P
Parviz Asadi
Researcher at Imam Khomeini International University
Publications - 70
Citations - 2618
Parviz Asadi is an academic researcher from Imam Khomeini International University. The author has contributed to research in topics: Friction stir processing & Friction stir welding. The author has an hindex of 25, co-authored 63 publications receiving 1915 citations. Previous affiliations of Parviz Asadi include Elsevier & University of Tehran.
Papers
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Journal ArticleDOI
Investigation of mechanical properties of Cu/SiC composite fabricated by FSP: Effect of SiC particles’ size and volume fraction
TL;DR: In this paper, the authors investigated the structural, mechanical properties and wear resistance of FSP-processed materials as a function of volume fraction of SiC particles and found that adding micro-and nano-sized particles decreases the tensile strength and percent elongation.
Journal ArticleDOI
Producing of AZ91/SiC composite by friction stir processing (FSP)
TL;DR: In this article, the effect of process parameters such as rotational and traverse speeds, tool penetration depth and tilt angle on the formation of defects such as cracks, tunnelling cavity and also on sticking of matrix material to the tool was investigated.
Journal ArticleDOI
Characterization of AZ91/alumina nanocomposite produced by FSP
Ghader Faraji,Parviz Asadi +1 more
TL;DR: In this paper, the microstructures, wear property and micro-hardness of AZ91 Mg alloy/alumina particle reinforced nano-composite produced by friction stir processing (FSP) were investigated.
Book
Advances in Friction-Stir Welding and Processing
TL;DR: In this article, an Artificial Neural Network (ANN) was used for optimization and simulation of FSW and FSP of polymers in the context of FSP as a welding and casting repair technique.
Journal ArticleDOI
Simulation of material flow in friction stir processing of a cast Al–Si alloy
TL;DR: In this article, a 3D Lagrangian incremental finite element method (FEM) simulation of friction stir processing (FSP) was developed to predict defect types, temperature distribution, effective plastic strain, and especially material flow in the weld zone.