Pore size distributions in AM50 Mg alloy die castings
M Tiryakioğlu - Materials Science and Engineering: A, 2007 - Elsevier
Pore size data in AM50 Mg alloy die castings reported by Lee et al.[Mater. Sci. Eng. A, v.
A427, pp. 99–111, 2006] were reanalyzed by using the lognormal distribution. Best fits were …
A427, pp. 99–111, 2006] were reanalyzed by using the lognormal distribution. Best fits were …
On the size distribution of fracture-initiating defects in Al-and Mg-alloy castings
M Tiryakioğlu - Materials Science and Engineering: A, 2008 - Elsevier
The use of defect size distributions in models for fatigue life is reviewed. A brief summary of
extreme value statistics is provided. The analysis of data reported in the literature on the size …
extreme value statistics is provided. The analysis of data reported in the literature on the size …
Study on scatter in mechanical properties of cylinder head with complex structure characters
D Li, W Huang, J Liu, P Ren, Z Zuo, L Zhang - Engineering Failure Analysis, 2022 - Elsevier
The scatter of casting defects induced by the casting process causes the scatter of
mechanical properties of cast alloys. The cylinder head of a high-power density engine is …
mechanical properties of cast alloys. The cylinder head of a high-power density engine is …
Complex hybrid numerical model in application to failure modelling in multiphase materials
Abstract Development of a discrete/continuum numerical model of different failure modes
operating in dual phase steels during deformation is the main goal of the research …
operating in dual phase steels during deformation is the main goal of the research …
Nth-nearest neighbor statistics for three-dimensional equilibrium arrays of monodisperse spheres
JW Leggoe, JB Riggs - Materials Science and Engineering: A, 2006 - Elsevier
Measures based on mean Nth-nearest neighbor distances efficiently characterize particle
clustering and deviation from the equilibrium random state (ERS) in microstructures. Mean …
clustering and deviation from the equilibrium random state (ERS) in microstructures. Mean …
A technique for characterizing spatial distributions of particles based on Nth-nearest neighbor statistics
JW Leggoe - Journal of materials science, 2006 - Springer
Spatial heterogeneity in secondary phase particle distributions can strongly influence failure
processes. In develo** models that capture the stochastic nature of failure, the fact that …
processes. In develo** models that capture the stochastic nature of failure, the fact that …
Develo** techniques for modeling spatially heterogeneous materials
JW Leggoe - WIT Transactions on Engineering Sciences, 2003 - search.proquest.com
The macroscale properties of materials evolve under the influence of phenomena arising
across a broad spectrum of length scales, with spatial heterogeneity strongly influencing …
across a broad spectrum of length scales, with spatial heterogeneity strongly influencing …