Application of the Automatic Image Processing in Modeling of the Deformation Mechanisms Based on the Digital Representation of Microstructure

Rauch, Ł.; Madej, Łukasz

doi:10.1615/intjmultcompeng.v8.i3.90

Cited by 24 publications

(20 citation statements)

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“…[9]. Details of such procedure applied to the DP steel can be found in [10]. The approach is generally composed of the three main stages responsible for image filtering (denoising), phases distinction and phases analysis.…”

Section: Digital Materials Representationmentioning

confidence: 99%

Hybrid Fe/Xfe Finite Element Model for Simulation of Brittle-Ductile Fractures in Dual-Phase Steel Grades.

Perzyński¹,

Madej²

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Section: Digital Materials Representationmentioning

confidence: 99%

Hybrid Fe/Xfe Finite Element Model for Simulation of Brittle-Ductile Fractures in Dual-Phase Steel Grades.

Perzyński¹,

Madej²

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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“…The typical values of thresholds, which separates the light and dark phases on the image, usually cover the first minimum or the first inflexion point located on the histogram on the left side of the peak. They were determined and described in details in [13]. This enabled application of the boundary detection algorithms and separation of different grains within each phase.…”

Section: Image Analysismentioning

confidence: 99%

Robust Multiscale Modelling Of Two-Phase Steels On Heterogeneous Hardware Infrastructures By Using Statistically Similar Representative Volume Element

Rauch

Bzowski

Bachniak

et al. 2015

Archives of Metallurgy and Materials

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Robust multiscale modelling of two-phase steels on heteRogeneous haRdwaRe infRastRuctuRes by using statistically similaR RepResentative volume element efektywne modelowanie wieloskalowe stali dwufazowych na heteRogenicznych architekturach sprzętowych z wykorzystaniem statystycznie podobnych reprezentatywnych elementów objętościowychThe coupled finite element multiscale simulations (FE 2 ) require costly numerical procedures in both macro and micro scales. Attempts to improve numerical efficiency are focused mainly on two areas of development, i.e. parallelization/ distribution of numerical procedures and simplification of virtual material representation. One of the representatives of both mentioned areas is the idea of Statistically Similar Representative Volume Element (SSRVE). It aims at the reduction of the number of finite elements in micro scale as well as at parallelization of the calculations in micro scale which can be performed without barriers. The simplification of computational domain is realized by transformation of sophisticated images of material microstructure into artificially created simple objects being characterized by similar features as their original equivalents. In existing solutions for two-phase steels SSRVE is created on the basis of the analysis of shape coefficients of hard phase in real microstructure and searching for a representative simple structure with similar shape coefficients. Optimization techniques were used to solve this task. In the present paper local strains and stresses are added to the cost function in optimization. Various forms of the objective function composed of different elements were investigated and used in the optimization procedure for the creation of the final SSRVE. The results are compared as far as the efficiency of the procedure and uniqueness of the solution are considered. The best objective function composed of shape coefficients, as well as of strains and stresses, was proposed. Examples of SSRVEs determined for the investigated two-phase steel using that objective function are demonstrated in the paper. Each step of SSRVE creation is investigated from computational efficiency point of view. the proposition of implementation of the whole computational procedure on modern high Performance computing (hPc) infrastructures is described. it includes software architecture of the solution as well as presentation of the middleware applied for data farming purposes.

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“…Various methods can be used to create statistical (e.g., cellular automata, Monte Carlo, sphere growth, inverse analysis) or exact representation of microstructure [9]. In the present work to ensure a detailed transfer of the real microstructure into the digital material representation model, authors decided to use an image processing algorithm [10]. However, due to the complexity of the microstructure morphology additional manual corrections of the obtained results were necessary.…”

Section: Finite Element Model Based On Digital Materials Representatiomentioning

confidence: 99%

Cellular Automata Finite Element Approach for Modelling Microstructure Evolution under Thermo-Mechanical Processing Conditions

Gołąb¹,

Sitko²,

Szyndler³

et al. 2014

Lecture Notes in Computer Science

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Abstract. The concurrent cellular automata finite element (CAFE) approach for modelling microstructure evolution under thermo-mechanical processing conditions is the subject of the present work. Particular attention is put on modelling two phenomena, static recrystallization after deformation and phase transformation during heating. Details of the developed models are presented within the paper. Both models are implemented based on the CA Framework, which is also described in the work. Finally cellular automata approaches are combined with the finite element model based on the digital material representation idea. The numerical modelling of complex multistage hot deformation process was selected as a case study to show capabilities of the developed cellular automata finite element model.

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Application of the Automatic Image Processing in Modeling of the Deformation Mechanisms Based on the Digital Representation of Microstructure

Cited by 24 publications

References 0 publications

Hybrid Fe/Xfe Finite Element Model for Simulation of Brittle-Ductile Fractures in Dual-Phase Steel Grades.

Hybrid Fe/Xfe Finite Element Model for Simulation of Brittle-Ductile Fractures in Dual-Phase Steel Grades.

Robust Multiscale Modelling Of Two-Phase Steels On Heterogeneous Hardware Infrastructures By Using Statistically Similar Representative Volume Element

Cellular Automata Finite Element Approach for Modelling Microstructure Evolution under Thermo-Mechanical Processing Conditions

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