Marcelly Cristiny Nunes de Carvalho
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Marcelly Cristiny Nunes de Carvalho has a total of 33 co-authors. Here are the top co-authors by number of shared publications:
Eden Santos Silva
2 shared publications- Gedeon Silva Reis
Mechanical and Thermomechanical Testing Laboratory (LabEnsaios) Graduate Program in Materials Science and Technology (PPGCTM) Federal Institute of Education, Science and Technology of Maranhão, Campus Monte Castelo São Luís Maranhão Brazil
2 shared publications - Joao Marcos da Silva Nunes
Mechanical and Thermomechanical Testing Laboratory (LabEnsaios) Graduate Program in Materials Science and Technology (PPGCTM) Federal Institute of Education, Science and Technology of Maranhão, Campus Monte Castelo São Luís Maranhão Brazil
2 shared publications - Marcos Natan da Silva Lima
Mechanical and Thermomechanical Testing Laboratory (LabEnsaios) Graduate Program in Materials Science and Technology (PPGCTM) Federal Institute of Education, Science and Technology of Maranhão, Campus Monte Castelo São Luís Maranhão Brazil
2 shared publications Maria Veronica Goncalves Rodrigues
Mechanical and Thermomechanical Testing Laboratory (LabEnsaios) Graduate Program in Materials Science and Technology (PPGCTM) Federal Institute of Education, Science and Technology of Maranhão, Campus Monte Castelo São Luís Maranhão Brazil
2 shared publications- Samuel Filgueiras Rodrigues
Mechanical and Thermomechanical Testing Laboratory (LabEnsaios) Graduate Program in Materials Science and Technology (PPGCTM) Federal Institute of Education, Science and Technology of Maranhão, Campus Monte Castelo São Luís Maranhão Brazil
2 shared publications
Latest Publications
- Open Access
- 14 October 2026
- Published by Wiley in Advanced Engineering Materials
- p. e71336
Thermal Cycle–Microstructure–Property Relationships in Rail Steel Heat‐Affected Zone Simulated by Gleeble
This study investigates the microstructural evolution and mechanical response of premium rail steel subjected to heat‐affected zone (HAZ) thermal cycles representative of flash butt welding (FBW). Dilatometry experiments were performed using a Gleeble thermomechanical simulator. Samples were austenitized at 1100 °C (100 °C/s, 60 s dwell) and cooled at 1–8 °C/s. Cooling rates of 1–3 °C/s produced predominantly pearlitic microstructures, whereas higher rates promoted bainite and martensite formation. HAZ physical simulations were then conducted at peak temperatures of 1200, 1060, 900, and 750 °C. Fully pearlitic microstructures developed at 1060 and 900 °C, while 750 °C produced spheroidized pearlite. The spheroidized condition exhibited the lowest tensile strength (737 MPa) and hardness (296 HV), whereas 1060 °C yielded the highest values (864 MPa and 418 HV). Optical microscopy, scanning electron microscopy, and electron backscatter diffraction revealed systematic changes in colony morphology, grain structure, and crystallographic characteristics. The 750 °C condition showed the lowest hardness and highest wear rate, while 1200 °C exhibited the highest nanohardness and wear resistance, but greater microstructural heterogeneity and reduced ductility. These findings demonstrate the strong influence of HAZ thermal history on phase transformation and mechanical performance, providing guidance for optimizing FBW parameters in rail steels.
- 14 October 2026
- Published by Wiley in Advanced Engineering Materials
- p. e71336
Open AccessThermal Cycle–Microstructure–Property Relationships in Rail Steel Heat‐Affected Zone Simulated by Gleeble
This study investigates the microstructural evolution and mechanical response of premium rail steel subjected to heat‐affected zone (HAZ) thermal cycles representative of flash butt welding (FBW). Dilatometry experiments were performed using a Gleeble thermomechanical simulator. Samples were austenitized at 1100 °C (100 °C/s, 60 s dwell) and cooled at 1–8 °C/s. Cooling rates of 1–3 °C/s produced predominantly pearlitic microstructures, whereas higher rates promoted bainite and martensite formation. HAZ physical simulations were then conducted at peak temperatures of 1200, 1060, 900, and 750 °C. Fully pearlitic microstructures developed at 1060 and 900 °C, while 750 °C produced spheroidized pearlite. The spheroidized condition exhibited the lowest tensile strength (737 MPa) and hardness (296 HV), whereas 1060 °C yielded the highest values (864 MPa and 418 HV). Optical microscopy, scanning electron microscopy, and electron backscatter diffraction revealed systematic changes in colony morphology, grain structure, and crystallographic characteristics. The 750 °C condition showed the lowest hardness and highest wear rate, while 1200 °C exhibited the highest nanohardness and wear resistance, but greater microstructural heterogeneity and reduced ductility. These findings demonstrate the strong influence of HAZ thermal history on phase transformation and mechanical performance, providing guidance for optimizing FBW parameters in rail steels.
