Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures

Paulson, Noah H.; Priddy, Matthew W.; McDowell, David L.; Kalidindi, Surya R.

doi:10.1016/j.ijfatigue.2018.09.011

Title: Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures

Abstract

We present that the transition fatigue regime between low cycle fatigue (LCF) and high cycle fatigue (HCF) is often addressed in the design and performance evaluation of load-bearing components used in many structural applications. Transition fatigue is characterized by elevated levels of local inelastic deformation in significant regions of the microstructure as compared to HCF. Typically, crystal plasticity finite element method (CPFEM) simulations are performed to model this phenomenon and to rank-order microstructures by their resistance to crack formation and early growth in the regime of transition fatigue. Unfortunately, these approaches require significant computational resources, inhibiting their use to explore novel materials for transition fatigue resistance. Reduced-order, microstructure-sensitive models are needed to accelerate the search for next-generation, fatigue-resistant materials. In a recent study, Paulson et al. (2018) extended the materials knowledge system (MKS) framework for rank-ordering the HCF resistance of polycrystalline microstructures. The efficacy of this approach lies in the reduced-dimensional representation of microstructures through 2-point spatial correlations and principal component analysis (PCA), in addition to the characterization of the HCF response with a small set of performance measures. In this work, these same protocols are critically evaluated for their applicability to rank-order the transition fatigue resistance of the samemore »« less

Authors:

Paulson, Noah H. ^[1]; Priddy, Matthew W. ^[2]; McDowell, David L. ^[3]; Kalidindi, Surya R. ^[3]

Argonne National Lab. (ANL), Lemont, IL (United States)
Mississippi State Univ., Mississippi State, MS (United States)
Georgia Inst. of Technology, Atlanta, GA (United States)

Publication Date:: Thu Sep 20 00:00:00 EDT 2018

Research Org.:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Org.:: USDOE; National Science Foundation (NSF)

OSTI Identifier:: 1475406

Grant/Contract Number:: AC02-06CH11357

Resource Type:: Accepted Manuscript

Journal Name:: International Journal of Fatigue

Additional Journal Information:: Journal Volume: 119; Journal Issue: C; Journal ID: ISSN 0142-1123

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; 36 MATERIALS SCIENCE; 2-point correlations; crystal plasticity; extreme value statistics; fatigue; structure-property relationship

Citation Formats


                    Paulson, Noah H., Priddy, Matthew W., McDowell, David L., and Kalidindi, Surya R. Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures.  United States: N. p., 2018. 
Web.  doi:10.1016/j.ijfatigue.2018.09.011.

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                    Paulson, Noah H., Priddy, Matthew W., McDowell, David L., & Kalidindi, Surya R. Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures.  United States.  https://doi.org/10.1016/j.ijfatigue.2018.09.011

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                    Paulson, Noah H., Priddy, Matthew W., McDowell, David L., and Kalidindi, Surya R. Thu .  
"Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures".  United States.  https://doi.org/10.1016/j.ijfatigue.2018.09.011.  https://www.osti.gov/servlets/purl/1475406.

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@article{osti_1475406,

  title        = {Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures},

  author       = {Paulson, Noah H. and Priddy, Matthew W. and McDowell, David L. and Kalidindi, Surya R.},

  abstractNote = {We present that the transition fatigue regime between low cycle fatigue (LCF) and high cycle fatigue (HCF) is often addressed in the design and performance evaluation of load-bearing components used in many structural applications. Transition fatigue is characterized by elevated levels of local inelastic deformation in significant regions of the microstructure as compared to HCF. Typically, crystal plasticity finite element method (CPFEM) simulations are performed to model this phenomenon and to rank-order microstructures by their resistance to crack formation and early growth in the regime of transition fatigue. Unfortunately, these approaches require significant computational resources, inhibiting their use to explore novel materials for transition fatigue resistance. Reduced-order, microstructure-sensitive models are needed to accelerate the search for next-generation, fatigue-resistant materials. In a recent study, Paulson et al. (2018) extended the materials knowledge system (MKS) framework for rank-ordering the HCF resistance of polycrystalline microstructures. The efficacy of this approach lies in the reduced-dimensional representation of microstructures through 2-point spatial correlations and principal component analysis (PCA), in addition to the characterization of the HCF response with a small set of performance measures. In this work, these same protocols are critically evaluated for their applicability to rank-order the transition fatigue resistance of the same class of polycrystalline microstructures subjected to increased strain amplitudes. Success in this endeavor requires the formation of homogenization linkages that account for the significantly higher levels of local inelastic deformation and stress redistribution in transition fatigue as compared to HCF. Finally, a set of 12 α-titanium microstructures generated using the open access DREAM.3D software (Groeber and Jackson, 2014) are employed for this evaluation.},

  doi          = {10.1016/j.ijfatigue.2018.09.011},

  journal      = {International Journal of Fatigue},

  number       = C,

  volume       = 119,

  place        = {United States},

  year         = {Thu Sep 20 00:00:00 EDT 2018},

  month        = {Thu Sep 20 00:00:00 EDT 2018}

}

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Journal Article:

