Abbas Zolfaghari

Dr. Abbas Zolfaghari


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2022 in Polymer Composites
Verified
Journal Article
Closed access
AAAria Amiri
Aria Amiri
AZAbbas Zolfaghari
Abbas Zolfaghari
MSMohsen Shakeri
Mohsen Shakeri

5 November 2023 in Composites Part B: Engineering
Verified
Journal Article
Closed access
MMMehdi Mahdavi
Mehdi Mahdavi
AZAbbas Zolfaghari
Abbas Zolfaghari

11 April 2024 in Progress in Additive Manufacturing
Verified
Journal Article
Closed access
PDF file
AZAbbas Zolfaghari
Abbas Zolfaghari
MPMohammad Reza Purrouhani
Mohammad Reza Purrouhani
Ali ZolfagharianAli Zolfagharian
Ali Zolfagharian

26 June 2023 in Iranian Polymer Journal
Verified
Journal Article
Closed access
PDF file
JSJavid Zare Shiadehi
Javid Zare Shiadehi
AZAbbas Zolfaghari
Abbas Zolfaghari

6 November 2024 in Machines
Verified
Journal Article
Open access
PDF file
MFMohammad Ghasemian fard
Mohammad Ghasemian fard
HBHamid Baseri
Hamid Baseri
AAAref Azami
Aref Azami
AZAbbas Zolfaghari
Abbas Zolfaghari
Carbon fiber-reinforced polymer (CFRP) structures have been increasingly used in various aerospace sectors due to their outstanding mechanical properties in recent years. However, the poor machinability of CFRP plates, combined with the inhomogeneous behavior of fibers, poses a challenge for manufacturers and researchers to define the critical factors and conditions necessary to ensure the quality of holes in CFRP structures. This study aims to analyze the effect of drilling parameters on CFRP delamination and to predict hole quality using a regression-based approach. The design of the experiment (DOE) was conducted using Taguchi’s L9 3-level orthogonal array. The input drilling variables included the feed rate, spindle speed, and three different drill types. A regression-based model using partial least squares (PLS) was developed to predict delamination defects during the drilling of CFRP plates. The PLS model demonstrated high accuracy in predicting delamination defects, with a Mean Squared Error (MSE) of 0.0045, corresponding to an accuracy of approximately 99.6%, enabling the rapid estimation of delamination. The model’s predictions were closely aligned with the experimental results, although some deviations were observed due to tool inefficiencies, particularly with end mill cutters. These findings offer valuable insights for researchers and practitioners, enhancing the understanding of delamination in CFRPs and identifying areas for further investigation.

16 November 2023 in Journal of Thermoplastic Composite Materials
Verified
Journal Article
Closed access
AMAmir Hossein Maleki
Amir Hossein Maleki
AZAbbas Zolfaghari
Abbas Zolfaghari
Conductive polymer composites (CPCs) are manufactured by compounding conductive particles with a polymer matrix. There are many applications where they are used, including light-weight applications requiring both electrical and heat conductivity. Carbon nanotubes (CNTs) have been accepted as common materials to accomplish this goal. As part of this research, a material extrusion additive manufacturing (AM) process was utilized to create nanocomposites by a 3D-printing technique. Multi-wall carbon nanotubes (MWCNTs) were mixed in 1, 3 and 6 wt fractions with acrylonitrile butadiene styrene (ABS) and extruded in filament form. Three-dimensionally printed specimens were used to evaluate electrical, electromagnetic interference shielding effectiveness (EMI SE) and tensile properties. The electrical conductivity of the material was 26 times greater than that of ABS. In the X-band of electromagnetic waves, EMI SE's reflected and absorbed portions increased respectively 4 and 16 times. The tensile strength and modulus were enhanced by 15% and 9%, respectively. On composite specimens, microwave heat treatment was applied. There is less void space between the rasters and layers, which helps improve tensile properties. Additionally, 3D-printed specimens were tested for melt flow rate (MFR) and dynamic mechanical behaviour. The nozzle has experienced some wear due to the intrinsic abrasive nature of CNTs.