4.6 Article

Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study

Journal

MATERIALS CHEMISTRY AND PHYSICS
Volume 179, Issue -, Pages 282-294

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.matchemphys.2016.05.040

Keywords

Metals; Annealing; Recrystallization; Computer modelling and simulation

Funding

  1. European Community's Research Fund for Coal and Steel (RFCS) [RFSR-CT-2011-00014]

Ask authors/readers for more resources

Validation and further application of a coupled cellular automata - finite element model to investigate the influence of the degree of deformation on static recrystallization kinetics (SRX) during annealing of low carbon steels after cold rolling is presented within the work. Descriptions of major model components involving digital material representation finite element model as well as cellular automata approach for explicit static recrystallization simulations are presented. Obtained SRX results for various heating rates after 65% rolling reduction are validated with experimental data to assess the model's predictive capabilities. Finally, the validated model is used to investigate the influence of inhomogeneous energy distribution, obtained in the sample after rolling to 35, 50 and 65% reductions, on static recrystallization kinetics and grain size evolution. (C) 2016 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Automation & Control Systems

Influence of the roll leveler setup parameters on the quality of high-strength steel leveling operation

Konrad Perzynski, Kamil Pyzynski, Sebastian Swierczynski, Valeriy Pidvysots'kyy, Janusz Klis, Lukasz Madej

Summary: The computer-aided development of the leveling technology for high-strength steel flat sheet products is the primary focus of this research. A reliable hardening model is developed based on experimental and numerical investigation, using an inverse analysis approach for parameter identification. The roll leveling process for various machine setups is simulated using a finite element model, and the results in terms of final flatness and stress distributions are presented. A set of process parameters that meet both criteria is identified, ensuring a high-quality product.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2022)

Article Engineering, Industrial

Severe plastic deformation by Constrained Backward Flowforming

Andrea Ghiotti, Stefania Bruschi, Enrico Simonetto, Tommaso Magro, Lukasz Madej

Summary: This paper introduces a new approach to produce large size ultra-fine grained (UFG) metal sheets using a constrained flowforming process under high hydrostatic pressure. The metal sheets manufactured by this process have an isotropic grain distribution and an average grain size of 4 mm.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2022)

Article Engineering, Industrial

Metal forming driven surface engineering of thin profile wires for high precision industrial filtration screens

Krzysztof Muszka, Marcin Kwiecien, Konrad Perzynski, Janusz Majta, Lukasz Madej

Summary: This paper discusses the importance of metal forming technology for industrial screens, particularly in improving surface quality and extending service life. The research findings demonstrate that surface engineering driven by metal forming is a key factor.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2022)

Article Materials Science, Multidisciplinary

Non-uniform Grain Boundary Migration During Static Recrystallization: A Cellular Automaton Study

Fengxiang Lin, Mateusz Sitko, Lukasz Madej, Laurent Delannay

Summary: The cellular automaton model successfully predicted the shape of recrystallized grains and revealed the influences of gradients of stored energy, grain boundary curvature, and heterogeneity of grain boundary mobility on non-uniform migration of grain boundary segments. The model also compared the contributions of different factors to grain characteristics, showing a decreasing average grain growth rate as a trend.

METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE (2022)

Article Metallurgy & Metallurgical Engineering

Correlating the Microstructural Heterogeneity with Local Formability of Cold-Rolled Dual-Phase and Complex-Phase Steels Through Hardness Gradients

Danuta Szeliga, Yuling Chang, Lukasz Madej, Krzysztof Bzowski, Konrad Perzynski, Christian Haase, Wolfgang Bleck, Maciej Pietrzyk

Summary: The objective of this article is to develop descriptors of multiphase microstructure for comparing the local fracture resistance of materials. The study proposes a hypothesis that local gradients of properties can represent the tendency to local fracture and can be an effective indicator for stretch-flangeability properties. A novel gradient evaluation algorithm is developed, and it is applied to two different steel samples with different parameter setups. The results demonstrate that this method is effective and reliable for comparing materials' stretch-flangeability.

