, and 1.5 mm were fabricated on a GE Additive Concept Laser M2 machine. Specimens with a gauge diameter of 5.0 mm and 1.5 mm were fabricated on a 3D Systems ProX DMP 200 machine. Additionally, selected samples were subjected to a stress relieving heat treatment and others were tested with the as-built surface removed. A random fatigue limit (RFL) model informed by the maximum likelihood estimation (MLE) was used to quantify statistical variability and estimate an S-N curve fit along with fatigue strength at 108 cycles.It was observed that HCF behavior is improved as the gauge diameter is reduced for both AM machines. Thorough investigation revealed that the surface condition and residual stress state are the primary factors influencing the observed section thickness effects on HCF. The influence of AM machine on HCF was modest. Removal of the as-built surface led to a substantial improvement in HCF properties. Stress relieving heat treatment led to an improvement in the HCF properties compared to as-built samples. The residual stress state was determined to be tensile on the surface of the as-built samples with higher stresses in the 5.0 mm specimens compared to the 1.5 mm specimens. There was also a significant difference in residual stress magnitude between the CL M2 and ProX 200 specimens despite showing a similar fatigue response.The small fatigue crack growth (FCG) behavior of 316L made on both the CL M2 and ProX 200 were compared. No significant difference in FCG behavior was observed when altering processing parameters, build orientation, or feedstock supplier. Despite different types of defects and residual stress states, small crack growth rates (CGR) are largely the same. When crack initiation in HCF specimens occurs sub-surface, crack growth begins in vacuum at multiple orders of magnitude slower CGRs, leading to longer fatigue lives. A model for the prediction of HCF behavior informed by CGRs and defect sizes was verified for each condition.The results from this investigation can be used to design new AM processing routes and post-processing routines for improving the predictability of the HCF response of AM fabricated components.

Subject Added Entry-Topical Term  

Materials science.

Subject Added Entry-Topical Term  

Mechanical engineering.

Subject Added Entry-Topical Term  

Statistical physics.

Subject Added Entry-Topical Term  

High temperature physics.

Index Term-Uncontrolled  

High cycle fatigue behavior

Index Term-Uncontrolled  

Crack growth behavior

Index Term-Uncontrolled  

Additive manufacturing

Index Term-Uncontrolled  

Stainless steel

Index Term-Uncontrolled  

Laser-powder bed fusion

Added Entry-Corporate Name  

University of Michigan Materials Science and Engineering

Host Item Entry  

Dissertations Abstracts International. 86-03B.

Electronic Location and Access  

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Control Number  

joongbu:654942