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Ali Parvizi

Researcher at University of Tehran

Publications -  45
Citations -  445

Ali Parvizi is an academic researcher from University of Tehran. The author has contributed to research in topics: Finite element method & Deep drawing. The author has an hindex of 11, co-authored 41 publications receiving 334 citations. Previous affiliations of Ali Parvizi include Islamic Azad University & Sharif University of Technology.

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Optimum curved die profile for tube drawing process with fixed conical plug

TL;DR: In this article, the authors presented an optimum curved die profile utilized in tube drawing process with fixed conical plug to minimize the required tensile stress in the process as well as reducing the stress which is applied to the die and plug.
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A two dimensional upper bound analysis of the ring rolling process with experimental and FEM verifications

TL;DR: In this paper, an upper bound solution is used to determine the ring rolling power and force and an admissible velocity field and strain rates are derived from the parametric definition of streamlines in the deforming zone.
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Slab Analysis of Ring Rolling Assuming Constant Shear Friction

TL;DR: In this article, an analytic solution for ring rolling process based on the slab method theory is presented, in which the non-uniformity of the normal and shear stresses across the section of the deforming material throughout the plastic region is considered.
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Multi-objective topology optimization of deep drawing dissimilar tailor laser welded blanks; experimental and finite element investigation

TL;DR: In this article, the effects of process input factors on deep drawing process of LWBs were evaluated by applying Nd:YAG laser welding, experimental and numerical investigations are carried out to evaluate the effects.
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Comparison between laser beam and gas tungsten arc tailored welded blanks via deep drawing

TL;DR: In this article, the deformation behavior of tailor welded blanks (TWBs) manufactured by laser beam welding (LBW) and gas tungsten arc welding (GTAW) was analyzed through the deep drawing process.