STEEL RESEARCH INTERNATIONAL (2022)

Article Engineering, Industrial

Simulation of metal forming- Visualization of invisible phenomena in the digital era

J. Yanagimoto, D. Banabic, M. Banu, L. Madej

Summary: The simulation of manufacturing processes plays a significant role in the digital era, enabling the visualization and quantification of forming phenomena and analysis of unknown, unmeasurable, and invisible phenomena. Metal forming simulation has made significant progress and is crucial in future factories and the digital society.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2022)

Article Engineering, Civil

Supervised pearlitic-ferritic steel microstructure segmentation by U-Net convolutional neural network

Mateusz Motyl, Lukasz Madej

Summary: The aim of this study is to develop an automated procedure based on machine learning for identifying pearlite islands in two-phase pearlitic-ferritic steel. Different quality input data and neural network architectures were used to find a method with high precision for recognizing pearlite islands. This approach removes the need for expert knowledge in interpreting image data and achieves low overtraining levels.

ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING (2022)

Review Metallurgy & Metallurgical Engineering

Computationally Efficient Cellular Automata-Based Full-Field Models of Static Recrystallization: A Perspective Review

Lukasz Madej, Mateusz Sitko

Summary: The evolution of metallic material microstructures under thermomechanical treatment has a significant impact on the in-use properties of the final product. In recent years, methods that explicitly represent morphological elements have been increasingly used in static recrystallization (SRX) modeling. This article reviews the progress and capabilities of cellular automata (CA)-based full-field SRX models, highlighting various mechanisms controlling microstructure evolution, such as energy distribution, nucleation, grain growth, and grain boundary migration. The article also addresses the computational time issue associated with 3D CA modeling and evaluates possible approaches for reducing simulation times.

STEEL RESEARCH INTERNATIONAL (2023)

Article Materials Science, Multidisciplinary

The Role of Microstructure Morphology on Fracture Mechanisms of Continuously Cooled Bainitic Steel Designed for Rails Application

Aleksandra Krolicka, Grzegorz Lesiuk, Roman Kuziak, Krzysztof Radwanski, Aleksandra Janik

Summary: The fracture toughness of low-carbon bainitic steel after a continuous cooling process was investigated using the J-integral approach. The study focused on determining the microstructural factors that influence the fracture processes, including crystallographic units, phase dimensions, and morphology. The results showed that the fracture surface exhibited complex fracture mechanisms, such as quasi-cleavage, transcrystalline cleavage-ductile, and ductile mode. The cracking processes were mainly influenced by bainitic ferrite packets and prior austenite grain boundaries. Changes in the crack path direction were associated with changes in misorientation angles, with the most significant changes occurring in the bainitic ferrite packets. The study also identified a fracture process zone induced by the crack tip, where blocky austenite transformed into brittle martensite due to its high carbon content. Microcracks were nucleated from the transformed martensite and M/A constituents in the initial microstructure. The reduced dislocation density in the bainitic ferrite, caused by the formation of sub-grains, was observed in the crack tip area. Finally, potential improvements in the fracture toughness of bainitic steels were determined.

METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE (2023)

Article Engineering, Industrial

3D scanning and 3D printing to develop internally helically ribbed tubes

Krzysztof Muszka, Remigiusz Bioniarz, Kamil Cichocki, Janusz Majta, Lukasz Madej

Summary: We have developed a 3D scanning and rapid prototyping-based approach to design high precision, single pass tube drawing technology for the production of high-quality internally helically ribbed tubes. The main challenge in the existing process design is to determine the stability criterion of the floating plug for manufacturing high precision helical ribs. The novelty of our approach lies in using a combination of 3D scanning and rapid prototyping processes to design a complex floating plug geometry based on minimizing membrane energy, along with computer-aided design of drawing die geometry and process parameters.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2023)

Article Engineering, Manufacturing

Evaluation of the effectiveness of neighbors' selection algorithms in the random cellular automata model of unconstrained grain growth

Mateusz Sitko, Michal Czarnecki, Kacper Pawlikowski, Lukasz Madej

Summary: Full-field simulations require high-quality initial digital material representation (DMR) data to improve the predictability of classical finite element models. An unconstrained grain growth algorithm based on the random cellular automata (RCA) method can provide high-quality DMR. This study develops and benchmarks four neighbor-search algorithms for the RCA method, evaluating their complexity and impact on computational efficiency. The results show that significantly reducing RCA simulation time is possible with optimized neighbor-search algorithms and problem-specific code optimizations.

MATERIALS AND MANUFACTURING PROCESSES (2023)

Article Mechanics

Prediction of fracture evolution in the TiN/Al thin films based on a full-field modelling approach

Konrad Perzynski, Grzegorz Cios, Lukasz Madej

Summary: This study presents a new approach to numerically investigate the fracture evolution in pulsed laser-deposited titanium nitride thin films under loading conditions, and demonstrates that the full-field model based on the digital material representation concept can reliably predict local fracture behavior.

