Role of different material processing methods on the fatigue behavior of an AZ31 magnesium alloy

Lugo, Marcos; Jordon, J.B.; Solanki, Kiran; Hector, Louis G.; Bernard, J.D.; Luo, Alan A.; Horstemeyer, M.F.

doi:10.1016/j.ijfatigue.2013.02.017

Cited by 41 publications

(12 citation statements)

References 49 publications

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“…The PSC term is the number of cycles required for propagation of a physically small crack (PSC), and LC is the number of cycles required for long crack propagation which is applicable to growth in the range of a > (10-20) MS. Here, MS is the characteristic length scale of interaction with microstructural (MS) features which can be defined as the dendrite cell size (DCS) or the smallest grain size (GS)[38,[129][130][131].…”

mentioning

confidence: 99%

An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

Shamsaei

Yadollahi

Bian

et al. 2015

Additive Manufacturing

686

362

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mentioning

confidence: 99%

An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

Shamsaei

Yadollahi

Bian

et al. 2015

Additive Manufacturing

686

362

View full text Add to dashboard Cite

“…While not employed in this work, the model constants GS, GSo, GO, and GOo and the corresponding exponents (co and m) are used to capture grain size and crystallographic orientation effects, as illustrated elsewhere [7][8][9]. The equivalent uniaxial stress amplitude.…”

Section: (11) Results and Discussionmentioning

confidence: 99%

“…> 0. While some previous work employing the MSF model contained long crack growth correlations, in this work and elsewhere [7][8][9], only incubation and MSC/PSC growth regimes were used due to the relative small size of the specimens used in this study. Also, the long crack growth regime would only constitute a small percentage of the total life in this material, and the long crack growth regime is insensitive to microstructural influences.…”

Section: -''Lim 'mentioning

confidence: 99%

“…While the scatter in the 7075-T651 aluminum alloy was much less than in the porosity-prevalent cast A356 alloy, the formulation of the model based on segmentation of incubation and crack stages allowed for successful adaption. Further extension of the MSF model to other alloy systems included correlation to HCP metals, specifically cast and wrought magnesium alloys, with good results [6][7][8][9]. In addition, the MSF As the MSF model has evolved to capture fatigue damage evolution arising from various inclusions and microstructurally infiuenced crack growth regimes for lightweight alloys, the need for a high fidelity fatigue model for traditional metals, like low and medium-carbon steel, still exists.…”

Section: Introductionmentioning

confidence: 99%

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Microstructure-Sensitive Fatigue Modeling of AISI 4140 Steel

Jordon

Horstemeyer

2014

Journal of Engineering Materials and Technology

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A microstructure-based fatigue model is employed to predict fatigue damage in 4140 steel. Fully reversed, strain control fatigue tests were conducted at various strain amplitudes and scanning electron microscopy was employed to establish structure-property relations between the microstructure and cyclic damage. Fatigue cracks were found to initiate from particles near the free surface of the specimens. In addition, fatigue striations were found to originate from these particles and grew radially outward. The fatigue model used in this study captured the microstructural effects and mechanics ofnucleation and growth observed in this ferrous metal. Good correlation of the number of cycles to failure between the experimental results and the model were achieved. Based on analysis of the mechanical testing, fractography and modeling, the fatigue life of the 4140 steel is estimated to comprise mainly of small crack growth in the low cycle regime and crack incubation in the high cyele fatigue regime.

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“…There has been an enormous amount of work performed with these tubular structures with advanced materials such as magnesium alloys [39][40][41][42] and advanced high strength steel (AHSS) materials [43,44]. It is also possible of those materials as energy absorbing tubular structures since they are competitive with common materials such as mild steel.…”

Section: Materials Characteristicsmentioning

confidence: 99%

Experimental Study on Crashworthiness of Functionally Graded Thickness Thin-Walled Tubular Structures

Tian

2015

Exp Mech

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This paper is an experimental investigation of the crashworthiness behavior of functionally graded thickness (FGT) thin-walled tubular structures. Aluminum alloy AA6061-T5 was chosen because of its high strength to weight ratio and high stiffness. A series of FGT tubes with thicknesses varying linearly from one end to the other were evaluated in quasi-static crushing and three-and four-point bending tests for the purpose of evaluating their energy absorption characteristics. AA6061-T5 FGT tubes with four thickness distributions were considered, namely: t top =0.6, 0.8, 1.0, 1.2 mm, t bottom =1.5 mm. Specific energy absorption (SEA) and crush force efficiency (CFE) under maximum deformed displacement (δ max ) were measured from the tests to infer crashworthiness of the FGT tubes. It was found that the FGT tubes exhibit superior performance relative to a uniform thickness (UT) counterpart especially at the highest displacements and deformed more stably in overall crashing behaviors or collapsed modes. For example, the CFE of the AA6061-T5 FGT tube with t top =0.6 mm at δ=80 mm was~105 %; however, that for an AA6061-T5 UT counterpart with a 1.5 mm thickness tube is only 62 %. This suggests the possibility that crash energy absorption management in ground transportation vehicles may be enhanced through the use of the FGT tube designs.

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Role of different material processing methods on the fatigue behavior of an AZ31 magnesium alloy

Cited by 41 publications

References 49 publications

An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

Microstructure-Sensitive Fatigue Modeling of AISI 4140 Steel

Experimental Study on Crashworthiness of Functionally Graded Thickness Thin-Walled Tubular Structures

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