Browsing by Author "Bakhtiani, Tushar"

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    EFFECTS OF COATING ON DIE COMPONENTS DURING ALUMINUM EXTRUSION PROCESS
    (Office of the Vice Chancellor for Research, 2014-04-11) Bakhtiani, Tushar; Zhang, Jing; El-Mounayri, Hazim
    In aluminum extrusion the life of the die tooling components are mainly limited by wear and fatigue. Therefore reliable predictions of the amount of wear and its distribution in dies are important factors for the die manufacturer[1]. In this study the stress location and wear depth of the tooling components were calculated with the help of Archards wear model which is implemented into Deform 3D finite element code for large scale plastic deformation. Using Deform 3D a comparative study was conducted on the modular die design mandrel and die plate made out of powder metal (PM) tool steel without coating and Bilayer chemical vapor deposition (CVD) coating of (TiCN + Al2O3) to locate to maximum stress locations and to calculate the amount of wear that occurs during hot aluminum extrusion. The results generated from the simulation would help predict the service life of the components, would also help in optimizing the right amount of thickness needed for the coating to improve die life and would also help in understanding the effects of coating on die stress and wear.
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    Numerical simulation of aluminum extrusion using coated die
    (2014) Bakhtiani, Tushar; El-Mounayri, Hazim; Zhang, Jing
    In aluminium extrusion, the life of the die tooling components is mainly limited by wear and fatigue. Therefore reliable predictions of the amount of wear and its distribution in dies are important factors for the die design. In this study the stress location and wear depth of the tooling components were calculated using finite element models incorporating the Archards wear model. A comparative study was conducted on an extrusion die without coating and with a bilayer (TiCN + Al2O3) chemical vapor deposition (CVD) coating. Stress distribution and the amount of wear were calculated. The results generated from the simulation would help predict the service life of the components through optimizing coating thickness.