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES (2023)

Article Materials Science, Multidisciplinary

Structural and biological analysis of Zn-Cu based biodegradable alloys for orthopedic application

Madeeha Riaz, Manahil Najam, Hina Imtiaz, Farooq Bashir, Tousif Hussain

Summary: This study focuses on the structural and biological analysis of Zn-Cu based biodegradable alloys for orthopedic applications. The results indicate that the alloys have good electrical conductivity and biocompatibility, with potential for promoting bone growth and healing process. Additionally, the alloys exhibit a low corrosion rate and improved corrosion resistance.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Hierarchical porous covalent organic framework-based sensor for the detection of neurodegenerative disorder biomarkers

Rijo Rajeev, Sk Safikul Islam, Anitha Varghese, Gurumurthy Hegde, Suryasarathi Bose

Summary: In this study, a facile and selective electrochemical sensor was developed for the sensing of guanosine. The sensor utilized a unique porous structure and ordered framework, enabling linear detection of guanosine concentration in the range of 0.123-720 μM under specific conditions.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Experimental and theoretical investigation of phytochemical euphol incorporated in ZIF-8 as a drug delivery system for cancer treatment

Rafael V. M. Freire, Dominique Celeste de A. Dias, Jose Yago Rodrigues Silva, Dayane Kelly Dias do Nascimento Santos, Larissa T. Jesus, Ricardo O. Freire, Severino A. Junior

Summary: This study reports the extraction and isolation of euphol from nature, its adsorption in nanosized ZIF-8, and the efficacy of this system against cancer cells. Experimental and simulation results show that ZIF-8 can enhance the effectiveness of euphol against cancer cells and selectively target cancer cells.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

A comprehensive study on the influence of Mg doping on structural, AC conductivity, and dielectric behavior of ZnONPs

Manal A. Awad, Awatif A. Hendi, Maha M. Almoneef, Maymunah Alwehaibi, Khalid M. Ortashi, Wadha Alenazi, Fatimah S. Alfaifi, Shareefa Alahmariye, Asma Alangery, Warda Ali Alghoubiri, Haia Aldosari

Summary: In this study, magnesium-doped zinc oxide nanoparticles were synthesized and characterized. The research findings show that magnesium doping can alter the crystal structure and optical properties of zinc oxide, while enhancing its dielectric constant.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Effects of incorporating manganese in CdS thin films elaborated by CBD and the performance of Schottky diodes TCO/CdS:Mn/C

F. J. Willars-Rodriguez, I. R. Chaverz-Urbiola, M. A. Hernandez-Landaverde, A. Zavala-Franco, E. A. Chavez-Urbiola, P. Vorobiev, Yu V. Vorobiev

Summary: This study focuses on manganese doped CdS thin films synthesized by chemical bath deposition. The incorporation of Mn2+ cations in CdS was found to influence the crystalline structure, morphology, and optoelectronic properties. Doped thin films exhibited a uniform hexagonal structure, changed growth orientation, and showed scale-like and needle-like morphologies. The bandgap and rectification speed of Schottky diodes were modified by introducing manganese. This study suggests the potential for affordable high-speed optoelectronic devices.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

A new perspective on the corrosion of carbon steels in H2SO4 acid environments: Statistical analysis of corrosion mechanisms by response surface modeling

Mehdi Javidi, Hooman Karimi Abadeh, Fatemeh Namazi, Hamid Reza Yazdanpanah, Narjes Shirvani Shiri

Summary: This study investigated the synergistic effect of temperature, solution velocity, and sulphuric acid concentration on the corrosion behavior of carbon steel using response surface methodology. The results showed that temperature affected anodic reactions, solution velocity influenced cathodic reactions, and acid concentration altered the corrosion mechanisms by changing the properties of the surface layer.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Rapid oil-water separation using modified nonwoven viscose fabrics

R. Sakthivel, Thirumoorthy Kulandaivel, Kirankumar Venkatesan Savunthari, K. Mohanraj, Hans-Uwe Dahms, Aswin kumar Anbalagan, Manjunath Rangasamy, Kien-Voon Kong

Summary: In this study, saturated fatty acids were incorporated with silane to modify viscose fabric, resulting in superhydrophobic and superoleophilic properties. The modified fabric showed excellent separation efficiency for oil and organic solvents, with high absorption capacity. The modified fabric also exhibited durability and retained its properties in harsh conditions.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Effect of EDTA-modified alumina composite abrasive on the CMP performance of sapphire substrate

