Open AccessThe Effect of Process and Model Parameters in Temperature Prediction for Hot Stamping of Boron Steel
Author(s) -
Chaoyang Sun,
Qian Bai,
Jianguo Lin,
Takeki Matsumoto,
Trevor Dean
Publication year - 2013
Publication title -
advances in mechanical engineering/advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2013/829379
Subject(s) - blank , hot stamping , materials science , quenching (fluorescence) , boron , finite element method , die (integrated circuit) , homogeneity (statistics) , heat transfer coefficient , deformation (meteorology) , heat transfer , composite material , metallurgy , structural engineering , mechanics , engineering , computer science , chemistry , physics , organic chemistry , quantum mechanics , machine learning , fluorescence , nanotechnology
Finite element models of the hot stamping and cold die quenching process for boron steel sheet were developed using either rigid or elastic tools. The effect of tool elasticity and process parameters on workpiece temperature was investigated. Heat transfer coefficient between blank and tools was modelled as a function of gap and contact pressure. Temperature distribution and thermal history in the blank were predicted, and thickness distribution of the blank was obtained. Tests were carried out and the test results are used for the validation of numerical predictions. The effect of holding load and the size of cooling ducts on temperature distribution during the forming and the cool die quenching process was also studied by using two models. The results show that higher accuracy predictions of blank thickness and temperature distribution during deformation were obtained using the elastic tool model. However, temperature results obtained using the rigid tool model were close to those using the elastic tool model for a range of holding load