2020
DOI: 10.1016/j.applthermaleng.2020.115619
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A general IHTC model for hot/warm aluminium stamping

Abstract: Different hot and warm stamping technologies with particular processing parameters were applied to deform aluminium alloy sheets to satisfy desired requirements, of which the post-form strength of formed components is one of the most important criteria. In order to save experimental efforts, the present research described an efficient method to determine the critical processing parameters, i.e. the integration of the finite element (FE) simulated temperature evolutions with the continuous cooling precipitation… Show more

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Cited by 6 publications
(2 citation statements)
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“…The IHTC in a stamping heat transfer coefficient model usually depends on the contact pressure, material of the contacting body, and type of lubricant [32]. This paper's die-pressing heat transfer coefficient model further took into account the impact of die temperature on the IHTC value between AA6061 and the steel die, as the presence of the temperature field also affects IHTC.…”
Section: Predictive Model For Ihtc Between Aa6061 and Diesmentioning
confidence: 99%
“…The IHTC in a stamping heat transfer coefficient model usually depends on the contact pressure, material of the contacting body, and type of lubricant [32]. This paper's die-pressing heat transfer coefficient model further took into account the impact of die temperature on the IHTC value between AA6061 and the steel die, as the presence of the temperature field also affects IHTC.…”
Section: Predictive Model For Ihtc Between Aa6061 and Diesmentioning
confidence: 99%
“…Suitable material characterisation and accurate boundary condition definitions are essential prerequisites for a robust FE prediction of material behaviour and sophisticated forming conditions 12 . Considerable efforts have been made by researchers to expand the functionalities of FE analysis to address the different problems encountered in metal forming, such as insufficient formability, poor surface quality, inadequate quenching and post-form strength as well as springback 13 19 . The wide utilisation of FE models in various manufacturing sectors makes it a promising and appropriate source of data to accelerate the transformation to digital manufacturing and thus increase the efficiency of the manufacturing system, including the metal forming industry.…”
Section: Introductionmentioning
confidence: 99%