- Open Access
- 20 July 2026
- Published by Springer Nature in Journal of Materials Engineering and Performance
- p. 1-22
Computational Modeling of Dynamic Recrystallization and Strain-Induced Precipitation in C-Mn Steels by Thermomechanical Processes
This study proposes a computational model based on the finite element method (FEM) to simulate the thermomechanical behavior of C-Mn steel under continuous cooling. Hot torsion tests were conducted at temperatures from 900 to 1100 °C, with strain rates of 0.1, 1.0, and 10 s −1 , and a strain of $$\varepsilon$$ = 6.0, using an infrared radiation furnace, argon gas shielding, and a chromel–alumel K -type thermocouple. The experimental data were implemented in DEFORM™3D to formulate equations for dynamic recrystallization ( $${\varepsilon}_{0.5}$$ , $${X}_{\text{D}\text{R}\text{X}}$$ ) and recrystallized grain size ( $${d}_{\text{D}\text{R}\text{X}}$$ ), yielding good agreement with DRX kinetic models and accurate numerical predictions. The results show that recrystallization time increases as temperature decreases, while strain-induced precipitation (SIP) begins after the seventh pass. Small variations in rolling temperature altered the microstructure and average grain size, emphasizing the need for strict process control. These findings confirm that controlled rolling is essential to prevent heterogeneous grain-size distributions that may impair mechanical performance. The main contribution of this study is the development of a thermomechanical computational model capable of evaluating a wide range of processing parameter combinations with high efficiency and reduced experimental effort, enabling accurate prediction of microstructural evolution during hot rolling.- 20 July 2026
- Published by Springer Nature in Journal of Materials Engineering and Performance
- p. 1-22
Open AccessComputational Modeling of Dynamic Recrystallization and Strain-Induced Precipitation in C-Mn Steels by Thermomechanical Processes
This study proposes a computational model based on the finite element method (FEM) to simulate the thermomechanical behavior of C-Mn steel under continuous cooling. Hot torsion tests were conducted at temperatures from 900 to 1100 °C, with strain rates of 0.1, 1.0, and 10 s −1 , and a strain of $$\varepsilon$$ = 6.0, using an infrared radiation furnace, argon gas shielding, and a chromel–alumel K -type thermocouple. The experimental data were implemented in DEFORM™3D to formulate equations for dynamic recrystallization ( $${\varepsilon}_{0.5}$$ , $${X}_{\text{D}\text{R}\text{X}}$$ ) and recrystallized grain size ( $${d}_{\text{D}\text{R}\text{X}}$$ ), yielding good agreement with DRX kinetic models and accurate numerical predictions. The results show that recrystallization time increases as temperature decreases, while strain-induced precipitation (SIP) begins after the seventh pass. Small variations in rolling temperature altered the microstructure and average grain size, emphasizing the need for strict process control. These findings confirm that controlled rolling is essential to prevent heterogeneous grain-size distributions that may impair mechanical performance. The main contribution of this study is the development of a thermomechanical computational model capable of evaluating a wide range of processing parameter combinations with high efficiency and reduced experimental effort, enabling accurate prediction of microstructural evolution during hot rolling. - Open Access
- 21 October 2024
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 33, 5322-5338
Stacking fault energy during DRV-DRX competition in high-nitrogen austenitic stainless steel used in orthopedic implants
- 21 October 2024
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 33, 5322-5338
Open AccessStacking fault energy during DRV-DRX competition in high-nitrogen austenitic stainless steel used in orthopedic implants