Grant: Discovery Grants Program - Individual
École de technologie supérieure
$46,000.00
Simulating nucleation and short crack propagation using cellular automaton in gradient microstructures
FY 2023-24
Summary
The proposed research is a continuation of previous discovery grants dedicated to the development of Cellular Automata (CA) methods applied to micromechanics. Thanks to this support, CA have been used to simulate cold creep / fatigue interactions in titanium alloys and localise stress distributions at the microstructural scale in polycrystals. In the present proposal, CA will be further develop to investigate crack initiation and propagation in material including microstructure gradients. This will help developing statistical based models for the fatigue life prediction of surface treated parts. CA, which are fully discrete, spatial-distributed, dynamical systems, serve as an alternative framework for mathematical descriptions and analysis of physical systems. Despite providing computational advantages, CA have not been extensively used in the framework of material science and mechanical engineering and the present candidate is a leader in this domain. The principal and long-term objective of the proposal is to developed CA models able to calculate the crack initiation and propagation from the stress and strain heterogeneities induced by surface treatment processes and applied loads, allowing the development of a statistical approach. Secondary objectives include further development of experimental techniques to calibrate and validate the developed models by documenting the adaptation of the microstructures during fatigue tests for various microstructures and alloys. Surface treatment such as machining, surface peening (hammer or shot), carburizing or induction hardening will be investigated as they are some of the surface treatments investigated by the candidate. Experimental validations will also be covered by the present proposal. The scale at which the measurements have required the development of original and precise techniques that are now available for further material investigation. The statistical results gathered by the CA models will be integrated to various microstructural-based model for fatigue life prediction.
Program
Discovery Grants Program - Individual
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-05291
Name nom
Bocher, Philippe
Department département
génie mécanique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2018
Award amount
46000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2003
Research subject group en
Materials science and technology
Research subject group fr
Metallurgy
Research subject en
Science et technologie des matériaux
Research subject fr
Métallurgie
Application title
Simulating nucleation and short crack propagation using cellular automaton in gradient microstructures
Keyword
Cellular Automaton; Crak Propagation; Crystal Plasticity; Eshelby Approach; Fatigue; Localisation; Micromechanics; Microstructure; Residual Stress; Statistical Analyses
Application summary
The proposed research is a continuation of previous discovery grants dedicated to the development of Cellular Automata (CA) methods applied to micromechanics. Thanks to this support, CA have been used to simulate cold creep / fatigue interactions in titanium alloys and localise stress distributions at the microstructural scale in polycrystals. In the present proposal, CA will be further develop to investigate crack initiation and propagation in material including microstructure gradients. This will help developing statistical based models for the fatigue life prediction of surface treated parts. CA, which are fully discrete, spatial-distributed, dynamical systems, serve as an alternative framework for mathematical descriptions and analysis of physical systems. Despite providing computational advantages, CA have not been extensively used in the framework of material science and mechanical engineering and the present candidate is a leader in this domain. The principal and long-term objective of the proposal is to developed CA models able to calculate the crack initiation and propagation from the stress and strain heterogeneities induced by surface treatment processes and applied loads, allowing the development of a statistical approach. Secondary objectives include further development of experimental techniques to calibrate and validate the developed models by documenting the adaptation of the microstructures during fatigue tests for various microstructures and alloys. Surface treatment such as machining, surface peening (hammer or shot), carburizing or induction hardening will be investigated as they are some of the surface treatments investigated by the candidate. Experimental validations will also be covered by the present proposal. The scale at which the measurements have required the development of original and precise techniques that are now available for further material investigation. The statistical results gathered by the CA models will be integrated to various microstructural-based model for fatigue life prediction.