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https://doi.org/10.1016/j.ijfatigue.2018.09.011

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Cited by: 27 works

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Figure 1: Schematic summary of the protocols employed to calibrate an MKS homogenization linkage for the characterization of transition fatigue performance in polycrystalline microstructures.

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Works referencing / citing this record:

Predicting Microstructure-Sensitive Fatigue-Crack Path in 3D Using a Machine Learning Framework
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Title: Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures

Abstract

Citation Formats

Figures / Tables:

Simulation-based strategies for microstructure-sensitive fatigue modeling journal, November 2007

Microstructure-sensitive computational modeling of fatigue crack formation journal, September 2010

Strategies for rapid parametric assessment of microstructure-sensitive fatigue for HCP polycrystals journal, November 2017

Microstructure-sensitive extreme value probabilities for high cycle fatigue of Ni-base superalloy IN100 journal, March 2010

Simulated microstructure-sensitive extreme value probabilities for high cycle fatigue of duplex Ti–6Al–4V journal, December 2011

Fatigue hot spot simulation for two Widmanstätten titanium microstructures journal, November 2016

Berechnung der elastischen Konstanten des Vielkristalls aus den Konstanten des Einkristalls journal, August 1958

A self-consistent anisotropic approach for the simulation of plastic deformation and texture development of polycrystals: Application to zirconium alloys journal, September 1993

A finite strain elastic–viscoplastic self-consistent model for polycrystalline materials journal, April 2010

Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems journal, April 2010

Understanding and visualizing microstructure and microstructure variance as a stochastic process journal, September 2011

A new framework for computationally efficient structure–structure evolution linkages to facilitate high-fidelity scale bridging in multi-scale materials models journal, January 2011

Formulation and calibration of higher-order elastic localization relationships using the MKS approach journal, June 2011

Microstructure informatics using higher-order statistics and efficient data-mining protocols journal, April 2011

Calibrated localization relationships for elastic response of polycrystalline aggregates journal, December 2014

A data-driven approach to establishing microstructure–property relationships in porous transport layers of polymer electrolyte fuel cells journal, January 2014

Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals journal, August 2015

Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system journal, June 2015

Microstructure-based knowledge systems for capturing process-structure evolution linkages journal, June 2017

Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels journal, January 2017

Reduced-order structure-property linkages for polycrystalline microstructures based on 2-point statistics journal, May 2017

Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data journal, March 2017

Extraction of reduced-order process-structure linkages from phase-field simulations journal, February 2017

Data-driven reduced-order models for rank-ordering the high cycle fatigue performance of polycrystalline microstructures journal, September 2018

Solid Mixture Permittivities journal, August 1955

Statistical Continuum Theories journal, October 1968

Bounds for effective elastic moduli of disordered materials journal, April 1977

LIII. On lines and planes of closest fit to systems of points in space journal, November 1901

Influence of texture on fatigue properties of Ti-6Al-4V journal, August 1984

Texture analysis in hexagonal materials journal, July 2003

Cyclic plasticity experiments and polycrystal plasticity modeling of three distinct Ti alloy microstructures journal, February 2018

Polycrystal plasticity simulations of fretting fatigue journal, January 2001

A three-dimensional crystal plasticity model for duplex Ti–6Al–4V journal, September 2007

Microstructure-based crystal plasticity modeling of cyclic deformation of Ti–6Al–4V journal, August 2007

Crystal plasticity simulations of fretting of Ti-6Al-4V in partial slip regime considering effects of texture journal, January 2008

Slip and fatigue crack formation processes in an α/β titanium alloy in relation to crystallographic texture on different scales journal, September 2008

Multiaxial Fatigue Life Predictions Under the Influence of Mean-Stresses journal, October 1988

Multiaxial fatigue: An overview and some approximation models for life estimation journal, August 2011

Assessment of small fatigue crack growth driving forces in single crystals with and without slip bands journal, June 2012

Association of Two Variables book, January 2016

Formulation and calibration of higher-order elastic localization relationships using the MKS approach journal, June 2011

Multiaxial fatigue: An overview and some approximation models for life estimation journal, August 2011

Microstructure-sensitive extreme value probabilities for high cycle fatigue of Ni-base superalloy IN100 journal, March 2010

