0000000000319026

AUTHOR

Javier Ruiz Hidalgo

showing 2 related works from this author

Influence of M23C6 carbides on the heterogeneous strain development in annealed 420 stainless steel

2020

Understanding the local strain enhancement and lattice distortion resulting from different microstructure features in metal alloys is crucial in many engineering processes. The development of heterogeneous strain not only plays an important role in the work hardening of the material but also in other processes such as recrystallization and damage inheritance and fracture. Isolating the contribution of precipitates to the development of heterogeneous strain can be challenging due to the presence of grain boundaries or other microstructure features that might cause ambiguous interpretation. In this work a statistical analysis of local strains measured by electron back scatter diffraction and …

carbidesMaterials scienceTechnology and EngineeringPolymers and PlasticsDISLOCATION DENSITY DISTRIBUTIONSPLASTIC-DEFORMATIONrepresentative volume element02 engineering and technologyWork hardeningPlasticityDIFFRACTION01 natural sciencesMC carbidesplastic strain gradientFerrite (iron)0103 physical sciencesSTRENGTHElectronicOptical and Magnetic MaterialsComposite material010302 applied physicsMetals and AlloysM23C6 carbidesRecrystallization (metallurgy)MECHANICAL-PROPERTIESfinite element crystal plasticity021001 nanoscience & nanotechnologyMicrostructureStainless SteelElectronic Optical and Magnetic MaterialsSIZEHardening (metallurgy)Ceramics and CompositesGrain boundarySINGLE-CRYSTALSCRYSTAL PLASTICITYDeformation (engineering)0210 nano-technologyCRPRECIPITATION BEHAVIOR
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Isotonic regression for metallic microstructure data: estimation and testing under order restrictions

2021

Investigating the main determinants of the mechanical performance of metals is not a simple task. Already known physical inspired qualitative relations between 2D microstructure characteristics and 3D mechanical properties can act as the starting point of the investigation. Isotonic regression allows to take into account ordering relations and leads to more efficient and accurate results when the underlying assumptions actually hold. The main goal in this paper is to test order relations in a model inspired by a materials science application. The statistical estimation procedure is described considering three different scenarios according to the knowledge of the variances: known variance ra…

FOS: Computer and information sciencesStatistics and ProbabilityMathematical optimizationgeometrically necessary dislocationsComputer science0211 other engineering and technologiesG.302 engineering and technology01 natural sciencesStatistics - ApplicationsMethodology (stat.ME)010104 statistics & probabilitySimple (abstract algebra)Isotonic regressionApplications (stat.AP)0101 mathematicsbootstraporder restrictionsStatistics - Methodology021103 operations researchlikelihood ratio testMicrostructurealternating iterative methodOrder (business)Geometrically necessary dislocationsLikelihood-ratio testStatistics Probability and UncertaintyIsotonic regression62F30 62F03 97K80
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