Abstract
Using an inverse analysis technique, the heat transfer coefficient on the die-workpiece contact surface of a hot stamping process was evaluated as a power law function of contact pressure. This evaluation was to determine whether the heat transfer coefficient on the contact surface could be used for finite element analysis of the entire hot stamping process. By comparing results of the finite element analysis and experimental measurements of the phase transformation, an evaluation was performed to determine whether the obtained heat transfer coefficient function could provide reasonable finite element prediction for workpiece properties affected by the hot stamping process.
Highlights
Hot stamping is a key technology for providing high-strength lightweight steel car body parts that led to the development of fuel-efficient cars [1,2]
We considered the industrial hot stamping process using a hat-type die, which can be used for manufacturing automotive body reinforcement parts such as side sill, and obtained the interface heat transfer coefficient based on the inverse analysis technique
For the forming stage, the interface heat transfer coefficient on the contact surface was modeled as a power law function of contact pressure
Summary
Hot stamping is a key technology for providing high-strength lightweight steel car body parts that led to the development of fuel-efficient cars [1,2]. Determined the interface heat transfer coefficient as a linear function of contact pressure for a sheet metal workpiece placed between flat plates and examined its validity by applying it to the finite element analysis of a cup drawing test. The limitation of their investigation is that the nonlinear dependence of heat transfer coefficient on pressure was not examined. The function obtained for the forming stage was applied as the interface heat transfer coefficient for finite element analysis and evaluated based on the martensite phase ratio measured by optical microscopy and X-ray diffraction. The performance of the present heat transfer coefficient models was evaluated
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