Wei Zhang, Hong Lei, Wenqing Liu, Zefang Zhang, Yi Chen, Xiaogang Hu, Xiangshan Ye

Summary: In this study, EDTA-grafted alumina composite abrasives were produced by a two-step process for the CMP of sapphire substrates. Experimental results showed that the modified abrasives exhibited better dispersion properties and significantly improved polishing efficiency, with higher material removal rates and lower surface roughness. The combination of chemical reaction and mechanical action enhanced the CMP performance.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Development of manganese peroxidase based voltammetric biosensor for detection of textile Azo dyes RR 195 & RB 221

Shumaila Rafaqat, Bushra Perveen, Warda Raqba, Warda Imran, Arshad Hussain, Naeem Ali

Summary: This study developed a MnP-based biosensor for quantitative measurement of dye concentrations using electrochemical signals. The effects of two different dyes on MnP activity were investigated, with one dye showing inhibitory effects and the other dye having no effect. The study demonstrates the potential application of enzyme-based biosensors in dye detection and toxicological monitoring.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Physical, mechanical and microstructural properties of one-part semi-lightweight geopolymers based on metakaolin modified with gypsum and lime

Jinyan Shi, Oguzhan Yavuz Bayraktar, Baris Bayrak, Burak Bodur, Ali Oz, Gokhan Kaplan, Abdulkadir Cuneyt Aydin

Summary: The elemental composition of precursors is crucial for the performance development of geopolymers. The use of lime instead of metakaolin increases the fluidity and mechanical properties of geopolymers, while the addition of gypsum decreases them. Furthermore, higher lime content exacerbates the negative effect of gypsum.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Facile synthesis of Mn3O4-ZnO composite for photocatalytic dye removal and capacitive applications

Aayush Gupta, Kaveri Ajravat, Loveleen K. Brar, O. P. Pandey, Pandey Rajagopalan

Summary: This study focuses on the performance of Mn3O4-ZnO composite material in wastewater treatment and energy storage applications, and presents a detailed comparative analysis. Results show that the composite material with equal concentrations of Mn3O4 and ZnO exhibits excellent photocatalytic activity and high capacitance.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Corrosion characteristics of AA 7075 and AA 7075/SiC/Gr hybrid composite processed through multistep hot cross rolling

V. Murugabalaji, Matruprasad Rout, Harsh Soni, Biranchi Narayan Sahoo

Summary: This study focuses on the corrosion characteristics of AA 7075 and AA 7075 based hybrid composite fabricated using stir casting and hot rolling techniques. The results show that the hybrid composite produced by hot cross rolling exhibits better corrosion resistance compared to the base metal. The addition of a small amount of graphite improves the bonding between the matrix and reinforcements, and the hot cross rolling enhances this bonding, leading to the formation of a strong passivation oxide layer and increased charge transfer resistance, thereby improving corrosion resistance.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Experiment and analysis on edge chamfering rolling of sheet with various wedge angles

Fangkun Ning, Qinghao Shi, Shuping Kong, Weitao Jia, Lifeng Ma

Summary: The paper investigates a new method of rolling sheets with variable chamfering amounts in both the transversal and normal directions. The feasibility of the technological process was tested through simulation and compared with experimental results. Three important process parameters, temperature, stress, and flow velocity, were used to evaluate the effects on chamfering amount before determining the optimal angle. The spread formula for evaluating the shape quality of the plate after ECR was obtained through testing and theory.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Microstructural characterization of AM60-TixNby nanocomposite powders processed by high-energy ball milling

Aqeel Abbas, M. A. Hussein, Mohamed Javid

Summary: In this study, the AM60 magnesium alloy was processed using high-energy ball milling, and the results showed that different reinforcement agents had certain effects on particle size, crystallite size, lattice strain, and dislocation density.

MATERIALS CHEMISTRY AND PHYSICS (2024)

Article Materials Science, Multidisciplinary

Nano-lithium ferrite/nanosilica-filled butadiene-acrylonitrile rubber for microwave absorption

D. S. Mahmoud, E. M. Eldesouki, W. M. Abd El-Gawad

Summary: The development of flexible and lightweight microwave-absorbing materials has become a trendy topic. This study focuses on enhancing the microwave-absorbing performance of butadiene-acrylonitrile rubber (NBR) by incorporating novel reinforcing nanofillers. The results show that the NBR nanocomposite with a loading of 16 parts per hundred rubber (phr) of LiFe 20%/Si has the best microwave-absorbing performance.

MATERIALS CHEMISTRY AND PHYSICS (2024)