Advanced search
Start date

Experimental and numerical analysis of high-strength structural steels during hot stamping and quenching and partitioning processes

Grant number: 14/11793-4
Support type:Regular Research Grants
Duration: March 01, 2015 - February 28, 2017
Field of knowledge:Engineering - Materials and Metallurgical Engineering - Physical Metallurgy
Principal Investigator:Andre Paulo Tschiptschin
Grantee:Andre Paulo Tschiptschin
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil


The development of numerical simulation methods has created new possibilities as regards of optimization of metal forming processes, taking into account real industrial forming processes. Therefore, by applying such methods of analysis it is now possible to assess the material´s phase transformations and predict the interactions between material properties and forming process, the constitutive behavior of the material, defect formation, and optimize process variables as well as predicting die stresses and forecasting the best material-process-performance relationship. The increasing usage of Advanced High Strength Steels (AHSS) in automotive applications demands the use of improved physics-based constitutive laws in the predictive simulation tools used to optimize the performance of the final manufactured part. The main objective of the present research is to model and analyze experimentally the hot stamping process with subsequent quenching and partitioning treatment and assess the several implications of the process. The hot stamping mechanisms, the carbon partitioning occurring during quenching and partitioning and the thermal stability of retained austenite will be characterized by means of Dilatometry, Differential Scanning Calorimetry (DSC) and in situ synchrotron X-ray diffractometry. In addition, metallographic techniques combined with optical and electron microscopy (SEM and TEM) and electron backscattered diffraction (EBSD); magnetic saturation measurements and mechanical testing of material will be used. The numerical analysis will be performed using the finite element method and object-oriented finite element technique (OOF). The results and conclusions obtained in this project will allow the identification of the fundamental mechanisms of the process, helping the design of the hot stamping process for AHSS steels, used primarily in the automotive industry, seeking weight reduction to improve fuel economy, and increased passenger safety. (AU)

Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ARIZA-ECHEVERRI, E. A.; MASOUMI, M.; NISHIKAWA, A. S.; MESA, D. H.; MARQUEZ-ROSSY, A. E.; TSCHIPTSCHIN, A. P. Development of a new generation of quench and partitioning steels: Influence of processing parameters on texture, nanoindentation, and mechanical properties. MATERIALS & DESIGN, v. 186, JAN 15 2020. Web of Science Citations: 0.
MASOUMI, MOHAMMAD; ARIZA ECHEVERRI, EDWAN ANDERSON; TSCHIPTSCHIN, ANDRE PAULO; GOLDENSTEIN, HELIO. Improvement of wear resistance in a pearlitic rail steel via quenching and partitioning processing. SCIENTIFIC REPORTS, v. 9, MAY 15 2019. Web of Science Citations: 0.
ARIZA, E. A.; MASOUMI, M.; TSCHIPTSCHIN, A. P. Improvement of tensile mechanical properties in a TRIP-assisted steel by controlling of crystallographic orientation via HSQ&P processes. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, v. 713, p. 223-233, JAN 24 2018. Web of Science Citations: 10.
ARIZA, E. A.; NISHIKAWA, A. S.; GOLDENSTEIN, H.; TSCHIPTSCHIN, A. P. Characterization and methodology for calculating the mechanical properties of a TRIP-steel submitted to hot stamping and quenching and partitioning (Q&P). MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, v. 671, p. 54-69, AUG 1 2016. Web of Science Citations: 12.

Please report errors in scientific publications list by writing to: