Predicting maximum force in SPIF for different materials

Materia

article

Rafael Gustavo Schreiber¹  Lucas Santos Savi Mondo¹  Andrison Rodrigues Teixeira²  Anderson Daleffe³  Lirio Schaeffer² 

[1] Instituto Federal de Educação;Universidade Federal do Rio Grande do Sul;Centro Universitário UNISATC

关键词: SPIF;    Maximum Axial Force;    FEM;    Multiple Regression;   

DOI  :  10.1590/1517-7076-RMAT-2022-0230

学科分类：工程和技术（综合）

来源: Universidade Federal do Rio de Janeiro * Coordenacao dos Programas de Pos-Graduacao de Engenharia

【 摘 要 】

Knowing the importance of predicting acting forces during the formation process, our research has conducted 27 Single Point Incremental Forming (SPIF) experiments in hyperboloid format, followed by Finite Element Method (FEM) simulations and regression equations were determined to estimate the maximum axial force in the process. ANOVA analysis of variance was used to determine the significance of material parameters in the maximum axial force response. A multiple linear regression model was constructed to estimate the maximum axial force in the SPIF process. After the experiments, we were able to identify that the maximum axial force increases according to an increase in tool radius, sheet initial thickness, and strength coefficient values, as well as according to the decrease in the strain-hardening exponent. The FEM simulations are in agreement with the experimental values found, and the linear regression model has proven to be efficient to describe results, with R2 of 98.85% and a maximum percentage error of 11.5%.

【 授权许可】

CC BY