Multi scale modeling of dual phase steels with integrated computational materials engineering framework

Download

Doğucan -_Bakkalbaşı_tez.pdf

Date

2022-11-21

Author

Bakkalbaşı, Doğucan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

128
views

51
downloads

In this thesis, process-chain simulation of of Dual-Phase (DP) steels (DP600, DP800) with different chemical compositions and manufacturing histories is performed, in line with Integrated Computational Materials Engineering (ICME) principles. To do this, the required material data is acquired by multi-scale modelling, which enables bi-directional link between the material production processes with the manufacturing processes. The thesis consists of 2 important stages, each of which includes innovations in its own field, as well as combining many modern methods in an original way. In the first phase of the project, the focus is the inter-critical annealing (IA) process, one of the most important steps in DP steel production. First, the microstructure of the material is determined by computational thermodynamics/kinetics methods. Then, Thermodynamics Based Material Property Calculation (TBMPC) method is employed to determine mechanical properties of individual phases. TBMPC method has not yet been applied to these materials and processing methods. In the second phase, macroscopic mechanical properties are calculated from the individual properties of phases using the composite material theory. Two approaches used here: (a) Mean Field Homogenization and (b) Finite Element Representative Volume Element Homogenization. In the literature, there exist no studies employing MFH, which can be a robust alternative. Moreover, the Bauschinger effect is also studied in material models which has significant consequences on prediction of spring-back especially for multi-phase materials. The findings could provide a better insight for further improvement of performance of DP steels. Moreover, suggested methods have a potential to replace experimental approaches in the future.

Subject Keywords

Integrated Computational Materials Engineering (ICME), multi-scale modeling and simulation, dual-phase (DP) steels

URI

https://hdl.handle.net/11511/101258

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Simulation of inelastic cyclic buckling behavior of steel box sections Dicleli, Murat (Elsevier BV, 2007-4) In this study, a nonlinear structural model is developed to simulate the cyclic axial force-deformation behavior of steel braces including their buckling behavior using the commercially available nonlinear finite element based software ADINA. The nonlinear cyclic axial force-deformation simulation is done for braces with box sections. However, the structural model and simulation techniques described in this study may be applicable to braces with various section types using other commercially available struc...
Photonic integrated circuit components with amorphous structures Sarıhan, Murat Can; Kocaman, Serdar; Department of Electrical and Electronics Engineering (2018) In this thesis work, amorphous photonic materials, which are an alternative to photonic crystals and offering flexibility and comparable performance, are designed for photonic integrated circuits and analyzed. A design guideline is presented for the first time with experimental verification in telecommunication wavelengths. Amorphous photonic materials are artificially designed materials that possessing random refractive index distributions and has photonic band gaps due to the inherent short-range order. F...
Magnetic monitoring approach to kinetics of phase transformations in multicomponent alloy systems Duman, Nagehan; Mekhrabov, O. Mekhrabov; Akdeniz, Mahmut Vedat; Department of Metallurgical and Materials Engineering (2012) It is of great importance for a materials scientist both from fundamental and applicability aspects to have better understanding of solid-state phase transformations and its kinetics responsible for micro-/nano-structure development in alloys and corresponding physical and mechanical properties. Transformation kinetics can be analyzed by various experimental techniques such as thermal analysis, laborious electron microscopy combined with extensive image analysis or by measuring changes in electrical resisti...
Computational modeling of passive myocardium Göktepe, Serdar; Wong, Jonathan; Kuhl, Ellen (Wiley, 2011-01-01) This work deals with the computational modeling of passive myocardial tissue within the framework ofmixed, non-linear finite element methods. We consider a recently proposed, convex, anisotropic hyperelastic model that accounts for the locally orthotropic micro-structure of cardiac muscle. A coordinate-free representation of anisotropy is incorporated through physically relevant invariants of the Cauchy-Green deformation tensors and structural tensors of the corresponding material symmetry group. This model...
Numerical simulation of solidification kinetics in A356/SiCp composites for assessment of as-cast particle distribution CETIN, Arda; Kalkanlı, Ali (Elsevier BV, 2009-06-01) The present work is aimed at studying the effect of solidification rate on reinforcement clustering in particle reinforced metal matrix composites (PMMCs) through numerical simulations and experimental studies. A macrotransport-solidification kinetics (MTSK) model was used to simulate the solidification kinetics of the PMMCs. The experimental validation of the numerical model was achieved through the Newtonian and Fourier thermal analysis methods. Results reveal that the MTSK model can be successfully used ...

Citation Formats

D. Bakkalbaşı, “Multi scale modeling of dual phase steels with integrated computational materials engineering framework,” M.S. - Master of Science, Middle East Technical University, 2022.