Novel microstructure quantification framework for databasing, visualization, and analysis of microstructure data journal, July 2013

DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D journal, April 2014

Predicting Microstructure-Sensitive Fatigue-Crack Path in 3D Using a Machine Learning Framework journal, July 2019

Application of Gaussian process autoregressive models for capturing the time evolution of microstructure statistics from phase-field simulations for sintering of polycrystalline ceramics journal, September 2019

Simulation-based strategies for microstructure-sensitive fatigue modeling
journal, November 2007

Microstructure-sensitive computational modeling of fatigue crack formation
journal, September 2010

Strategies for rapid parametric assessment of microstructure-sensitive fatigue for HCP polycrystals
journal, November 2017

Microstructure-sensitive extreme value probabilities for high cycle fatigue of Ni-base superalloy IN100
journal, March 2010

Simulated microstructure-sensitive extreme value probabilities for high cycle fatigue of duplex Ti–6Al–4V
journal, December 2011

Fatigue hot spot simulation for two Widmanstätten titanium microstructures
journal, November 2016

Berechnung der elastischen Konstanten des Vielkristalls aus den Konstanten des Einkristalls
journal, August 1958

A self-consistent anisotropic approach for the simulation of plastic deformation and texture development of polycrystals: Application to zirconium alloys
journal, September 1993

A finite strain elastic–viscoplastic self-consistent model for polycrystalline materials
journal, April 2010

Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems
journal, April 2010

Understanding and visualizing microstructure and microstructure variance as a stochastic process
journal, September 2011

A new framework for computationally efficient structure–structure evolution linkages to facilitate high-fidelity scale bridging in multi-scale materials models
journal, January 2011

Formulation and calibration of higher-order elastic localization relationships using the MKS approach
journal, June 2011

Microstructure informatics using higher-order statistics and efficient data-mining protocols
journal, April 2011

Calibrated localization relationships for elastic response of polycrystalline aggregates
journal, December 2014

A data-driven approach to establishing microstructure–property relationships in porous transport layers of polymer electrolyte fuel cells
journal, January 2014

Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals
journal, August 2015

Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system
journal, June 2015

Microstructure-based knowledge systems for capturing process-structure evolution linkages
journal, June 2017

Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels
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Reduced-order structure-property linkages for polycrystalline microstructures based on 2-point statistics
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Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data
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Extraction of reduced-order process-structure linkages from phase-field simulations
journal, February 2017

Data-driven reduced-order models for rank-ordering the high cycle fatigue performance of polycrystalline microstructures
journal, September 2018

Solid Mixture Permittivities
journal, August 1955

Statistical Continuum Theories
journal, October 1968

Bounds for effective elastic moduli of disordered materials
journal, April 1977

LIII. On lines and planes of closest fit to systems of points in space
journal, November 1901

Influence of texture on fatigue properties of Ti-6Al-4V
journal, August 1984

Texture analysis in hexagonal materials
journal, July 2003

Cyclic plasticity experiments and polycrystal plasticity modeling of three distinct Ti alloy microstructures
journal, February 2018

Polycrystal plasticity simulations of fretting fatigue
journal, January 2001

A three-dimensional crystal plasticity model for duplex Ti–6Al–4V
journal, September 2007

Microstructure-based crystal plasticity modeling of cyclic deformation of Ti–6Al–4V
journal, August 2007

Crystal plasticity simulations of fretting of Ti-6Al-4V in partial slip regime considering effects of texture
journal, January 2008

Slip and fatigue crack formation processes in an α/β titanium alloy in relation to crystallographic texture on different scales
journal, September 2008

Multiaxial Fatigue Life Predictions Under the Influence of Mean-Stresses
journal, October 1988

Multiaxial fatigue: An overview and some approximation models for life estimation
journal, August 2011

Assessment of small fatigue crack growth driving forces in single crystals with and without slip bands
journal, June 2012

Association of Two Variables
book, January 2016

Formulation and calibration of higher-order elastic localization relationships using the MKS approach
journal, June 2011

Multiaxial fatigue: An overview and some approximation models for life estimation
journal, August 2011

Microstructure-sensitive extreme value probabilities for high cycle fatigue of Ni-base superalloy IN100
journal, March 2010

Novel microstructure quantification framework for databasing, visualization, and analysis of microstructure data
journal, July 2013

DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D
journal, April 2014

Predicting Microstructure-Sensitive Fatigue-Crack Path in 3D Using a Machine Learning Framework
journal, July 2019

Application of Gaussian process autoregressive models for capturing the time evolution of microstructure statistics from phase-field simulations for sintering of polycrystalline ceramics
journal, September 2019