Identification of material models for numerical simulation of powder pressing

• Grant number: 18/02801-4
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2018
• End date: February 28, 2021
• Field of knowledge: Engineering - Mechanical Engineering - Mechanics of Solids
• Principal Investigator: Rodrigo Bresciani Canto
• Grantee: Rodrigo Bresciani Canto
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
• Associated research grant(s): 18/15266-0 - Detection and quantification of fracture mechanisms of ceramics at room and high temperatures using digital image correlation, AP.R SPRINT

Abstract

Numerical simulation is an important tool to reduce production costs and improve the control of properties and dimensions of parts produced by pressing and sintering of powders. However, the numerical simulation of such process is complex because the constitutive models demand a great number of parameters. The proposal of this project is the identification of constitutive models for computer modeling of (polymeric, ceramic or metallic) powder pressing. Mechanical tests, special molds, and finite element models will be developed for the identification, calibration, and validation of such models. The parameters will be identified and calibrated by procedures based on mechanical tests as: uniaxial compression, uniaxial tension and diametral compression (Brazilian test). Specimens will be processed by uniaxial or isostatic pressing in different levels of porosity. The Digital Image Correlation is a full-field technique that will be used to obtain the displacement and strain fields during the mechanical tests. The validation procedure of the models will be carried out in rigid dies instrumented with pressure sensors and projected with special geometries for the purpose of induce different loading paths (according to the levels of deviatoric and normal stresses) in different regions of the specimen during the pressing. Also, the validation of the models will consider some pressing variables such as: the final geometry of the specimen, stresses recorded by the pressure sensors and density distribution. These variables will be experimentally measured and obtained by numeric simulation using the finite element method via ABAQUS software. If the differences between experimental and numeric results are within a confidence interval the constitutive model will be taken as valid. (AU)

Scientific publications

(6)

(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)

SONEGO, M.; SCIUTI, V. F.; VARGAS, R.; CANTO, R. B.; PESSAN, L. A.. Composite design bioinspired by the mesocarp of Brazil nut (Bertholletia excelsa). BIOINSPIRATION & BIOMIMETICS, v. 17, n. 4, p. 14-pg., 2022-07-01. (18/23081-0, 18/02801-4, 15/25523-1)

VARGAS, R.; PINELLI, X.; SMANIOTTO, B.; HILD, F.; CANTO, R. B.. On the effect of sintering temperature on the fracture energy of an Alumina-Mullite-Zirconia castable at 600?C. Journal of the European Ceramic Society, v. 41, n. 7, p. 4406-4418, JUL 2021. (18/15266-0, 18/23081-0, 18/02801-4)

DE MELO, CAIUA CALDEIRA; FURLAN, MATHEUS; HILD, FRANCOIS; SCHMITT, NICOLAS; CANTO, RODRIGO BRESCIANI. Uniaxial compression test on ceramic green compact with bending consideration using digital image correlation. Powder Technology, v. 376, p. 136-148, OCT 2020. (18/02801-4, 18/15266-0)

MORAIS, MATEUS MOTA; DE MELO, CAIUA CALDEIRA; CANTO, RODRIGO BRESCIANI; FORTULAN, CARLOS ALBERTO. Calibration of powder constitutive model using digital image correlation validated for hollow hemisphere of lead zirconate titanate. Powder Technology, v. 392, p. 212-223, NOV 2021. (18/02801-4, 18/07928-2)

SCIUTI, VINICIUS FIOCCO; VARGAS, RAFAEL; CANTO, RODRIGO BRESCIANI; HILD, FRANCOIS. Modal characterization of crack network development in an MgO containing refractory castable. JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, v. N/A, p. 11-pg., 2023-01-12. (18/23081-0, 18/02801-4, 18/15266-0)

SCIUTI, V. F.; VARGAS, R.; CANTO, R. B.; HILD, F.. Pyramidal adaptive meshing for Digital Image Correlation dealing with cracks. ENGINEERING FRACTURE MECHANICS, v. 256, OCT 15 2021. (10/20920-9, 18/15266-0, 18/23081-0, 18/02801-4)